Using keyword and competitor data gathered during product research — not assumption or gut feel — to sketch a specific buyer persona before finalizing a product or its positioning. The guiding question: what was this customer thinking about right before they bought a competitor's product?
Distinct from Brand Analytics Demographics Tool (Customer Avatar), which derives the persona from Amazon's own demographic reporting on existing buyers; this method builds the persona earlier, directly from research-stage keyword/competitor signals, before a listing or sale history even exists. Feeds directly into Pain-Point Hyper-Targeting Advertising — you can't hyper-target a pain point you haven't identified.
Beyond image testing, split-testing panels (e.g. Helium 10 Audience Tool (Shopper Image-Preference Survey)/Pikfu) can be pointed at pure focus-group-style open questions to build the target customer avatar — e.g. "who do you turn to for advice when buying new dog food?" or "who do you follow for trending products?" — with no image or listing involved.
Apply the answers to product strategy, go-to-market planning, and which influencers/channels to court, not just to which image wins.
Из тем: Product Research & Validation