Di balik keputusan peluncuran
Peluncuran GreenLeaf di Inggris: ikuti alurnya, periksa bukti, buka laporannya.
Perusahaan fiktif · data sintetis
Jelajahi peluncuran1–14 September 2026 · kohor tujuh hari · cuplikan data retrospektif 22 September
Dalam contoh ini
Kenali GreenLeaf
Merek suplemen fiktif AS yang memasuki pasar Inggris.
Hipotesis peluncuran
Apakah transparansi bahan membantu pembeli Inggris memilih GreenLeaf?
- Target penyelesaian kuis
- 45%
- Target pendapatan bulanan di Inggris
- US$60.000
- Target pengenalan merek tanpa petunjuk
- 15%
Baca konteks bisnis
Sumber editorial bahasa Inggris — publikasi dan rilis pemilik/manusia masih tertunda. GreenLeaf adalah fiktif. Data kampanye dan pembaruan konteks berikutnya ditulis untuk pengajaran; respons AI yang direkam adalah nyata. Pemeriksaan di bawah ini adalah perhitungan independen dan tinjauan editorial berbantuan AI, bukan tinjauan manusia yang selesai atau persetujuan klien. Contoh ini tidak mengukur akurasi AI, keunggulan manusia, waktu yang dihemat, atau ROI kampanye.
GreenLeaf Wellness menjual suplemen berlangganan: sayuran hijau harian, campuran protein, dan kombinasi adaptogen. Perusahaan ini berekspansi dari AS ke Inggris dengan proposisi spesifik: pelanggan dapat memeriksa sumber bahan dan dosis alih-alih memercayai campuran proprietary yang tidak dijelaskan.
Pertanyaan peluncurannya mudah diajukan tetapi lebih sulit dijawab: akankah pembeli Inggris cukup peduli untuk memilihnya? Untuk membuat rekomendasi yang berguna, tim harus menghubungkan hipotesis pelanggan, pilihan kampanye, dan rencana pengukuran dengan hasilnya. Jalur ini mengikuti serah terima tersebut menjadi satu contoh pelaporan lengkap.
Inilah keputusan di pusatnya. Penyelesaian kuis mobile berbayar turun dari 3,780 dari 8,400 mulai (45%) menjadi 2,352 dari 8,400 (28%). Draf AI merekomendasikan tinjauan diagnostik, tetapi juga memberikan total finansial yang salah dan mengabaikan perubahan bermakna dalam campuran audiens. Perhitungan yang diperiksa mendukung penyelidikan komposisi kohor dan perjalanan mobile. Catatan produk/dukungan fiktif kemudian membuat penyelidikan lebih spesifik, sambil membiarkan penyebabnya tidak terselesaikan.
Periodenya adalah September 1–7 dan September 8–14, 2026, menggunakan kohor klik berbayar UTC. Peristiwa funnel dan pembelian memiliki jendela pengamatan tujuh hari yang sama. Snapshot-nya adalah September 22 pukul 23:59:59 UTC. Kedua periode sudah matang: ini adalah perbandingan retrospektif, bukan bukti bahwa peringatan menangkap masalah selama peluncuran.
Mulailah dengan keputusan yang Anda pegang
| Tanggung jawab Anda | Yang Anda butuhkan dari pekerjaan ini |
|---|---|
| Kepemimpinan agensi | Saran yang dapat Anda pertahankan, fakta konsisten di seluruh deliverable, dan keputusan rilis klien yang jelas. |
| Kepemimpinan pemasaran internal | Bukti untuk mengubah prioritas peluncuran, dan pembedaan antara diagnosis dan persetujuan komersial. |
| Kepemimpinan media atau kinerja | Kohor yang sebanding, definisi peristiwa, perhitungan yang diperiksa, dan penyelidikan spesifik. |
| Pekerjaan kreatif, produk, atau implementasi | Pertanyaan yang dapat diuji, bukti yang hilang dari data saat ini, dan langkah berikutnya yang dapat dipertanggungjawabkan. |
Anda dapat memeriksa setiap deliverable. Perspektif pembaca ini berbagi satu perusahaan dan satu dataset; mereka tidak memproduksi fakta yang berbeda. Tiga penerima laporan kursus tetap pendiri, tim media, dan tim konten/kreatif.
Pahami pelanggan sebelum menafsirkan kampanye
Kursus ini memperkenalkan Oliver, seorang biohacker skeptis yang ingin mengaudit bukti di balik suplemen. Ia adalah hipotesis persona sintetis, bukan pelanggan yang diwawancarai.
Serah terima yang berguna kepada tim peluncuran terlihat seperti ini:
| Hipotesis kerja | Pertanyaan untuk riset nyata | Konsekuensi untuk kampanye |
|---|---|---|
| Transparansi bahan penting | Apa yang diverifikasi pembeli sebelum pembelian suplemen terakhir mereka? | Uji apakah bukti sumber dan dosis layak mendapat tempat utama. |
| Harga lebih rendah dapat menimbulkan keraguan tentang kualitas | Apa yang membuat penawaran terasa kredibel atau mencurigakan? | Jelaskan nilai dengan informasi pendukung daripada klaim kualitas tanpa dasar. |
| Kuis dapat membantu pembeli memilih | Apa yang membuat pembeli memercayai atau meninggalkan perjalanan itu? | Periksa pengalaman pasca-klik serta iklannya. |
Rekonstruksi menggunakan kelompok audiens skeptical dan exploring serta pesan traceability dan value. Ini adalah kategori yang dibangun untuk analisis, bukan segmen psikologis yang divalidasi atau penugasan acak. Pesan ketertelusuran ilustratifnya adalah “Know what is in every serving.” (Ketahui kandungan dalam setiap sajian) Setiap penerapan nyata akan memerlukan informasi produk yang didukung bukti dan tinjauan klaim yang sesuai.
Serah terima aktivasi bersifat konkret: iklan → halaman arahan → mulai kuis → penyelesaian kuis → pembelian pertama, dengan pengenal kampanye, perangkat, audiens, dan kreatif yang konsisten. Tim pelapor memerlukan penamaan dan definisi peristiwa, plus riwayat rilis dan pengujian. Pesan iklan tidak dapat menjelaskan peristiwa penyelesaian yang rusak; persona yang masuk akal tidak dapat membuktikan pesan berhasil.
Tentukan keberhasilan sebelum membuka ekspor
| Tujuan bisnis | Target kursus fiktif | Yang dapat ditetapkan oleh input ini |
|---|---|---|
| Membantu pembeli maju melalui pertimbangan | 45% penyelesaian kuis | Penyelesaian ÷ mulai dalam kohor berbayar yang disediakan. |
| Menghasilkan pendapatan pelanggan baru Inggris | $60,000 per bulan | Pendapatan pembelian pertama yang diatribusikan dari dua minggu kohor klik berbayar, bukan hasil sebulan penuh. |
| Membangun pengakuan | 15% kesadaran tanpa bantuan | Tidak tersedia; klik dan impresi tidak dapat menggantikan riset kesadaran. |
| Mendapatkan pelanggan dengan nilai jangka panjang | $480 LTV pada 12 bulan | Tidak tersedia; pendapatan pesanan pertama tidak dapat menetapkan retensi atau LTV. |
CTR, CPC, dan CPM membantu menyelidiki kinerja. Mereka tidak menggantikan hasil ini. Kursus ini juga memberikan pagar pembatas CAC impas $312, tetapi ekspor hanya berisi biaya media dan pelanggan pembelian pertama yang diatribusikan. CPA media bukanlah CAC penuh. Menerapkan pagar pembatas tersebut memerlukan rekonsiliasi sepadan atas biaya, pelanggan, dan asumsi ekonomi.
Brief pelaporan v1
Peluncuran GreenLeaf di Inggris — ringkasan pelaporan v1
Versi: 1.0 · Ditulis: 2026-10-29 · Status: Masukan sumber bahasa Inggris untuk contoh pengajaran fiktif; bukan laporan yang diterbitkan. Bekukan ringkasan ini, kamus, dan peta sumber sebelum pembuatan fixture. Bekukan hash masukan proses yang tepat secara terpisah setelah verifikasi data. Tidak ada respons AI atau hasil analitis yang diklaim oleh ringkasan ini.
Bisnis dan serah terima ke pelaporan
GreenLeaf Wellness adalah bisnis suplemen langganan fiktif dalam kursus ini, yang berekspansi dari AS ke Inggris. Produknya mencakup sayuran hijau harian, campuran protein, dan kombinasi adaptogen. Pembeda yang diusulkan adalah keterlacakan bahan dan dosis yang transparan. Pertanyaan komersialnya adalah apakah proposisi tersebut membantu pembeli di Inggris maju dari pertimbangan ke pembelian pertama. Rekonstruksi ini memeriksa kohor berbayar; rekonstruksi ini tidak dapat menentukan keberhasilan keseluruhan peluncuran.
| Pekerjaan hulu | Serah terima konkret yang disediakan di sini | Cara pelaporan menggunakannya | Bukti yang masih diperlukan |
|---|---|---|---|
| Riset dan strategi | Oliver, biohacker yang skeptis, adalah hipotesis persona sintetis. Keberatan: dapatkah saya memverifikasi apa yang ada dalam satu porsi, dan apakah harganya mencerminkan nilai? Pertanyaan wawancara: bukti apa yang mengubah daftar pendek suplemen terakhir Anda? | Bandingkan hipotesis audiens skeptical dan exploring serta pesan traceability dan value tanpa memperlakukan pengenal sebagai psikologi yang tervalidasi. | Wawancara pelanggan nyata, keberatan yang diamati, dan definisi segmen yang tervalidasi. |
| Pengukuran | Tujuan bisnis → KPI → tuas diagnostik. Penyelesaian kuis = penyelesaian / permulaan; pendapatan pelanggan baru memiliki target bulanan. Kohor klik berbayar UTC tujuh hari memiliki aturan kematangan umum. | Pertahankan hasil di atas CTR/CPC/CPM dan bandingkan penyebut yang sepadan. | Rekonsiliasi pendapatan bulanan semua saluran, riset kesadaran, riwayat retensi, dan desain/hasil inkrementalitas. |
| Aktivasi | Pesan ilustratif: “Know what is in every serving.” (Ketahui kandungan dalam setiap sajian) Pesan kedua menguji nilai melalui informasi dosis yang jelas. Perjalanan: iklan → halaman arahan → permulaan kuis → penyelesaian → pembelian pertama. ID kanonik kampanye/perangkat/audiens/kreatif ada di dalam kamus. | Periksa pesan, audiens, perangkat, dan tahap corong; minta rekonsiliasi peristiwa dan rilis sebelum mendiagnosis. | Substansiasi klaim produk apa pun, log QA peristiwa, ekspor platform iklan, dan register rilis/pengujian berstempel waktu. Pesan ilustratif ini bukan iklan yang disetujui. |
| Memori institusional | v1 ini mencatat semua konteks skenario yang saat ini disediakan. Tidak ada dasar musiman historis, log preferensi klien, temuan agensi sebelumnya, atau insiden produk yang diketahui yang disediakan. | Perlakukan riwayat yang hilang sebagai tidak diketahui; tanyakan kepada pemiliknya daripada menciptakan sensitivitas pendiri atau penjelasan musiman. | Tindak lanjut pemilik produk/dukungan dan komersial; catat informasi yang kemudian dipelajari beserta asalnya di v2. |
Peta sumber memisahkan fakta kursus, pilihan rekonstruksi baru, dan hasil turunan selanjutnya. Sumber: keterlacakan kursus. Semantik bidang: kamus.
1. KPI dan target
| Keputusan bisnis | Target skenario kursus | Bukti yang tersedia dari rekonstruksi ini | Batas pelaporan |
|---|---|---|---|
| Apakah pembeli maju melalui pertimbangan? | 45% penyelesaian kuis | Penyelesaian kuis kohor berbayar ÷ permulaan, termasuk perangkat seluler dan desktop secara terpisah | Perbandingan seluler yang ditulis adalah 45% → 28%, penurunan 17 poin persentase (sekitar 37.8% relatif). Verifikasi jumlah setelah pembuatan; ini adalah batasan pengajaran, bukan hasil klien yang diamati atau tingkat seluruh situs. |
| Apakah peluncuran di Inggris menghasilkan pendapatan pelanggan baru? | USD $60,000 per bulan | Pendapatan pembelian pertama yang diatribusikan untuk kohor klik berbayar September 1–14 | Dua minggu kohor berbayar tidak menetapkan hasil satu bulan penuh semua saluran. Jangan memproratakan target menjadi vonis keberhasilan. Dapatkan bulan penuh, definisi pendapatan umum, dan buku besar pelanggan baru yang direkonsiliasi. |
| Apakah GreenLeaf semakin dikenal? | 15% kesadaran tanpa bantuan | Tidak tersedia | Tayangan, klik, dan pendapatan berbayar tidak dapat menggantikan studi kesadaran merek. |
| Apakah pelanggan bernilai dari waktu ke waktu? | USD $480 LTV pada 12 bulan | Tidak tersedia | Pendapatan pesanan pertama tidak dapat menetapkan LTV atau retensi yang terealisasi. |
$312 CAC titik impas kursus ini adalah pagar pengaman perencanaan skenario. Ekspor ini menyediakan belanja media dan pelanggan pembelian pertama yang diatribusikan, sehingga mendukung CPA media, bukan CAC penuh. Rekonsiliasi cakupan biaya akuisisi, pelanggan baru yang unik, periode, dan asumsi ekonomi sebelum membandingkan dengan pagar pengaman tersebut. Tidak ada klaim pelanggaran CAC atau profitabilitas yang mengikuti dari CPA media saja.
CTR, CPC, CPM, tingkat klik-ke-permulaan, tingkat penyelesaian-ke-pembelian, CPA media, dan ROAS pesanan pertama yang diatribusikan adalah tuas diagnostik. Frekuensi, pangsa tayangan, dan tingkat pentalan tidak tersedia karena bidang sumber yang diperlukan tidak ada. Kenaikan inkremental, pendapatan seluruh situs, pengembalian dana di luar fixture, ekonomi akuisisi penuh, dan hasil jangka panjang tetap tidak diketahui.
2. Pemangku kepentingan, keputusan, dan otoritas rilis
Satu prompt harus menghasilkan ketiga draf dari ringkasan yang sama dan kumpulan data yang direkonsiliasi. Setiap temuan menjawab APA yang terjadi → MENGAPA itu penting → APA SELANJUTNYA, memisahkan fakta yang diperiksa, hipotesis, hal yang tidak diketahui, dan tindakan yang diusulkan.
| Penerima | Keputusan yang harus didukung laporan | Kiriman yang diperlukan | Otoritas dan batas |
|---|---|---|---|
| Pendiri / CEO (atau pemimpin pemasaran internal) | Haruskah prioritas peluncuran berubah sekarang, atau haruskah tim memperoleh bukti spesifik sebelum keputusan komersial? | Ringkasan satu halaman tentang sinyal bisnis, ketidakpastian material, dan keputusan berikutnya yang disebutkan. | Pendiri/pemilik pemasaran menyetujui prioritas komersial dan anggaran. Tidak ada realokasi otomatis, estimasi pendapatan yang hilang tanpa dukungan, atau vonis target bulanan. |
| Tim media | Kohor, definisi peristiwa, atau tahap perjalanan mana yang harus diselidiki terlebih dahulu, dan bukti apa yang akan mengubah keputusan media berikutnya? | Analisis saluran/perangkat/audiens/kreatif, jumlah corong, tingkat tertimbang, dan pemeriksaan campuran tetap. | Pimpinan media memiliki rekonsiliasi sumber dan urutan kerja diagnostik; perubahan belanja memerlukan persetujuan komersial. |
| Tim konten & kreatif | Haruskah pengujian berikutnya berfokus pada pesan, pengalaman pasca-klik, atau bukti yang diperlukan untuk memilih di antara keduanya? | Ringkasan pengujian/kreatif terfokus dengan hipotesis, bukti yang diperlukan, pemilik, dan ukuran keberhasilan. | Pimpinan kreatif mengusulkan pengujian; pemilik produk menyetujui perubahan produk dan substansiasi klaim yang relevan. Tidak ada pemenang kreatif tanpa dukungan atau klaim kausal. |
Pemimpin agensi dapat memeriksa kualitas saran dan disiplin rilis; pemimpin internal dapat memeriksa bukti untuk mengubah rencana; pimpinan kinerja dapat memeriksa pekerjaan diagnostik. Pembaca yang mengevaluasi pertimbangan profesional dapat memeriksa bukti yang sama. Perspektif pembaca ini tidak menggantikan tiga kiriman kursus atau mengubah fakta yang mendasarinya.
Peninjau yang kompeten dalam definisi pengukuran dan operasi kampanye memeriksa rekonsiliasi sumber, perhitungan, logika perbandingan, dan keputusan yang diusulkan. Pendiri/pemilik pemasaran mempertahankan otoritas rilis untuk rekomendasi kepemimpinan/berhadapan dengan klien. Ini adalah penetapan peran fiktif, bukan orang, pesan, atau persetujuan nyata.
3. Lapisan konteks dan hal yang tidak diketahui
Temporal: Minggu 1 = September 1–7, 2026; Minggu 2 = September 8–14. date adalah tanggal kohor klik berbayar UTC. Peristiwa corong dan pembelian yang diatribusikan berbagi tujuh hari setelah klik yang memenuhi syarat. Snapshot = 2026-09-22T23:59:59Z, saat kedua periode sudah matang. Ini adalah perbandingan retrospektif, bukan bukti deteksi selama Minggu 2. Tidak ada efek musiman, penjelasan hari libur, atau dasar yang lebih awal yang disediakan.
Bisnis: Ekspansi Inggris, produk langganan, dan proposisi transparansi berasal dari skenario kursus fiktif. Mata uang pelaporan adalah USD untuk mempertahankan unit target kursus. Tidak ada harga Inggris yang nyata, konversi nilai tukar, klaim kesehatan yang disetujui, anggaran peluncuran, atau ekonomi pelanggan penuh yang ditetapkan di sini.
Kompetitif: kursus menggunakan AG1, Huel, Ritual, Seed, dan Thorne sebagai konteks kategori yang dapat dikenali. Harga saat ini, kampanye pesaing, dan pangsa pasar belum diteliti untuk contoh ini; tidak ada pergerakan yang dapat diatribusikan kepada mereka. Dialog persona Oliver bersifat sintetis, bukan transkrip wawancara dari pelanggan nyata.
Riwayat klien/tim: status rilis produk, temuan QA seluler, umpan balik dukungan, sensitivitas pendiri, penetapan pengujian audiens, dan pelajaran pelaporan sebelumnya belum disediakan pada v1. Ketiadaan dari masukan ini tidak berarti tidak ada yang berubah. Urutan kerja diagnostik pertama harus meminta konteks berstempel waktu dari produk/dukungan dan pengukuran untuk rekonsiliasi peristiwa/versi. Jawaban apa pun adalah informasi baru untuk ringkasan ini dan harus diberi label demikian. Jangan berasumsi ada masalah produk terlebih dahulu.
4. Tolok ukur, dimensi, dan pemeriksaan akal sehat
Perbandingan internal adalah dua periode tujuh hari yang setara dan matang. Target kursus 45% adalah tolok ukur di bawah cakupan kohor berbayar yang dinyatakan; tidak ada tolok ukur industri eksternal yang disediakan. Dimensi adalah saluran (google-search, linkedin, reddit-paid), perangkat (mobile, desktop), audiens (skeptical, exploring), kreatif (traceability, value), dan tahap corong. Ini adalah keranjang pelaporan yang saling eksklusif yang dibangun, bukan kinerja penargetan terverifikasi atau klasifikasi persona nyata.
Sebelum menyusun temuan:
- Rekonsiliasi 337 baris mentah ke 336 baris harian kanonik: hapus satu duplikat persis, normalisasi hanya alias kampanye yang dinyatakan, pertahankan jumlah sumber, dan validasi pengenal, jumlah integer/sen, dan
is_provisional. - Periksa ketidaksetaraan corong, cakupan matang, dan asumsi atribusi. Jangan menyimpulkan pelanggan unik secara independen dari CSV agregat. Penyebut nol menghasilkan rasio yang tidak tersedia, bukan kinerja nol.
- Jumlahkan pembilang dan penyebut sebelum membagi. Jangan pernah merata-ratakan tingkat baris; hitung rasio moneter dari sen tanpa membulatkan nilai antara.
- Periksa pergerakan seluler dalam strata saluran × audiens × kreatif. Bandingkan tingkat strata Minggu 2 menggunakan pangsa permulaan kuis Minggu 1 sebagai bobot tetap. Laporkan agregat yang diamati, perbandingan campuran tetap, bobot, dan strata yang tidak terdefinisi. Diagnosis komposisi versus pergerakan dalam kelompok sebelum penjelasan produk; pola mana pun tetap tidak memiliki identifikasi kausal.
- Rekonsiliasi total perangkat dan segmen ke keseluruhan. Jelaskan pendapatan pesanan pertama dengan batas kohor dan atribusinya. Jangan menyalin angka aset kursus yang tidak didukung seperti pendapatan yang berisiko, kelipatan segmen, atau perpindahan anggaran yang tepat.
Aturan peringatan retrospektif: untuk kohor seluler berbayar mingguan yang sebanding dan matang dengan setidaknya satu permulaan kuis, tandai penyelesaian di bawah 45%. Deteksi → analisis dengan pemeriksaan sumber/campuran tetap → arahkan diagnostik ke pimpinan media dan pemilik produk → tinjauan manusia. Pemilik yang bertanggung jawab mencatat jendela sumber, snapshot, ketersediaan paling awal yang dapat dipertahankan, keputusan, dan status persetujuan. Sampel statis bukan layanan yang berjalan; tidak ada pesan eksternal, perubahan belanja otomatis, atau klaim kerugian yang dicegah yang diotorisasi.
5. Irama dan ringkasan berikutnya
Mingguan: ringkasan diagnostik/optimasi, potongan kohor yang diperiksa, pemilik, dan permintaan bukti berikutnya. Bulanan: narasi bisnis terhadap periode target penuh, dengan rekonsiliasi semua saluran dan hasil yang tidak tersedia yang eksplisit. Kuartalan: atur ulang asumsi perencanaan, tolok ukur, dan desain pengukuran daripada mengekstrapolasi snapshot ini.
Untuk siklus pengajaran ini, pertahankan prompt multi-audiens aktual dan respons yang tidak diedit; catat metadata model/proses dan hash masukan yang tepat. Sertakan pertanyaan analisis yang terfokus, jawaban yang diperiksa, dan tindak lanjut yang berguna. Tinjauan manusia dapat mengonfirmasi, merevisi, menunda, atau menolak rekomendasi; saran yang tidak berubah adalah hasil yang valid. Konteks fiktif yang baru dipelajari harus telah ditulis dan dicatat hash sebelum proses awal, dan tidak boleh dipasang kemudian untuk menciptakan kegagalan. Itu bukan masukan untuk draf pertama.
Kemudian catat alasan tinjauan, perbarui ringkasan v2 dan diff yang mudah dibaca, dan hasilkan tiga laporan akhir dari fakta yang disetujui. Bedakan perubahan yang dimungkinkan konteks dari pertimbangan peninjau yang independen. Pertahankan hipotesis sebagai hipotesis dalam memori. Urutan ini menunjukkan pertimbangan pelaporan; ini tidak mengukur akurasi AI, keunggulan manusia, waktu yang dihemat, atau ROI klien. Rilis publik memerlukan gerbang lokalisasi dan tinjauan yang diatur secara terpisah.
Tingkat penyelesaian kuis dari trafik seluler berbayar turun dari 45% menjadi 28%
Satu titik = 1% jumlah kuis yang dimulai lewat trafik seluler berbayar. Titik berwarna menunjukkan kuis yang selesai.
3.780 / 8.400 Kuis yang dimulai
Jaga komposisi audiens tetap sama
Tingkat Minggu 2 jika proporsi peserta yang memulai kuis pada setiap kombinasi kanal × audiens × materi kreatif tetap seperti Minggu 1: 35,33%. Perbandingan deskriptif ini tidak membuktikan penyebabnya.
Penurunan teramati. Penyebabnya belum diketahui.
Periksa hasil kerja AI
Diperiksa dengan CSV. Penyebab belum diketahui.
Draf AI terekam · sumber bahasa Inggris · memuat kesalahan penting
Baca respons asli lengkap
Pemanggilan DeepSeek V4 Pro berbasis teks saja, 29 Oktober 2026. Tanpa alat eksekusi kode.
# GreenLeaf Wellness UK — First Reporting Draft
**Scope:** Fictional teaching example. Paid-click cohorts, 1–14 September 2026, mature at 2026-09-22 snapshot.
**Inputs:** `brief-v1.md`, `dictionary.md`, `reconciled.csv`, `campaigns.csv`, `creatives.csv`.
**Status:** Draft for human review. Not a client/customer result or source of public claims.
---
# 1. Founder / CEO Summary
## 1.1 WHAT happened
Mobile quiz completion fell from **45% in Week 1** to **28% in Week 2** (−17 percentage points; about −37.8% relative). The fall is **not explained by device mix, channel mix, audience mix, or creative mix**. It appears inside the mobile strata themselves, and it broadens into weaker downstream purchase output.
At the same time, paid performance outside that mobile completion drop was mixed:
| Metric | Week 1 | Week 2 |
|---|---:|---:|
| Spend | $110,100 | $110,100 |
| Starts | 16,800 | 16,800 |
| Completions | 7,560 | 6,440 |
| New customers | 548 | 482 |
| Attributed first-purchase revenue | $43,840 | $38,560 |
| Media CPA | $200.91 | $228.42 |
| First-order ROAS | 0.40 | 0.35 |
Media CPA rose **$27.51** and first-order ROAS fell **0.05** across the two mature weeks. Desktop completion stayed roughly flat around **46%**, while mobile fell to **28%**.
## 1.2 WHY it matters to the business
The quiz is the main signal for whether UK buyers are progressing through consideration. A 17-point collapse in the largest device group means the promise of the launch is eroding at exactly the point where GreenLeaf should be converting interest into qualified leads and first purchases. The decline is broad across channels and messages, so the immediate question is a **post-click journey or measurement problem**, not a single creative or channel problem.
This is **not yet a proven revenue failure**: the data covers only two seven-day paid cohorts, uses attributed first-purchase revenue only, and there is no full-month, all-channel reconciliation. But the direction matters because every customer acquired after the mobile drop is more expensive at first order.
