[{"data":1,"prerenderedAt":523},["ShallowReactive",2],{"insights-related":3,"insights-page":77,"navigation":108,"i-ph:arrow-up-right":251,"i-ph:linkedin-logo-fill":255,"i-ph:arrow-right":257,"i-ph:caret-down":259,"i-ph:list":261,"i-ph:x":263,"insight-5-insights-from-prime-big-deal-days":265,"i-ph:archive":519,"i-ph:caret-right":521},[4,19,29,40,52,65],{"path":5,"title":6,"description":7,"date":8,"tags":9,"image":12,"readingTime":17,"draft":18,"needsApproval":18},"\u002Finsights\u002Fgetting-paid-for-ai-influence","Getting paid for AI influence: the AEO and GEO revenue map for publishers","The tools that measure AI influence, the programs that pay for it, and how commerce publishers sell it to brands, with a playbook.","2026-10-07",[10,11],"AI search","Commerce strategy",{"src":13,"alt":14,"width":15,"height":16},"\u002Finsights\u002Fgetting-paid-for-ai-influence\u002Fcover.webp","Three cards in a row: 1 See the impact, 2 Paid without a brand, 3 Paid by brands, with an arrow from the first to the third labeled Citation data feeds brand payouts",2400,1260,"19",false,{"path":20,"title":21,"description":22,"date":23,"tags":24,"image":25,"readingTime":28,"draft":18,"needsApproval":18},"\u002Finsights\u002Fpost-click-economy-nine-months-in","The post-click economy, nine months in","Impact's Geodesix and Partnerize's VantagePoint bet differently on paying publishers for AI answers. Nine months on, both depend on brand budgets.","2026-09-15",[10,11],{"src":26,"alt":27,"width":15,"height":16},"\u002Finsights\u002Fpost-click-economy-nine-months-in\u002Fcover.webp","Two cards, Geodesix (license the content) and VantagePoint (prove the influence), with arrows pointing down to a single box labeled Brand budgets","6",{"path":30,"title":31,"description":32,"date":33,"tags":34,"image":36,"readingTime":39,"draft":18,"needsApproval":18},"\u002Finsights\u002Famazon-associates-vs-amazon-attribution","Amazon Associates vs. Amazon Attribution: how the two programs differ","Amazon Associates pays publishers on affiliate sales; Amazon Attribution pays brands a bonus for traffic they send. How the two programs differ.","2024-01-09",[35,11],"Amazon",{"src":37,"alt":38,"width":15,"height":16},"\u002Finsights\u002Famazon-associates-vs-amazon-attribution\u002Fcover.webp","Two panels compared: Amazon Associates pays the publisher on the whole cart, while Amazon Attribution pays the brand on one product","3",{"path":41,"title":42,"description":43,"date":44,"tags":45,"image":47,"readingTime":51,"draft":18,"needsApproval":18},"\u002Finsights\u002F5-insights-from-prime-big-deal-days","5 Insights from Prime Big Deal Days","Five takeaways from October 2023 Prime Big Deal Days: Amazon's own commerce content, publisher share of voice, rank stability and Top Stories.","2023-10-12",[46,35],"Commerce Events",{"src":48,"alt":49,"width":15,"height":50},"\u002Finsights\u002F5-insights-from-prime-big-deal-days\u002Fcover.webp","Two Amazon shipping boxes with Prime tape on a dark background",1555,"4",{"path":53,"title":54,"description":55,"date":56,"tags":57,"image":59,"readingTime":64,"draft":18,"needsApproval":18},"\u002Finsights\u002Fcommerce-content-insights-from-ase23-marcc","Commerce Content Insights from ASE23 & MARCC","Commerce content takeaways from Affiliate Summit East 2023 and MARCC in New York: generative AI, audience growth, TikTok and affiliate revenue.","2023-08-07",[58],"Conference Recap",{"src":60,"alt":61,"width":15,"height":62,"caption":63},"\u002Finsights\u002Fcommerce-content-insights-from-ase23-marcc\u002Fcover.webp","Four panelists seated on stage at Affiliate Summit East",1513,"Jessica Spira (Hearst Newspapers) moderating a discussion on creating trustworthy content with Reid Webb (The Daily Beast) Neha Ananda (Money Group) and Jessica Seib (Rolling Stone)","10",{"path":66,"title":67,"description":68,"date":69,"tags":70,"image":71,"readingTime":76,"draft":18,"needsApproval":18},"\u002Finsights\u002Fjuly-2023-prime-day-recap","July 2023 Prime Day Recap","What July 2023 Prime Day search data showed about Top Stories, Amazon's share of voice, the publishers that led, and how often they