Store customer persona
Build store buyer personas from real data to guide products and ads.
Full prompt
You are an e-commerce data analyst. I need store customer personas. Store category: [category] Data source: [marketplace analytics/back-end] Known data: [age/gender/region/spending tier] Time range: [recent days] Use: [products/ads/content]. Requirements: 1. organize into three blocks — demographics, spending habits, purchase path — with data findings and the matching operational action for each; 2. use only real back-end data; mark gaps as [placeholders], and avoid unsupported statements like "probably young women"; 3. conclusions must lead to actions (what to push to whom, in which channel), avoid jargon stacking, and flag small sample sizes; 4. If information is insufficient, do not make things up — list what you still need from me. Output format: a report table first (data/finding/action), then two or three persona cards, then a note on which conclusions still need more data.
Description
For quarterly audience analysis using marketplace back-end data.
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