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

Andrew Bell

RetailPlaybook, provided by ReFiBuy and written by Andrew Bell, equips brands with cutting-edge research, original playbooks, and future-proof strategies for agentic commerce, helping you optimize for AI shopping assistants like Amazon's Rufus, Walmart's Sparky, and Target's shopping assistant.

Episodes

  1. 2d ago

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

    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. 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 RetailPlaybook00:40 Andrew's intro01:11 Meet Destaney Wishon, CEO of BTR Media01:23 From Bentonville: optimizing bids without software02:26 Customized SERPs, explained02:57 Inside Amazon's whole-page-optimization paper04:32 The numbers: brand relevance and revenue uplift04:54 From "the everything store" to the next advantage06:26 One product, many shoppers: the protein example07:11 Beyond ROAS: long-term sales08:37 The 3 Cs: context, customer, content13:05 The bumblebee problem14:07 The risk: authenticity and killing discovery17:11 The $200 birdhouse: audiences as bid modifiers21:34 Why ROAS isn't a sufficient objective24:16 30% of sales after 24 hours: rethinking day-parting25:27 Sponsored prompts: hype or opportunity?27:31 Move money upper funnel, drive branded search28:16 Alexa for Shopping and the search bar merge32:09 The future of Amazon in two buckets33:39 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.ai๐Ÿ“บ Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailplaybooks

    Two Shoppers, Two Different Amazons: BTR Media CEO Destaney Wishon on the Customized SERP
  2. Jul 15

    The Dual Flywheel: PPC Ninja CEO Ritu Java on Winning Both A9 and Alexa for Shopping

    Episode 2 is a tactical deep dive into how brands stay visible on Amazon as AI reshapes search. Andrew sits down with Ritu to map how the old keyword world (A9) and the new conversational one (Alexa for Shopping) actually work together rather than replacing each other. It's part strategy, part myth-busting, and full of concrete moves you can apply to your listings this week. Highlights The dual flywheel: Rituโ€™s core framing, keyword search (A9) and conversational search (Alexa) are two flywheels you have to spin at the same time. โ€œWeโ€™ve gotta spin both these flywheels simultaneously.โ€A9 isnโ€™t going anywhere: โ€œIf thereโ€™s one thing Amazon cares more about than AI, itโ€™s its bottom line.โ€ They wonโ€™t torch years of proven search science overnight.Cosmo isnโ€™t A9: Cosmo is one knowledge graph among many at Amazon, it adds semantics, inference, and personalization, but it did not โ€œreplaceโ€ A9. Different animals running in parallel.Three step-ups from A9: What Alexa does that keyword search canโ€™t: semantics (โ€cozy blanketโ€ = soft blanket), inference (โ€best shoes for mountain climbingโ€ โ†’ hiking boots), and personalization (a gamer and a commuter searching โ€œheadphonesโ€ get different results).Noun phrase optimization: Rituโ€™s five-part recipe for a title that AI understands determiner, adjective (pre-modifier), noun adjunct, head noun, and prepositional phrase (post-modifier). โ€œThe ultra-lightweight, waterproof hiking boots with durable rubber solesโ€ beats a comma-stuffed keyword string.The Prompts Report: Thereโ€™s already a report in the advertising console showing which prompts triggered which campaigns, plus impressions, clicks, and attributed sales, though data is still sparse with a short look-back window.66% and above the fold: More than 66% of sales happen on page one, and the majority above the fold, which is why organic alone wonโ€™t cut it and the organic-to-ads (OA) ratio matters.Page one is the gate: โ€œYou have to be on page one in A9 to even be considered in the poolโ€ Alexa draws from and personalizes.โ€œAmbientโ€ and ubiquitous: Rituโ€™s prediction: Alexa for Shopping becomes ambient, reachable from every surface (phone, watch, product page, Lens Live), not just a search box.Ritu is one of the sharpest minds working in Amazon today, and this conversation is a masterclass in staying visible as search gets smarter. Enjoy the conversation. Timestamps: 00:30 Welcome to RetailPlaybook 00:49 Andrew introduces the show and guest Ritu Java 01:31 "We say yes to both", A9 and Rufus as a dual layer 02:29 Ritu's background: engineer, 17 years in Japan, Etsy 04:11 Data science school and discovering Amazon 05:14 Building PPC Ninja and the listings flywheel 07:12 The dual flywheel, explained 08:23 Two AI nerds: "fabling" before the show 08:40 A9 vs. Alexa, organic and ads on both 10:04 How ads pushed organic below the fold (66% on page one) 13:01 Getting comfortable with conversational search 14:33 The "shopping mission" and cognitive load 15:47 Search hasn't changed, it's gotten intelligent 17:35 The Prompts Report in the ad console 20:28 A9 history and the A10 myth 23:16 Cosmo: one knowledge graph among many 24:59 Why page one of A9 is the gate to Alexa 25:46 The Bumblebee problem 26:50 Where Alexa is headed: ambient and ubiquitous 28:56 Agentic ads and off-site ads 31:29 The dual flywheel diagram: keyword vs. conversational 32:55 Step-up 1: semantics 33:38 Step-up 2: inference 34:03 Step-up 3: personalization (gamer vs. commuter headphones) 35:33 Noun phrase optimization: the 5 parts 39:47 Item name vs. item highlights: does SEO power move? 42:39 Why hero image optimization matters more now 43:52 Wrap-up and where to follow Ritu ๐Ÿ‘‰ Connect with Ritu Java: https://www.linkedin.com/in/ritujava/๐Ÿ‘‰ Learn more about PPC Ninja: https://www.ppcninja.com/ ๐Ÿง  Want to stay ahead in AI commerce? Subscribe and follow along:๐Ÿ“ฐ Subscribe to the free Substack: retailplaybook.ai๐Ÿ“บ Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailplaybooks

    The Dual Flywheel: PPC Ninja CEO Ritu Java on Winning Both A9 and Alexa for Shopping
  3. Jun 24

    Alexa for Shopping: the New Playbook for Agentic Commerce Optimization on Amazon

    Scot Wingo sits down with Andrew Bell, ReFiBuy's new VP of Research and host of the new RetailPlaybook channel, for a deep dive on Alexa for Shopping, Amazon's patent playbook, and what agentic commerce optimization looks like across Amazon, Walmart, and Target. This is a launch episode. We're announcing two things at once: Andrew Bell joining ReFiBuy as VP of Research, and the debut of RetailPlaybook. Going forward Andrew hosts Retail Playbook himself, but for episode one Scot jumped in to introduce the channel and interview Andrew in person. It's airing here on Retailgentic as a crossover.  Highlights:  โ€ข ๐—š๐—ผ๐—ผ๐—ฑ ๐—”๐—–๐—ข ๐—ถ๐˜€ ๐—ฝ๐—น๐—ฎ๐˜†๐—ฏ๐—ผ๐—ผ๐—ธ-๐˜€๐—ฝ๐—ฒ๐—ฐ๐—ถ๐—ณ๐—ถ๐—ฐ: "Good ACO on Amazon means optimizing for Alexa for Shopping, while also keeping the basic mechanics of SEO" โ€” two distinct layers in symbiotic union, and a different playbook for every marketplace. โ€ข ๐Ÿญ๐Ÿฌ๐Ÿฌ ๐—บ๐—ถ๐—น๐—น๐—ถ๐—ผ๐—ป ๐˜‚๐˜€๐—ฒ๐—ฟ๐˜€: Amazon just announced its shopping agent (the artist formerly known as Rufus, now Alexa for Shopping) is reaching roughly 100 million people. โ€ข ๐Ÿฒ๐Ÿฌ% ๐—ฐ๐—ผ๐—ป๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ถ๐—ผ๐—ป ๐—น๐—ถ๐—ณ๐˜: Andrew is seeing conversion rates climb ~60% on product pages in particular. โ€ข ๐—”๐—บ๐—ฎ๐˜‡๐—ผ๐—ป'๐˜€ ๐—ฒ๐—ฐ๐—ผ๐—ป๐—ผ๐—บ๐—ถ๐—ฐ ๐—ฒ๐—ป๐—ด๐—ถ๐—ป๐—ฒ: ~$400B in counted revenue, with true GMV likely north of $600B once you account for third-party sales. โ€ข ๐—•๐˜‚๐—ถ๐—น๐˜ ๐—ผ๐—ป ๐—–๐—น๐—ฎ๐˜‚๐—ฑ๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—ก๐—ผ๐˜ƒ๐—ฎ: Alexa for Shopping runs on Claude, Amazon's own Nova, and custom models โ€” and the question that matters is "is your product being reasoned through?" โ€ข ๐—ง๐—ต๐—ฒ ๐—ฝ๐—น๐—ฎ๐˜†๐—ฏ๐—ผ๐—ผ๐—ธ ๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐—น ๐—บ๐—ผ๐—ฑ๐—ฒ๐—น: Andrew frames each marketplace like a different era of basketball, Jordan's two-pointer game vs. today's spread, zone-defense, three-point era. Different era, different playbook. โ€ข ๐—™๐—ฟ๐—ผ๐—บ ๐—”๐—ป๐—ฐ๐—ถ๐—ฒ๐—ป๐˜ ๐—š๐—ฟ๐—ฒ๐—ฒ๐—ธ ๐˜๐—ผ ๐—”๐—ฆ๐—œ๐—ก๐˜€: Andrew studied Ancient Greek and preaching, then self-taught business by reading every book on the Barnes & Noble shelf over six months. โ€ข ๐—ฃ๐—ฎ๐˜๐—ฒ๐—ป๐˜ ๐—ง๐˜‚๐—ฒ๐˜€๐—ฑ๐—ฎ๐˜†: Andrew reads Amazon's granted patents every Tuesday (and non-granted ones Thursday), scoring each on a levels 1โ€“5 framework because "patents are Amazon's playbook of the future." โ€ข ๐——๐˜‚๐—ฒ๐—น๐—ถ๐—ป๐—ด ๐—จ๐—–๐—ฃ ๐˜๐—ต๐—ฒ๐—ผ๐—ฟ๐—ถ๐—ฒ๐˜€: Andrew thinks Amazon joined the universal commerce protocol to publish its data outward; Scot thinks they'll pull UCP inward. They agree to see who's right. A new channel, a new voice, and a host who reads Amazon patents for fun. If you sell on Amazon, Walmart, or Target, as a brand or a third-party seller, this is the playbook you'll want open. Enjoy the conversation. Timestamps: 01:02 Scot introduces the new podcast02:39 In studio โ€” Retailgentic x Retail Playbook, first time meeting IRL03:06 Andrew joins ReFiBuy as VP of Research + channel launch04:13 The vision for Retail Playbook (and how it differs from Retailgentic)05:54 "ACO everywhere" โ€” answer engines vs. retailer-hosted agents06:09 Amazon's scale: $400B+ and 100M Rufus users06:55 60% conversion lift; vertical + horizontal agents; built on Claude and Nova08:34 Why playbooks work โ€” the Jordan-vs-LeBron era model11:48 "Christopher Nolan style" โ€” rewinding to Andrew's story12:02 Andrew's background: Ancient Greek, Bible school, self-taught12:23 Touch of Class: $100K/mo to $4M, 1,500 pages by hand13:00 GPT store, tens of thousands of sellers, 1,000 ad campaigns15:08 NFPA: unauthorized resellers and 3x buy box16:25 "Amazon Science Made Simple" โ€” patents as source of truth18:08 Patent Tuesday and the levels 1โ€“5 framework19:07 Use-case language and predicting the Alexaโ€“Rufus fusion20:51 How Alexa for Shopping ranks: 100 โ†’ 30 โ†’ the best 5โ€“822:39 Full autonomy: price-trigger auto-buy23:18 Sparky goes live on the web โ€” and where Walmart lags25:35 The Death Star flywheel and Amazon's selection obsession27:34 Shop Direct and the dueling UCP theories28:53 ChatGPT's 20% commerce intent and the horizontal flank30:49 Back to Retail Playbook: the first Substack and query-planning optimization32:13 Where to follow Andrew + outro ๐Ÿ‘‰ Connect with Andrew Bell: https://www.linkedin.com/in/andrew-bell-540403275/๐Ÿ‘‰ Learn more about RetailPlaybook: www.retailplaybook.ai ๐Ÿง  Want to stay ahead in AI commerce? Subscribe and follow along:๐Ÿ“ฐ Subscribe to the free Substack: retailplaybook.ai๐Ÿ“บ Watch episodes on YouTube & Subscribe for updates: https://www.youtube.com/@Retailplaybooks

    Alexa for Shopping: the New Playbook for Agentic Commerce Optimization on Amazon

About

RetailPlaybook, provided by ReFiBuy and written by Andrew Bell, equips brands with cutting-edge research, original playbooks, and future-proof strategies for agentic commerce, helping you optimize for AI shopping assistants like Amazon's Rufus, Walmart's Sparky, and Target's shopping assistant.