updated.","2023-07-13",[46,35],{"src":72,"alt":73,"width":74,"height":75},"\u002Finsights\u002Fjuly-2023-prime-day-recap\u002Fcover.webp","An Amazon shipping box with Prime tape on a dark background",720,467,"5",{"id":78,"archive":79,"authors":82,"ctaBand":87,"extension":93,"hero":94,"meta":97,"pageSize":98,"related":99,"rss":101,"seo":104,"stem":106,"__hash__":107},"insightsPage\u002Finsights-page.yml",{"months":80,"note":81},18,"From our archive. This post was published in {date}, and some details may have changed since.",[83],{"name":84,"title":85,"url":86},"R.J. Lehman","Co-Founder","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Frjlehman\u002F",{"heading":88,"body":89,"primary":90},"See what your commerce content earns","Talk to our team about measuring and growing commerce revenue across your pages.",{"label":91,"to":92},"Talk to our team","\u002Fcontact","yml",{"heading":95,"subhead":96},"Insights","Data and analysis on commerce content, affiliate revenue and search, for the teams that run commerce at premium publishers.",{},"9",{"heading":100},"More insights",{"title":102,"description":103},"Bullwhip Insights","Data and analysis on commerce content, affiliate revenue and search for premium publishers.",{"title":95,"description":105},"Bullwhip's insights on commerce content, affiliate revenue, search and AI, with data and analysis for premium publishers' commerce 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128Z\"\u002F>",{"id":266,"title":42,"author":84,"body":267,"date":44,"description":43,"draft":18,"extension":511,"image":512,"legacy":513,"meta":514,"navigation":513,"needsApproval":18,"path":41,"readingTime":51,"seo":515,"stem":516,"tags":517,"__hash__":518},"insights\u002Finsights\u002F5-insights-from-prime-big-deal-days.md",{"type":268,"value":269,"toc":502},"minimark",[270,279,284,293,302,333,342,351,355,367,374,377,381,388,396,399,414,417,421,455,461,470,474,477,480,488,491,499],[271,272,273,274,278],"p",{},"Building on our ",[275,276,277],"a",{"href":66},"July Prime Day Recap",", we’re checking in with five noteworthy takeaways from this year’s October Prime Big Deal Days (PBDD) event.",[280,281,283],"h2",{"id":282},"_1-amazon-leaned-further-into-commerce-content-via-aboutamazoncom","1. Amazon leaned further into commerce content via aboutamazon.com…",[271,285,286,287,292],{},"As was the case in July, Amazon.com benefitted from the most widely SEO-distributed link (",[275,288,289],{"href":289,"rel":290},"https:\u002F\u002Fwww.amazon.com\u002Fprimebigdealdays",[291],"nofollow","), its landing page for the 2-day event.",[271,294,295,296,301],{},"Distinct from July, however, was the strong performance of the ",[275,297,300],{"href":298,"rel":299},"https:\u002F\u002Faboutamazon.com\u002F",[291],"aboutamazon.com"," domain, with three distinct pages performing toward the top of our visibility index:",[303,304,305,315,324],"ul",{},[306,307,308,309,314],"li",{},"About Amazon’s ",[275,310,313],{"href":311,"rel":312},"https:\u002F\u002Fwww.aboutamazon.com\u002Fprime-day-2023",[291],"Prime Day landing page",", which prominently featured their Live Blog coverage of the two-day event",[306,316,317,318,323],{},"A basic ",[275,319,322],{"href":320,"rel":321},"https:\u002F\u002Fwww.aboutamazon.com\u002Fnews\u002Fretail\u002Famazon-prime-big-deal-days-faq",[291],"explainer page"," covering how to find the best deals and make the most of PBDD",[306,325,326,327,332],{},"A similar ",[275,328,331],{"href":329,"rel":330},"https:\u002F\u002Fwww.aboutamazon.com\u002Fnews\u002Fretail\u002Famazon-announces-prime-big-deal-days-2023-date",[291],"announcement page"," which, like the prior page, likely benefitted from the large number of general queries regarding the date and times of the 2-day shopping event.",[271,334,335],{},[336,337],"img",{"alt":338,"height":339,"src":340,"width":341},"Bar chart of the top organic search pages by domain during Prime Big Deal Days, led by amazon.com and three aboutamazon.com pages",1434,"\u002Finsights\u002F5-insights-from-prime-big-deal-days\u002F1.png",1220,[271,343,344,345,350],{},"Want to dive further into the data? Check out the rank and index of the top performance pages in ",[275,346,349],{"href":347,"rel":348},"https:\u002F\u002Fairtable.com\u002Fembed\u002FappPD0JHn3uVAEGTB\u002FshrHBWDtovT8TAyIC\u002Ftblc0xxg1fTucb3rJ?backgroundColor=purple&viewControls=on",[291],"this Airtable",".",[280,352,354],{"id":353},"_2-meaningfully-impacting-overall-seo-share-of-voice","2. …meaningfully impacting overall SEO share of voice",[271,356,357,358,362,363,366],{},"While data on ",[359,360,361],"em",{},"aggregate"," traffic for October (vs. July) is still coming in, this out-performance of aboutamazon.com did appear to contribute to a material ",[359,364,365],{},"share"," gain for Amazon’s own domains, vs. 3rd party pages with editorial perspectives on the best deals and opportunities.",[271,368,369],{},[336,370],{"alt":371,"height":372,"src":373,"width":341},"Stacked bar chart comparing SERP link share of voice in July and October 2023: aboutamazon.com's share grew sharply in October",878,"\u002Finsights\u002F5-insights-from-prime-big-deal-days\u002F2.png",[271,375,376],{},"Our calculation of share of voice reflects the popularity over various search terms (spanning ~600 top terms related to Prime Day \u002F PBDD), weighted by each pages hourly position on those SERPs. Therefore, these results could at least in part reflect a changing distribution of search interest in basic “informational” terms like “when is Prime Day” vs. the shopping advice and deals terms that are more likely to drive to publishers’ and creators’ commerce content pages.",[280,378,380],{"id":379},"_3-maintaining-a-top-search-rank-is-not-as-hard-as-getting-it","3. Maintaining a top search rank is not as hard as getting it",[271,382,383,384,387],{},"One factor we analyzed during PBDD is ",[359,385,386],{},"Rank Stability",", the likelihood that a given result will maintain its search rank position for a given term over any given hour of the day. Averaging this over all ~600 analyzed keywords and hourly results during the two-day event yielded the below “heat map.”",[271,389,390],{},[336,391],{"alt":392,"height":393,"src":394,"width":395},"Heat map of rank stability by search position during the event: position 1 held its rank 76% of the time on average, falling to 14% for positions 26 to 30",330,"\u002Finsights\u002F5-insights-from-prime-big-deal-days\u002F3.webp",949,[271,397,398],{},"Two points stand out here:",[303,400,401,408],{},[306,402,403,407],{},[404,405,406],"strong",{},"Maintaining top search rank is not as hard as getting it",": the likelihood of keeping the #1 top search position across any two hours is 76% on average, but this drops precipitously to just 44% for the 5th position. In other words, Google is actively experimenting more with resorting results the further you go down the page.",[306,409,410,413],{},[404,411,412],{},"The evening hours see more volatility (movement across rank positions) than the morning or early afternoon hours",". There is a clear “wave” pattern of darker purple in the above chart, peaking somewhere between 6am and noon each day, with more volatility (lighter boxes) following it (Note: both the source of this search data and the times above are EDT). This could be driven by Google (changing more as late afternoon evening browsing \u002F shopping volume picks up), publishers (providing Google with more fresh content to compete for rank during business hours) or some combination of the two.",[271,415,416],{},"The challenge of achieving a top rank points to the importance of preparatory work done in the days and weeks leading up to key events like PBDD.",[280,418,420],{"id":419},"_4-top-stories-performance-was-led-by-an-increasingly-diverse-set-of-publications","4. Top Stories performance was led by an increasingly diverse set of publications",[271,422,423,424,427,428,431,432,437,438,443,444,437,449,454],{},"A broader range of publications appeared in Google’s “Top Stories” module. More specifically, we noticed more ",[359,425,426],{},"news media"," (i.e. versus ",[359,429,430],{},"magazine media"," brands) including national news domains like ",[275,433,436],{"href":434,"rel":435},"https:\u002F\u002Fcbsnews.com\u002F",[291],"cbsnews.com"," and ",[275,439,442],{"href":440,"rel":441},"https:\u002F\u002Fnbcnews.com\u002F",[291],"nbcnews.com",", as well as local newspaper