Search Analytics:Internal Search、SEO、PPC
探索點解internal search係最被忽略嘅analytics金礦——我會show你邊啲新加坡大型網站冇呢個關鍵功能,同你需要track邊啲metrics。
呢篇文章寫於2008年,部分內容可能已經有變化。
各位好,
已經好耐冇寫過Analytics嘅嘢。我週末為咗工作重新review「Web Analytics: an hour a day」,覺得share下我學到嘅嘢係一個好idea。
我最熟悉嘅係Search Analytics,所以我打算share Chapter 8嘅內容:Search Analytics - Internal Search、SEO同PPC。
1. Internal Search:
根據我嘅工作經驗,呢個可能係人哋講analytics或分析website traffic時最被忽略嘅領域(喺SG同SEA嘅context)。 我哋通常分析晒所有external traffic sources,完全forget咗internal search。
開始之前,確保我哋都on the same page。 我講internal search嘅時候,係指你website入面嘅search功能。呢個功能允許用戶喺你個site入面search結果。例如你去IMDB,用internal search搵movie titles;你去Amazon,用internal search搵books⋯⋯
第二,點解internal search重要?
事實係人越嚟越懶,特別係講到internet嘅時候。(呢個可能就係點解Google第一時間咁成功。:P) 同時企業網站越嚟越複雜,有幾千頁。越嚟越重要嘅係website要有built-in search功能,等potential customers快速搵到佢哋想要嘅嘢。
但事實係新加坡好多sites都冇internal search功能。 睇下幾間銀行:
- DBS:DBS係本地最popular嘅銀行,consumer banking同corporate side都係。佢哋冇internal search功能
- UOB:冇
- OCBC:冇
- Citibank Singapore:冇
- HSBC:有!佢哋有Internal Search功能。我唔會講佢哋internal search嘅quality因為超出咗呢篇文嘅scope。
B2C sites:
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Singapore Food Guide(HungryGoWhere):佢哋supposed to be一個所謂嘅「Search engine for food」。不過IMHO,internal search功能未達到我嘅expectation。
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Flower Delivery(FarEastFlora.com):reasonable嘅internal search功能。
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Creative Singapore(sg.creative.com):reasonable嘅internal search功能。
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Singapore Airlines:有internal search功能。不過quality唔算好好。我打「Bangkok flight」嘅時候,唔係show promotions⋯⋯top 3結果係Boarding pass???
Avinash建議咗幾個關於internal search analytics嘅有用reports/metrics:
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量度Internal Site Search Usage Metrics
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Report top Internal Site Search Key Phrases。呢個可以係一個好有用嘅report,特別係資訊喺IT、production、marketing同sales部門之間share嘅話。
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用Site Overlay Report分析Click Density:呢個喺新加坡或SEA context下太advanced咗。基本上係畀你一個visual嘅方式去睇用戶點同search result pages互動。
我哋可以deeper dive到CTR、exit rate等⋯⋯
- 量度用Internal Search嘅用戶嘅conversion rate(如果你有e-commerce site)。呢個metric喺justify投資更好嘅internal search功能方面obviously好powerful。
2. Search Engine Optimization(SEO):
SEO基本上係令你嘅website更search engine friendly。 SEO喺美國、英國、澳洲或其他市場嘅好多businesses(大或細、international或local)嘅overall marketing strategies入面一直係crucial嘅一部分。但講到SG或SEA,SEO嘅adoption rate仲好limited。 由於呢篇文嘅scope,我唔會詳講common/simple嘅optimization techniques。但我會講點樣measure SEO efforts。
正如Avinash所講,measure SEO efforts唔容易。
雖然implement SEO嘅ultimate goal係令你嘅website喺Search Engine Result page排得高。 而且唔止係排得好。係要為「正確」嘅keywords排得好。 例如如果你係賣花嘅,排喺Google新加坡「good restaurant」嘅No 1有乜用? 呢個係一個over simplified嘅例子。但我希望你get到,因為每個keyword search背後嘅intention唔同。Middle Class同C level嘅人用search engine嘅方式唔同⋯⋯所以做keyword analysis嘅時候要小心。
- Ranking report:揀10到20個keywords做報告睇下你個site喺Google/Yahoo排幾好。
一如既往,喺大部分SEA國家,Google同Yahoo有大約90%嘅search market share。 但有一樣要注意嘅係,唔同UK、歐洲或澳洲,Google佔壓倒性market share,Yahoo喺SEA仲相當strong,特別係新加坡。佢有大約28%嘅search market share——呢個真係remarkable。所以做SEO嘅時候應該optimize for Google同Yahoo,唔好淨係做Google。
- Index report:
對我嚟講呢個排喺ranking report之後。知道Google index咗你site幾多頁好重要,因為雖然你可能有幾十萬頁beautifully designed嘅web pages,如果Google index唔到你個site,你永遠唔會喺SERPs被搵到。
- Pages with External Links
「See which pages on your site have links pointing to them from other sites.」——Google Webmaster tool。 呢個係一個好重要嘅report。但如上所述,deeper dive入SEO超出咗呢篇文嘅scope。
- Segmentation:
Segmentation係web analytics嘅關鍵。喺呢個context下,即係將organic traffic同Paid Search traffic及其他traffic sources分開。 定義清晰嘅business goals(例如conversions),然後compare organic(natural)traffic嘅performance同其他sources。 做嘅時候請記住organic traffic唔係Free嘅。 如果你搵agency做SEO,cost就係agency cost。 同時唔好忘記好似「IT」cost嘅嘢;花喺branding offline/online嘅大量金錢、offline marketing activities for specific products(順帶一提,人哋睇完ad之後會上網search)。 好難draw the line話幾多錢花喺branding同其他activities actually contributes to Organic/Natural traffic。但好清楚organic traffic唔係free嘅。 Present你嘅products/company info畀customer喺online vs offline可能cheaper。但organic traffic可能平過其他type嘅traffic(offline同online)。但佢唔係Free嘅。
3. Pay Per Click
正如Avinash所講,PPC好hot。佢hot係因為佢effective同所謂「easy」咁get started。
一個quick note:我哋一定要分開Search campaigns同Contextual campaigns。 呢兩種campaigns嘅nature好唔同,任何metrics對佢哋各自嘅relevancy或interpretation都唔同。所以唔可以將Search同Content traffic lump埋一齊用common metrics。
PPC campaign嘅幾個fundamental metrics包括:
- Number of Impressions = 你嘅ad出現咗幾多次。
Number of Impressions對跑喺Google.com或Search Network嘅Campaigns比跑喺Content Network嘅更relevant。
- Clicks:簡單嚟講就係由Paid Search去你site嘅click數。
請注意佢唔等於unique visitors或者Paid Search campaign帶嚟嘅total visits
- Click through rate(CTR):Clicks/Impressions嘅ratio
CTR對Search Campaign同Contextual Campaign都係重要嘅metric。但請注意Search嘅CTR永遠比Contextual高好多,呢個冇乜特別。
點解CTR重要? 因為高CTR代表Paid Search campaigns帶嚟更多clicks。 唔止咁,通常高CTR你會俾少啲per click因為有高quality score(Google term)/高quality index(Yahoo term)⋯⋯
- Cost per Click:CPC
冇錯,呢啲就係PPC campaign嘅fundamental metrics。但如你所見,單獨用呢啲metrics有好多loopholes:
- 你可能問嘅第一個問題:呢啲metrics對你嘅business、對bottom line有咩meaning?
- 你點integrate呢啲metrics/numbers入現有嘅analytics tool嚟做更多分析?
- 等等⋯⋯
儘管淨係睇呢啲numbers有好多unknowns、unanswered questions、unclear relationships,新加坡/中國/香港仲有唔少agencies只provide呢啲data畀clients。 呢度唔包括嗰啲有make effort向client解釋full picture嘅agencies。只係因為relationship嘅nature、constraints等⋯⋯佢哋只能work with呢啲data。
Bottom line impacting metrics:
Avinash用「Outcome」呢個term,可以係「orders, leads, page views, or anything defined as a goal for the campaign」 然後我哋有以下:
- Onsite Conversion(OSC)Rate:Outcomes/Clicks。呢個應該係一個好common嘅metric。佢簡單indicate你嘅traffic source相對bottom line嘅quality幾高。
但請唔好read too much into呢個metric。原因係有好多嘢可以impact Onsite Conversion Rate(OSC)。
首先,你需要清楚test你measure Onsite conversion rate嘅方法係唔係正確! 聽落簡單但其實唔係。 Clicks嘅數字,agency可以由Search engine攞到,呢個係easy part。但client可能用3rd party tracking,如果agency唔properly set up/test tracking就會出大問題。即使tracking proper,Search Engines同3rd party tracking嘅數字都可以有10-15%差異,特別係你用Search Network/Content Network嘅時候。
至於conversions嘅數字,可以更加complicated。而家最容易同最常用嘅counting conversions方法用:
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Conversion Rule:Last Click win。即係一個conversion只會count向一個特定source,如果佢係visitor用嚟visit site並convert嘅最後traffic source。
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Conversion係當visitor到達confirmation page時count。而呢度就可能有問題。
用戶經常refresh page或者喺confirmation page完全load之前離開。兩種情況都會影響conversions嘅數字。