## 1.3 WHAT’S NEXT — at most three actions
1. **Freeze spend reallocation decisions until diagnostic review is complete.** Owner: founder / marketing owner. The decline is broad, not isolated to one channel or message, so a premature budget change risks moving money away from the real problem.
2. **Approve a 5-working-day diagnostic with named owners.** Owner: media lead + product owner. Priority: event/version source reconciliation, mobile landing/quiz QA, and a review of whether the Week 2 mobile cohort changed in composition or behavior. Evidence requested: release logs, event QA, mobile session detail, and the exact time the 28% mobile completion became visible.
3. **Obtain the full September month before any $60,000 verdict.** Owner: commercial/finance owner + measurement lead. The current export supports media CPA and first-order ROAS only. It cannot establish full CAC, profitability, all-channel revenue, or the stated monthly new-customer revenue target.
**Unavailable and not to be inferred:** full CAC reconciliation, profit, budget size, revenue at risk, incremental lift, awareness contribution, and a full-month revenue verdict.
---
# 2. Media Team Analysis
## 2.1 Data and coverage checks
| Check | Result |
|---|---:|
| Raw rows | 337 |
| Expected canonical rows | 336 |
| Duplicate rows removed | 1 |
| Campaign alias normalized | 1 or more allowed alias rows |
| Rows with `is_provisional=false` | All published primary rows |
| Funnel inequality violations | None found in reviewed canonical rows |
| Week 1 mature at snapshot | Yes |
| Week 2 mature at snapshot | Yes |
Because this response did not execute code, the exact duplicate row ID, alias count, and the zero-denominator row are **reported as requiring verification** in the final reviewed draft. The arithmetic below uses the canonical 336-row structure implied by the brief and dictionary.
## 2.2 Period totals
### All devices, all channels
| Metric | Week 1 | Week 2 |
|---|---:|---:|
| Spend | $110,100 | $110,100 |
| Starts | 16,800 | 16,800 |
| Completions | 7,560 | 6,440 |
| Completion rate | 45.0% | 38.3% |
| New customers | 548 | 482 |
| Attributed first-purchase revenue | $43,840 | $38,560 |
| Media CPA | $200.91 | $228.42 |
| First-order ROAS | 0.40 | 0.35 |
### Mobile only
| Metric | Week 1 | Week 2 |
|---|---:|---:|
| Starts | 8,400 | 8,400 |
| Completions | 3,780 | 2,360 |
| Completion rate | 45.0% | 28.1% |
| New customers | 274 | 176 |
| Attributed first-purchase revenue | $21,920 | $14,080 |
### Desktop only
| Metric | Week 1 | Week 2 |
|---|---:|---:|
| Starts | 8,400 | 8,400 |
| Completions | 3,780 | 4,080 |
| Completion rate | 45.0% | 48.6% |
| New customers | 274 | 306 |
| Attributed first-purchase revenue | $21,920 | $24,480 |
**Composition check:** Total quiz starts stayed identical at 16,800 each week, and the device split stayed identical at 8,400 mobile / 8,400 desktop. So device mix did not drive the aggregate decline. Desktop improved; mobile declined.
## 2.3 Channel comparison
Week 1 and Week 2 totals by channel:
| Channel | Week | Spend | Starts | Completions | New customers | Revenue | Media CPA | First-order ROAS |
|---|---|---:|---:|---:|---:|---:|---:|---:|
| Google Search | W1 | $43,400 | 5,600 | 2,520 | 182 | $14,560 | $238.46 | 0.34 |
| Google Search | W2 | $43,400 | 5,600 | 2,376 | 142 | $11,360 | $305.63 | 0.26 |
| LinkedIn | W1 | $45,800 | 5,600 | 2,520 | 182 | $14,560 | $251.65 | 0.32 |
| LinkedIn | W2 | $45,800 | 5,600 | 2,400 | 166 | $13,280 | $275.90 | 0.29 |
| Reddit paid | W1 | $20,900 | 5,600 | 2,520 | 184 | $14,720 | $113.59 | 0.70 |
| Reddit paid | W2 | $20,900 | 5,600 | 1,664 | 174 | $13,920 | $120.11 | 0.67 |
Nothing here isolates a single channel as the sole cause. **Mobile completion declined in all three channels**, and each channel also had some desktop changes.
## 2.4 Audience and creative comparison
### Week 1 vs Week 2 completion rate by audience
| Audience | Week 1 | Week 2 | Change |
|---|---:|---:|---:|
| Skeptical | 48.0% | 37.5% | −10.5 pp |
| Exploring | 42.0% | 39.1% | −2.9 pp |
### Week 1 vs Week 2 completion rate by creative
| Creative | Week 1 | Week 2 | Change |
|---|---:|---:|---:|
| Traceability | 44.9% | 37.8% | −7.1 pp |
| Value | 45.1% | 38.8% | −6.3 pp |
The decline is visible across both audiences and both creative messages, but it is sharper for the **skeptical** audience. That does not prove the persona is wrong or the message failed. It indicates the fall is not confined to one message.
## 2.5 Mobile strata: channel × audience × creative
Using the supplied CSV pattern, each mobile stratum has **50 starts in the Week 1 baseline** for the cells where starts are non-zero. Therefore each stratum’s Week 1 start weight is:
- 12 strata in scope for the fixed-mix calculation.
- If a stratum had zero Week 1 starts, its weight is zero.
- If all 12 mobile strata have equal Week 1 starts, each weight is approximately `1/12 = 0.0833`.
The dictionary’s fixed-mix rule is:
```text
Fixed-mix Week 1 mobile completion rate
= sum over strata of (weight_s × Week 1 completion rate_s)
Fixed-mix Week 2 comparison
= sum over strata of (weight_s × Week 2 completion rate_s)
```
### Mobile fixed-mix result
Using the observed mobile pattern:
| Mobile stratum | Week 1 starts | Week 1 completion | Week 2 completion |
|---|---:|---:|---:|
| Google / skeptical / traceability | 700 | 54.0% | 44.0% |
| Google / skeptical / value | 700 | 58.0% | 48.0% |
| Google / exploring / traceability | 700 | 25.0% | 17.3% |
| Google / exploring / value | 700 | 29.0% | 20.0% |
| LinkedIn / skeptical / traceability | 700 | 58.0% | 48.0% |
| LinkedIn / skeptical / value | 700 | 62.0% | 52.0% |
| LinkedIn / exploring / traceability | 700 | 28.0% | 19.3% |
| LinkedIn / exploring / value | 700 | 32.0% | 22.0% |
| Reddit / skeptical / traceability | 700 | 62.0% | 52.0% |
| Reddit / skeptical / value | 700 | 66.0% | 56.0% |
| Reddit / exploring / traceability | 700 | 31.0% | 21.3% |
| Reddit / exploring / value | 700 | 35.0% | 24.0% |
The Week 1 weights are equal across these strata because each contributed 700 starts. Therefore the fixed-mix comparison reduces to a simple average of stratum rates.
| Calculation | Rate |
|---|---:|
| Week 1 observed mobile | 45.0% |
| Week 1 fixed-mix mobile | 45.0% |
| Week 2 observed mobile | 28.1% |
| Week 2 fixed-mix mobile | 35.5% |
**Interpretation:**
- The fixed-mix Week 2 rate is still **below** Week 1.
- Therefore the mobile decline is **mostly within-stratum**, not caused by a change in channel/audience/creative mix.
- The remaining difference between the fixed-mix Week 2 rate and the observed Week 2 rate is small and does not explain the drop from 45% to 28%.
## 2.6 Mobile decline diagnosis
### Observed mobile movement
- Week 1 mobile completion: `3,780 / 8,400 = 45.0%`
- Week 2 mobile completion: `2,360 / 8,400 = 28.1%`
### Decomposition
**Composition effect:** essentially absent. Device split stayed 50/50. Channel/audience/creative start shares were stable.
**Within-group effect:** present in nearly every mobile stratum. Completion rates fell in all mobile channel × audience × creative cells.
There is no evidence in this aggregate file to say **why** the within-group mobile completion rates fell. It may be:
- a product or tracking/release change;
- a mobile journey defect;
- a change in the underlying mobile click cohort;
- a measurement/event definition change;
- a true demand or attention shift.
None of these is proven by this two-week export.
---
# 3. Content & Creative Brief
## 3.1 Hypothesis
**Primary hypothesis:** The mobile quiz completion decline is primarily a **post-click experience or measurement break**, not a creative message failure.
**Reasoning:**
- The decline appears across all three channels.
- It appears across both `traceability` and `value` messages.
- It appears across both audiences, though more sharply in `skeptical`.
- Fixed-mix analysis shows mixture changes do not explain the decline.
- Desktop completion stayed near or above Week 1 levels.
If creative message were the main lever, we would expect one message or one audience/channel combination to diverge more sharply. That is not what the data show.
## 3.2 Focused next test
**Test:** Mobile quiz journey diagnostic + message-specific post-click check.
**Owner:** Creative lead proposes the test. Product owner approves product changes or claim substantiation.
**Required evidence before a creative pivot:**
1. Timestamped mobile landing-page and quiz release log.
2. Event QA or replay data for mobile quiz starts and completions.
3. Comparison of mobile completion by landing-page variant, quiz version, and `creative_id` within the same audience/channel stratum.
4. Confirmation that the session source tagging and completion tracking did not change between Week 1 and Week 2.
**Proposed test frame:**
| Component | Detail |
|---|---|
| Question | Does mobile quiz completion recover when the journey/event tracking is confirmed stable? |
| Comparator | Mobile quiz completes / starts, by channel × audience × creative, with release/event context. |
| Action | Do not change creative or budget first. Run a diagnostic cohort with stable tracking. |
| Success measure | Mobile completion returns toward the Week 1 45% level or shows a specific stratum-specific defect. |
| Decision rule | If one stratum remains broken, fix that stratum. If all strata remain low after confirmed tracking, then move to a message/post-click test. |
**Do not recommend a creative winner now.** Both creative messages look affected; neither has causal support as the problem.
---
# 4. Limitations
## 4.1 Data and arithmetic limitations
- This is a **fictional teaching example**; no real campaign, customer, or platform data are present.
- No code-execution tool was used in this request. Calculations were performed by stated hand arithmetic from the supplied CSV structure. They should be re-run in the final reviewed draft.
- The analysis is based on **aggregate paid-click cohorts**, not person-level identity or full customer records.
- The export covers **two seven-day periods only**. It is not a full-month result.
- All purchases and revenue are **attributed first-purchase outcomes only**.
- Revenue in the fixture is constructed at **$80 per first-purchase customer**; this is a teaching assumption, not pricing or LTV.
- No refunds, renewals, cross-device identity, organic contribution, incrementality, or full acquisition costs are available.
## 4.2 Analysis limitations
- **No causal explanation** is available for the mobile decline.
- The fixed-mix calculation uses observed Week 1 start weights and assumes the listed strata are complete. Any missing stratum or zero denominator would alter the result.
- The `skeptical` and `exploring` audiences are **constructed buckets**, not validated segments.
- `traceability` and `value` are message hypotheses; they are not approved advertising claims.
- No release logs, QA records, or event-level timestamps were used.
- No budget, profit, CAC reconciliation, or incremental result was calculated because the data does not support it.
## 4.3 Reporting limitations
- This draft must pass human review before any leadership or client release.
- The brief requires separate final reports from approved facts.
- Unavailable outcomes should not be presented as zero, missing performance, or implied causation.
---
# 5. Reproducible Calculation for the Main Signal
## 5.1 Mobile quiz completion decline
From the reconciled CSV, mobile rows summed by week:
**Week 1 mobile:**
```text
quiz_starts = 8,400
quiz_completions = 3,780
completion rate = 3,780 / 8,400 = 0.45 = 45.0%
```
**Week 2 mobile:**
```text
quiz_starts = 8,400
quiz_completions = 2,360
completion rate = 2,360 / 8,400 = 0.28095 = 28.1%
```
Percentage-point change:
```text
28.1% − 45.0% = −16.9 pp
```
Using unrounded figures from the brief’s calibration:
```text
45% → 28% = −17 percentage points
Relative change = (0.28 − 0.45) / 0.45 = −0.3778 = −37.8%
```
**Arithmetic uncertainty note:** The CSV sums here are derived from repeated daily counts, not a code-computed aggregation. The final reviewed draft should confirm:
- exact duplicate row ID removed;
- alias normalization count;
- any zero-denominator stratum left as unavailable;
- exact mobile totals after duplicate removal.
## 5.2 Fixed-mix mobile check
Using equal Week 1 mobile start weights for the 12 listed strata:
```text
Week 1 stratum rates:
54, 58, 25, 29, 58, 62, 28, 32, 62, 66, 31, 35 %
Week 1 fixed-mix:
(54 + 58 + 25 + 29 + 58 + 62 + 28 + 32 + 62 + 66 + 31 + 35) / 12
= 540 / 12
= 45.0%
```
Week 2 stratum rates:
```text
44, 48, 17.3, 20.0, 48, 52, 19.3, 22.0, 52, 56, 21.3, 24.0 %
```
Week 2 fixed-mix:
```text
(44 + 48 + 17.3 + 20.0 + 48 + 52 + 19.3 + 22.0 + 52 + 56 + 21.3 + 24.0) / 12
= 424.0 / 12
= 35.3% to 35.5% depending on decimal retention
```
The observed Week 2 mobile rate was **28.1%**, while the Week 1-weighted fixed-mix was about **35.3%–35.5%**. Both are far below the Week 1 fixed-mix of **45.0%**, confirming the decline is mainly within strata rather than composition-driven.
---
# Final consistency note
These three deliverables use the same facts:
- Mobile completion: **45% → 28%**.
- Aggregate completion: **45.0% → 38.3%**.
- New customers: **548 → 482**.
- Attributed first-purchase revenue: **$43,840 → $38,560**.
- Media CPA: **$200.91 → $228.42**.
- First-order ROAS: **0.40 → 0.35**.
- Desktop did not collapse; mobile did.
- No budget or creative winner is justified yet.
- Diagnostic first, then a narrow test.| Bukti | Draf AI asli | Diperiksa terhadap CSV |
|---|---|---|
| Pengeluaran media mingguan | $110,100 di setiap minggu | Minggu 1: $5,462 · Minggu 2: $5,512 |
| Penyelesaian mobile dan campuran audiens | 45% → 28%; mengabaikan campuran audiens sebagai penjelasan | 3,780 / 8,400 → 2,352 / 8,400. Minggu 2 pada campuran Minggu 1: 35.33%. |
Catatan produk/dukungan fiktif menyebut perubahan kuis seluler. Peluncuran dan dampaknya belum terverifikasi.
Buka hasil kerjanya
Fakta sama. Tiga keputusan.
Draf editorial telah diperiksa · menunggu persetujuan manusia untuk dirilis
Laporan pendiriTentukan prioritas peluncuran.
GreenLeaf UK — Ringkasan Pendiri / CEO
Draf editorial yang ditinjau; rilis oleh manusia masih menunggu. Kohor klik berbayar fiktif September 1–14, 2026, diamati hingga September 22. USD. Ini juga merupakan pandangan kepemimpinan untuk CMO internal.
Apa yang terjadi
Penyelesaian kuis mobile berbayar turun dari 45% menjadi 28%, penurunan 17 poin persentase. Hitungan yang diperiksa adalah 3,780/8,400 → 2,352/8,400. Penyelesaian desktop adalah 45.03% → 46.25%.
Di seluruh kohor berbayar yang disediakan, pelanggan pembelian pertama yang diatribusikan adalah 467 → 357 dan pendapatan pembelian pertama yang diatribusikan adalah $37,360 → $28,560. Ini adalah hasil atribusi terkonstruksi, bukan bukti langganan inkremental atau pendapatan yang hilang karena kuis.
Mengapa ini penting
Kuis adalah langkah pertimbangan dalam peluncuran UK. Baik pergeseran ke arah kelompok audiens dengan penyelesaian lebih rendah maupun penurunan di dalam kelompok mobile yang sebanding berkontribusi pada pergerakan agregat. Menahan campuran Minggu 1 tetap memberikan 35.33% untuk Minggu 2, jadi campuran saja tidak menjelaskan penurunan tersebut.
Pemilik produk melaporkan revisi penyajian mobile dan dukungan melaporkan masalah kegunaan. Tak satu pun terhubung ke kohor terukur oleh bukti yang disediakan. Penyebab produk tetap tidak terbukti.
Apa yang terjadi selanjutnya
- Pemilik produk + pemimpin media: verifikasi perjalanan mobile, definisi peristiwa, dan bukti rilis/versi. Ketersediaan yang dilaporkan untuk pemeriksaan hari kerja berikutnya adalah asumsi skenario, bukan tindakan yang selesai. Kembali dengan rencana perbandingan atau pernyataan bukti-hilang yang eksplisit.
- Pemilik pemasaran: jangan menyetujui perpindahan anggaran atau perubahan kreatif hanya dari CSV ini. Keputusan komersial/risiko yang ada tetap diatur oleh otoritas normalnya; ini bukan pembekuan menyeluruh.
- Pemilik keuangan/pengukuran: rekonsiliasi definisi pendapatan September penuh bisnis dan hasil semua kanal sebelum menyatakan target $60K/bulan tercapai atau tidak. Pendapatan kohor dan ukuran akuntansi/bisnis bulanan memerlukan rekonsiliasi setara yang eksplisit.
CAC penuh, laba, kesadaran, nilai seumur hidup yang terealisasi, dan inkrementalitas tetap tidak tersedia.
Sumber: paket metrik yang diperiksa, keputusan tinjauan. Draf AI asli dipertahankan terpisah; angkanya bukan sumber kebenaran laporan ini.
Laporan mediaPilih penyelidikan berikutnya.
GreenLeaf UK — Analisis tim media
Draf editorial yang ditinjau; rilis oleh manusia masih menunggu. Kohor klik berbayar UK fiktif; Minggu 1 = September 1–7, Minggu 2 = September 8–14, 2026. Jendela pengamatan tujuh hari, snapshot September 22.
Apa yang terjadi
| Semua kohor berbayar yang disediakan | Minggu 1 | Minggu 2 |
|---|---|---|
| Belanja, USD | $5,462 | $5,512 |
| Mulai kuis | 15,040 | 15,120 |
| Penyelesaian kuis | 6,770 | 5,460 |
| Pelanggan pembelian pertama yang diatribusikan | 467 | 357 |
| Pendapatan pembelian pertama yang diatribusikan | $37,360 | $28,560 |
| CPA media | $11.70 | $15.44 |
| ROAS pesanan pertama yang diatribusikan | 6.84 | 5.18 |
CPA media hanya mencakup biaya media; jangan bandingkan secara langsung dengan batas pengaman CAC penuh kursus sebesar $312. ROAS adalah pendapatan pesanan pertama yang diatribusikan dibagi belanja media, bukan laba atau lift kausal.
| Kanal | Belanja M1 | Belanja M2 | Pelanggan M1 | Pelanggan M2 | Pendapatan M1 | Pendapatan M2 |
|---|---|---|---|---|---|---|
| Google Search | $1,736 | $1,744 | 154 | 105 | $12,320 | $8,400 |
| $2,296 | $2,304 | 154 | 119 | $12,320 | $9,520 | |
| Reddit berbayar | $1,430 | $1,464 | 159 | 133 | $12,720 | $10,640 |
Tidak ada anggaran media bulanan yang disetujui yang disediakan, sehingga ritme anggaran tidak dapat dinilai.
Mengapa perbandingan mobile memerlukan pemeriksaan campuran
Penyelesaian mobile: 3,780/8,400 = 45% → 2,352/8,400 = 28%. Perubahannya adalah −17 poin persentase, kira-kira −37.8% relatif. Desktop adalah 2,990/6,640 = 45.03% → 3,108/6,720 = 46.25%.
Mulai skeptis mobile turun dari 4,200 menjadi 2,100; mulai eksplorasi naik dari 4,200 menjadi 6,300. Pangsa mereka berubah dari 50%/50% menjadi 25%/75%. Ini adalah kelompok terkonstruksi, bukan preferensi pelanggan yang tervalidasi atau perlakuan acak.
Masing-masing dari 12 strata mobile kanal × audiens × kreatif memiliki 700 mulai Minggu 1. Gunakan bobot 700/8,400 = 1/12 dan kalikan dengan tingkat penyelesaian Minggu 2 strata tersebut. Jumlahkan tingkat berbobot: 35.33%, pertahankan presisi penuh sebelum tampilan. Lihat paket metrik untuk setiap sel.
Dalam dekomposisi berbobot Minggu 1 ini, komponen dalam-kelompok adalah −9.67 poin dan komponen komposisi adalah −7.33 poin. Alokasi bergantung pada dasar/urutan yang dipilih; tidak ada angka yang merupakan efek kausal. Semua 12 strata menurun, tetapi CSV tidak dapat menjelaskan alasannya.
Apa yang terjadi selanjutnya
- Pemimpin media: verifikasi definisi peristiwa dan penandaan sumber/kohor; pertahankan aturan kematangan yang sama.
- Pemilik produk + pemimpin media: minta penetapan rilis/versi dan reproduksi alur mobile. Bandingkan versi di mana penetapan dapat direkonstruksi. Log yang hilang membatasi apa yang dapat disimpulkan.
- Peninjau pengukuran: periksa perhitungan, konteks, dan keputusan sebelum dirilis ke pemangku kepentingan. Jangan menyimpulkan penyebab produk, merekomendasikan perpindahan anggaran yang tepat, atau memperlakukan pemulihan ke target sebagai desain uji yang valid dengan sendirinya.
Revisi penyajian mobile yang dilaporkan dan kekhawatiran dukungan memprioritaskan pemeriksaan ini. Keduanya tidak membuktikan cacat, prevalensi, atau kerugian inkremental. Tidak ada tindakan eksternal atau pengiriman yang terjadi.
Sumber: kamus, paket metrik yang diperiksa, tinjauan.
Laporan konten dan kreatifPeriksa pesan dan pengalaman.
GreenLeaf UK — Brief konten & kreatif
Draf editorial yang ditinjau; rilis oleh manusia masih menunggu. Kohor klik berbayar fiktif September 1–14, diamati hingga September 22, 2026. Hipotesis pesan bukan klaim iklan yang disetujui.
Apa yang terjadi
Kedua kelompok pesan memiliki penyelesaian kuis agregat yang lebih lemah:
| Hipotesis pesan | Minggu 1 penyelesaian / mulai | Minggu 2 penyelesaian / mulai |
|---|---|---|
| Ketertelusuran: “Know what is in every serving” (Ketahui kandungan dalam setiap sajian) | 3,276 / 7,560 = 43.33% | 2,625 / 7,560 = 34.72% |
| Nilai: “Compare the value of a clearly dosed serving” (Bandingkan nilai setiap sajian dengan dosis yang jelas) | 3,494 / 7,480 = 46.71% | 2,835 / 7,560 = 37.50% |
Total ini menggabungkan perangkat, audiens, dan kanal. Ini bukan uji kreatif kausal yang setara. Tingkat agregat yang lebih tinggi pada pesan nilai tidak menetapkannya sebagai pemenang.
Mengapa ini penting
Hipotesis pelanggan menekankan informasi bahan yang jelas. Revisi penyajian mobile yang dilaporkan menambahkan panel informasi yang dapat diperluas dan mengubah label langkah berikutnya. Umpan balik dukungan yang belum dikaitkan dengan kohor berbayar menyebutkan kesulitan menemukan kontrol berikutnya. Masuk akal untuk memeriksa pengalaman pasca-klik; tidak masuk akal untuk menyebut pesan, panel, atau label sebagai penyebab dari file-file ini.
Apa yang terjadi selanjutnya
Pertanyaan yang diusulkan: setelah makna peristiwa dan perilaku perjalanan diverifikasi, apakah halaman membuat janji pesan jelas sambil mempertahankan langkah berikutnya yang dapat dipahami?
Pemimpin konten: periksa serah terima iklan-ke-halaman dengan pemilik produk. Pertahankan ketertelusuran dan nilai sebagai hipotesis eksplisit. Konfirmasi bahwa setiap pernyataan bahan/dosis memiliki pembuktian.
Pemilik produk/pengukuran: tentukan apakah penetapan versi dan kohor sebanding dapat mendukung uji terfokus. Tetapkan penyebut, perbandingan, dan aturan keputusan sebelum menjalankannya. Jika penetapan atau pelacakan tidak ada, dokumentasikan batas itu; pemulihan sebelum/sesudah bukan bukti kausal.
Tidak ada penghentian kreatif, klaim hook pemenang, atau rekomendasi anggaran media yang didukung di sini. CSV tidak mengandung bukti penayangan/pemutaran ulang, sehingga tidak menetapkan kelelahan, prevalensi kebingungan, atau di layar mana pengguna berhenti.
Sumber: paket metrik yang diperiksa, keputusan tinjauan, brief v2.
Pustaka bukti
Penalaran lengkap, brief, dan bukti sumber.
Langkah 1 — Kodifikasi kerangka pelaporan
Brief lengkap v1 memberi model kerangka kerja sebelum menyusun apa pun:
- KPI dan target: hierarki di atas, penyebut, dan hasil yang tidak tersedia.
- Peta pemangku kepentingan: keputusan yang didukung setiap laporan dan siapa yang dapat menyetujui tindakan.
- Lapisan konteks: ekspansi Inggris, hipotesis persona, waktu, dan riwayat institusional yang secara eksplisit hilang.
- Tolok ukur dan dimensi: target 45%; potongan saluran, perangkat, audiens, kreatif, dan funnel; aturan perbandingan dan validasi.
- Irama: diagnosis mingguan, narasi bisnis bulanan, dan reset perencanaan kuartalan.
Brief membawa apa yang sudah diketahui. Rilis produk, QA mobile, umpan balik dukungan, dan sensitivitas klien sebelumnya tidak diketahui dalam input v1 yang disediakan, dengan tindak lanjut ditugaskan kepada pemiliknya. Tidak diketahui tidak berarti tidak ada yang berubah. Itu berarti tim pelapor harus bertanya.
Untuk setiap laporan, instruksinya adalah APA yang terjadi → MENGAPA itu penting → APA BERIKUTNYA. Pendiri harus memutuskan apakah prioritas peluncuran perlu perhatian; media harus memilih penyelidikan berikutnya; kreatif harus memutuskan bukti apa yang diperlukan sebelum mengubah pesan atau pengalaman. Rekomendasi memerlukan pemilik dan batas rilis.
Periksa bukti pendukung
Kamus mendefinisikan bidang dan asumsi. Peta sumber memisahkan fakta dan target kursus dari pilihan rekonstruksi. Tidak ada CSV pelaporan GreenLeaf yang mendasari yang dipulihkan dari kursus.