domains including ",[275,445,448],{"href":446,"rel":447},"https:\u002F\u002Fdelawarelocal.com\u002F",[291],"delawarelocal.com",[275,450,453],{"href":451,"rel":452},"https:\u002F\u002Fsyracuse.com\u002F",[291],"syracuse.com"," covering the event and getting distribution via Google’s Top Stories.",[271,456,457],{},[336,458],{"alt":459,"height":339,"src":460,"width":341},"Bar chart of Top Stories performance by domain and media type, led by usatoday.com, cnn.com and people.com","\u002Finsights\u002F5-insights-from-prime-big-deal-days\u002F4.png",[271,462,463,464,469],{},"Check out ",[275,465,468],{"href":466,"rel":467},"https:\u002F\u002Fairtable.com\u002Fembed\u002FappPD0JHn3uVAEGTB\u002FshrboXRx3ZXmAlUim?backgroundColor=purple&viewControls=on&source=post_page-----f7519d929489--------------------------------",[291],"the dataset here"," if you’d like to explore further.",[280,471,473],{"id":472},"_5-the-top-3-top-stories-positions-strongly-favor-recently-published-content","5. The top 3 Top Stories positions strongly favor recently-published content",[271,475,476],{},"Not surprisingly, the Top Stories module has a strong preference for recency in determining what will show up first.",[271,478,479],{},"Interestingly, this also varies significantly during the day. Consistent with the finding above that Organic Results are more stable in the morning \u002F midday than later in the day, Top Stories tend to show the shortest “time since published” dates after 6pm. This was evident across all of the top 3 positions and in both the first and second days of the event.",[271,481,482],{},[336,483],{"alt":484,"height":485,"src":486,"width":487},"Heat map of average story age by Top Stories position and time of day: position 1 averaged 11 hours, position 4 averaged 19",195,"\u002Finsights\u002F5-insights-from-prime-big-deal-days\u002F5.webp",965,[271,489,490],{},"The most intense hours saw an average story age (across the ~600 keywords analyzed) of just ~5–6 hours, whereas the least intense hours saw an average as high as ~16 hours. Generally speaking, for publishers aiming to target Top Stories distribution via search should consider an update frequency of 2–4 times per day, as more frequent updates are unlikely to yield a material change in distribution.",[271,492,493,494,498],{},"Thanks for reading! All of the above analysis is based 100% on public information sources. Please reach out to us at ",[275,495,497],{"href":496},"mailto:partner@bullwhip.io","partner@bullwhip.io"," with any questions, or if you’d like to learn more about the Bullwhip platform and how it helps leading commerce content publishers and creators grow and outperform.",[271,500,501],{},"P.S. Noticeably absent, admittedly, from our coverage of this fall’s event is the “elephant in the room” of the net effect of OpenAI, Bard and SGE on Prime Day SEO-driven traffic results. This is due to the lack of a representative data source on this impact to date. If you are interested in learning more about the industry-level impact of these trends, or even contributing via anonymized benchmarking, please get in touch!",{"title":503,"searchDepth":504,"depth":504,"links":505},"",2,[506,507,508,509,510],{"id":282,"depth":504,"text":283},{"id":353,"depth":504,"text":354},{"id":379,"depth":504,"text":380},{"id":419,"depth":504,"text":420},{"id":472,"depth":504,"text":473},"md",{"src":48,"alt":49,"width":15,"height":50},true,{},{"title":42,"description":43},"insights\u002F5-insights-from-prime-big-deal-days",[46,35],"hGTZ0_Fef1b5p8XmNA3YaP3v4OCxkB9ZJI7p1ON-1v8",{"left":252,"top":252,"width":253,"height":253,"rotate":252,"vFlip":18,"hFlip":18,"body":520},"\u003Cpath fill=\"currentColor\" d=\"M224 48H32a16 16 0 0 0-16 16v24a16 16 0 0 0 16 16v88a16 16 0 0 0 16 16h160a16 16 0 0 0 16-16v-88a16 16 0 0 0 16-16V64a16 16 0 0 0-16-16m-16 144H48v-88h160Zm16-104H32V64h192zM96 136a8 8 0 0 1 8-8h48a8 8 0 0 1 0 16h-48a8 8 0 0 1-8-8\"\u002F>",{"left":252,"top":252,"width":253,"height":253,"rotate":252,"vFlip":18,"hFlip":18,"body":522},"\u003Cpath fill=\"currentColor\" d=\"m181.66 133.66l-80 80a8 8 0 0 1-11.32-11.32L164.69 128L90.34 53.66a8 8 0 0 1 11.32-11.32l80 80a8 8 0 0 1 0 11.32\"\u002F>",1791465594283]