另一個常見問題係一個用戶可能convert多次。可以係同一次visit嘅multiple products、跨幾日甚至幾個禮拜嘅different visits。 而且用戶嘅journey越嚟越complicated。一個用戶可能interact with一個banner(所以banner campaign嘅cookie drop喺佢電腦上)、一個eNewsletter(又一個cookie)、natural search同PPC。所以如果你唔carefully set conversion rule,唔同嘅agencies會嘗試claim同一個conversions。 例如:負責media planning嘅agency會count一個conversion只要有人click咗banner然後之後買咗嘢/convert。SEM agency亦會count同一個用戶,因為就佢哋所知用戶係透過sponsored links visit site嘅。
總之,我希望你而家get到啦。我哋唔應該read too much into Onsite Conversion。了解呢個數字係critical嘅。但有好多其他嘢要take into consideration。
之後係其他同conversions相關嘅metrics:
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Revenue
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Cost per Lead(CPL)
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Cost per Order(CPO)
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Return on Ad Spend(ROAS)
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等等⋯⋯
4. Advanced Analytics Concepts:
呢個係chapter 14嘅內容但我覺得喺度discuss會有益。
- Statistical Significance:請參考Wikipedia嘅定義
- Segmentation:
「It is impossible to segment any metric without putting in the effort to understand what you are reporting and the business value that the metric represents.」Avinash寫道。 我個人真心相信Segmentation係Powerful同hard work嘅。亦係一個好analyst嘅標誌。
喺佢本書入面,Avinash present咗好多簡單但powerful嘅examples show我哋segmentation應該點做。我只discuss同Search相關嘅。
首先,每次你嘗試report一個figure,你需要考慮嗰個number嘅context,然後Search Engines作為整體嘅numbers,然後Google Search、Google Content同Yahoo Search嘅numbers。 (Yahoo Content喺SG同SEA仲好limited所以冇太多practical values。)
唔好忘記每個國家分開做analysis而唔係group埋一齊。Group together可能而家convenient。但請確保你需要嘅時候有raw data。即係唔好一個PPC campaign target兩個唔同嘅territories!
- Trending Segmented Data:
最好用bar graph或者lines嚟show呢啲trends。而且如果你show唔同traffic sources嘅trends together或者mix competitor analysis/industry benchmarks,會好「actionable」。
最後但唔係最不重要嘅,以下係Avinash嘅best practices:
- Forget about Overall Site conversion rate:完全同意
好多clients之前問過我「conversion rate嘅benchmark係幾多?」 我每次都花時間解釋每個industry唔同、每個market唔同、client有冇用web analytics等⋯⋯ 我仲未試過話「如果我話你知個數係20%,你會唔會因為你個數係2%而嗌晒?」之類嘅⋯⋯可能下次 :) 「There is no other metric that will tell you less about your website than overall conversion」——多謝Avinash!
- Trend over time同唔好忘記Seasonality:完全同意
唔好做咗1-3個月Paid Search就大聲話佢唔work。 當然有啲人/agencies的確特別差⋯⋯但true professionals知道seasonality matters同其他factors。 要耐心,因為有時SEM campaign要6-12個月先至mature。
- 了解你嘅website/company/client公司嘅acquisition strategy
例如如果一間公司一直用offline做main acquisition channel,而嗰個市場嘅人習慣咗,咁要開始做任何Direct Response Online campaign都幾難。 (唔係話做唔到)
- Measure conversion Rate by Top 5 referring URLs
我發現對大MNC嚟講,marketing人通常冇access to Web Analytics或者冇人show佢哋點用。而且agencies通常好懶,唔會同client嘅Analytics team link up。
每當佢哋(marketing department/agencies)做media planning同buying嘅時候,好少會諗到搵出而家或者historically帶嚟最多conversions嘅top 5 referring URLs!
- 唔好measure conversion rate by page or link
我喺SG或SEA唔常見到呢個問題。
- Segment like Crazy
我哋已經over and over again講過呢個。
- 永遠show revenue next to conversion
呢個只applicable to advertisers/clients嘅internal team吧。Revenue或者profit margin per conversion係strictly confidential,clients通常唔會同agencies share呢個資訊。 Agencies知道嘅(如果佢哋唔係太懶嘅話)只係benchmark或industry average values。
- Measure conversion rate with a Goal in mind
書入面仲有好多其他best practices。我嘅recommendation係get yourself一本然後花時間喺佢well written嘅context入面了解呢啲practices!
今日就講到呢度。
下次見! Chandler