英國市場拓展：決策背後的判斷

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

# 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.

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.

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": {
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        "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": {
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        "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": {
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        "settled": true,
        "quizCompletionRate": 0.45,
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        "attributedFirstOrderRoas": 5.365853658536586,
        "ctr": 0.05263157894736842,
        "cpcCents": 31.53846153846154,
        "cpmCents": 1659.919028340081
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      "week2": {
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        "clicks": 7280,
        "landing_sessions": 6160,
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        "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,
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        "attributed_first_purchase_revenue_cents": 1272000,
        "rows": 56,
        "settled": true,
        "quizCompletionRate": 0.47580645161290325,
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        "attributedFirstOrderRoas": 8.895104895104895,
        "ctr": 0.05,
        "cpcCents": 19.972067039106147,
        "cpmCents": 998.6033519553073
      },
      "week2": {
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        "clicks": 7280,
        "landing_sessions": 6160,
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        "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": {
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        "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
      },
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        "rows": 84,
        "settled": true,
        "quizCompletionRate": 0.3472222222222222,
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        "attributedFirstOrderRoas": 4.67343976777939,
        "ctr": 0.05263157894736842,
        "cpcCents": 25.238095238095237,
        "cpmCents": 1328.3208020050126
      }
    },
    "value": {
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        "impressions": 205080,
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        "attributed_first_purchase_revenue_cents": 1888000,
        "rows": 84,
        "settled": true,
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        "attributedFirstOrderRoas": 6.946284032376748,
        "ctr": 0.0526623756582797,
        "cpcCents": 25.166666666666668,
        "cpmCents": 1325.3364540667058
      },
      "week2": {
        "spend_cents": 275600,
        "impressions": 207480,
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        "landing_sessions": 9240,
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        "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": {
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        "spend_cents": 274400,
        "impressions": 207480,
        "clicks": 10920,
        "landing_sessions": 9240,
        "quiz_starts": 7560,
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        "attributed_new_customers": 301,
        "attributed_first_purchase_revenue_cents": 2408000,
        "rows": 84,
        "settled": true,
        "quizCompletionRate": 0.5555555555555556,
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        "attributedFirstOrderRoas": 8.775510204081632,
        "ctr": 0.05263157894736842,
        "cpcCents": 25.128205128205128,
        "cpmCents": 1322.5371120107961
      },
      "week2": {
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        "clicks": 9660,
        "landing_sessions": 7980,
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        "attributedFirstOrderRoas": 5.8925979680696665,
        "ctr": 0.05263157894736842,
        "cpcCents": 28.530020703933747,
        "cpmCents": 1501.5800370491445
      }
    },
    "exploring": {
      "week1": {
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        "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,
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        "attributedFirstOrderRoas": 4.885945548197204,
        "ctr": 0.0526623756582797,
        "cpcCents": 25.166666666666668,
        "cpmCents": 1325.3364540667058
      },
      "week2": {
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        "impressions": 231420,
        "clicks": 12180,
        "landing_sessions": 10500,
        "quiz_starts": 8820,
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        "attributed_new_customers": 154,
        "attributed_first_purchase_revenue_cents": 1232000,
        "rows": 84,
        "settled": true,
        "quizCompletionRate": 0.26666666666666666,
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        "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,
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        "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": {
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        "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": {
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        "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": {
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        "clicks": 10080,
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        "attributed_new_customers": 210,
        "attributed_first_purchase_revenue_cents": 1680000,
        "rows": 84,
        "settled": true,
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        "cpcCents": 27.341269841269842,
        "cpmCents": 1439.014202172097
      }
    }
  },
  "mobile": {
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    "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,
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        "baselineWeight": 0.08333333333333333
      },
      {
        "key": "google-search/exploring/value",
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        "week2Completions": 210,
        "week1Rate": 0.29,
        "week2Rate": 0.2,
        "baselineWeight": 0.08333333333333333
      },
      {
        "key": "google-search/skeptical/traceability",
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        "week2Completions": 154,
        "week1Rate": 0.54,
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        "baselineWeight": 0.08333333333333333
      },
      {
        "key": "google-search/skeptical/value",
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        "week1Rate": 0.58,
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        "baselineWeight": 0.08333333333333333
      },
      {
        "key": "linkedin/exploring/traceability",
        "week1Starts": 700,
        "week2Starts": 1050,
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        "week2Completions": 203,
        "week1Rate": 0.28,
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      },
      {
        "key": "linkedin/exploring/value",
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        "week2Starts": 1050,
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        "week2Completions": 231,
        "week1Rate": 0.32,
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        "baselineWeight": 0.08333333333333333
      },
      {
        "key": "linkedin/skeptical/traceability",
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        "week1Rate": 0.58,
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        "baselineWeight": 0.08333333333333333
      },
      {
        "key": "linkedin/skeptical/value",
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        "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
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    ]
  },
  "unavailable": [
    "true-cac",
    "incrementality",
    "awareness",
    "realized-ltv",
    "profitability"
  ]
}

# 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%**

{
  "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."
}

# 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.