Andrew Bell is VP of Research at ReFiBuy. His background is in Amazon marketplaces and AI search, including helping scale Amazon channels into the eight figures and beyond. At ReFiBuy, he works with brands and retailers on improving product data and monitoring how their products appear in AI shopping experiences, which gives him a practical reason to study what these systems show shoppers and how they describe the products they recommend.
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This is a solo research-and-playbook deep dive. Andrew Bell walks through a study of 100,000 shopping prompts tested from Amazonโs homepage context, looking at which products Alexa for Shopping shows, how it groups them, where they land, and what the explanation says. He turns the findings into three takeaways and a starting plan any e-commerce or product content team can use.
Highlights
๐ง๐ต๐ฒ ๐๐๐๐ฑ๐: 100,000 shopping prompts across several categories, tested from Amazonโs homepage context, tracking which products Alexa for Shopping showed, how they were grouped, where they were positioned, and what the explanation said.
๐ฆ๐ฒ๐บ๐ฎ๐ป๐๐ถ๐ฐ ๐๐ต๐ฒ๐น๐๐ฒ๐: A group of products organized around a particular need or reason to choose. One request like โbudget laptops for schoolโ splits into groups such as all-around MacBook, Windows laptops, two-in-one convertibles, and ultra budget picks.
๐ง๐๐ผ-๐๐ต๐ถ๐ฟ๐ฑ๐: Roughly two-thirds of products leading their own shelf were still below the first overall position.
๐ ๐ต๐ฎ๐ฟ๐ฑ ๐น๐ถ๐บ๐ถ๐ ๐ผ๐ป ๐ฐ๐ผ๐ฝ๐: โBetter copy can explain a productโs capabilities. It canโt give the product a capability it doesnโt have.โ
๐ช๐ต๐ถ๐ฐ๐ต ๐ด๐ฟ๐ผ๐๐ฝ๐ ๐ฎ๐ฝ๐ฝ๐ฒ๐ฎ๐ฟ ๐ณ๐ถ๐ฟ๐๐: Groups built around ratings, popularity, trust, and value showed up first more often than the baseline. Premium groups showed up first less often. These are presentation patterns, not ranking weights.
๐ง๐ต๐ฒ ๐๐ต๐ฟ๐ฒ๐ฒ ๐น๐ฒ๐ป๐๐ฒ๐: Review every response for the comparison, the explanation, and the reason to choose.
Showing up in the answer is only half the job, and this one is about the other half. Enjoy the episode.
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