Ekspor mentah memiliki 337 baris, termasuk satu duplikat persis; dataset yang direkonsiliasi memiliki 336. Ini mencakup tiga saluran berbayar, dua perangkat, dua audiens, dan dua kategori kreatif selama empat belas hari. Alias kampanye yang dinyatakan dinormalisasi. Satu baris desktop tanpa aktivitas memeriksa bahwa penyebut nol menjadi tidak tersedia, bukan kinerja nol. Pembersihan sumber dicatat dalam log masalah.
Uang menggunakan sen USD bilangan bulat. Setiap pelanggan baru sintetis diatribusikan sekali ke klik berbayar terakhir yang memenuhi syarat dalam tujuh hari. Pendapatan pembelian pertama dibangun sebesar $80 per pelanggan, setelah diskon dan tidak termasuk pajak/pengiriman, tanpa pengembalian dana fixture. Ini adalah asumsi yang diungkapkan, bukan atribusi yang diverifikasi secara independen, harga kursus, atau LTV yang terealisasi. Paket perhitungan yang diperiksa menyediakan nilai referensi yang dapat direproduksi.
Langkah 2 — Minta AI untuk tiga draf dari input yang sama
Prompt yang dikirimkan yang sebenarnya meminta ringkasan pendiri, analisis media, dan brief kreatif dalam satu respons. Ini mencakup brief v1, kamus, CSV yang direkonsiliasi, dan pencarian kampanye/kreatif. Draf pertama tidak menerima catatan konteks kemudian atau paket perhitungan referensi.
Panggilan yang direkam menggunakan DeepSeek V4 Pro pada Oktober 29, 2026. Invokasi ini hanya teks, dengan tanpa alat eksekusi kode. Metadata proses mencatat model aktual, stempel waktu, dan hash input. Respons asli tetap tidak diedit, termasuk kesalahannya.
Draf tersebut menyediakan tiga bagian yang diminta dan merekomendasikan rekonsiliasi peristiwa/versi dan QA mobile. Draf itu juga menyajikan perhitungan yang tidak diverifikasi sebagai angka laporan. Angka-angka itu secara material mengubah cara bisnis terlihat:
| Item | Draf awal | Diperiksa terhadap data yang direkonsiliasi |
|---|---|---|
| Pengeluaran media mingguan | $110,100 di setiap minggu | $5,462 di Minggu 1; $5,512 di Minggu 2. |
| Pendapatan pembelian pertama yang diatribusikan | $43,840 → $38,560 | $37,360 → $28,560. |
| Penyelesaian mobile Minggu 2 | 2,360 | 2,352; 28% dari 8,400 mulai. |
| Komposisi audiens | Dideskripsikan stabil / pada dasarnya tidak ada sebagai penjelasan | Pangsa mulai mobile skeptical berubah dari 50% menjadi 25%; exploring berubah dari 50% menjadi 75%. |
Ini adalah temuan tentang respons yang direkam ini dalam kondisi invokasi ini. Ini tidak menetapkan kinerja semua model, alur kerja berkemampuan alat, atau analis. Pola sintetis ditulis sebelum proses; ini bukan anomali klien yang ditemukan.
Ajukan pertanyaan yang mengubah interpretasi
Pertukaran tindak lanjut yang terfokus meminta penghitungan stratum dan bobot Minggu 1. Ini bergerak menuju pengakuan komposisi, tetapi masih mengandung ketidaksesuaian aritmetika. Respons asli dan tindak lanjut keduanya disimpan. Koreksi parsial tidak memvalidasi klaim yang tersisa; jawaban kedua yang masuk akal bukanlah verifikasi independen.
Perbandingan yang diperiksa adalah:
| Perbandingan mobile | Tingkat penyelesaian |
|---|---|
| Minggu 1 teramati | 45.00% |
| Minggu 2 menggunakan bobot mulai saluran × audiens × kreatif Minggu 1 | 35.33% |
| Minggu 2 teramati | 28.00% |
Ada dua belas stratum mobile, masing-masing menyumbang 700 mulai Minggu 1, sehingga setiap bobot dasar adalah 1/12. Menahan bobot itu tetap menghasilkan penurunan sekitar 9.67 poin persentase. Tingkat Minggu 2 yang teramati adalah 7.33 poin lebih rendah lagi dari perbandingan campuran tetap itu. Di bawah dekomposisi yang dinyatakan ini, pergerakan komposisi dan tingkat dalam stratum keduanya berkontribusi pada penurunan 17 poin.
Itu mengubah urutan kerja diagnostik: rekonsiliasi bagaimana pangsa audiens berubah dan periksa perjalanan mobile serta definisi peristiwa. Ini tidak mengidentifikasi penyebab pergerakan mana pun. Perhitungan campuran tetap adalah metode perbandingan, bukan eksperimen kausal.
Langkah 3 — Tambahkan konteks dan nilai keputusannya
Kursus menempatkan penilaian manusia di sini: seseorang dengan kompetensi pengukuran dan konteks bisnis terkini memutuskan apakah akan mengonfirmasi, merevisi, menunda, atau menolak rekomendasi draf. Koreksi aritmetika saja tidak cukup; peninjau juga harus menilai tindakan yang diusulkan.
Dalam paket bukti ini, perhitungan dan pemeriksaan editorial berbantuan AI telah dilakukan. Keputusan rilis pemilik/manusia yang nyata tetap tertunda. Agen yang menyiapkan contoh ini bukanlah peninjau manusia, dan penetapan peran fiktif bukanlah persetujuan nyata.
Catatan konteks tambahan ditulis dan dicatat hash-nya sebelum proses awal. Dalam urutan fiktif, tindak lanjut produk/dukungan menyediakan informasi yang tidak dimiliki tim pelapor pada v1:
- Pemilik produk melaporkan revisi presentasi kuis khusus mobile yang dimulai September 8 pukul 09:00 UTC: panel informasi bahan yang ditambahkan dan label langkah berikutnya yang diubah.
- Dukungan melaporkan kesulitan menemukan kontrol langkah berikutnya di ponsel, tanpa jumlah tiket, tanggal, atau kaitan ke kohor berbayar.
- Produk dapat menetapkan pemeriksaan reproduksi dan verifikasi peristiwa pada hari kerja berikutnya; catatan penerapan, peluncuran, dan penetapan versi masih hilang.
Ini adalah konteks fiktif yang dilaporkan, bukan log rilis terverifikasi atau bukti bahwa revisi menyebabkan pengabaian. Waktu dan cakupan perangkatnya membuatnya layak diselidiki. Pemeriksaan campuran audiens tetap diperlukan.
Keputusan tinjauan yang diusulkan adalah mempertahankan penyelidikan diagnostik, mengoreksi bukti finansial dan kohor, dan membuat permintaan produk/pengukuran menjadi spesifik. Mintalah produk untuk bukti peluncuran/versi dan reproduksi mobile; mintalah media untuk merekonsiliasi penetapan audiens dan penangkapan peristiwa. Tunda penjelasan kausal, pemenang kreatif, dan pergerakan anggaran yang tepat. Jika draf awal sudah merekomendasikan pekerjaan diagnostik yang masuk akal, bagian itu dapat tetap tidak berubah.
Catatan tinjauan, brief v2 dan perubahan brief menyimpan keputusan yang diusulkan dan buktinya. Pembelajaran yang dibawa ke brief berikutnya tepat: rilisnya dilaporkan, menunggu verifikasi; tingkat 45% → 28% dan perbandingan campuran tetap adalah temuan data yang diperiksa; penyelidikan berikutnya adalah keputusan yang diusulkan. Memisahkan kategori-kategori itu mencegah penjelasan yang masuk akal menjadi fakta yang tidak dipertanyakan dalam prompt mendatang.
Langkah 4 — Produksi laporan yang dapat digunakan dan rutekan tindakan berikutnya
Langkah produksi mengubah bukti yang diperiksa dan keputusan tinjauan yang didokumentasikan menjadi tiga deliverable yang konsisten: laporan pendiri, laporan media dan laporan konten. Sampai rilis manusia, ini adalah draf editorial untuk contoh, bukan instruksi klien yang disetujui.
| Laporan | Temuan berguna dalam bentuk APA / MENGAPA / BERIKUTNYA |
|---|---|
| Ringkasan pendiri | APA: penyelesaian mobile berbayar turun 17 poin sementara pendapatan pembelian pertama yang diatribusikan turun dari $37,360 menjadi $28,560. MENGAPA: pertimbangan dan output pesanan pertama perlu perhatian, tetapi dua minggu kohor berbayar tidak dapat menentukan pendapatan atau laba bulanan. BERIKUTNYA: pertimbangkan pekerjaan diagnostik yang disebutkan dan dapatkan rekonsiliasi sebulan penuh sebelum keputusan komersial. |
| Analisis media | APA: mobile Minggu 2 adalah 28% teramati dan 35.33% pada campuran Minggu 1. MENGAPA: komposisi dan pergerakan dalam stratum sama-sama penting. BERIKUTNYA: rekonsiliasi definisi audiens/versi/peristiwa dan selidiki perjalanan mobile bersama produk. |
| Brief konten & kreatif | APA: dataset berisi dua kategori pesan ilustratif, sementara perubahan presentasi mobile dilaporkan. MENGAPA: bukti saat ini tidak dapat mengisolasi kegagalan pesan atau menetapkan pemenang kreatif. BERIKUTNYA: verifikasi kondisi perjalanan dan pelacakan sebelum merancang uji pesan/pasca-klik yang terkontrol. |
Catatan produksi mencakup peringatan retrospektif terbatas mengikuti Deteksi → Analisis → Rute → Tinjau. Aturannya adalah penyelesaian mingguan mobile berbayar yang matang di bawah 45%, dengan penyebut mulai bukan nol. Minggu 2 memenuhinya pada 28%. Analisis melampirkan jendela kohor, snapshot, dan perbandingan campuran tetap; perutean menugaskan tindak lanjut media dan produk; manusia memutuskan apakah rekomendasi kepemimpinan/klien dapat dirilis.
Kohor tujuh hari penuh Minggu 2 tidak dapat dinilai pada aturan kematangan ini sebelum jendela pengamatannya ditutup, pada akhir September 21 UTC. Paket ini menggunakan snapshot September 22. Tidak ada peringatan langsung, pengiriman pesan, perubahan kampanye otonom, atau kerugian yang dicegah yang didemonstrasikan. Diagnosis mingguan kemudian menjadi masukan pelaporan bisnis bulanan dan reset asumsi kuartalan.
Ulangi contohnya, lalu adaptasikan
Mulailah dengan tiga file: brief, kamus dan CSV yang direkonsiliasi. Baca brief terlebih dahulu; CSV hanya masuk akal setelah keputusan, jendela, dan penyebut jelas. Kemudian periksa prompt aktual, respons asli, perhitungan yang diperiksa, dan catatan konteks untuk mengikuti apa yang berubah dan mengapa.
Gunakan model dan akun yang disetujui organisasi Anda. Bagikan hanya data yang diizinkan oleh perjanjian klien, organisasi, dan penyedia; hapus kolom yang berisi informasi rahasia, sensitif, dan pribadi, dan gunakan data sintetis atau data agregat yang telah disetujui jika memungkinkan. Jangan unggah ekspor data klien tanpa izin.
Untuk pekerjaan Anda sendiri, ganti tujuan bisnis, pemangku kepentingan, aturan atribusi, dan konteks sebelum mengganti data klien. Rekonsiliasi total dan satu stratum representatif secara independen. Simpan respons mentah, catat apa yang diputuskan peninjau, dan bawa pembelajaran terverifikasi ke brief berikutnya. Hentikan perbandingan ketika kematangan, cakupan sumber, atau definisi tidak cocok; hentikan rilis ketika aritmetika material, bukti, atau otoritas keputusan tetap tidak terselesaikan. Bukti kesadaran, LTV, atau inkrementalitas yang hilang tetap tidak tersedia.
Jalur ini memberikan penalaran dan bukti berguna dari contoh pelaporan daripada menahan jawabannya. Kursus berbayar menyediakan urutan pengajaran video lengkap, koleksi template yang dapat digunakan ulang secara lengkap, panduan mendalam, dan materi implementasi yang lebih luas. Contoh kerja menunjukkan satu jalur terhubung dari hipotesis pelanggan ke keputusan pelaporan; ini tidak menyiratkan tujuh alur kerja publik yang selesai atau mengubah akses kursus dan hak pembeli.
Periksa dokumen kerja
Kamus data
Kamus data pelaporan GreenLeaf — kontrak semantik v1
Ditulis: 2026-10-29 · Status: spesifikasi sumber beku sebelum pembuatan fixture; masukan editorial bahasa Inggris. CSV adalah rekonstruksi sintetis baru, bukan data kursus yang dipulihkan. Ringkasan mengatur keputusan; peta sumber mengatur asal. Tidak ada pelanggan nyata, informasi kesehatan, atau akun klien yang disertakan.
Grain, jendela, dan atribusi
Satu baris kanonik adalah satu tanggal klik berbayar UTC × saluran × perangkat × audiens × kreatif, di Inggris. Empat belas tanggal × tiga saluran × dua perangkat × dua audiens × dua kreatif = 336 baris. Ekspor mentah memiliki 337 baris, termasuk satu duplikat persis. Kampanye termasuk dalam saluran dan tidak menambah dimensi.
Minggu 1: 2026-09-01–2026-09-07 inklusif. Minggu 2: 2026-09-08–2026-09-14 inklusif. Snapshot: 2026-09-22T23:59:59Z. Hari adalah UTC dan date selalu berarti tanggal kohor klik berbayar, bukan tanggal pembelian/peristiwa. Peristiwa corong dan pembelian pertama diamati selama tujuh hari setelah klik berbayar yang memenuhi syarat. Stempel waktu peristiwa yang tepat tidak diekspor; jendela atribusi/pengamatan tujuh hari adalah asumsi konstruksi generator. Kedua periode lengkap telah matang pada snapshot. Semua baris utama yang diterbitkan memiliki is_provisional=false.
Belanja, tayangan, dan klik menggambarkan aktivitas akuisisi yang ditetapkan ke tanggal kohor tersebut. Jumlah halaman arahan, kuis, dan pembelian mengikuti kohor klik berbayar yang diberi tag sumber dan keranjang perangkat/audiens/kreatif. Setiap pelanggan pembelian pertama sintetis dan jumlah pendapatan ditetapkan sekali, ke klik berbayar terakhir yang memenuhi syarat dalam tujuh hari; semua tahap peristiwa mengikuti penetapan eksklusif yang sama ini. Rekonsiliasi identitas lintas perangkat tidak diukur. Eksklusivitas dijamin oleh konstruksi, bukan ditetapkan secara independen oleh file agregat ini.
Bidang
| Bidang | Jenis / satuan | Makna dan validasi |
|---|---|---|
row_id | string tidak kosong | ID baris kanonik unik yang stabil. Duplikat persis mentah mengulanginya; baris yang bertentangan dengan ID yang sama adalah kesalahan. |
date | ISO YYYY-MM-DD | Tanggal kohor klik berbayar sumber UTC, dalam September 1–14. |
market | enum | UK saja; cakupan adalah kohor berbayar dalam peluncuran Inggris fiktif. |
channel | enum | google-search, linkedin, reddit-paid. Aktivitas Reddit organik dikecualikan. |
campaign_id | enum setelah normalisasi | Satu kampanye per saluran; pencarian di bawah. |
device | enum | mobile atau desktop, perangkat dari klik berbayar sumber yang ditetapkan. |
audience_id | enum | skeptical atau exploring; keranjang yang dibangun saling eksklusif dalam saluran, bukan sifat pelanggan yang tervalidasi. |
creative_id | enum | traceability atau value; hipotesis pesan dengan format spesifik saluran, pencarian di bawah. |
spend_cents | integer nonnegatif sen USD | Biaya media saja. Tidak ada biaya agensi, kreatif, perangkat, gaji, atau biaya akuisisi lainnya. |
impressions | integer nonnegatif | Tayangan iklan akuisisi dalam keranjang; bukan orang unik atau frekuensi. |
clicks | integer nonnegatif | Klik berbayar yang ditetapkan ke keranjang ini; bukan pengunjung unik. |
landing_sessions | integer nonnegatif | Sesi halaman arahan ber-tag sumber yang diamati dalam tujuh hari setelah klik berbayar yang memenuhi syarat. Paling banyak satu sesi yang dipertahankan per perjalanan corong sintetis. |
quiz_starts | integer nonnegatif | Perjalanan kuis ber-tag sumber yang dipertahankan dan berbeda yang dimulai dalam jendela tujuh hari yang sama; satu permulaan yang dipertahankan per perjalanan. Penyebut tingkat penyelesaian. |
quiz_completions | integer nonnegatif | Perjalanan kuis yang dipertahankan yang diselesaikan dalam jendela tujuh hari yang sama; tidak ada penghitungan penyelesaian berulang. |
attributed_new_customers | integer nonnegatif | Pelanggan pembelian pertama yang menyelesaikan corong berbasis kuis yang dibangun ini dalam tujuh hari, ditetapkan sekali oleh aturan klik berbayar terakhir yang dinyatakan. Bukan pelanggan baru seluruh situs. |
attributed_first_purchase_revenue_cents | integer nonnegatif sen USD | Pendapatan pembelian pertama dari pelanggan tersebut, setelah diskon, tidak termasuk pajak dan pengiriman. Tidak ada pengembalian dana dalam fixture ini; tidak ada pendapatan perpanjangan. Generator menetapkan USD $80 (8,000 sen) per pelanggan pembelian pertama untuk kejelasan aritmetika; ini adalah asumsi rekonstruksi, bukan harga kursus atau LTV. |
is_provisional | boolean | false berarti jendela pengamatan tujuh hari baris ini matang pada snapshot yang dinyatakan. Tolak paksaan string/boolean yang tidak didukung. |
Ketidaksetaraan per baris: impressions >= clicks >= landing_sessions >= quiz_starts >= quiz_completions >= attributed_new_customers. Ini adalah konstruksi corong berbasis kuis yang disederhanakan dan eksplisit, bukan properti universal dari ekspor iklan. Baris dengan nol pelanggan harus memiliki nol pendapatan pembelian pertama; jumlah pelanggan positif harus memiliki pendapatan positif. Batasan ini tidak menyediakan bukti tingkat orang.
Pencarian kanonik dan pembersihan mentah
| Saluran | ID kampanye kanonik | Nama tampilan | Alias ID kampanye mentah yang diizinkan |
|---|---|---|---|
google-search | gl-uk-google-search | GreenLeaf UK Search | gl_uk_search → gl-uk-google-search |
linkedin | gl-uk-linkedin | GreenLeaf UK LinkedIn | Tidak ada |
reddit-paid | gl-uk-reddit-paid | GreenLeaf UK Reddit paid | Tidak ada |
Audiens skeptical: keranjang yang dibangun untuk pembeli yang mencari bukti yang membandingkan bukti sumber/dosis; terinspirasi oleh persona Oliver yang tidak tervalidasi. Audiens exploring: keranjang yang dibangun untuk pembeli yang menjelajahi kategori dan mempertimbangkan nilai. Keduanya bukan spesifikasi penargetan nyata maupun penetapan perlakuan teracak; tidak ada identitas, profesi, atau kondisi kesehatan yang disimpulkan.
Kreatif traceability: pesan ilustratif “Know what is in every serving” (Ketahui kandungan dalam setiap sajian). Kreatif value: pesan ilustratif “Compare the value of a clearly dosed serving” (Bandingkan nilai setiap sajian dengan dosis yang jelas). Untuk Google Search ini adalah hipotesis pesan iklan teks; untuk LinkedIn, hipotesis salinan umpan bersponsor; untuk Reddit paid, hipotesis salinan postingan yang dipromosikan. ID kreatif adalah kategori pesan bersama dalam setiap saluran, bukan aset iklan jadi yang identik atau klaim yang disetujui. Tidak ada bukti kemanjuran atau sertifikasi produk aktual yang disediakan.
Hapus hanya duplikat persis byte-per-byte/bidang-setara, catat ID baris sumbernya. Normalisasi hanya alias yang dinyatakan dan catat jumlahnya. ID yang tidak diketahui, pasar yang tidak terduga, bidang yang hilang, tanggal yang salah format, sen/jumlah noninteger, nilai negatif, duplikat yang bertentangan, atau corong yang mustahil harus gagal validasi alih-alih diperbaiki secara diam-diam. Pertahankan baris penyebut nol yang didokumentasikan untuk memverifikasi penanganan rasio-tidak-tersedia. Rekonsiliasi jumlah mentah/kanonik dan semua total dimensi. Catatan pembuatan fixture harus mengidentifikasi duplikat persis, baris alias, dan baris penyebut nol; kamus ini tidak berpura-pura bahwa baris-baris tersebut sudah ada.
Aturan metrik dan perbandingan
Gunakan jumlah dalam kohor/dimensi yang dipilih, lalu bagi; jangan pernah merata-ratakan tingkat baris. Pertahankan presisi antara penuh. Tampilkan USD dengan membagi sen dengan 100 hanya pada presentasi. Penyebut nol menghasilkan tidak tersedia, bukan nol/tak terhingga; perubahan persen terhadap nilai sebelumnya nol adalah tidak tersedia. Angka yang dikutip dari bukti sumber bahasa Inggris mempertahankan konvensi sumber: koma sebagai pemisah ribuan dan titik sebagai tanda desimal; semua nilai uang dalam USD.
| Metrik | Definisi | Interpretasi |
|---|---|---|
| Tingkat penyelesaian kuis | sum(quiz_completions) / sum(quiz_starts) | KPI corong utama; seluler berbayar Minggu 1/2 harus dikalibrasi ke 45%/28%. |
| Tingkat klik-ke-permulaan | sum(quiz_starts) / sum(clicks) | Diagnostik; berbeda dari penyelesaian kuis. |
| Tingkat klik-ke-halaman arahan | sum(landing_sessions) / sum(clicks) | Diagnostik, bukan tingkat pentalan terverifikasi. |
| Tingkat penyelesaian-ke-pembelian | sum(attributed_new_customers) / sum(quiz_completions) | Diagnostik corong berbasis kuis yang dibangun. |
| CTR | sum(clicks) / sum(impressions) | Metrik optimasi; bukan kesadaran. |
| CPC (USD) | sum(spend_cents) / sum(clicks) / 100 | Biaya media per klik. |
| CPM (USD) | sum(spend_cents) / sum(impressions) * 1000 / 100 | Biaya media per 1,000 tayangan. |
| CPA media (USD) | sum(spend_cents) / sum(attributed_new_customers) / 100 | Proxy media saja; bukan CAC penuh. |
| ROAS pesanan pertama yang diatribusikan | sum(attributed_first_purchase_revenue_cents) / sum(spend_cents) | Rasio pendapatan/belanja; bukan laba, inkrementalitas, atau LTV. |
| Pendapatan pembelian pertama (USD) | sum(attributed_first_purchase_revenue_cents) / 100 | Atribusi kohor berbayar saja; bukan vonis terhadap target bulan penuh $60K. |
Perubahan poin persentase suatu tingkat adalah (Week 2 rate - Week 1 rate) * 100. Perubahan relatif adalah (Week 2 rate / Week 1 rate - 1) * 100 saat Minggu 1 positif. 45% → 28% yang ditulis sama dengan −17 poin persentase dan sekitar −37.8% relatif; tidak ada hasil lain yang ditentukan sebelumnya oleh kontrak sumber ini.
Sebelum mendiagnosis pergerakan agregat seluler, stratifikasi seluler berdasarkan saluran × audiens × kreatif. Untuk stratum s, tetapkan bobot tetap w_s = Week 1 starts_s / Week 1 total starts. Bandingkan sum(w_s * Week 1 completion_rate_s) dengan sum(w_s * Week 2 completion_rate_s) dan bandingkan keduanya dengan tingkat yang diamati. Terbitkan bobot dan jumlah. Stratum berbobot positif tanpa tingkat Minggu 2 yang terdefinisi membuat perbandingan campuran tetap penuh tidak tersedia; perbandingan strata-umum yang dibatasi secara eksplisit harus mengungkapkan jumlah/bobot yang dikecualikan dan tidak dapat secara diam-diam menggantikan keseluruhan. Stratum berbobot nol berkontribusi nol dan tidak memerlukan tingkat. Campuran yang berubah dan pergerakan dalam stratum dapat hidup berdampingan. Tidak ada yang membuktikan sebab; kohor tidak teracak.
Snapshot yang tidak lengkap atau baris utama sementara membuat dua periode penuh tidak menentu/tidak dapat dibandingkan. Jangan perlakukan hasil yang tidak teramati sebagai nol. Perbandingan yang dipilih secara terpisah dengan cakupan matang yang identik harus menyatakan tanggal yang dipilih, pengecualian, dan pertanyaan yang diubah.
Bukti yang tidak tersedia dan konflik sumber
Tidak tersedia: CAC penuh, laba, retensi, LTV 12-bulan yang terealisasi, kesadaran, inkrementalitas, pendapatan semua saluran/bulan yang sebenarnya, frekuensi, pangsa tayangan, tingkat pentalan, log peristiwa/rilis, wawancara pelanggan, dan penjelasan kausal. 4.2% “quiz CVR” terpisah dari aset sumber tidak memiliki definisi penyebut bersama yang memadai di sini; jangan impor itu. Tidak ada estimasi kerugian, kelipatan segmen, instruksi anggaran, atau cerita kausal organik-ke-berbayar dari tangkapan layar yang merupakan hasil fixture turunan. Lihat peta sumber untuk fakta kursus versus asumsi yang baru ditulis.
Catatan tinjauan editorial
Apa yang berubah dalam tinjauan
Fiktif GreenLeaf UK, kohor klik berbayar September 1–14, 2026; snapshot September 22, 23:59:59 UTC. Catatan ini disiapkan dengan tinjauan editorial berbantuan AI dan perhitungan yang diperiksa secara independen. Ini bukan persetujuan manusia yang selesai, tinjauan klien, atau eksperimen terkontrol manusia-versus-AI. Keputusan publikasi/rilis pemilik masih menunggu. Respons model asli tidak berubah.
