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Weekly Store Performance Report From Exports

Structured brief

Turn raw numbers into a one-page business review.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

Create a weekly performance report from my store data. Data pasted below covers [DATE_RANGE] with the previous period for comparison: [PASTE_DATA]. Goals this month: [GOALS].

Produce a one-page report with these sections:
1. Headline (one sentence): what happened.
2. Scorecard table: revenue, orders, average order value, conversion rate, sessions, new vs returning customers, refund rate, ad spend, and profit if given. Show change versus the previous period in absolute and percent terms, and color words (up, flat, down).
3. Three things that moved most and plausible reasons, with the evidence from the data, labeled as hypotheses.
4. Top and bottom five products by revenue and by margin.
5. Risks (inventory shortfalls, rising refunds, ad efficiency).
6. Three actions for next week, each with an owner and a measure of success.

Do not claim causes the data cannot show. Point out data quality issues. Use short sentences and no jargon. Finish with the single question the data cannot answer that I should investigate.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

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