RetailPlaybook | Agentic Commerce Strategies for Amazon, Walmart, & Target

Two Shoppers, Two Different Amazons: BTR Media CEO Destaney Wishon on the Customized SERP


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This week's we dig into a recent Amazon science paper on whole-page optimization and what it means for brands. It's less founder-journey, more roll-up-your-sleeves strategy with how the search results page is quietly becoming personalized per shopper, the framework Amazon's ranker uses, and where advertising dollars should actually go. If you sell on Amazon (or Walmart, or Target), this one is tactical.

Highlights

  • ๐—ง๐˜„๐—ผ ๐˜€๐—ต๐—ผ๐—ฝ๐—ฝ๐—ฒ๐—ฟ๐˜€, ๐˜๐˜„๐—ผ ๐—ฆ๐—˜๐—ฅ๐—ฃ๐˜€: Amazonโ€™s whole-page-optimization research shows the same query can return distinctly different search pages depending on whoโ€™s searching.
  • ๐—ง๐—ต๐—ฒ ๐—ป๐˜‚๐—บ๐—ฏ๐—ฒ๐—ฟ๐˜€: The paper reported a 1.87% lift in brand relevance and a 0.05% revenue uplift. Small on paper, but โ€œin Amazon terms, huge,โ€ and a preview of what fuller personalization could unlock.
  • ๐—ง๐—ต๐—ฒ ๐Ÿฏ ๐—–๐˜€: Amazonโ€™s page ranker leans on Context, Customer, and Content, the same three things Destaney says sheโ€™s been preaching for years.
  • ๐—ข๐—ป๐—ฒ ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜, ๐—บ๐—ฎ๐—ป๐˜† ๐˜€๐—ต๐—ผ๐—ฝ๐—ฝ๐—ฒ๐—ฟ๐˜€: The same protein gets shown to a bodybuilder, an 80-year-old needing nutrients, and a mom on the go and Amazon has the inputs to tell them apart.
  • โ€œ๐—ฅ๐—ข๐—”๐—ฆ ๐—ถ๐˜€ ๐—ป๐—ผ๐˜ ๐—ฎ ๐—ฏ๐—ถ๐—น๐—น๐—ฏ๐—ผ๐—ฎ๐—ฟ๐—ฑโ€: Ad spend directly influences BSR and organic rank. If you spend strategically, drive sales and reviews, and Amazon repositions you on the shelf.ย 
  • ๐Ÿฏ๐Ÿฌ% ๐—ฎ๐—ณ๐˜๐—ฒ๐—ฟ ๐Ÿฎ๐Ÿฐ ๐—ต๐—ผ๐˜‚๐—ฟ๐˜€: On one ~$30-AOV account, over 30% of sales happened more than a day after the click.
  • ๐—ฆ๐—ฝ๐—ผ๐—ป๐˜€๐—ผ๐—ฟ๐—ฒ๐—ฑ ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜๐˜€: Lots of potential, thin results so far with one or two sales per campaign, not even live in half of Destaneyโ€™s accounts. But, users are being retrained by ChatGPT to search by prompt, and Amazon will follow.

Destaney is exactly the kind of practitioner this show is built for: no guru talk, just hard-won reps across hundreds of categories. If you want to understand where Amazonโ€™s search page is heading and what to do about it, start here.

Timestamps:
00:22 Welcome to RetailPlaybook
00:40 Andrew's intro
01:11 Meet Destaney Wishon, CEO of BTR Media
01:23 From Bentonville: optimizing bids without software
02:26 Customized SERPs, explained
02:57 Inside Amazon's whole-page-optimization paper
04:32 The numbers: brand relevance and revenue uplift
04:54 From "the everything store" to the next advantage
06:26 One product, many shoppers: the protein example
07:11 Beyond ROAS: long-term sales
08:37 The 3 Cs: context, customer, content
13:05 The bumblebee problem
14:07 The risk: authenticity and killing discovery
17:11 The $200 birdhouse: audiences as bid modifiers
21:34 Why ROAS isn't a sufficient objective
24:16 30% of sales after 24 hours: rethinking day-parting
25:27 Sponsored prompts: hype or opportunity?
27:31 Move money upper funnel, drive branded search
28:16 Alexa for Shopping and the search bar merge
32:09 The future of Amazon in two buckets
33:39 Wrap-up


๐Ÿ‘‰ Connect with Destaney Wishon: https://www.linkedin.com/in/destaney-wishon/
๐Ÿ‘‰ Learn more about BTR Media: https://www.btrmedia.com/
๐Ÿ‘‰ Check out the report: https://cdn.amazon.science/e8/5c/f3531e25435494a35483c62028a8/scipub-approval152129-40664328-design-and-evaluation-of-wholepage-experience-optimization-for-ecommerce-search.pdf

๐Ÿง  Want to stay ahead in AI commerce? Subscribe and follow along:
๐Ÿ“ฐ Subscribe to the free Substack: retailplaybook.ai
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RetailPlaybook | Agentic Commerce Strategies for Amazon, Walmart, & TargetBy Andrew Bell