Keputusan sebelum perumusan kata
Draf pertama merekomendasikan diagnosis sebelum perubahan kreatif atau anggaran. Arah itu masuk akal, tetapi beberapa angka dan penjelasannya salah. Rekomendasi yang masuk akal tidak membuat bukti pendukungnya aman untuk dirilis.
| Pernyataan draf awal | Bukti yang diperiksa | Keputusan tinjauan |
|---|---|---|
| Belanja adalah $110,100 setiap minggu | Minggu 1: $5,462; Minggu 2: $5,512 | Tolak kedua total draf dan setiap CPA/ROAS turunan yang didasarkan padanya |
| Pelanggan baru adalah 548 → 482 | Hitungan kohor berbayar kanonik: 467 → 357 | Ganti; ini adalah pembelian pertama yang diatribusikan, bukan pelanggan inkremental |
| Pendapatan pembelian pertama adalah $43,840 → $38,560 | $37,360 → $28,560 | Ganti; tidak ada estimasi kerugian pendapatan kausal yang mengikuti |
| Mobile Minggu 2 memiliki 2,360 penyelesaian | 2,352 / 8,400 = 28% | Ganti hitungan/tingkat; pertahankan 3,780 / 8,400 = 45% Minggu 1 yang diperiksa |
| Pangsa audiens/kreatif mobile stabil dan komposisi pada dasarnya tidak ada | Pangsa skeptis dari mulai mobile: 50% → 25%; eksplorasi: 50% → 75% | Tolak penjelasan campuran |
| Campuran tetap Minggu 1 memberikan kira-kira 35.3%–35.5% | Tepat 35⅓% sebelum pembulatan tampilan | Gunakan 35.33%; nyatakan bahwa perubahan campuran dan dalam-kelompok sama-sama penting |
| Pendiri harus membekukan realokasi belanja | CSV saja tidak menetapkan apa yang seharusnya menjadi semua keputusan komersial/risiko | Sempitkan menjadi “do not recommend a budget move from this evidence alone” (jangan merekomendasikan perubahan anggaran hanya berdasarkan bukti ini); pertahankan proses risiko terotorisasi yang ada |
| Diagnosis berhasil jika penyelesaian kembali mendekati 45% | Kembali ke target bukan desain uji kausal | Wajibkan definisi peristiwa terverifikasi, bukti versi/kohor, dan rencana perbandingan eksplisit |
Semua tabel kanal, desktop, audiens, dan kreatif dalam respons mentah tetap tidak disetujui. Draf editorial akhir menggunakan paket metrik yang diperiksa. Invokasi model hanya teks, tanpa alat eksekusi perhitungan. Ini adalah bukti tentang proses ini, bukan setiap produk analisis AI.
Apa yang dilakukan tindak lanjut terfokus
Respons kedua mengenali pergeseran campuran audiens dan memberikan mulai Minggu 2 yang benar per stratum: skeptis 350, eksplorasi 1,050. Namun tetap melaporkan 2,360 total penyelesaian, salah menyatakan sel Reddit/eksplorasi/nilai sebagai 245 alih-alih 252, dan salah menghitung kontribusi berbobot. Gunakan tindak lanjut yang direkam untuk memeriksa iterasi; jangan diam-diam menggantikannya dengan matematika terverifikasi.
Fakta yang disetujui untuk draf produksi
| Ukuran | Minggu 1 | Minggu 2 |
|---|---|---|
| Belanja media semua berbayar | $5,462 | $5,512 |
| Mulai kuis semua berbayar | 15,040 | 15,120 |
| Penyelesaian kuis semua berbayar | 6,770 | 5,460 |
| Pelanggan pembelian pertama yang diatribusikan | 467 | 357 |
| Pendapatan pembelian pertama yang diatribusikan | $37,360 | $28,560 |
| CPA media | $11.70 | $15.44 |
| ROAS pesanan pertama yang diatribusikan | 6.84 | 5.18 |
| Mulai kuis mobile | 8,400 | 8,400 |
| Penyelesaian kuis mobile | 3,780 | 2,352 |
| Penyelesaian mobile | 45% | 28% |
| Penyelesaian desktop | 45.03% | 46.25% |
Perubahan mobile: −17 poin persentase; kira-kira −37.8% relatif. Bobot kanal × audiens × kreatif tetap Minggu 1 memberikan tingkat mobile Minggu 2 sebesar 35.33%. Di bawah dekomposisi bobot-dasar khusus ini, komponen dalam-kelompok adalah −9.67 poin dan komponen komposisi sisanya adalah −7.33 poin. Urutan dekomposisi lain dapat mengalokasikan interaksi secara berbeda; ini deskriptif, bukan atribusi kausal. Semua 12 strata mobile yang sebanding menurun.
Konteks fiktif baru dan efeknya
Catatan konteks ditulis sebelumnya dan di-hash sebelum proses. Catatan ini melaporkan revisi penyajian mobile mulai September 8 pukul 09:00 UTC dan keluhan yang dilaporkan tim dukungan dan belum dikaitkan dengan kohor berbayar tentang menemukan kontrol langkah berikutnya. Audit rilis, pangsa peluncuran, hitungan tiket, dan tautan ke kohor berbayar hilang.
Vonis: revisi penjelasan dan persempit tindakan berikutnya; konfirmasi arah diagnosis terlebih dahulu. Minta pemilik produk dan pemimpin media untuk memverifikasi perjalanan mobile dan definisi peristiwa, meminta bukti penetapan versi/rilis, dan membandingkan kelompok yang setara di mana bukti memungkinkan. Ketersediaan pemilik produk yang dilaporkan untuk pemeriksaan pada hari kerja berikutnya adalah konteks fiktif, bukan bukti bahwa pemeriksaan terjadi. Penyebab produk, kegagalan kreatif, atau kerugian pendapatan tetap tidak diketahui.
Bawa laporan revisi ke dalam brief v2 sebagai konteks yang dilaporkan menunggu verifikasi, jangan pernah sebagai penyebab yang terkonfirmasi. Tidak ada jeda otomatis, perubahan belanja, atau peringatan eksternal yang disetujui.
Instruksi untuk proses produksi
Pertahankan tabel yang disetujui, ketidakpastian, dan keputusan di atas di tiga draf:
- Pendiri/CEO: lintasan dan keputusan diagnosis, dengan maksimal tiga tindakan dan pemilik peran.
- Media: detail periode/kanal/perangkat, perbandingan campuran tetap, dan urutan kerja investigasi.
- Konten/kreatif: pisahkan hipotesis pesan dari bukti; periksa konteks pasca-klik sebelum mengusulkan uji pesan. Jangan menyajikan pemenang kreatif kausal atau merekomendasikan perubahan anggaran media.
Untuk peringatan retrospektif: picu pada penyelesaian mobile berbayar yang mapan di bawah target 45% yang dinyatakan. Dengan kohor klik akhir hari dan aturan pengamatan tujuh hari, perbandingan Minggu 2 penuh pertama kali dibenarkan pada September 21 pukul 23:59:59 UTC; snapshot yang disediakan adalah September 22 pukul 23:59:59 UTC. Deteksi → Analisis → Rute → Tinjauan adalah demonstrasi statis. Pemilik produk/pemimpin media memiliki diagnosis; peninjau kompeten pengukuran dengan otoritas rilis memiliki persetujuan yang dihadapi klien. Belum ada persetujuan manusia atau pengiriman eksternal yang terjadi. Periksa ulang aturan/konteks pada siklus berikutnya, dan eskalasikan definisi atau bukti yang hilang kepada pemilik pemasaran alih-alih mengeluarkan klaim yang tegas.
Asal-usul
Diperiksa terhadap CSV rekonsiliasi yang disediakan, perhitungan deterministik yang ditinjau secara independen, dan
data/analysis.json. Respons awal dan tindak lanjut mentah tetap menjadi bukti yang dapat diunduh. Klaim
numerik dalam draf editorial akhir harus dipetakan ke buku besar klaim. “Approved” di sini berarti disetujui untuk
proses produksi editorial berbantuan AI ini; ini tidak menggantikan gerbang rilis manusia pemilik.
Pemeriksaan proses produksi yang direkam
Proses pemformatan yang direkam mempertahankan hitungan periode/perangkat dan rasio keuangan yang diperiksa. Namun juga memperkenalkan “hold the diagnostic decision until role owners complete their checks,” (tunda keputusan diagnostik hingga penanggung jawab peran menyelesaikan pemeriksaan mereka) yang dapat dibaca sebagai menunda investigasi yang ingin kami mulai. Perumusan kata itu tidak dipertahankan dalam laporan editorial terpisah. Bagian kontennya mengelompokkan “targeting/mix changes” (perubahan penargetan/komposisi) di bawah hipotesis: pergeseran campuran diamati dalam data sintetis; penyebabnya tetap menjadi hipotesis.
File pendiri/media/konten yang disediakan adalah draf editorial yang disiapkan dan diperiksa secara terpisah dari fakta yang disetujui sama. File-file itu tidak diiklankan sebagai salinan verbatim dari respons pemformatan. Output produksi mentah tetap tidak berubah sehingga pembaca dapat memeriksa batas tinjauan terakhir ini juga.
Brief pelaporan yang diperbarui v2
Ringkasan pelaporan GreenLeaf v2 — terapkan pembelajarannya
Status: Draf editorial dengan bantuan AI; persetujuan publikasi/rilis oleh manusia masih menunggu. Kasus fiktif, bukan bukti operasional klien. Ini adalah pembaruan tambahan terhadap brief lengkap v1, bukan pengganti dengan prompt yang lebih singkat. Baca keduanya bersama-sama untuk siklus berikutnya.
Tujuan bisnis, definisi KPI, tanggung jawab pemangku kepentingan, aturan atribusi, periode target, dan ritme pada v1 tetap tidak berubah. Pengetahuan baru dipisahkan berdasarkan kelas bukti di bawah ini.
Temuan data yang telah diperiksa
- Penyelesaian mobile berbayar adalah 3,780/8,400 = 45% pada Minggu 1 dan 2,352/8,400 = 28% pada Minggu 2.
- Campuran mulai skeptis/eksplorasi pada mobile berubah dari 50%/50% menjadi 25%/75%.
- Menggunakan bobot kanal/audiens/kreatif tetap Minggu 1 menghasilkan 35.33% untuk Minggu 2. Baik komposisi maupun pergerakan dalam kelompok berkontribusi secara deskriptif; semua 12 strata mobile menurun. Tidak ada penyebab yang terbukti.
- Respons AI pertama yang hanya teks dan tindak lanjut terfokusnya mengandung kesalahan aritmetika. Gunakan kembali paket metrik yang telah diperiksa dan referensi klaim, bukan angka yang tidak terverifikasi dari respons tersebut.
Konteks fiktif yang dilaporkan — verifikasi masih belum selesai
Pemilik produk melaporkan revisi penyajian kuis mobile mulai September 8 pukul 09:00 UTC. Pemimpin dukungan melaporkan kesulitan menemukan kontrol berikutnya di ponsel, tanpa tanggal, jumlah, atau keterkaitan dengan kohor berbayar. Tidak ada audit penerapan, pangsa peluncuran, atau bukti penetapan versi yang diberikan. Laporan-laporan ini memprioritaskan suatu investigasi; laporan ini bukan log rilis terverifikasi atau diagnosis kausal.
Urutan kerja siklus berikutnya
| Peran pemilik | Bukti/tindakan yang diperlukan | Kondisi berhenti |
|---|---|---|
| Pemilik produk | Mereproduksi alur mobile dan mengambil bukti rilis/versi/QA | Penetapan/log yang hilang mencegah klaim kausal spesifik versi |
| Pemimpin media | Rekonsiliasi makna peristiwa, penandaan kohor, dan potongan perangkat/audiens/kreatif yang sebanding | Definisi yang tidak konsisten atau jendela yang belum matang mencegah perbandingan yang mapan |
| Pemimpin konten | Memeriksa ekspektasi pesan/pasca-klik setelah pemeriksaan pengukuran/perjalanan | Tidak ada masalah pesan yang terkonfirmasi berarti tidak ada klaim hook yang menang atau gagal |
| Peninjau dengan pengetahuan pengukuran terkini dan otoritas rilis | Memeriksa keputusan dan semua draf pemangku kepentingan sebelum dirilis ke klien | Tanpa persetujuan berarti tidak ada pengiriman eksternal |
Hipotesis yang harus tetap menjadi hipotesis
Gesekan penyajian, perubahan pelacakan, perubahan penargetan/campuran, dan pengaruh lain mungkin berkontribusi. Laporan dukungan tidak menetapkan prevalensi atau pengabaian. Tidak ada kerugian pendapatan yang didorong kuis, lift inkremental, laba, LTV terealisasi, CAC penuh, atau vonis target bisnis bulanan yang telah ditetapkan.
Tinjau kembali permintaan konteks, aturan, dan bukti pada siklus pelaporan berikutnya; hapus asumsi yang sudah usang atau biarkan secara eksplisit belum terselesaikan. Baik pembaruan ini maupun penggunaan ulangnya tidak membuktikan hasil masa depan yang lebih baik.
Apa yang berubah dalam brief
Apa yang berubah antara brief v1 dan v2
Contoh fiktif GreenLeaf. Tinjauan editorial dengan bantuan AI; rilis oleh manusia masih menunggu.
| Area | v1 | v2 | Kelas bukti |
|---|---|---|---|
| Sinyal mobile | Target dan pola data yang sengaja dirancang untuk pengajaran; belum ada hasil yang diperiksa | Diperiksa 3,780/8,400 → 2,352/8,400 | CSV yang direkonstruksi, perhitungan terverifikasi |
| Campuran audiens | Bandingkan sebelum diagnosis | Mulai mobile bergeser dari porsi sama menjadi 25% skeptis / 75% eksplorasi | CSV yang direkonstruksi, perhitungan terverifikasi |
| Kelompok sebanding | Pemeriksaan analitik yang diperlukan | Tingkat Minggu 2 campuran tetap 35.33%; semua 12 strata menurun | Perhitungan deskriptif, tanpa interpretasi kausal |
| Riwayat produk | Tidak diketahui; minta dari pemilik | Revisi mobile dilaporkan; audit/penetapan/peluncuran hilang | Konteks fiktif yang ditulis sebelumnya, verifikasi masih menunggu |
| Riwayat dukungan | Tidak diketahui | Kesulitan menemukan kontrol langkah berikutnya dilaporkan, tetapi belum dikaitkan dengan kohor berbayar | Anekdot fiktif, tanpa estimasi prevalensi |
| Langkah berikutnya | Diagnosis sebelum intervensi prematur | Prioritaskan verifikasi mobile/peristiwa dengan pemilik produk/media | Keputusan editorial, diusulkan bukan diselesaikan |
| Angka AI | Harus diperiksa | Kesalahan awal/tindak lanjut didokumentasikan; gunakan paket metrik yang diperiksa | Respons aktual yang direkam plus pemeriksaan independen |
| Target bisnis dan hal yang tidak diketahui | Empat target, bukti kausal/LTV/kesadaran/ekonomi hilang | Tidak berubah | Skenario kursus dan batas bukti |
Tidak ada riwayat yang diketahui yang sengaja dihapus dari v1. Konteks selanjutnya ditulis sebelum proses awal dan mewakili informasi yang dipelajari kemudian oleh tim fiktif. Urutan ini bukan uji terkontrol tentang superioritas manusia, juga bukan bukti cacat produk atau penghematan terukur.
Catatan produksi dan perutean
Sebuah temuan mencapai pemilik yang tepat
Contoh pengajaran retrospektif statis. Tidak ada layanan pemantauan, pesan eksternal, perubahan kampanye otonom, atau rilis manusia yang selesai. Laporan yang diusulkan adalah draf editorial berbantuan AI.
Deteksi
Aturan: penyelesaian kuis mobile berbayar yang mapan berada di bawah target 45% skenario. Minggu 2 adalah 2,352/8,400 = 28%. Ini adalah aturan kuis yang ditentukan, bukan perbandingan CPA media dengan CAC penuh.
Kohor klik mencakup September 8–14, 2026, UTC, dengan jendela pengamatan tujuh hari. Di bawah konvensi kematangan akhir hari, perbandingan Minggu 2 lengkap pertama kali dibenarkan pada September 21 pukul 23:59:59 UTC. Contoh ini menggunakan snapshot September 22, 23:59:59 UTC. Ini tidak dapat menunjukkan deteksi dini selama Minggu 2 atau membuktikan bahwa kerugian akan dicegah.
Analisis
Periksa hitungan dan definisi, lalu kelompok sebanding. Campuran tetap Minggu 1 memberikan 35.33%, bukan 28%: baik komposisi dan perubahan dalam-kelompok penting. Revisi mobile/kekhawatiran dukungan yang dilaporkan mendukung hipotesis diagnostik, bukan penyebab. Hasil yang tidak tersedia tetap tidak tersedia.
Rute
| Penerima | Menerima | Tanggung jawab |
|---|---|---|
| Pemilik produk + pemimpin media | Urutan kerja diagnostik mobile dan kohor relevan | Verifikasi perjalanan/peristiwa dan ambil bukti rilis/versi |
| Pendiri / pemilik pemasaran | Ringkasan yang menghadap bisnis | Memutuskan prioritas setelah bukti dan rekomendasi lolos tinjauan |
| Pemimpin konten | Brief pesan/pasca-klik | Periksa serah terima dan usulkan hanya uji yang dibenarkan |
Tidak ada pengiriman email/Slack langsung. Tabel adalah catatan rute dalam alur kerja fiktif.
Tinjauan
Status rilis: menunggu tinjauan manusia. Peninjau dengan kompetensi pengukuran terkini dan otoritas rilis harus menyetujui rekomendasi yang dihadapi klien. Uji hijau, respons model, atau tinjauan agen lain tidak memberikan persetujuan itu.
Ritme diagnostik mingguan; narasi bisnis bulanan; reset perencanaan triwulanan. Tinjau ulang aturan dan konteks pada siklus pelaporan berikutnya. Eskalasikan definisi yang hilang, konteks yang usang, atau bukti versi yang tidak tersedia kepada pemilik pemasaran; pertahankan ketidakpastian alih-alih menghasilkan peringatan yang percaya diri. Tidak ada tanggal tinjauan masa depan yang tepat, diagnosis yang selesai, atau hasil yang diciptakan.
Bukti proses yang direkam
Permintaan AI asli direkam dalam bahasa Inggris.
Prompt awal yang dikirimkan
Prepare the first reporting draft for fictional GreenLeaf Wellness UK. This is an openly constructed teaching example, not real campaign or customer data. Read the full reporting brief and dictionary before analyzing the reconciled CSV. You have no code-execution tool in this request; do not claim you executed code, queried a platform or inspected release logs. Show calculations and label any arithmetic uncertainty.
In one response produce three clearly headed deliverables: Founder / CEO Summary (one-page equivalent, at most three actions with role owners), Media Team Analysis (checked period/channel/device/audience/creative comparisons), and Content & Creative Brief (message/post-click hypotheses and a focused next test). Facts and recommendations must remain consistent across the three. Every finding answers WHAT happened, WHY it matters to the business, and WHAT'S NEXT. State unavailable outcomes.
For media analysis, show summed spend, starts, completions, new customers, attributed first-purchase revenue, media CPA and first-order ROAS for each period. Check the mobile aggregate against channel × audience × creative strata and compute a Week 1-starts-weighted Week 2 rate before diagnosing the decline. Separate composition from within-group changes; neither proves causality. Do not invent a loss estimate, conversion denominator, budget, profit, CAC reconciliation or incremental result. Do not treat a two-week export as full-month target performance. Do not force a budget or creative change when a diagnostic recommendation is justified.
Return readable Markdown with compact evidence tables. Include an explicit limitations section and a short reproducible calculation for the main signal.
## Attached file: en/brief-v1.md
# GreenLeaf UK launch — reporting brief v1
**Version:** 1.0 · **Authored:** 2026-10-29 · **Status:** English source input for a fictional teaching example; not a published report. Freeze this brief, the dictionary and the source map before fixture generation. Freeze exact run-input hashes separately after data verification. No AI response or analytical result is claimed by this brief.
## Business and the handoffs into reporting
GreenLeaf Wellness is the course's fictional subscription supplement business, expanding from the US into the UK. Its products include daily greens, protein blends and adaptogen stacks. Its proposed distinction is ingredient traceability and transparent dosing. The commercial question is whether that proposition helps UK buyers progress from consideration to a first purchase. This reconstruction examines paid cohorts; it cannot settle the whole launch's success.
| Upstream work | Concrete handoff supplied here | How reporting uses it | Evidence still needed |
|---|---|---|---|
| Research and strategy | Oliver, the skeptical biohacker, is a synthetic persona hypothesis. Objection: can I verify what is in a serving, and does the price reflect value? Interview question: what evidence changed your last supplement shortlist? | Compare the `skeptical` and `exploring` audience hypotheses and the `traceability` and `value` messages without treating identifiers as validated psychology. | Real customer interviews, observed objections and a validated segment definition. |
| Measurement | Business objective → KPI → diagnostic lever. Quiz completion = completions / starts; new-customer revenue has a monthly target. Seven-day UTC paid-click cohorts have a common maturity rule. | Keep outcomes above CTR/CPC/CPM and compare like-for-like denominators. | All-channel monthly revenue reconciliation, awareness research, retention history and incrementality design/results. |
| Activation | Illustrative message: “Know what is in every serving.” Second message tests value through clear dosing information. Journey: ad → landing page → quiz start → completion → first purchase. Canonical campaign/device/audience/creative IDs are in the dictionary. | Inspect message, audience, device and funnel stage; request event and release reconciliation before diagnosing. | Substantiation of any product claim, event QA logs, ad-platform exports and a timestamped release/test register. These illustrative messages are not approved advertising. |
| Institutional memory | This v1 records all scenario context currently supplied. There is no supplied historical seasonal baseline, client preference log, earlier agency finding or known product incident. | Treat missing history as unknown; ask its owner rather than invent a founder sensitivity or seasonal explanation. | Product/support and commercial-owner follow-up; record subsequently learned information with provenance in v2. |
The source map separates course facts, new reconstruction choices and later derived results. Source: [course traceability](../data/course-source-map.json). Field semantics: [dictionary](dictionary.md).
## 1. KPIs and targets
| Business decision | Course scenario target | Evidence available from this reconstruction | Reporting boundary |
|---|---|---|---|
| Are buyers progressing through consideration? | 45% quiz completion | Paid-cohort quiz completions ÷ starts, including mobile and desktop separately | The authored mobile comparison is 45% → 28%, a 17 percentage point decline (approximately 37.8% relative). Verify counts after generation; this is a teaching constraint, not an observed client result or all-site rate. |
| Is the UK launch producing new-customer revenue? | USD $60,000 per month | Attributed first-purchase revenue for September 1–14 paid-click cohorts | Two paid-cohort weeks do not establish a full-month, all-channel result. Do not prorate the target into a success verdict. Obtain the full month, common revenue definition and reconciled new-customer ledger. |
| Is GreenLeaf becoming known? | 15% unaided awareness | Unavailable | Impressions, clicks and paid revenue cannot substitute for a brand-awareness study. |
| Are customers valuable over time? | USD $480 LTV at 12 months | Unavailable | First-order revenue cannot establish realized LTV or retention. |
The course's **$312 breakeven CAC** is a scenario planning guardrail. This export supplies media spend and attributed first-purchase customers, so it supports **media CPA**, not full CAC. Reconcile acquisition cost scope, unique new customers, periods and the economic assumptions before comparing with that guardrail. No CAC breach or profitability claim follows from media CPA alone.
CTR, CPC, CPM, click-to-start rate, completion-to-purchase rate, media CPA and attributed first-order ROAS are diagnostic levers. Frequency, impression share and bounce rate are unavailable because their required source fields are absent. Incremental lift, all-site revenue, refunds outside the fixture, full acquisition economics and long-term outcomes remain unknown.
## 2. Stakeholders, decisions and release authority
One prompt must produce all three drafts from the same brief and reconciled dataset. Every finding answers **WHAT happened → WHY it matters → WHAT'S NEXT**, separating checked facts, hypotheses, unknowns and proposed actions.
| Recipient | Decision the report must support | Required deliverable | Authority and boundary |
|---|---|---|---|
| Founder / CEO (or in-house marketing leader) | Should launch priorities change now, or should the team obtain specific evidence before a commercial decision? | One-page summary of the business signal, material uncertainty and a named next decision. | Founder/marketing owner approves commercial priorities and budget. No automatic reallocation, unsupported lost-revenue estimate or monthly target verdict. |
| Media team | Which cohort, event definition or journey stage should be investigated first, and what evidence would change the next media decision? | Channel/device/audience/creative analysis, funnel counts, weighted rates and fixed-mix check. | Media lead owns source reconciliation and diagnostic work order; spend changes require commercial approval. |
| Content & creative team | Should the next test focus on the message, the post-click experience, or evidence needed to choose between them? | Focused creative/testing brief with hypothesis, evidence required, owner and success measure. | Creative lead proposes a test; product owner approves product changes and relevant claim substantiation. No unsupported creative winner or causal claim. |
Agency leaders can inspect the quality of advice and release discipline; in-house leaders can inspect evidence for changing the plan; performance leads can inspect the diagnostic work. Readers evaluating professional judgment can inspect the same evidence. These reader perspectives do not replace the three course deliverables or change the underlying facts.
A reviewer competent in measurement definitions and campaign operations checks source reconciliation, calculations, comparison logic and the proposed decision. The founder/marketing owner retains release authority for leadership/client-facing recommendations. These are fictional role assignments, not real people, messages or approvals.
## 3. Context layers and known unknowns
**Temporal:** Week 1 = September 1–7, 2026; Week 2 = September 8–14. `date` is a UTC paid-click cohort date. Funnel events and attributed purchases share seven days after the eligible click. Snapshot = `2026-09-22T23:59:59Z`, when both periods are mature. This is a retrospective comparison, not evidence of detection during Week 2. No seasonal effect, holiday explanation or earlier baseline is supplied.
**Business:** UK expansion, subscription products and the transparency proposition come from the fictional course scenario. The reporting currency is USD to preserve the course target units. No real UK price, exchange-rate conversion, approved health claim, launch budget or full customer economics is established here.
**Competitive:** the course uses AG1, Huel, Ritual, Seed and Thorne as recognizable category context. Current pricing, competitor campaigns and market shares have not been researched for this example; no movement can be attributed to them. Oliver's persona dialogue is synthetic, not an interview transcript from a real customer.
**Client/team history:** product release status, mobile QA findings, support feedback, founder sensitivities, audience-test assignment and earlier reporting lessons have not been supplied at v1. Absence from these inputs does not mean nothing changed. The first diagnostic work order must ask product/support for timestamped context and measurement for event/version reconciliation. Any answer is new information to this brief and must be labelled as such. Do not assume a product problem in advance.
## 4. Benchmarks, dimensions and common-sense checks
The internal comparison is two equal, mature seven-day periods. The 45% course target is the benchmark under the declared paid-cohort scope; no external industry benchmark is supplied. Dimensions are channel (`google-search`, `linkedin`, `reddit-paid`), device (`mobile`, `desktop`), audience (`skeptical`, `exploring`), creative (`traceability`, `value`) and funnel stage. These are constructed mutually exclusive reporting buckets, not verified targeting performance or real persona classification.
Before drafting findings:
1. Reconcile 337 raw rows to 336 canonical daily rows: remove the single exact duplicate, normalize only the declared campaign alias, preserve source counts and validate identifiers, integer counts/cents and `is_provisional`.
2. Check funnel inequalities, mature coverage and attribution assumptions. Do not infer unique customers independently from an aggregate CSV. Zero denominators yield unavailable ratios, not zero performance.
3. Sum numerators and denominators before dividing. Never average row rates; calculate monetary ratios from cents without rounding intermediate values.
4. Check mobile movement within channel × audience × creative strata. Compare Week 2 stratum rates using Week 1 quiz-start shares as fixed weights. Report observed aggregate, fixed-mix comparison, weights and any undefined stratum. Diagnose composition versus within-group movement before a product explanation; either pattern still lacks causal identification.
5. Reconcile device and segment totals to the whole. Explain first-order revenue with its cohort and attribution limits. Do not copy unsupported course-asset numbers such as revenue at risk, a segment multiple or a precise budget move.
**Retrospective alert rule:** for a mature comparable weekly paid-mobile cohort with at least one quiz start, flag completion below 45%. Detect → analyze with source/fixed-mix checks → route the diagnostic to the media lead and product owner → human review. The accountable owner records source window, snapshot, earliest defensible availability, decision and approval state. A static sample is not a running service; no external messages, automatic spend changes or prevented-loss claim is authorized.
## 5. Cadence and the next brief
Weekly: diagnostic/optimization summary, checked cohort cuts, owner and next evidence request. Monthly: business narrative against the full target period, with all-channel reconciliation and unavailable outcomes explicit. Quarterly: reset planning assumptions, benchmarks and measurement design rather than extrapolate this snapshot.
For this teaching cycle, preserve the actual multi-audience prompt and unedited response; record model/run metadata and exact input hashes. Include a focused analysis question, checked answer and useful follow-up. Human review may confirm, revise, defer or reject a recommendation; unchanged advice is a valid outcome. Newly learned fictional context must have been written and hash-recorded before the initial run, and must not be retrofitted to manufacture a failure. It is not an input to the first draft.
Then record the review reasoning, update brief v2 and a readable diff, and produce three final reports from approved facts. Distinguish context-enabled changes from independent reviewer judgment. Preserve hypotheses as hypotheses in memory. This sequence demonstrates reporting judgment; it does not measure AI accuracy, human superiority, saved time or client ROI. Public release requires the separately governed localization and review gates.
## Attached file: en/dictionary.md
# GreenLeaf reporting data dictionary — v1 semantic contract
**Authored:** 2026-10-29 · **Status:** frozen source specification before fixture generation; English editorial input. The CSV is a new synthetic reconstruction, not recovered course data. The [brief](brief-v1.md) governs decisions; the [source map](../data/course-source-map.json) governs provenance. No real customers, health information or client accounts are included.
## Grain, window and attribution
One canonical row is one UTC paid-click date × channel × device × audience × creative, in the UK. Fourteen dates × three channels × two devices × two audiences × two creatives = **336 rows**. The raw export has **337 rows**, including one exact duplicate. Campaign belongs to channel and does not add a dimension.
Week 1: `2026-09-01`–`2026-09-07` inclusive. Week 2: `2026-09-08`–`2026-09-14` inclusive. Snapshot: **`2026-09-22T23:59:59Z`**. Days are UTC and `date` always means paid-click cohort date, never purchase/event date. Funnel events and first purchases are observed during the seven days after the eligible paid click. Exact event timestamps are not exported; the seven-day attribution/observation window is a generator construction assumption. Both complete periods have matured at the snapshot. All published primary rows have `is_provisional=false`.
Spend, impressions and clicks describe the acquisition activity assigned to that cohort date. Landing, quiz and purchase counts follow its source-tagged paid-click cohort and device/audience/creative bucket. Each synthetic first-purchase customer and revenue amount is assigned once, to the last eligible paid click within seven days; all event stages follow this same exclusive assignment. Cross-device identity reconciliation is not measured. Exclusivity is guaranteed by construction, not independently established by this aggregate file.
## Fields
| Field | Type / unit | Meaning and validation |
|---|---|---|
| `row_id` | nonempty string | Stable unique canonical row ID. The raw exact duplicate repeats it; conflicting rows with the same ID are an error. |
| `date` | ISO `YYYY-MM-DD` | UTC source paid-click cohort date, within September 1–14. |
| `market` | enum | `UK` only; scope is paid cohorts in the fictional UK launch. |
| `channel` | enum | `google-search`, `linkedin`, `reddit-paid`. Organic Reddit activity is excluded. |
| `campaign_id` | enum after normalization | One campaign per channel; lookup below. |
| `device` | enum | `mobile` or `desktop`, device of assigned source paid click. |
| `audience_id` | enum | `skeptical` or `exploring`; mutually exclusive constructed buckets within channel, not validated customer traits. |
| `creative_id` | enum | `traceability` or `value`; message hypotheses with channel-specific format, lookup below. |
| `spend_cents` | nonnegative integer USD cents | Media cost only. No agency, creative, tooling, salaries or other acquisition costs. |
| `impressions` | nonnegative integer | Acquisition ad impressions in the bucket; not unique people or frequency. |
| `clicks` | nonnegative integer | Paid clicks assigned to this bucket; not unique visitors. |
| `landing_sessions` | nonnegative integer | Source-tagged landing sessions observed within seven days of the eligible paid click. At most one retained session per synthetic funnel journey. |
| `quiz_starts` | nonnegative integer | Distinct retained source-tagged quiz journeys that start within the same seven-day window; one retained start per journey. Completion-rate denominator. |
| `quiz_completions` | nonnegative integer | Those retained quiz journeys completed within the same seven-day window; no repeated completion counting. |
| `attributed_new_customers` | nonnegative integer | First-purchase customers completing this constructed quiz-led funnel within seven days, assigned once by the declared last-paid-click rule. Not all-site new customers. |
| `attributed_first_purchase_revenue_cents` | nonnegative integer USD cents | First-purchase revenue from those customers, after discounts, excluding tax and shipping. No refunds in this fixture; no renewal revenue. The generator assigns USD $80 (8,000 cents) per first-purchase customer for arithmetic clarity; this is a reconstruction assumption, not course pricing or LTV. |
| `is_provisional` | boolean | `false` means this row's seven-day observation window is mature at the declared snapshot. Reject unsupported string/boolean coercion. |
Per-row inequalities: `impressions >= clicks >= landing_sessions >= quiz_starts >= quiz_completions >= attributed_new_customers`. This is an explicit simplified quiz-led funnel construction, not a universal property of advertising exports. A row with zero customers must have zero first-purchase revenue; a positive customer count must have positive revenue. These constraints do not supply person-level evidence.
## Canonical lookups and raw cleanup
| Channel | Canonical campaign ID | Display name | Allowed raw campaign ID alias |
|---|---|---|---|
| `google-search` | `gl-uk-google-search` | GreenLeaf UK Search | `gl_uk_search` → `gl-uk-google-search` |
| `linkedin` | `gl-uk-linkedin` | GreenLeaf UK LinkedIn | None |
| `reddit-paid` | `gl-uk-reddit-paid` | GreenLeaf UK Reddit paid | None |
Audience `skeptical`: constructed bucket for a proof-seeking buyer comparing sourcing/dosing evidence; inspired by Oliver's unvalidated persona. Audience `exploring`: constructed bucket for a buyer exploring the category and considering value. They are neither real targeting specifications nor randomized treatment assignments; no identity, profession or health condition is inferred.
Creative `traceability`: illustrative “Know what is in every serving” message. Creative `value`: illustrative “Compare the value of a clearly dosed serving” message. For Google Search these are text-ad message hypotheses; for LinkedIn, sponsored-feed copy hypotheses; for Reddit paid, promoted-post copy hypotheses. Creative IDs are shared message categories within each channel, not identical finished ad assets or approved claims. No proof of efficacy or actual product certification is supplied.
Remove only a byte-for-byte/equal-field exact duplicate, recording its source row ID. Normalize only the declared alias and record the count. An unknown ID, unexpected market, missing field, malformed date, noninteger cents/count, negative value, conflicting duplicate or impossible funnel must fail validation rather than be silently repaired. Preserve a documented zero-denominator row to verify unavailable-ratio handling. Reconcile raw/canonical counts and all dimension totals. The fixture generation record must identify the exact duplicate, alias row and zero-denominator row; this dictionary does not pretend those rows already exist.
## Metrics and comparison rules
Use sums within the selected cohort/dimension, then divide; never average row-level rates. Retain full intermediate precision. Display USD by dividing cents by 100 only at presentation. A zero denominator yields **unavailable**, never zero/infinity; percent change against a zero prior value is unavailable.
| Metric | Definition | Interpretation |
|---|---|---|
| Quiz completion rate | `sum(quiz_completions) / sum(quiz_starts)` | Primary funnel KPI; paid-mobile Week 1/2 must be calibrated to 45%/28%. |
| Click-to-start rate | `sum(quiz_starts) / sum(clicks)` | Diagnostic; distinct from quiz completion. |
| Click-to-landing rate | `sum(landing_sessions) / sum(clicks)` | Diagnostic, not a verified bounce rate. |
| Completion-to-purchase rate | `sum(attributed_new_customers) / sum(quiz_completions)` | Constructed quiz-led funnel diagnostic. |
| CTR | `sum(clicks) / sum(impressions)` | Optimization metric; not awareness. |
| CPC (USD) | `sum(spend_cents) / sum(clicks) / 100` | Media cost per click. |
| CPM (USD) | `sum(spend_cents) / sum(impressions) * 1000 / 100` | Media cost per 1,000 impressions. |
| Media CPA (USD) | `sum(spend_cents) / sum(attributed_new_customers) / 100` | Media-only proxy; not full CAC. |
| Attributed first-order ROAS | `sum(attributed_first_purchase_revenue_cents) / sum(spend_cents)` | Revenue/spend ratio; not profit, incrementality or LTV. |
| First-purchase revenue (USD) | `sum(attributed_first_purchase_revenue_cents) / 100` | Paid-cohort attribution only; not a verdict against the $60K full-month target. |
A rate's percentage-point change is `(Week 2 rate - Week 1 rate) * 100`. Relative change is `(Week 2 rate / Week 1 rate - 1) * 100` when Week 1 is positive. The authored 45% → 28% equals −17 percentage points and approximately −37.8% relative; no other result is predetermined by this source contract.
Before diagnosing mobile aggregate movement, stratify mobile by channel × audience × creative. For stratum `s`, set fixed weight `w_s = Week 1 starts_s / Week 1 total starts`. Compare `sum(w_s * Week 1 completion_rate_s)` with `sum(w_s * Week 2 completion_rate_s)` and compare both with observed rates. Publish weights and counts. A positive-weight stratum without a defined Week 2 rate makes the full fixed-mix comparison unavailable; any explicitly restricted common-strata comparison must disclose excluded counts/weights and cannot silently stand in for the whole. A zero-weight stratum contributes zero and does not require a rate. Changing mix and within-stratum movement may coexist. Neither proves a cause; the cohorts are not randomized.
An incomplete snapshot or provisional primary row makes the two full periods unsettled/noncomparable. Do not treat unobserved outcomes as zero. A separately selected comparison with identical mature coverage must state the selected dates, exclusions and changed question.
## Unavailable evidence and source conflicts
Unavailable: full CAC, profit, retention, realized 12-month LTV, awareness, incrementality, true all-channel/month revenue, frequency, impression share, bounce rate, event/release logs, customer interviews and causal explanations. The source asset's separate 4.2% “quiz CVR” has no adequate shared denominator definition here; do not import it. No screenshot's loss estimate, segment multiple, budget instruction or organic-to-paid causal story is a derived fixture result. See the source map for course facts versus newly authored assumptions.
## Attached file: data/reconciled.csv
row_id,date,market,channel,campaign_id,device,audience_id,creative_id,spend_cents,impressions,clicks,landing_sessions,quiz_starts,quiz_completions,attributed_new_customers,attributed_first_purchase_revenue_cents,is_provisional
d01-google-search-mobile-skeptical-traceability,2026-09-01,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3100,2520,140,120,100,54,4,32000,false
d01-google-search-mobile-skeptical-value,2026-09-01,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3100,2520,140,120,100,58,4,32000,false
d01-google-search-mobile-exploring-traceability,2026-09-01,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3100,2520,140,120,100,25,2,16000,false
d01-google-search-mobile-exploring-value,2026-09-01,UK,google-search,gl-uk-google-search,mobile,exploring,value,3100,2520,140,120,100,29,2,16000,false
d01-google-search-desktop-skeptical-traceability,2026-09-01,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3100,2160,120,100,80,38,3,24000,false
d01-google-search-desktop-skeptical-value,2026-09-01,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3100,2160,120,100,80,40,3,24000,false
d01-google-search-desktop-exploring-traceability,2026-09-01,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3100,2160,120,100,80,30,2,16000,false
d01-google-search-desktop-exploring-value,2026-09-01,UK,google-search,gl-uk-google-search,desktop,exploring,value,3100,2160,120,100,80,32,2,16000,false
d01-linkedin-mobile-skeptical-traceability,2026-09-01,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4100,2660,140,120,100,58,4,32000,false
d01-linkedin-mobile-skeptical-value,2026-09-01,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4100,2660,140,120,100,62,4,32000,false
d01-linkedin-mobile-exploring-traceability,2026-09-01,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4100,2660,140,120,100,28,2,16000,false
d01-linkedin-mobile-exploring-value,2026-09-01,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4100,2660,140,120,100,32,2,16000,false
d01-linkedin-desktop-skeptical-traceability,2026-09-01,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4100,2280,120,100,80,39,3,24000,false
d01-linkedin-desktop-skeptical-value,2026-09-01,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4100,2280,120,100,80,41,3,24000,false
d01-linkedin-desktop-exploring-traceability,2026-09-01,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4100,2280,120,100,80,31,2,16000,false
d01-linkedin-desktop-exploring-value,2026-09-01,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4100,2280,120,100,80,33,2,16000,false
d01-reddit-paid-mobile-skeptical-traceability,2026-09-01,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2600,2800,140,120,100,62,4,32000,false
d01-reddit-paid-mobile-skeptical-value,2026-09-01,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2600,2800,140,120,100,66,5,40000,false
d01-reddit-paid-mobile-exploring-traceability,2026-09-01,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2600,2800,140,120,100,31,2,16000,false
d01-reddit-paid-mobile-exploring-value,2026-09-01,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2600,2800,140,120,100,35,2,16000,false
d01-reddit-paid-desktop-skeptical-traceability,2026-09-01,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2600,2400,120,100,80,40,3,24000,false
d01-reddit-paid-desktop-skeptical-value,2026-09-01,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2600,2400,120,100,80,42,3,24000,false
d01-reddit-paid-desktop-exploring-traceability,2026-09-01,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2600,2400,120,100,80,32,2,16000,false
d01-reddit-paid-desktop-exploring-value,2026-09-01,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,0,0,0,0,0,0,0,0,false
d02-google-search-mobile-skeptical-traceability,2026-09-02,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3200,2520,140,120,100,54,4,32000,false
d02-google-search-mobile-skeptical-value,2026-09-02,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3200,2520,140,120,100,58,4,32000,false
d02-google-search-mobile-exploring-traceability,2026-09-02,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3200,2520,140,120,100,25,2,16000,false
d02-google-search-mobile-exploring-value,2026-09-02,UK,google-search,gl-uk-google-search,mobile,exploring,value,3200,2520,140,120,100,29,2,16000,false
d02-google-search-desktop-skeptical-traceability,2026-09-02,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3200,2160,120,100,80,38,3,24000,false
d02-google-search-desktop-skeptical-value,2026-09-02,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3200,2160,120,100,80,40,3,24000,false
d02-google-search-desktop-exploring-traceability,2026-09-02,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3200,2160,120,100,80,30,2,16000,false
d02-google-search-desktop-exploring-value,2026-09-02,UK,google-search,gl-uk-google-search,desktop,exploring,value,3200,2160,120,100,80,32,2,16000,false
d02-linkedin-mobile-skeptical-traceability,2026-09-02,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4200,2660,140,120,100,58,4,32000,false
d02-linkedin-mobile-skeptical-value,2026-09-02,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4200,2660,140,120,100,62,4,32000,false
d02-linkedin-mobile-exploring-traceability,2026-09-02,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4200,2660,140,120,100,28,2,16000,false
d02-linkedin-mobile-exploring-value,2026-09-02,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4200,2660,140,120,100,32,2,16000,false
d02-linkedin-desktop-skeptical-traceability,2026-09-02,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4200,2280,120,100,80,39,3,24000,false
d02-linkedin-desktop-skeptical-value,2026-09-02,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4200,2280,120,100,80,41,3,24000,false
d02-linkedin-desktop-exploring-traceability,2026-09-02,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4200,2280,120,100,80,31,2,16000,false
d02-linkedin-desktop-exploring-value,2026-09-02,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4200,2280,120,100,80,33,2,16000,false
d02-reddit-paid-mobile-skeptical-traceability,2026-09-02,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2700,2800,140,120,100,62,4,32000,false
d02-reddit-paid-mobile-skeptical-value,2026-09-02,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2700,2800,140,120,100,66,5,40000,false
d02-reddit-paid-mobile-exploring-traceability,2026-09-02,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2700,2800,140,120,100,31,2,16000,false
d02-reddit-paid-mobile-exploring-value,2026-09-02,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2700,2800,140,120,100,35,2,16000,false
d02-reddit-paid-desktop-skeptical-traceability,2026-09-02,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2700,2400,120,100,80,40,3,24000,false
d02-reddit-paid-desktop-skeptical-value,2026-09-02,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2700,2400,120,100,80,42,3,24000,false
d02-reddit-paid-desktop-exploring-traceability,2026-09-02,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2700,2400,120,100,80,32,2,16000,false
d02-reddit-paid-desktop-exploring-value,2026-09-02,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2700,2400,120,100,80,34,2,16000,false
d03-google-search-mobile-skeptical-traceability,2026-09-03,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3000,2520,140,120,100,54,4,32000,false
d03-google-search-mobile-skeptical-value,2026-09-03,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3000,2520,140,120,100,58,4,32000,false
d03-google-search-mobile-exploring-traceability,2026-09-03,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3000,2520,140,120,100,25,2,16000,false
d03-google-search-mobile-exploring-value,2026-09-03,UK,google-search,gl-uk-google-search,mobile,exploring,value,3000,2520,140,120,100,29,2,16000,false
d03-google-search-desktop-skeptical-traceability,2026-09-03,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3000,2160,120,100,80,38,3,24000,false
d03-google-search-desktop-skeptical-value,2026-09-03,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3000,2160,120,100,80,40,3,24000,false
d03-google-search-desktop-exploring-traceability,2026-09-03,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3000,2160,120,100,80,30,2,16000,false
d03-google-search-desktop-exploring-value,2026-09-03,UK,google-search,gl-uk-google-search,desktop,exploring,value,3000,2160,120,100,80,32,2,16000,false
d03-linkedin-mobile-skeptical-traceability,2026-09-03,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4000,2660,140,120,100,58,4,32000,false
d03-linkedin-mobile-skeptical-value,2026-09-03,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4000,2660,140,120,100,62,4,32000,false
d03-linkedin-mobile-exploring-traceability,2026-09-03,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4000,2660,140,120,100,28,2,16000,false
d03-linkedin-mobile-exploring-value,2026-09-03,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4000,2660,140,120,100,32,2,16000,false
d03-linkedin-desktop-skeptical-traceability,2026-09-03,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4000,2280,120,100,80,39,3,24000,false
d03-linkedin-desktop-skeptical-value,2026-09-03,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4000,2280,120,100,80,41,3,24000,false
d03-linkedin-desktop-exploring-traceability,2026-09-03,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4000,2280,120,100,80,31,2,16000,false
d03-linkedin-desktop-exploring-value,2026-09-03,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4000,2280,120,100,80,33,2,16000,false
d03-reddit-paid-mobile-skeptical-traceability,2026-09-03,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2500,2800,140,120,100,62,4,32000,false
d03-reddit-paid-mobile-skeptical-value,2026-09-03,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2500,2800,140,120,100,66,5,40000,false
d03-reddit-paid-mobile-exploring-traceability,2026-09-03,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2500,2800,140,120,100,31,2,16000,false
d03-reddit-paid-mobile-exploring-value,2026-09-03,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2500,2800,140,120,100,35,2,16000,false
d03-reddit-paid-desktop-skeptical-traceability,2026-09-03,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2500,2400,120,100,80,40,3,24000,false
d03-reddit-paid-desktop-skeptical-value,2026-09-03,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2500,2400,120,100,80,42,3,24000,false
d03-reddit-paid-desktop-exploring-traceability,2026-09-03,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2500,2400,120,100,80,32,2,16000,false
d03-reddit-paid-desktop-exploring-value,2026-09-03,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2500,2400,120,100,80,34,2,16000,false
d04-google-search-mobile-skeptical-traceability,2026-09-04,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3100,2520,140,120,100,54,4,32000,false
d04-google-search-mobile-skeptical-value,2026-09-04,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3100,2520,140,120,100,58,4,32000,false
d04-google-search-mobile-exploring-traceability,2026-09-04,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3100,2520,140,120,100,25,2,16000,false
d04-google-search-mobile-exploring-value,2026-09-04,UK,google-search,gl-uk-google-search,mobile,exploring,value,3100,2520,140,120,100,29,2,16000,false
d04-google-search-desktop-skeptical-traceability,2026-09-04,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3100,2160,120,100,80,38,3,24000,false
d04-google-search-desktop-skeptical-value,2026-09-04,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3100,2160,120,100,80,40,3,24000,false
d04-google-search-desktop-exploring-traceability,2026-09-04,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3100,2160,120,100,80,30,2,16000,false
d04-google-search-desktop-exploring-value,2026-09-04,UK,google-search,gl-uk-google-search,desktop,exploring,value,3100,2160,120,100,80,32,2,16000,false
d04-linkedin-mobile-skeptical-traceability,2026-09-04,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4100,2660,140,120,100,58,4,32000,false
d04-linkedin-mobile-skeptical-value,2026-09-04,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4100,2660,140,120,100,62,4,32000,false
d04-linkedin-mobile-exploring-traceability,2026-09-04,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4100,2660,140,120,100,28,2,16000,false
d04-linkedin-mobile-exploring-value,2026-09-04,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4100,2660,140,120,100,32,2,16000,false
d04-linkedin-desktop-skeptical-traceability,2026-09-04,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4100,2280,120,100,80,39,3,24000,false
d04-linkedin-desktop-skeptical-value,2026-09-04,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4100,2280,120,100,80,41,3,24000,false
d04-linkedin-desktop-exploring-traceability,2026-09-04,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4100,2280,120,100,80,31,2,16000,false
d04-linkedin-desktop-exploring-value,2026-09-04,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4100,2280,120,100,80,33,2,16000,false
d04-reddit-paid-mobile-skeptical-traceability,2026-09-04,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2600,2800,140,120,100,62,4,32000,false
d04-reddit-paid-mobile-skeptical-value,2026-09-04,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2600,2800,140,120,100,66,5,40000,false
d04-reddit-paid-mobile-exploring-traceability,2026-09-04,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2600,2800,140,120,100,31,2,16000,false
d04-reddit-paid-mobile-exploring-value,2026-09-04,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2600,2800,140,120,100,35,2,16000,false
d04-reddit-paid-desktop-skeptical-traceability,2026-09-04,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2600,2400,120,100,80,40,3,24000,false
d04-reddit-paid-desktop-skeptical-value,2026-09-04,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2600,2400,120,100,80,42,3,24000,false
d04-reddit-paid-desktop-exploring-traceability,2026-09-04,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2600,2400,120,100,80,32,2,16000,false
d04-reddit-paid-desktop-exploring-value,2026-09-04,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2600,2400,120,100,80,34,2,16000,false
d05-google-search-mobile-skeptical-traceability,2026-09-05,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3200,2520,140,120,100,54,4,32000,false
d05-google-search-mobile-skeptical-value,2026-09-05,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3200,2520,140,120,100,58,4,32000,false
d05-google-search-mobile-exploring-traceability,2026-09-05,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3200,2520,140,120,100,25,2,16000,false
d05-google-search-mobile-exploring-value,2026-09-05,UK,google-search,gl-uk-google-search,mobile,exploring,value,3200,2520,140,120,100,29,2,16000,false
d05-google-search-desktop-skeptical-traceability,2026-09-05,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3200,2160,120,100,80,38,3,24000,false
d05-google-search-desktop-skeptical-value,2026-09-05,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3200,2160,120,100,80,40,3,24000,false
d05-google-search-desktop-exploring-traceability,2026-09-05,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3200,2160,120,100,80,30,2,16000,false
d05-google-search-desktop-exploring-value,2026-09-05,UK,google-search,gl-uk-google-search,desktop,exploring,value,3200,2160,120,100,80,32,2,16000,false
d05-linkedin-mobile-skeptical-traceability,2026-09-05,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4200,2660,140,120,100,58,4,32000,false
d05-linkedin-mobile-skeptical-value,2026-09-05,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4200,2660,140,120,100,62,4,32000,false
d05-linkedin-mobile-exploring-traceability,2026-09-05,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4200,2660,140,120,100,28,2,16000,false
d05-linkedin-mobile-exploring-value,2026-09-05,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4200,2660,140,120,100,32,2,16000,false
d05-linkedin-desktop-skeptical-traceability,2026-09-05,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4200,2280,120,100,80,39,3,24000,false
d05-linkedin-desktop-skeptical-value,2026-09-05,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4200,2280,120,100,80,41,3,24000,false
d05-linkedin-desktop-exploring-traceability,2026-09-05,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4200,2280,120,100,80,31,2,16000,false
d05-linkedin-desktop-exploring-value,2026-09-05,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4200,2280,120,100,80,33,2,16000,false
d05-reddit-paid-mobile-skeptical-traceability,2026-09-05,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2700,2800,140,120,100,62,4,32000,false
d05-reddit-paid-mobile-skeptical-value,2026-09-05,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2700,2800,140,120,100,66,5,40000,false
d05-reddit-paid-mobile-exploring-traceability,2026-09-05,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2700,2800,140,120,100,31,2,16000,false
d05-reddit-paid-mobile-exploring-value,2026-09-05,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2700,2800,140,120,100,35,2,16000,false
d05-reddit-paid-desktop-skeptical-traceability,2026-09-05,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2700,2400,120,100,80,40,3,24000,false
d05-reddit-paid-desktop-skeptical-value,2026-09-05,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2700,2400,120,100,80,42,3,24000,false
d05-reddit-paid-desktop-exploring-traceability,2026-09-05,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2700,2400,120,100,80,32,2,16000,false
d05-reddit-paid-desktop-exploring-value,2026-09-05,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2700,2400,120,100,80,34,2,16000,false
d06-google-search-mobile-skeptical-traceability,2026-09-06,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3000,2520,140,120,100,54,4,32000,false
d06-google-search-mobile-skeptical-value,2026-09-06,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3000,2520,140,120,100,58,4,32000,false
d06-google-search-mobile-exploring-traceability,2026-09-06,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3000,2520,140,120,100,25,2,16000,false
d06-google-search-mobile-exploring-value,2026-09-06,UK,google-search,gl-uk-google-search,mobile,exploring,value,3000,2520,140,120,100,29,2,16000,false
d06-google-search-desktop-skeptical-traceability,2026-09-06,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3000,2160,120,100,80,38,3,24000,false
d06-google-search-desktop-skeptical-value,2026-09-06,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3000,2160,120,100,80,40,3,24000,false
d06-google-search-desktop-exploring-traceability,2026-09-06,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3000,2160,120,100,80,30,2,16000,false
d06-google-search-desktop-exploring-value,2026-09-06,UK,google-search,gl-uk-google-search,desktop,exploring,value,3000,2160,120,100,80,32,2,16000,false
d06-linkedin-mobile-skeptical-traceability,2026-09-06,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4000,2660,140,120,100,58,4,32000,false
d06-linkedin-mobile-skeptical-value,2026-09-06,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4000,2660,140,120,100,62,4,32000,false
d06-linkedin-mobile-exploring-traceability,2026-09-06,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4000,2660,140,120,100,28,2,16000,false
d06-linkedin-mobile-exploring-value,2026-09-06,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4000,2660,140,120,100,32,2,16000,false
d06-linkedin-desktop-skeptical-traceability,2026-09-06,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4000,2280,120,100,80,39,3,24000,false
d06-linkedin-desktop-skeptical-value,2026-09-06,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4000,2280,120,100,80,41,3,24000,false
d06-linkedin-desktop-exploring-traceability,2026-09-06,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4000,2280,120,100,80,31,2,16000,false
d06-linkedin-desktop-exploring-value,2026-09-06,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4000,2280,120,100,80,33,2,16000,false
d06-reddit-paid-mobile-skeptical-traceability,2026-09-06,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2500,2800,140,120,100,62,4,32000,false
d06-reddit-paid-mobile-skeptical-value,2026-09-06,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2500,2800,140,120,100,66,5,40000,false
d06-reddit-paid-mobile-exploring-traceability,2026-09-06,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2500,2800,140,120,100,31,2,16000,false
d06-reddit-paid-mobile-exploring-value,2026-09-06,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2500,2800,140,120,100,35,2,16000,false
d06-reddit-paid-desktop-skeptical-traceability,2026-09-06,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2500,2400,120,100,80,40,3,24000,false
d06-reddit-paid-desktop-skeptical-value,2026-09-06,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2500,2400,120,100,80,42,3,24000,false
d06-reddit-paid-desktop-exploring-traceability,2026-09-06,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2500,2400,120,100,80,32,2,16000,false
d06-reddit-paid-desktop-exploring-value,2026-09-06,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2500,2400,120,100,80,34,2,16000,false
d07-google-search-mobile-skeptical-traceability,2026-09-07,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3100,2520,140,120,100,54,4,32000,false
d07-google-search-mobile-skeptical-value,2026-09-07,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3100,2520,140,120,100,58,4,32000,false
d07-google-search-mobile-exploring-traceability,2026-09-07,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3100,2520,140,120,100,25,2,16000,false
d07-google-search-mobile-exploring-value,2026-09-07,UK,google-search,gl-uk-google-search,mobile,exploring,value,3100,2520,140,120,100,29,2,16000,false
d07-google-search-desktop-skeptical-traceability,2026-09-07,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3100,2160,120,100,80,38,3,24000,false
d07-google-search-desktop-skeptical-value,2026-09-07,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3100,2160,120,100,80,40,3,24000,false
d07-google-search-desktop-exploring-traceability,2026-09-07,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3100,2160,120,100,80,30,2,16000,false
d07-google-search-desktop-exploring-value,2026-09-07,UK,google-search,gl-uk-google-search,desktop,exploring,value,3100,2160,120,100,80,32,2,16000,false
d07-linkedin-mobile-skeptical-traceability,2026-09-07,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4100,2660,140,120,100,58,4,32000,false
d07-linkedin-mobile-skeptical-value,2026-09-07,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4100,2660,140,120,100,62,4,32000,false
d07-linkedin-mobile-exploring-traceability,2026-09-07,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4100,2660,140,120,100,28,2,16000,false
d07-linkedin-mobile-exploring-value,2026-09-07,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4100,2660,140,120,100,32,2,16000,false
d07-linkedin-desktop-skeptical-traceability,2026-09-07,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4100,2280,120,100,80,39,3,24000,false
d07-linkedin-desktop-skeptical-value,2026-09-07,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4100,2280,120,100,80,41,3,24000,false
d07-linkedin-desktop-exploring-traceability,2026-09-07,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4100,2280,120,100,80,31,2,16000,false
d07-linkedin-desktop-exploring-value,2026-09-07,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4100,2280,120,100,80,33,2,16000,false
d07-reddit-paid-mobile-skeptical-traceability,2026-09-07,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2600,2800,140,120,100,62,4,32000,false
d07-reddit-paid-mobile-skeptical-value,2026-09-07,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2600,2800,140,120,100,66,5,40000,false
d07-reddit-paid-mobile-exploring-traceability,2026-09-07,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2600,2800,140,120,100,31,2,16000,false
d07-reddit-paid-mobile-exploring-value,2026-09-07,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2600,2800,140,120,100,35,2,16000,false
d07-reddit-paid-desktop-skeptical-traceability,2026-09-07,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2600,2400,120,100,80,40,3,24000,false
d07-reddit-paid-desktop-skeptical-value,2026-09-07,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2600,2400,120,100,80,42,3,24000,false
d07-reddit-paid-desktop-exploring-traceability,2026-09-07,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2600,2400,120,100,80,32,2,16000,false
d07-reddit-paid-desktop-exploring-value,2026-09-07,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2600,2400,120,100,80,34,2,16000,false
d08-google-search-mobile-skeptical-traceability,2026-09-08,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3200,1620,90,70,50,22,1,8000,false
d08-google-search-mobile-skeptical-value,2026-09-08,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3200,1620,90,70,50,24,1,8000,false
d08-google-search-mobile-exploring-traceability,2026-09-08,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3200,3420,190,170,150,26,2,16000,false
d08-google-search-mobile-exploring-value,2026-09-08,UK,google-search,gl-uk-google-search,mobile,exploring,value,3200,3420,190,170,150,30,2,16000,false
d08-google-search-desktop-skeptical-traceability,2026-09-08,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3200,2520,140,120,100,47,3,24000,false
d08-google-search-desktop-skeptical-value,2026-09-08,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3200,2520,140,120,100,49,3,24000,false
d08-google-search-desktop-exploring-traceability,2026-09-08,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3200,1800,100,80,60,23,1,8000,false
d08-google-search-desktop-exploring-value,2026-09-08,UK,google-search,gl-uk-google-search,desktop,exploring,value,3200,1800,100,80,60,25,2,16000,false
d08-linkedin-mobile-skeptical-traceability,2026-09-08,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4200,1710,90,70,50,24,1,8000,false
d08-linkedin-mobile-skeptical-value,2026-09-08,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4200,1710,90,70,50,26,2,16000,false
d08-linkedin-mobile-exploring-traceability,2026-09-08,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4200,3610,190,170,150,29,2,16000,false
d08-linkedin-mobile-exploring-value,2026-09-08,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4200,3610,190,170,150,33,2,16000,false
d08-linkedin-desktop-skeptical-traceability,2026-09-08,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4200,2660,140,120,100,48,3,24000,false
d08-linkedin-desktop-skeptical-value,2026-09-08,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4200,2660,140,120,100,50,4,32000,false
d08-linkedin-desktop-exploring-traceability,2026-09-08,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4200,1900,100,80,60,24,1,8000,false
d08-linkedin-desktop-exploring-value,2026-09-08,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4200,1900,100,80,60,26,2,16000,false
d08-reddit-paid-mobile-skeptical-traceability,2026-09-08,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2700,1800,90,70,50,26,2,16000,false
d08-reddit-paid-mobile-skeptical-value,2026-09-08,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2700,1800,90,70,50,28,2,16000,false
d08-reddit-paid-mobile-exploring-traceability,2026-09-08,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2700,3800,190,170,150,32,2,16000,false
d08-reddit-paid-mobile-exploring-value,2026-09-08,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2700,3800,190,170,150,36,2,16000,false
d08-reddit-paid-desktop-skeptical-traceability,2026-09-08,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2700,2800,140,120,100,49,3,24000,false
d08-reddit-paid-desktop-skeptical-value,2026-09-08,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2700,2800,140,120,100,51,4,32000,false
d08-reddit-paid-desktop-exploring-traceability,2026-09-08,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2700,2000,100,80,60,25,2,16000,false
d08-reddit-paid-desktop-exploring-value,2026-09-08,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2700,2000,100,80,60,27,2,16000,false
d09-google-search-mobile-skeptical-traceability,2026-09-09,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3000,1620,90,70,50,22,1,8000,false
d09-google-search-mobile-skeptical-value,2026-09-09,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3000,1620,90,70,50,24,1,8000,false
d09-google-search-mobile-exploring-traceability,2026-09-09,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3000,3420,190,170,150,26,2,16000,false
d09-google-search-mobile-exploring-value,2026-09-09,UK,google-search,gl-uk-google-search,mobile,exploring,value,3000,3420,190,170,150,30,2,16000,false
d09-google-search-desktop-skeptical-traceability,2026-09-09,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3000,2520,140,120,100,47,3,24000,false
d09-google-search-desktop-skeptical-value,2026-09-09,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3000,2520,140,120,100,49,3,24000,false
d09-google-search-desktop-exploring-traceability,2026-09-09,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3000,1800,100,80,60,23,1,8000,false
d09-google-search-desktop-exploring-value,2026-09-09,UK,google-search,gl-uk-google-search,desktop,exploring,value,3000,1800,100,80,60,25,2,16000,false
d09-linkedin-mobile-skeptical-traceability,2026-09-09,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4000,1710,90,70,50,24,1,8000,false
d09-linkedin-mobile-skeptical-value,2026-09-09,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4000,1710,90,70,50,26,2,16000,false
d09-linkedin-mobile-exploring-traceability,2026-09-09,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4000,3610,190,170,150,29,2,16000,false
d09-linkedin-mobile-exploring-value,2026-09-09,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4000,3610,190,170,150,33,2,16000,false
d09-linkedin-desktop-skeptical-traceability,2026-09-09,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4000,2660,140,120,100,48,3,24000,false
d09-linkedin-desktop-skeptical-value,2026-09-09,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4000,2660,140,120,100,50,4,32000,false
d09-linkedin-desktop-exploring-traceability,2026-09-09,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4000,1900,100,80,60,24,1,8000,false
d09-linkedin-desktop-exploring-value,2026-09-09,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4000,1900,100,80,60,26,2,16000,false
d09-reddit-paid-mobile-skeptical-traceability,2026-09-09,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2500,1800,90,70,50,26,2,16000,false
d09-reddit-paid-mobile-skeptical-value,2026-09-09,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2500,1800,90,70,50,28,2,16000,false
d09-reddit-paid-mobile-exploring-traceability,2026-09-09,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2500,3800,190,170,150,32,2,16000,false
d09-reddit-paid-mobile-exploring-value,2026-09-09,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2500,3800,190,170,150,36,2,16000,false
d09-reddit-paid-desktop-skeptical-traceability,2026-09-09,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2500,2800,140,120,100,49,3,24000,false
d09-reddit-paid-desktop-skeptical-value,2026-09-09,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2500,2800,140,120,100,51,4,32000,false
d09-reddit-paid-desktop-exploring-traceability,2026-09-09,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2500,2000,100,80,60,25,2,16000,false
d09-reddit-paid-desktop-exploring-value,2026-09-09,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2500,2000,100,80,60,27,2,16000,false
d10-google-search-mobile-skeptical-traceability,2026-09-10,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3100,1620,90,70,50,22,1,8000,false
d10-google-search-mobile-skeptical-value,2026-09-10,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3100,1620,90,70,50,24,1,8000,false
d10-google-search-mobile-exploring-traceability,2026-09-10,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3100,3420,190,170,150,26,2,16000,false
d10-google-search-mobile-exploring-value,2026-09-10,UK,google-search,gl-uk-google-search,mobile,exploring,value,3100,3420,190,170,150,30,2,16000,false
d10-google-search-desktop-skeptical-traceability,2026-09-10,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3100,2520,140,120,100,47,3,24000,false
d10-google-search-desktop-skeptical-value,2026-09-10,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3100,2520,140,120,100,49,3,24000,false
d10-google-search-desktop-exploring-traceability,2026-09-10,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3100,1800,100,80,60,23,1,8000,false
d10-google-search-desktop-exploring-value,2026-09-10,UK,google-search,gl-uk-google-search,desktop,exploring,value,3100,1800,100,80,60,25,2,16000,false
d10-linkedin-mobile-skeptical-traceability,2026-09-10,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4100,1710,90,70,50,24,1,8000,false
d10-linkedin-mobile-skeptical-value,2026-09-10,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4100,1710,90,70,50,26,2,16000,false
d10-linkedin-mobile-exploring-traceability,2026-09-10,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4100,3610,190,170,150,29,2,16000,false
d10-linkedin-mobile-exploring-value,2026-09-10,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4100,3610,190,170,150,33,2,16000,false
d10-linkedin-desktop-skeptical-traceability,2026-09-10,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4100,2660,140,120,100,48,3,24000,false
d10-linkedin-desktop-skeptical-value,2026-09-10,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4100,2660,140,120,100,50,4,32000,false
d10-linkedin-desktop-exploring-traceability,2026-09-10,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4100,1900,100,80,60,24,1,8000,false
d10-linkedin-desktop-exploring-value,2026-09-10,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4100,1900,100,80,60,26,2,16000,false
d10-reddit-paid-mobile-skeptical-traceability,2026-09-10,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2600,1800,90,70,50,26,2,16000,false
d10-reddit-paid-mobile-skeptical-value,2026-09-10,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2600,1800,90,70,50,28,2,16000,false
d10-reddit-paid-mobile-exploring-traceability,2026-09-10,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2600,3800,190,170,150,32,2,16000,false
d10-reddit-paid-mobile-exploring-value,2026-09-10,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2600,3800,190,170,150,36,2,16000,false
d10-reddit-paid-desktop-skeptical-traceability,2026-09-10,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2600,2800,140,120,100,49,3,24000,false
d10-reddit-paid-desktop-skeptical-value,2026-09-10,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2600,2800,140,120,100,51,4,32000,false
d10-reddit-paid-desktop-exploring-traceability,2026-09-10,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2600,2000,100,80,60,25,2,16000,false
d10-reddit-paid-desktop-exploring-value,2026-09-10,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2600,2000,100,80,60,27,2,16000,false
d11-google-search-mobile-skeptical-traceability,2026-09-11,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3200,1620,90,70,50,22,1,8000,false
d11-google-search-mobile-skeptical-value,2026-09-11,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3200,1620,90,70,50,24,1,8000,false
d11-google-search-mobile-exploring-traceability,2026-09-11,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3200,3420,190,170,150,26,2,16000,false
d11-google-search-mobile-exploring-value,2026-09-11,UK,google-search,gl-uk-google-search,mobile,exploring,value,3200,3420,190,170,150,30,2,16000,false
d11-google-search-desktop-skeptical-traceability,2026-09-11,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3200,2520,140,120,100,47,3,24000,false
d11-google-search-desktop-skeptical-value,2026-09-11,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3200,2520,140,120,100,49,3,24000,false
d11-google-search-desktop-exploring-traceability,2026-09-11,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3200,1800,100,80,60,23,1,8000,false
d11-google-search-desktop-exploring-value,2026-09-11,UK,google-search,gl-uk-google-search,desktop,exploring,value,3200,1800,100,80,60,25,2,16000,false
d11-linkedin-mobile-skeptical-traceability,2026-09-11,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4200,1710,90,70,50,24,1,8000,false
d11-linkedin-mobile-skeptical-value,2026-09-11,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4200,1710,90,70,50,26,2,16000,false
d11-linkedin-mobile-exploring-traceability,2026-09-11,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4200,3610,190,170,150,29,2,16000,false
d11-linkedin-mobile-exploring-value,2026-09-11,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4200,3610,190,170,150,33,2,16000,false
d11-linkedin-desktop-skeptical-traceability,2026-09-11,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4200,2660,140,120,100,48,3,24000,false
d11-linkedin-desktop-skeptical-value,2026-09-11,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4200,2660,140,120,100,50,4,32000,false
d11-linkedin-desktop-exploring-traceability,2026-09-11,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4200,1900,100,80,60,24,1,8000,false
d11-linkedin-desktop-exploring-value,2026-09-11,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4200,1900,100,80,60,26,2,16000,false
d11-reddit-paid-mobile-skeptical-traceability,2026-09-11,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2700,1800,90,70,50,26,2,16000,false
d11-reddit-paid-mobile-skeptical-value,2026-09-11,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2700,1800,90,70,50,28,2,16000,false
d11-reddit-paid-mobile-exploring-traceability,2026-09-11,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2700,3800,190,170,150,32,2,16000,false
d11-reddit-paid-mobile-exploring-value,2026-09-11,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2700,3800,190,170,150,36,2,16000,false
d11-reddit-paid-desktop-skeptical-traceability,2026-09-11,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2700,2800,140,120,100,49,3,24000,false
d11-reddit-paid-desktop-skeptical-value,2026-09-11,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2700,2800,140,120,100,51,4,32000,false
d11-reddit-paid-desktop-exploring-traceability,2026-09-11,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2700,2000,100,80,60,25,2,16000,false
d11-reddit-paid-desktop-exploring-value,2026-09-11,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2700,2000,100,80,60,27,2,16000,false
d12-google-search-mobile-skeptical-traceability,2026-09-12,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3000,1620,90,70,50,22,1,8000,false
d12-google-search-mobile-skeptical-value,2026-09-12,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3000,1620,90,70,50,24,1,8000,false
d12-google-search-mobile-exploring-traceability,2026-09-12,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3000,3420,190,170,150,26,2,16000,false
d12-google-search-mobile-exploring-value,2026-09-12,UK,google-search,gl-uk-google-search,mobile,exploring,value,3000,3420,190,170,150,30,2,16000,false
d12-google-search-desktop-skeptical-traceability,2026-09-12,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3000,2520,140,120,100,47,3,24000,false
d12-google-search-desktop-skeptical-value,2026-09-12,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3000,2520,140,120,100,49,3,24000,false
d12-google-search-desktop-exploring-traceability,2026-09-12,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3000,1800,100,80,60,23,1,8000,false
d12-google-search-desktop-exploring-value,2026-09-12,UK,google-search,gl-uk-google-search,desktop,exploring,value,3000,1800,100,80,60,25,2,16000,false
d12-linkedin-mobile-skeptical-traceability,2026-09-12,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4000,1710,90,70,50,24,1,8000,false
d12-linkedin-mobile-skeptical-value,2026-09-12,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4000,1710,90,70,50,26,2,16000,false
d12-linkedin-mobile-exploring-traceability,2026-09-12,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4000,3610,190,170,150,29,2,16000,false
d12-linkedin-mobile-exploring-value,2026-09-12,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4000,3610,190,170,150,33,2,16000,false
d12-linkedin-desktop-skeptical-traceability,2026-09-12,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4000,2660,140,120,100,48,3,24000,false
d12-linkedin-desktop-skeptical-value,2026-09-12,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4000,2660,140,120,100,50,4,32000,false
d12-linkedin-desktop-exploring-traceability,2026-09-12,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4000,1900,100,80,60,24,1,8000,false
d12-linkedin-desktop-exploring-value,2026-09-12,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4000,1900,100,80,60,26,2,16000,false
d12-reddit-paid-mobile-skeptical-traceability,2026-09-12,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2500,1800,90,70,50,26,2,16000,false
d12-reddit-paid-mobile-skeptical-value,2026-09-12,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2500,1800,90,70,50,28,2,16000,false
d12-reddit-paid-mobile-exploring-traceability,2026-09-12,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2500,3800,190,170,150,32,2,16000,false
d12-reddit-paid-mobile-exploring-value,2026-09-12,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2500,3800,190,170,150,36,2,16000,false
d12-reddit-paid-desktop-skeptical-traceability,2026-09-12,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2500,2800,140,120,100,49,3,24000,false
d12-reddit-paid-desktop-skeptical-value,2026-09-12,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2500,2800,140,120,100,51,4,32000,false
d12-reddit-paid-desktop-exploring-traceability,2026-09-12,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2500,2000,100,80,60,25,2,16000,false
d12-reddit-paid-desktop-exploring-value,2026-09-12,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2500,2000,100,80,60,27,2,16000,false
d13-google-search-mobile-skeptical-traceability,2026-09-13,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3100,1620,90,70,50,22,1,8000,false
d13-google-search-mobile-skeptical-value,2026-09-13,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3100,1620,90,70,50,24,1,8000,false
d13-google-search-mobile-exploring-traceability,2026-09-13,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3100,3420,190,170,150,26,2,16000,false
d13-google-search-mobile-exploring-value,2026-09-13,UK,google-search,gl-uk-google-search,mobile,exploring,value,3100,3420,190,170,150,30,2,16000,false
d13-google-search-desktop-skeptical-traceability,2026-09-13,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3100,2520,140,120,100,47,3,24000,false
d13-google-search-desktop-skeptical-value,2026-09-13,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3100,2520,140,120,100,49,3,24000,false
d13-google-search-desktop-exploring-traceability,2026-09-13,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3100,1800,100,80,60,23,1,8000,false
d13-google-search-desktop-exploring-value,2026-09-13,UK,google-search,gl-uk-google-search,desktop,exploring,value,3100,1800,100,80,60,25,2,16000,false
d13-linkedin-mobile-skeptical-traceability,2026-09-13,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4100,1710,90,70,50,24,1,8000,false
d13-linkedin-mobile-skeptical-value,2026-09-13,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4100,1710,90,70,50,26,2,16000,false
d13-linkedin-mobile-exploring-traceability,2026-09-13,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4100,3610,190,170,150,29,2,16000,false
d13-linkedin-mobile-exploring-value,2026-09-13,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4100,3610,190,170,150,33,2,16000,false
d13-linkedin-desktop-skeptical-traceability,2026-09-13,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4100,2660,140,120,100,48,3,24000,false
d13-linkedin-desktop-skeptical-value,2026-09-13,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4100,2660,140,120,100,50,4,32000,false
d13-linkedin-desktop-exploring-traceability,2026-09-13,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4100,1900,100,80,60,24,1,8000,false
d13-linkedin-desktop-exploring-value,2026-09-13,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4100,1900,100,80,60,26,2,16000,false
d13-reddit-paid-mobile-skeptical-traceability,2026-09-13,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2600,1800,90,70,50,26,2,16000,false
d13-reddit-paid-mobile-skeptical-value,2026-09-13,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2600,1800,90,70,50,28,2,16000,false
d13-reddit-paid-mobile-exploring-traceability,2026-09-13,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2600,3800,190,170,150,32,2,16000,false
d13-reddit-paid-mobile-exploring-value,2026-09-13,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2600,3800,190,170,150,36,2,16000,false
d13-reddit-paid-desktop-skeptical-traceability,2026-09-13,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2600,2800,140,120,100,49,3,24000,false
d13-reddit-paid-desktop-skeptical-value,2026-09-13,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2600,2800,140,120,100,51,4,32000,false
d13-reddit-paid-desktop-exploring-traceability,2026-09-13,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2600,2000,100,80,60,25,2,16000,false
d13-reddit-paid-desktop-exploring-value,2026-09-13,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2600,2000,100,80,60,27,2,16000,false
d14-google-search-mobile-skeptical-traceability,2026-09-14,UK,google-search,gl-uk-google-search,mobile,skeptical,traceability,3200,1620,90,70,50,22,1,8000,false
d14-google-search-mobile-skeptical-value,2026-09-14,UK,google-search,gl-uk-google-search,mobile,skeptical,value,3200,1620,90,70,50,24,1,8000,false
d14-google-search-mobile-exploring-traceability,2026-09-14,UK,google-search,gl-uk-google-search,mobile,exploring,traceability,3200,3420,190,170,150,26,2,16000,false
d14-google-search-mobile-exploring-value,2026-09-14,UK,google-search,gl-uk-google-search,mobile,exploring,value,3200,3420,190,170,150,30,2,16000,false
d14-google-search-desktop-skeptical-traceability,2026-09-14,UK,google-search,gl-uk-google-search,desktop,skeptical,traceability,3200,2520,140,120,100,47,3,24000,false
d14-google-search-desktop-skeptical-value,2026-09-14,UK,google-search,gl-uk-google-search,desktop,skeptical,value,3200,2520,140,120,100,49,3,24000,false
d14-google-search-desktop-exploring-traceability,2026-09-14,UK,google-search,gl-uk-google-search,desktop,exploring,traceability,3200,1800,100,80,60,23,1,8000,false
d14-google-search-desktop-exploring-value,2026-09-14,UK,google-search,gl-uk-google-search,desktop,exploring,value,3200,1800,100,80,60,25,2,16000,false
d14-linkedin-mobile-skeptical-traceability,2026-09-14,UK,linkedin,gl-uk-linkedin,mobile,skeptical,traceability,4200,1710,90,70,50,24,1,8000,false
d14-linkedin-mobile-skeptical-value,2026-09-14,UK,linkedin,gl-uk-linkedin,mobile,skeptical,value,4200,1710,90,70,50,26,2,16000,false
d14-linkedin-mobile-exploring-traceability,2026-09-14,UK,linkedin,gl-uk-linkedin,mobile,exploring,traceability,4200,3610,190,170,150,29,2,16000,false
d14-linkedin-mobile-exploring-value,2026-09-14,UK,linkedin,gl-uk-linkedin,mobile,exploring,value,4200,3610,190,170,150,33,2,16000,false
d14-linkedin-desktop-skeptical-traceability,2026-09-14,UK,linkedin,gl-uk-linkedin,desktop,skeptical,traceability,4200,2660,140,120,100,48,3,24000,false
d14-linkedin-desktop-skeptical-value,2026-09-14,UK,linkedin,gl-uk-linkedin,desktop,skeptical,value,4200,2660,140,120,100,50,4,32000,false
d14-linkedin-desktop-exploring-traceability,2026-09-14,UK,linkedin,gl-uk-linkedin,desktop,exploring,traceability,4200,1900,100,80,60,24,1,8000,false
d14-linkedin-desktop-exploring-value,2026-09-14,UK,linkedin,gl-uk-linkedin,desktop,exploring,value,4200,1900,100,80,60,26,2,16000,false
d14-reddit-paid-mobile-skeptical-traceability,2026-09-14,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,traceability,2700,1800,90,70,50,26,2,16000,false
d14-reddit-paid-mobile-skeptical-value,2026-09-14,UK,reddit-paid,gl-uk-reddit-paid,mobile,skeptical,value,2700,1800,90,70,50,28,2,16000,false
d14-reddit-paid-mobile-exploring-traceability,2026-09-14,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,traceability,2700,3800,190,170,150,32,2,16000,false
d14-reddit-paid-mobile-exploring-value,2026-09-14,UK,reddit-paid,gl-uk-reddit-paid,mobile,exploring,value,2700,3800,190,170,150,36,2,16000,false
d14-reddit-paid-desktop-skeptical-traceability,2026-09-14,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,traceability,2700,2800,140,120,100,49,3,24000,false
d14-reddit-paid-desktop-skeptical-value,2026-09-14,UK,reddit-paid,gl-uk-reddit-paid,desktop,skeptical,value,2700,2800,140,120,100,51,4,32000,false
d14-reddit-paid-desktop-exploring-traceability,2026-09-14,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,traceability,2700,2000,100,80,60,25,2,16000,false
d14-reddit-paid-desktop-exploring-value,2026-09-14,UK,reddit-paid,gl-uk-reddit-paid,desktop,exploring,value,2700,2000,100,80,60,27,2,16000,false
## Attached file: data/campaigns.csv
campaign_id,campaign_name,display_name,channel
gl-uk-google-search,GreenLeaf_GoogleSearch_UK_Quiz_202609,GreenLeaf UK Search,google-search
gl-uk-linkedin,GreenLeaf_LinkedIn_UK_Quiz_202609,GreenLeaf UK LinkedIn,linkedin
gl-uk-reddit-paid,GreenLeaf_RedditPaid_UK_Quiz_202609,GreenLeaf UK Reddit paid,reddit-paid
## Attached file: data/creatives.csv
channel,creative_id,format,message,status
google-search,traceability,text-ad,Know what is in every serving,illustrative-unvalidated-hypothesis
google-search,value,text-ad,Compare the value of a clearly dosed serving,illustrative-unvalidated-hypothesis
linkedin,traceability,sponsored-feed,Know what is in every serving,illustrative-unvalidated-hypothesis
linkedin,value,sponsored-feed,Compare the value of a clearly dosed serving,illustrative-unvalidated-hypothesis
reddit-paid,traceability,promoted-post,Know what is in every serving,illustrative-unvalidated-hypothesis
reddit-paid,value,promoted-post,Compare the value of a clearly dosed serving,illustrative-unvalidated-hypothesis
Respons tindak lanjut
# Mobile Composition Follow-Up
## 1. Stratum-by-stratum table
All 12 mobile strata use the channel × audience × creative dimensions from the dictionary. Week 1 and Week 2 counts are summed across the seven days in each period.
| # | Channel | Audience | Creative | W1 Starts | W1 Comps | W1 Rate | W2 Starts | W2 Comps | W2 Rate | W1 Weight |
|---:|---|---|---|---:|---:|---:|---:|---:|---:|---:|
| 1 | Google Search | Skeptical | Traceability | 700 | 378 | 54.0% | 350 | 154 | 44.0% | 0.0833 |
| 2 | Google Search | Skeptical | Value | 700 | 406 | 58.0% | 350 | 168 | 48.0% | 0.0833 |
| 3 | Google Search | Exploring | Traceability | 700 | 175 | 25.0% | 1,050 | 182 | 17.3% | 0.0833 |
| 4 | Google Search | Exploring | Value | 700 | 203 | 29.0% | 1,050 | 210 | 20.0% | 0.0833 |
| 5 | LinkedIn | Skeptical | Traceability | 700 | 406 | 58.0% | 350 | 168 | 48.0% | 0.0833 |
| 6 | LinkedIn | Skeptical | Value | 700 | 434 | 62.0% | 350 | 182 | 52.0% | 0.0833 |
| 7 | LinkedIn | Exploring | Traceability | 700 | 196 | 28.0% | 1,050 | 203 | 19.3% | 0.0833 |
| 8 | LinkedIn | Exploring | Value | 700 | 224 | 32.0% | 1,050 | 231 | 22.0% | 0.0833 |
| 9 | Reddit Paid | Skeptical | Traceability | 700 | 434 | 62.0% | 350 | 182 | 52.0% | 0.0833 |
| 10 | Reddit Paid | Skeptical | Value | 700 | 462 | 66.0% | 350 | 196 | 56.0% | 0.0833 |
| 11 | Reddit Paid | Exploring | Traceability | 700 | 217 | 31.0% | 1,050 | 224 | 21.3% | 0.0833 |
| 12 | Reddit Paid | Exploring | Value | 700 | 245 | 35.0% | 1,050 | 245 | 23.3% | 0.0833 |
| **Total** | | | | **8,400** | **3,780** | **45.0%** | **8,400** | **2,360** | **28.1%** | **1.0000** |
### Arithmetic checks
Week 1 totals:
```text
W1 starts = 12 × 700 = 8,400
W1 comps = 378 + 406 + 175 + 203 + 406 + 434 + 196 + 224 + 434 + 462 + 217 + 245
= 3,780
W1 rate = 3,780 / 8,400 = 0.45 = 45.0%
```
Week 2 starts are not uniform at 700 per stratum. The CSV pattern gives:
- Skeptical mobile strata: 50 starts per day × 7 days = **350**
- Exploring mobile traceability and value strata: 150 starts per day × 7 days = **1,050**
```text
W2 skeptical starts = 6 strata × 350 = 2,100
W2 exploring starts = 6 strata × 1,050 = 6,300
W2 starts = 2,100 + 6,300 = 8,400
```
This matches the dictionary’s aggregate mobile start total for Week 2. The rates in the table are calculated from these counts, e.g.:
```text
Google / skeptical / traceability W2:
154 / 350 = 0.4400 = 44.0%
Google / exploring / traceability W2:
182 / 1,050 = 0.17333… = 17.3%
```
## 2. Week 1 weights
Week 1 weights are each stratum’s Week 1 starts divided by total Week 1 mobile starts.
Because every Week 1 stratum has 700 starts and total Week 1 starts are 8,400:
```text
weight for each stratum = 700 / 8,400 = 1 / 12 = 0.083333…
```
Sum of weights:
```text
12 × (1 / 12) = 1.0000
```
No zero-weight or missing-weight stratum is present.
## 3. Weighted Week 2 contribution
The fixed-mix Week 2 rate uses **Week 1 weights** multiplied by each stratum’s **Week 2 completion rate**.
| # | W1 Weight | W2 Rate | Weighted W2 Contribution |
|---:|---:|---:|---:|
| 1 | 0.083333 | 44.0% | 3.6667% |
| 2 | 0.083333 | 48.0% | 4.0000% |
| 3 | 0.083333 | 17.3333% | 1.4433% |
| 4 | 0.083333 | 20.0% | 1.6667% |
| 5 | 0.083333 | 48.0% | 4.0000% |
| 6 | 0.083333 | 52.0% | 4.3333% |
| 7 | 0.083333 | 19.3333% | 1.6111% |
| 8 | 0.083333 | 22.0% | 1.8333% |
| 9 | 0.083333 | 52.0% | 4.3333% |
| 10 | 0.083333 | 56.0% | 4.6667% |
| 11 | 0.083333 | 21.3333% | 1.7778% |
| 12 | 0.083333 | 23.3333% | 1.9444% |
| **Total** | **1.000000** | | **35.2767%** |
Using unrounded Week 2 rates:
```text
Google / skeptical / traceability:
154 / 350 = 0.44
Google / exploring / traceability:
182 / 1,050 = 0.173333…
```
The weighted total is approximately:
```text
35.3%
```
Therefore the comparison is:
| Measure | Week 2 mobile completion |
|---|---:|
| Observed Week 2 rate | **28.1%** |
| Fixed Week 1 mix applied to Week 2 | **35.3%** |
The two are not equal, so composition matters, but the fixed-mix rate is still far below Week 1’s **45.0%**.
## 4. What this comparison does and does not imply
### What it does
- It separates the observed Week 2 mobile rate into two parts:
- the effect of changing stratum mix, and
- the effect of within-stratum rate movement.
- It shows that if Week 2 had preserved the Week 1 stratum mix, the Week 2 mobile completion rate would have been about **35.3%**, not **28.1%**.
- It quantifies the composition effect as roughly:
```text
35.3% − 28.1% ≈ 7.2 percentage points
```
This means part of the observed Week 2 decline is attributable to mobile starts shifting toward lower-completing `exploring` strata and away from higher-completing `skeptical` strata.
### What it does not imply
- It **does not** imply that the remaining decline from Week 1’s 45.0% to the fixed-mix 35.3% is explained by product failure.
- It **does not** show that within-stratum movement has a single cause.
- It **does not** prove that the `exploring` audience performed worse because of the message.
- It **does not** establish causality for either composition change or within-stratum change.
- It **does not** mean the Week 2 aggregate decline is unimportant. Even with fixed Week 1 mix, Week 2 was about **9.7 percentage points below the Week 1 fixed-mix rate**:
```text
45.0% − 35.3% ≈ 9.7 pp
```
The within-stratum drop is still the larger component.
## 5. Arithmetic uncertainty
The table uses counts summed by hand from the supplied CSV structure. I did not execute code. The following should be rechecked in the final reviewed draft:
- exact duplicate row removal and alias normalization;
- exact Week 2 starts for each mobile stratum;
- decimal retention in weighted contributions;
- whether any zero-denominator stratum should be marked unavailable.
The broad conclusion is unlikely to change from small corrections: **both composition and within-stratum movement contributed to the mobile decline; within-stratum movement was the larger contributor.**
## 6. Next evidence needed
To move from composition arithmetic to a defensible explanation, the next evidence is:
1. **Timestamped event-level data** for mobile quiz starts and completions, matched to cohort date and source tag.
2. **Release/QA log** covering the mobile landing page and quiz between Week 1 and Week 2.
3. **Device-level landing-session detail** to verify whether mobile starts became less likely to complete at the same quiz stage.
4. **Audience bucket definitions** to confirm whether `skeptical` and `exploring` shares changed because of targeting/auction changes or because the reporting buckets themselves changed.
Only after those are available can the team test whether the remaining within-stratum mobile drop is a journey problem, a measurement break, or a real behavioral shift.Prompt tindak lanjut
Focused follow-up: quantify the mobile composition question. Show all 12 channel/audience/creative strata with Week 1/2 starts, completions and rates, Week 1 weights, and the weighted Week 2 contribution. State observed Week 2 rate versus fixed Week 1 mix and what each does and does not imply. Recheck any arithmetic you cannot substantiate. Do not infer a product cause from this comparison. Keep this response focused on the calculation and the next evidence needed.Prompt produksi
Production pass: use ONLY the approved facts and decisions attached below. Format the Founder / CEO Summary, Media Team Analysis and Content & Creative Brief. Do not introduce new claims, calculations, causes, promises, budgets or actions. Then format the approved retrospective Detect → Analyze → Route → Review example including observation window, snapshot, earliest justified decision time, responsible role, cadence, expiry/escalation and human client-facing approval state. This is a static illustration with no live messages or automation. Keep unknown outcomes explicit.
## Attached file: en/review.md
# What changed in review
Fictional GreenLeaf UK, paid-click cohorts September 1–14, 2026; snapshot September 22, 23:59:59 UTC.
This record was prepared with AI-assisted editorial review and independently checked calculations.
It is **not a completed human approval, client review or controlled human-versus-AI experiment**.
The owner’s publication/release decision remains pending. Original model responses are unchanged.
## The decision before the wording
The first draft recommends diagnosis before a creative or budget pivot. That direction is reasonable,
but several numbers and the explanation are wrong. A plausible recommendation does not make its
supporting evidence safe to release.
| Initial draft statement | Checked evidence | Review decision |
|---|---|---|
| Spend was $110,100 in each week | Week 1: $5,462; Week 2: $5,512 | Reject both draft totals and every derived CPA/ROAS based on them |
| New customers were 548 → 482 | Canonical paid-cohort counts: 467 → 357 | Replace; these are attributed first purchases, not incremental subscribers |
| First-purchase revenue was $43,840 → $38,560 | $37,360 → $28,560 | Replace; no causal revenue-loss estimate follows |
| Mobile Week 2 had 2,360 completions | 2,352 / 8,400 = 28% | Replace the count/rate; retain Week 1’s checked 3,780 / 8,400 = 45% |
| Mobile audience/creative shares were stable and composition was essentially absent | Skeptical share of mobile starts: 50% → 25%; exploring: 50% → 75% | Reject the mix explanation |
| Fixed Week 1 mix gives roughly 35.3%–35.5% | Exactly 35⅓% before display rounding | Use 35.33%; state that both mix and within-group changes matter |
| Founder should freeze spend reallocation | The CSV alone does not establish what all commercial/risk decisions should be | Narrow to “do not recommend a budget move from this evidence alone”; retain existing authorized risk processes |
| A diagnostic succeeds if completion returns toward 45% | Returning to a target is not a causal test design | Require verified event definitions, version/cohort evidence and an explicit comparison plan |
All channel, desktop, audience and creative tables in the raw response remain **unapproved**. The
final editorial drafts use the checked metric pack instead. The model invocation was text-only,
without a calculation-execution tool. This is evidence about this run, not every AI analysis product.
## What the focused follow-up did
The second response recognizes the audience-mix shift and gives the correct Week 2 starts per
stratum: skeptical 350, exploring 1,050. It still reports 2,360 total completions, misstates the
Reddit/exploring/value cell as 245 rather than 252, and miscalculates a weighted contribution.
Use the recorded follow-up to inspect iteration; do not silently substitute it for verified math.
## Approved facts for the production draft
| Measure | Week 1 | Week 2 |
|---|---:|---:|
| All-paid media spend | $5,462 | $5,512 |
| All-paid quiz starts | 15,040 | 15,120 |
| All-paid quiz completions | 6,770 | 5,460 |
| Attributed first-purchase customers | 467 | 357 |
| Attributed first-purchase revenue | $37,360 | $28,560 |
| Media CPA | $11.70 | $15.44 |
| Attributed first-order ROAS | 6.84 | 5.18 |
| Mobile quiz starts | 8,400 | 8,400 |
| Mobile quiz completions | 3,780 | 2,352 |
| Mobile completion | 45% | 28% |
| Desktop completion | 45.03% | 46.25% |
Mobile change: −17 percentage points; approximately −37.8% relative. Fixed Week 1 channel ×
audience × creative weights give a Week 2 mobile rate of 35.33%. Under this particular baseline-weight
decomposition, the within-group component is −9.67 points and the remaining composition component
is −7.33 points. Another decomposition order can allocate interaction differently; this is descriptive,
not causal attribution. All 12 comparable mobile strata decline.
## New fictional context and its effect
The context note was prewritten and hashed before the run. It reports a mobile presentation revision
starting September 8 at 09:00 UTC and an unlinked support concern about finding the next-step control.
The release audit, rollout share, ticket counts and links to paid cohorts are missing.
**Verdict: revise the explanation and narrow the next action; confirm the diagnostic-first direction.**
Ask the product owner and media lead to verify the mobile journey and event definitions, request
version-assignment/release evidence, and compare like-for-like groups where evidence permits.
The product owner’s reported availability for a check in the next working day is fictional context,
not evidence that a check happened. A product cause, creative failure or revenue loss remains unknown.
Carry the report of the revision into brief v2 as **reported context pending verification**, never
as a confirmed cause. No automatic pause, spend change or external alert is approved.
## Instructions to the production pass
Preserve the approved table, uncertainty and decision above across three drafts:
- Founder/CEO: trajectory and the diagnostic decision, with at most three actions and role owners.
- Media: period/channel/device detail, the fixed-mix comparison and the investigation work order.
- Content/creative: keep message hypotheses distinct from proof; inspect post-click context before
proposing a message test. Do not present a causal creative winner or recommend media-budget changes.
For the retrospective alert: trigger on settled paid-mobile completion below the stated 45% target.
With end-of-day click cohorts and a seven-day observation rule, the full Week 2 comparison is first
justified September 21 at 23:59:59 UTC; the supplied snapshot is September 22 at 23:59:59 UTC.
Detect → Analyze → Route → Review is a static demonstration. Product owner/media lead own the
diagnostic; a measurement-competent reviewer with release authority owns client-facing approval.
No human approval or external delivery has occurred. Recheck the rule/context next cycle, and
escalate missing definitions or evidence to the marketing owner rather than issuing a firm claim.
## Provenance
Checked against the supplied reconciled CSV, independently reviewed deterministic calculations and
`data/analysis.json`. The raw initial and follow-up responses remain downloadable evidence. Numeric
claims in final editorial drafts must map to the claim ledger. “Approved” here means approved for
this AI-assisted editorial production pass; it does not stand in for the owner’s human release gate.
## Attached file: en/brief-v2.md
# GreenLeaf reporting brief v2 — carry the learning forward
**Status:** AI-assisted editorial draft; human publication/release approval pending. Fictional case,
not client-operating evidence. This is an additive update to [complete brief v1](brief-v1.md), not a
replacement with a shorter prompt. Read both together for the next cycle.
The business goals, KPI definitions, stakeholder responsibilities, attribution rules, target periods
and cadence in v1 remain unchanged. The new knowledge is separated by evidence class below.
## Checked data findings
- Paid-mobile completion is 3,780/8,400 = 45% in Week 1 and 2,352/8,400 = 28% in Week 2.
- The mobile skeptical/exploring starts mix changes from 50%/50% to 25%/75%.
- Using fixed Week 1 channel/audience/creative weights gives 35.33% for Week 2. Both composition and
within-group movement contribute descriptively; all 12 mobile strata decline. No cause is proved.
- The first text-only AI response and its focused follow-up contain arithmetic errors. Reuse the
checked metric pack and claim references, not unverified numbers from those responses.
## Reported fictional context — verification outstanding
The product owner reports a mobile quiz presentation revision beginning September 8 at 09:00 UTC.
The support lead reports difficulty finding the next control on a phone, without dates, counts or
linkage to paid cohorts. No deployment audit, rollout share or version-assignment evidence is supplied.
These reports prioritize an investigation; they are not verified release logs or a causal diagnosis.
## Next-cycle work order
| Owner role | Required evidence/action | Stop condition |
|---|---|---|
| Product owner | Reproduce the mobile flow and retrieve release/version/QA evidence | Missing assignment/logs prevents a version-specific causal claim |
| Media lead | Reconcile event meaning, cohort tagging and comparable device/audience/creative cuts | Inconsistent definitions or immature windows prevent a settled comparison |
| Content lead | Inspect message/post-click expectations after measurement/journey checks | No confirmed message problem means no claim of a winning or failed hook |
| Reviewer with current measurement knowledge and release authority | Check the decision and all stakeholder drafts before client-facing release | Approval absent means no external delivery |
## Hypotheses that must remain hypotheses
Presentation friction, tracking change, targeting/mix changes and other influences may contribute.
The support report does not establish prevalence or abandonment. No quiz-driven revenue loss,
incremental lift, profit, realized LTV, full CAC or monthly-business-target verdict has been established.
Revisit the context, rule and evidence requests at the next reporting cycle; remove stale assumptions
or keep them explicitly unresolved. Neither this update nor its reuse proves improved future output.
## Attached file: data/analysis.json
{
"window": {
"week1Start": "2026-09-01",
"week1End": "2026-09-07",
"week2Start": "2026-09-08",
"week2End": "2026-09-14",
"observationDays": 7,
"snapshot": "2026-09-22T23:59:59Z"
},
"comparisonStatus": "settled",
"periods": {
"week1": {
"spend_cents": 546200,
"impressions": 412560,
"clicks": 21720,
"landing_sessions": 18380,
"quiz_starts": 15040,
"quiz_completions": 6770,
"attributed_new_customers": 467,
"attributed_first_purchase_revenue_cents": 3736000,
"rows": 168,
"settled": true,
"quizCompletionRate": 0.45013297872340424,
"mediaCpaCents": 1169.593147751606,
"attributedFirstOrderRoas": 6.839985353350421,
"ctr": 0.052646887725421754,
"cpcCents": 25.147329650092082,
"cpmCents": 1323.9286406825674
},
"week2": {
"spend_cents": 551200,
"impressions": 414960,
"clicks": 21840,
"landing_sessions": 18480,
"quiz_starts": 15120,
"quiz_completions": 5460,
"attributed_new_customers": 357,
"attributed_first_purchase_revenue_cents": 2856000,
"rows": 168,
"settled": true,
"quizCompletionRate": 0.3611111111111111,
"mediaCpaCents": 1543.9775910364147,
"attributedFirstOrderRoas": 5.181422351233672,
"ctr": 0.05263157894736842,
"cpcCents": 25.238095238095237,
"cpmCents": 1328.3208020050126
}
},
"byChannel": {
"google-search": {
"week1": {
"spend_cents": 173600,
"impressions": 131040,
"clicks": 7280,
"landing_sessions": 6160,
"quiz_starts": 5040,
"quiz_completions": 2142,
"attributed_new_customers": 154,
"attributed_first_purchase_revenue_cents": 1232000,
"rows": 56,
"settled": true,
"quizCompletionRate": 0.425,
"mediaCpaCents": 1127.2727272727273,
"attributedFirstOrderRoas": 7.096774193548387,
"ctr": 0.05555555555555555,
"cpcCents": 23.846153846153847,
"cpmCents": 1324.7863247863247
},
"week2": {
"spend_cents": 174400,
"impressions": 131040,
"clicks": 7280,
"landing_sessions": 6160,
"quiz_starts": 5040,
"quiz_completions": 1722,
"attributed_new_customers": 105,
"attributed_first_purchase_revenue_cents": 840000,
"rows": 56,
"settled": true,
"quizCompletionRate": 0.3416666666666667,
"mediaCpaCents": 1660.952380952381,
"attributedFirstOrderRoas": 4.81651376146789,
"ctr": 0.05555555555555555,
"cpcCents": 23.956043956043956,
"cpmCents": 1330.8913308913309
}
},
"linkedin": {
"week1": {
"spend_cents": 229600,
"impressions": 138320,
"clicks": 7280,
"landing_sessions": 6160,
"quiz_starts": 5040,
"quiz_completions": 2268,
"attributed_new_customers": 154,
"attributed_first_purchase_revenue_cents": 1232000,
"rows": 56,
"settled": true,
"quizCompletionRate": 0.45,
"mediaCpaCents": 1490.909090909091,
"attributedFirstOrderRoas": 5.365853658536586,
"ctr": 0.05263157894736842,
"cpcCents": 31.53846153846154,
"cpmCents": 1659.919028340081
},
"week2": {
"spend_cents": 230400,
"impressions": 138320,
"clicks": 7280,
"landing_sessions": 6160,
"quiz_starts": 5040,
"quiz_completions": 1820,
"attributed_new_customers": 119,
"attributed_first_purchase_revenue_cents": 952000,
"rows": 56,
"settled": true,
"quizCompletionRate": 0.3611111111111111,
"mediaCpaCents": 1936.1344537815125,
"attributedFirstOrderRoas": 4.131944444444445,
"ctr": 0.05263157894736842,
"cpcCents": 31.64835164835165,
"cpmCents": 1665.7027183342973
}
},
"reddit-paid": {
"week1": {
"spend_cents": 143000,
"impressions": 143200,
"clicks": 7160,
"landing_sessions": 6060,
"quiz_starts": 4960,
"quiz_completions": 2360,
"attributed_new_customers": 159,
"attributed_first_purchase_revenue_cents": 1272000,
"rows": 56,
"settled": true,
"quizCompletionRate": 0.47580645161290325,
"mediaCpaCents": 899.37106918239,
"attributedFirstOrderRoas": 8.895104895104895,
"ctr": 0.05,
"cpcCents": 19.972067039106147,
"cpmCents": 998.6033519553073
},
"week2": {
"spend_cents": 146400,
"impressions": 145600,
"clicks": 7280,
"landing_sessions": 6160,
"quiz_starts": 5040,
"quiz_completions": 1918,
"attributed_new_customers": 133,
"attributed_first_purchase_revenue_cents": 1064000,
"rows": 56,
"settled": true,
"quizCompletionRate": 0.38055555555555554,
"mediaCpaCents": 1100.751879699248,
"attributedFirstOrderRoas": 7.26775956284153,
"ctr": 0.05,
"cpcCents": 20.10989010989011,
"cpmCents": 1005.4945054945055
}
}
},
"byCreative": {
"traceability": {
"week1": {
"spend_cents": 274400,
"impressions": 207480,
"clicks": 10920,
"landing_sessions": 9240,
"quiz_starts": 7560,
"quiz_completions": 3276,
"attributed_new_customers": 231,
"attributed_first_purchase_revenue_cents": 1848000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.43333333333333335,
"mediaCpaCents": 1187.878787878788,
"attributedFirstOrderRoas": 6.73469387755102,
"ctr": 0.05263157894736842,
"cpcCents": 25.128205128205128,
"cpmCents": 1322.5371120107961
},
"week2": {
"spend_cents": 275600,
"impressions": 207480,
"clicks": 10920,
"landing_sessions": 9240,
"quiz_starts": 7560,
"quiz_completions": 2625,
"attributed_new_customers": 161,
"attributed_first_purchase_revenue_cents": 1288000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.3472222222222222,
"mediaCpaCents": 1711.8012422360248,
"attributedFirstOrderRoas": 4.67343976777939,
"ctr": 0.05263157894736842,
"cpcCents": 25.238095238095237,
"cpmCents": 1328.3208020050126
}
},
"value": {
"week1": {
"spend_cents": 271800,
"impressions": 205080,
"clicks": 10800,
"landing_sessions": 9140,
"quiz_starts": 7480,
"quiz_completions": 3494,
"attributed_new_customers": 236,
"attributed_first_purchase_revenue_cents": 1888000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.46711229946524063,
"mediaCpaCents": 1151.6949152542372,
"attributedFirstOrderRoas": 6.946284032376748,
"ctr": 0.0526623756582797,
"cpcCents": 25.166666666666668,
"cpmCents": 1325.3364540667058
},
"week2": {
"spend_cents": 275600,
"impressions": 207480,
"clicks": 10920,
"landing_sessions": 9240,
"quiz_starts": 7560,
"quiz_completions": 2835,
"attributed_new_customers": 196,
"attributed_first_purchase_revenue_cents": 1568000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.375,
"mediaCpaCents": 1406.1224489795918,
"attributedFirstOrderRoas": 5.689404934687953,
"ctr": 0.05263157894736842,
"cpcCents": 25.238095238095237,
"cpmCents": 1328.3208020050126
}
}
},
"byAudience": {
"skeptical": {
"week1": {
"spend_cents": 274400,
"impressions": 207480,
"clicks": 10920,
"landing_sessions": 9240,
"quiz_starts": 7560,
"quiz_completions": 4200,
"attributed_new_customers": 301,
"attributed_first_purchase_revenue_cents": 2408000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.5555555555555556,
"mediaCpaCents": 911.6279069767442,
"attributedFirstOrderRoas": 8.775510204081632,
"ctr": 0.05263157894736842,
"cpcCents": 25.128205128205128,
"cpmCents": 1322.5371120107961
},
"week2": {
"spend_cents": 275600,
"impressions": 183540,
"clicks": 9660,
"landing_sessions": 7980,
"quiz_starts": 6300,
"quiz_completions": 3108,
"attributed_new_customers": 203,
"attributed_first_purchase_revenue_cents": 1624000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.49333333333333335,
"mediaCpaCents": 1357.6354679802955,
"attributedFirstOrderRoas": 5.8925979680696665,
"ctr": 0.05263157894736842,
"cpcCents": 28.530020703933747,
"cpmCents": 1501.5800370491445
}
},
"exploring": {
"week1": {
"spend_cents": 271800,
"impressions": 205080,
"clicks": 10800,
"landing_sessions": 9140,
"quiz_starts": 7480,
"quiz_completions": 2570,
"attributed_new_customers": 166,
"attributed_first_purchase_revenue_cents": 1328000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.34358288770053474,
"mediaCpaCents": 1637.3493975903614,
"attributedFirstOrderRoas": 4.885945548197204,
"ctr": 0.0526623756582797,
"cpcCents": 25.166666666666668,
"cpmCents": 1325.3364540667058
},
"week2": {
"spend_cents": 275600,
"impressions": 231420,
"clicks": 12180,
"landing_sessions": 10500,
"quiz_starts": 8820,
"quiz_completions": 2352,
"attributed_new_customers": 154,
"attributed_first_purchase_revenue_cents": 1232000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.26666666666666666,
"mediaCpaCents": 1789.6103896103896,
"attributedFirstOrderRoas": 4.470246734397678,
"ctr": 0.05263157894736842,
"cpcCents": 22.627257799671593,
"cpmCents": 1190.9083052458734
}
}
},
"byDevice": {
"mobile": {
"week1": {
"spend_cents": 274400,
"impressions": 223440,
"clicks": 11760,
"landing_sessions": 10080,
"quiz_starts": 8400,
"quiz_completions": 3780,
"attributed_new_customers": 259,
"attributed_first_purchase_revenue_cents": 2072000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.45,
"mediaCpaCents": 1059.4594594594594,
"attributedFirstOrderRoas": 7.551020408163265,
"ctr": 0.05263157894736842,
"cpcCents": 23.333333333333332,
"cpmCents": 1228.0701754385964
},
"week2": {
"spend_cents": 275600,
"impressions": 223440,
"clicks": 11760,
"landing_sessions": 10080,
"quiz_starts": 8400,
"quiz_completions": 2352,
"attributed_new_customers": 147,
"attributed_first_purchase_revenue_cents": 1176000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.28,
"mediaCpaCents": 1874.8299319727892,
"attributedFirstOrderRoas": 4.267053701015965,
"ctr": 0.05263157894736842,
"cpcCents": 23.435374149659864,
"cpmCents": 1233.44074471894
}
},
"desktop": {
"week1": {
"spend_cents": 271800,
"impressions": 189120,
"clicks": 9960,
"landing_sessions": 8300,
"quiz_starts": 6640,
"quiz_completions": 2990,
"attributed_new_customers": 208,
"attributed_first_purchase_revenue_cents": 1664000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.4503012048192771,
"mediaCpaCents": 1306.7307692307693,
"attributedFirstOrderRoas": 6.12214863870493,
"ctr": 0.05266497461928934,
"cpcCents": 27.289156626506024,
"cpmCents": 1437.1827411167512
},
"week2": {
"spend_cents": 275600,
"impressions": 191520,
"clicks": 10080,
"landing_sessions": 8400,
"quiz_starts": 6720,
"quiz_completions": 3108,
"attributed_new_customers": 210,
"attributed_first_purchase_revenue_cents": 1680000,
"rows": 84,
"settled": true,
"quizCompletionRate": 0.4625,
"mediaCpaCents": 1312.3809523809523,
"attributedFirstOrderRoas": 6.095791001451379,
"ctr": 0.05263157894736842,
"cpcCents": 27.341269841269842,
"cpmCents": 1439.014202172097
}
}
},
"mobile": {
"week1Rate": 0.45,
"week2Rate": 0.28,
"week1Starts": 8400,
"week2Starts": 8400,
"week1Completions": 3780,
"week2Completions": 2352,
"percentagePointChange": -17,
"relativeChange": -0.3777777777777777,
"comparableStrata": true,
"fixedMixWeek2Rate": 0.3533333333333334,
"strata": [
{
"key": "google-search/exploring/traceability",
"week1Starts": 700,
"week2Starts": 1050,
"week1Completions": 175,
"week2Completions": 182,
"week1Rate": 0.25,
"week2Rate": 0.17333333333333334,
"baselineWeight": 0.08333333333333333
},
{
"key": "google-search/exploring/value",
"week1Starts": 700,
"week2Starts": 1050,
"week1Completions": 203,
"week2Completions": 210,
"week1Rate": 0.29,
"week2Rate": 0.2,
"baselineWeight": 0.08333333333333333
},
{
"key": "google-search/skeptical/traceability",
"week1Starts": 700,
"week2Starts": 350,
"week1Completions": 378,
"week2Completions": 154,
"week1Rate": 0.54,
"week2Rate": 0.44,
"baselineWeight": 0.08333333333333333
},
{
"key": "google-search/skeptical/value",
"week1Starts": 700,
"week2Starts": 350,
"week1Completions": 406,
"week2Completions": 168,
"week1Rate": 0.58,
"week2Rate": 0.48,
"baselineWeight": 0.08333333333333333
},
{
"key": "linkedin/exploring/traceability",
"week1Starts": 700,
"week2Starts": 1050,
"week1Completions": 196,
"week2Completions": 203,
"week1Rate": 0.28,
"week2Rate": 0.19333333333333333,
"baselineWeight": 0.08333333333333333
},
{
"key": "linkedin/exploring/value",
"week1Starts": 700,
"week2Starts": 1050,
"week1Completions": 224,
"week2Completions": 231,
"week1Rate": 0.32,
"week2Rate": 0.22,
"baselineWeight": 0.08333333333333333
},
{
"key": "linkedin/skeptical/traceability",
"week1Starts": 700,
"week2Starts": 350,
"week1Completions": 406,
"week2Completions": 168,
"week1Rate": 0.58,
"week2Rate": 0.48,
"baselineWeight": 0.08333333333333333
},
{
"key": "linkedin/skeptical/value",
"week1Starts": 700,
"week2Starts": 350,
"week1Completions": 434,
"week2Completions": 182,
"week1Rate": 0.62,
"week2Rate": 0.52,
"baselineWeight": 0.08333333333333333
},
{
"key": "reddit-paid/exploring/traceability",
"week1Starts": 700,
"week2Starts": 1050,
"week1Completions": 217,
"week2Completions": 224,
"week1Rate": 0.31,
"week2Rate": 0.21333333333333335,
"baselineWeight": 0.08333333333333333
},
{
"key": "reddit-paid/exploring/value",
"week1Starts": 700,
"week2Starts": 1050,
"week1Completions": 245,
"week2Completions": 252,
"week1Rate": 0.35,
"week2Rate": 0.24,
"baselineWeight": 0.08333333333333333
},
{
"key": "reddit-paid/skeptical/traceability",
"week1Starts": 700,
"week2Starts": 350,
"week1Completions": 434,
"week2Completions": 182,
"week1Rate": 0.62,
"week2Rate": 0.52,
"baselineWeight": 0.08333333333333333
},
{
"key": "reddit-paid/skeptical/value",
"week1Starts": 700,
"week2Starts": 350,
"week1Completions": 462,
"week2Completions": 196,
"week1Rate": 0.66,
"week2Rate": 0.56,
"baselineWeight": 0.08333333333333333
}
]
},
"unavailable": [
"true-cac",
"incrementality",
"awareness",
"realized-ltv",
"profitability"
]
}
Respons produksi asli
# GreenLeaf Wellness UK — Production Reporting Draft
**Fictional teaching example.** Paid-click cohorts 2026-09-01 through 2026-09-14; snapshot 2026-09-22T23:59:59Z.
**Basis:** approved facts in `review.md`, `brief-v2.md`, and `analysis.json`.
**Release state:** AI-assisted editorial production pass only. No human approval, client review, or external delivery has occurred.
---
# 1. Founder / CEO Summary
## WHAT happened
Mobile quiz completion fell from **45% in Week 1** to **28% in Week 2**:
| Mobile metric | Week 1 | Week 2 |
|---|---:|---:|
| Quiz starts | 8,400 | 8,400 |
| Quiz completions | 3,780 | 2,352 |
| Completion rate | 45% | 28% |
That is −17 percentage points, approximately −37.8% relative.
The decline is not a mirage of device totals. It sits alongside a mobile audience-mix change: skeptical share of mobile starts fell from 50% to 25%, while exploring share rose from 50% to 75%. When Week 2 is reweighted using Week 1 channel × audience × creative weights, the mobile completion rate is **35.33%** rather than 28%. Both composition and within-group movement therefore contribute descriptively. All 12 mobile strata declined.
At the all-paid period level:
| Measure | Week 1 | Week 2 |
|---|---:|---:|
| All-paid media spend | $5,462 | $5,512 |
| All-paid quiz starts | 15,040 | 15,120 |
| All-paid quiz completions | 6,770 | 5,460 |
| Attributed first-purchase customers | 467 | 357 |
| Attributed first-purchase revenue | $37,360 | $28,560 |
| Media CPA | $11.70 | $15.44 |
| Attributed first-order ROAS | 6.84 | 5.18 |
Media CPA increased and attributed first-order ROAS declined between the two mature paid-cohort periods.
## WHY it matters
The quiz is the main early signal for UK consideration. A 17-point mobile completion decline means the launch is losing progress at the point where interested buyers should become qualified first-purchase candidates. The decline is broad across mobile strata, so the immediate priority is to establish whether the mobile post-click journey or measurement definition changed.
The financial picture is directionally weaker, but it remains **paid-cohort attributed first-purchase revenue only**. No profit, full CAC, incrementality, or all-channel monthly revenue conclusion is available.
## WHAT’S NEXT — at most three actions
1. **Do not recommend a budget move from this evidence alone.**
Owner: founder / marketing owner. Existing authorized risk and commercial processes remain the approval route.
2. **Verify the mobile journey and event definitions.**
Owner: product owner + media lead. Apply the diagnostic work order in Section 2.5. No version-specific causal claim is approved before release/version/QA evidence is supplied.
3. **Hold the diagnostic decision until role owners complete their checks.**
Owner: founder / marketing owner, with a measurement-competent reviewer holding client-facing release authority. No external or client-facing delivery has occurred.
**Unavailable and not to be inferred:** true CAC, incrementality, awareness, realized LTV, profitability, full-month revenue, and any causal revenue-loss estimate.
---
# 2. Media Team Analysis
## 2.1 Comparison status
| Item | Status |
|---|---|
| Week 1 dates | 2026-09-01 through 2026-09-07 |
| Week 2 dates | 2026-09-08 through 2026-09-14 |
| Observation window | 7 days post-click for each cohort |
| Snapshot | 2026-09-22T23:59:59Z |
| Comparison status | Settled |
## 2.2 Period totals
### All paid
| Measure | Week 1 | Week 2 |
|---|---:|---:|
| Spend | $5,462 | $5,512 |
| Impressions | 412,560 | 414,960 |
| Clicks | 21,720 | 21,840 |
| Landing sessions | 18,380 | 18,480 |
| Quiz starts | 15,040 | 15,120 |
| Quiz completions | 6,770 | 5,460 |
| Completion rate | 45.01% | 36.11% |
| Attributed first-purchase customers | 467 | 357 |
| Attributed first-purchase revenue | $37,360 | $28,560 |
| Media CPA | $11.70 | $15.44 |
| Attributed first-order ROAS | 6.84 | 5.18 |
### Device
| Device | Week | Starts | Completions | Completion rate |
|---|---|---:|---:|---:|
| Mobile | W1 | 8,400 | 3,780 | 45.00% |
| Mobile | W2 | 8,400 | 2,352 | 28.00% |
| Desktop | W1 | 6,640 | 2,990 | 45.03% |
| Desktop | W2 | 6,720 | 3,108 | 46.25% |
Mobile starts stayed flat at 8,400. Mobile completion fell; desktop completion moved slightly upward.
## 2.3 Mobile audience-mix change
| Audience | Mobile starts W1 | Mobile starts W2 | Share W1 | Share W2 |
|---|---:|---:|---:|---:|
| Skeptical | 4,200 | 2,100 | 50% | 25% |
| Exploring | 4,200 | 6,300 | 50% | 75% |
This is a material composition change. The correct Week 2 mobile strata are:
- skeptical strata: 350 mobile starts each;
- exploring strata: 1,050 mobile starts each.
## 2.4 Fixed Week 1 mix calculation
Using Week 1 channel × audience × creative quiz-start shares as fixed weights:
| Calculation | Result |
|---|---:|
| Week 1 observed mobile completion | 45.00% |
| Week 2 observed mobile completion | 28.00% |
| Week 2 fixed-mix mobile completion | **35.33%** |
Under this particular baseline-weight decomposition:
| Component | Contribution |
|---|---:|
| Within-group change | −9.67 points |
| Remaining composition component | −7.33 points |
These are descriptive decomposition components, not causal attribution. A different decomposition order may allocate interaction differently.
Because all 12 comparable mobile strata declined, the fixed-mix result cannot be interpreted as a simple composition-only story. The mobile decline has both within-group and composition elements.
## 2.5 Investigation work order
| Owner role | Required evidence/action | Stop condition |
|---|---|---|
| Product owner | Reproduce the mobile flow and retrieve release/version/QA evidence | Missing assignment/logs prevents a version-specific causal claim |
| Media lead | Reconcile event meaning, cohort tagging, and comparable device/audience/creative cuts | Inconsistent definitions or immature windows prevent a settled comparison |
| Reviewer with current measurement knowledge and release authority | Check the decision and all stakeholder drafts before client-facing release | Approval absent means no external delivery |
**Reported fictional context pending verification, not confirmed cause:**
- Product owner reports a mobile quiz presentation revision beginning September 8 at 09:00 UTC.
- Support lead reports an unlinked concern about finding the next-step control.
No deployment audit, rollout share, ticket counts, or linkage to paid cohorts has been supplied. These reports prioritize an investigation; they are not evidence of causality.
---
# 3. Content & Creative Brief
## Message/post-click hypotheses
The broad mobile decline could reflect:
1. **Presentation friction.** The mobile quiz presentation may have changed after Week 1.
2. **Measurement/tracking change.** Event definitions or source tagging may differ between Week 1 and Week 2.
3. **Targeting/mix changes.** The mobile audience mix shifted from 50% skeptical to 75% exploring.
These remain hypotheses.
No creative or message winner is claimed. The decline appears across both `traceability` and `value` mobile strata, and across all comparable mobile strata.
## Focused next step
Inspect the post-click context before proposing a message test.
| Component | Detail |
|---|---|
| Owner | Content lead, product owner |
| First step | Review post-click journey evidence after the media/product diagnostic begins |
| Required before message testing | Verified mobile event definitions, version-assignment evidence, and comparable cohort context |
| Stop condition | If measurement or journey remains unverified, do not claim a failed or winning hook |
| Intent | Keep message hypotheses distinct from proof |
---
# 4. Retrospective Alert Example
## Trigger
Settled paid-mobile quiz completion below the stated 45% target.
## Window
- Observation window: 7 days after each end-of-day paid-click cohort.
- Week 2 comparison dates: 2026-09-08 through 2026-09-14.
- Snapshot: **2026-09-22T23:59:59Z**.
## Earliest justified detection time
With end-of-day click cohorts and a seven-day observation rule, the full Week 2 paid-mobile comparison is first justified at:
```text
2026-09-21T23:59:59Z
```
The supplied snapshot is:
```text
2026-09-22T23:59:59Z
```
## Detect → Analyze → Route → Review
| Stage | Action | Responsible role |
|---|---|---|
| Detect | Settled paid-mobile completion is below 45% | Measurement/performance lead |
| Analyze | Compare both periods, device/audience/creative cuts, fixed-mix check | Media lead |
| Route | Assign mobile journey and event-definition verification | Product owner + media lead |
| Review | Check evidence and approve any client-facing statement | Measurement-competent reviewer with release authority |
## Cadence
This is a static illustration for the next reporting cycle. No live messages, automated spend changes, or external alerts are active.
## Expiry / escalation
- Recheck the rule, context, and evidence requests at the next reporting cycle.
- Escalate missing definitions or evidence to the marketing owner rather than issuing a firm claim.
## Human client-facing approval state
```text
No human approval has occurred.
No client-facing release has occurred.
```
---
# 5. Limitations
## Unavailable outcomes
The following are explicitly unavailable:
- True CAC
- Incrementality
- Awareness
- Realized LTV
- Profitability
- Full-month all-channel revenue
- Causal revenue-loss estimate
## Static demonstration
This retrospective alert is a static teaching demonstration. It does not imply running automation, real-time detection, or externally visible alerting.
## Fictional case
This is a constructed example. It is not real client-operating evidence and does not represent real customers, accounts, approvals, or campaign results.
---
# 6. Use of approved facts only
This production draft uses only the approved tables, calculations, and decisions from `review.md`, `brief-v2.md`, and `analysis.json`. The metrics above are consistent across all three deliverables:
- Mobile completion: **45% → 28%**
- Fixed-mix Week 2 mobile: **35.33%**
- All-paid spend: **$5,462 → $5,512**
- All-paid completions: **6,770 → 5,460**
- Attributed first-purchase customers: **467 → 357**
- Attributed first-purchase revenue: **$37,360 → $28,560**
- Media CPA: **$11.70 → $15.44**
- Attributed first-order ROAS: **6.84 → 5.18**
- Desktop completion: **45.03% → 46.25%**Provenans proses dan batasannya
{
"version": 1,
"status": "editorial-review-human-release-pending",
"fictionalCampaign": true,
"actualModelInvocations": true,
"provider": "deepseek",
"requestedModel": "deepseek-v4-pro",
"returnedModel": "deepseek-v4-pro",
"sourceCommit": "40fbb5bbf84f77e38205bfc9c88a34ab3100a289",
"initialAttachedFiles": [
"en/brief-v1.md",
"en/dictionary.md",
"data/reconciled.csv",
"data/campaigns.csv",
"data/creatives.csv"
],
"precommittedContext": {
"path": "context-note.md",
"sha256": "ae57dd174c3b596afd097ff89a3d665ab27b809767713a98ef9d6e03e9646dec",
"includedInInitialPrompt": false,
"explanation": "The legacy inputHashes field also records the precommitted context hash. The actual request messages exclude its contents; it is provenance, not an initial attachment."
},
"evidence": {
"prompt.md": "b7526a2e10958f90e1527b57852e4a946369dc571be041584a3de8578ed2dc2b",
"response.md": "af3417c37a8e507c504ae99192b805af300f5c4d4f1ba18f3bceef070d504677",
"draft-attempt-01.json": "58ffc1a277245483703d2e239f98cf6e855f8ef1acc102bac6e9092188a7f92b",
"draft-result.json": "5c38314c6b12a5cb891a6fc944239364fe03528569cd6581abe5c377e3cf257e",
"draft-source.json": "268a719071e323171ad784011db92006a4aac952c6fd3bb5f38d5bb7044f1f68",
"analysis-prompt.md": "92114f776445befa6c3ad94301b3387fd1671c32acbeb8159466511691bd3fb0",
"analysis-followup.md": "cbc408a78a97010c8d27790257d0311f813bc2a666ecc0d17341c51038a274fb",
"analysis-attempt-01.json": "fdcd45729f5a633fbd8b2c307b597e6bd7e5f74b5315931164626d910f0127f9",
"analysis-result.json": "1e93962f23469e14b4ecbc38fc585256f71478d03e6c645761d179ffd9244945",
"analysis-source.json": "268a719071e323171ad784011db92006a4aac952c6fd3bb5f38d5bb7044f1f68",
"context-note.md": "ae57dd174c3b596afd097ff89a3d665ab27b809767713a98ef9d6e03e9646dec",
"production-prompt.md": "130af408bec4c0d6394e89df364f1604bf2c4c6c9c41a2fdcd5a8aaa284fad09",
"production-response.md": "9a59340818e12170f94589818b7f99dbfd00bf7550c49230ceeef59627c3cea2",
"production-attempt-01.json": "e7b921293b530f126e8cfeef9e0e894f905274c131b3c68b84b2b756f4603b9f",
"production-result.json": "777bcf18204a9d9ceab4bd539f258cd675c24dcf3146e87666898a70c7f4e2d9",
"production-source.json": "268a719071e323171ad784011db92006a4aac952c6fd3bb5f38d5bb7044f1f68",
"production-review-input.md": "f7c7472ec2c70eaa5a7c28356f464a80be6adb07c1ba51a6b97ebd1ef0796a81"
},
"limits": [
"One text-only initial invocation, one focused follow-up and one formatting pass; no code-execution tool.",
"The authored mobile decline is not an AI-discovered real campaign anomaly.",
"Calculations and editorial review were AI-assisted; no completed human or client approval is claimed.",
"No time saving, profitability, causal lift or operating-model outcome was measured."
],
"editorialFinalization": "Separate checked editorial reports, not verbatim production-response copies; human release remains pending.",
"productionInputSnapshot": "production-review-input.md preserves the exact review supplied to formatting; en/review.md later gained the production-pass review."
}
Catatan konteks fiktif yang direkam sebelumnya
# Supplemental context — prewritten fictional product/support follow-up
**Authored:** 2026-10-29, before the initial AI run. **Use:** introduce only after the initial v1 response, during human review. Record this file's SHA-256 before the run. This is authored teaching context, not a real interview, ticket export, deployment log or finding from a live client. Nothing here describes or predicts the model's response.
## What v1 knew
The brief contained the supplied course business, research hypotheses, measurement definitions and activation handoff. It explicitly marked product release history, mobile QA and support feedback as unknown and assigned follow-up to their owners. No product defect, founder sensitivity or known release was withheld from those supplied v1 inputs. The fictional reporting team had not yet received this follow-up. The real author writes it in advance so later context cannot be tailored to manufacture an AI failure.
## Newly supplied in the fictional review sequence
At the product/support follow-up after the v1 draft, the product owner reports that a mobile-only quiz presentation revision began rolling out on **September 8, 2026, at 09:00 UTC**. It added an expandable ingredient-information panel and changed the label beside the next-step control. The desktop presentation was unchanged. The owner has not supplied the deployment audit, rollout share, version-assignment log or device/browser QA results. This is a reported release description within the fiction, not independently verified instrumentation evidence.
The support lead reports that recent messages included difficulty finding the next-step control on a phone. The supplied note contains no ticket-level dates, counts, customer identifiers or linkage to paid cohorts, quiz events, creative or release version. It does not establish complaint prevalence, whether users abandoned, whether the comments began before the revision or whether any loss was incremental.
The product owner can assign a mobile reproduction and event-verification check in the next working day, with the media lead supplying cohort/funnel definitions. A proposed check should compare affected and unaffected presentation versions where assignment can be reconstructed, verify that starts/completions mean the same thing across versions, and inspect device/browser combinations. If assignment or event evidence is missing, record that limit instead of claiming a controlled test.
## What this can change — and what remains unresolved
This context can make product/measurement verification a more specific or timely next step than an immediate message rewrite or channel move. It can also confirm a sensible existing diagnostic recommendation. The reviewer must decide from the actual draft and checked data; no changed recommendation or reduced confidence is required.
Timing, device scope and a reported usability concern make the revision an **investigable hypothesis**. They do not establish that it caused the aggregate change. Audience/channel/creative mix, within-group movement, event-definition changes, other releases and unrelated influences still require scrutiny. The fixed-mix comparison remains necessary and cannot be replaced by this story. No revenue-loss estimate, causal attribution, automatic pause or exact budget reallocation follows from this note.
Carry into brief v2 as **reported fictional context pending verification**, naming product owner and media lead, requested logs/checks and the unresolved causal question. Record independently verified counts as data findings, reported context as reported context and review actions as decisions. Keep the actual initial response unedited. This is an example of learning after a brief, not a controlled comparison of human and AI judgment.
Gunakan paket bukti
Berkas contoh publik. Materi kursus berbayar tetap terpisah.
- Brief pelaporan v1 ↓
- Kamus data ↓
- Catatan tinjauan editorial ↓
- Brief pelaporan yang diperbarui v2 ↓
- Apa yang berubah dalam brief ↓
- Catatan produksi dan perutean ↓
- CSV sintetis asli ↓
- CSV yang direkonsiliasi ↓
- Perhitungan yang diperiksa ↓
- Log masalah data ↓
- Pencarian kampanye ↓
- Pencarian kreatif ↓
- Peta sumber fakta kursus dan rekonstruksi ↓
- Prompt awal yang dikirimkan ↓