Explore observed second-purchase intervals and customer cohorts from an order CSV, using a local downloadable browser tool. Map the columns and review the historical pattern alongside your own records.

You receive a ZIP with the standalone HTML tool, instructions and fictional examples. Extract it and open the HTML in your browser. One-time purchase, not a subscription or hosted service.

Supported input is deliberately narrow: included orders need explicit paid status, a valid nonnegative total and one explicit three-letter currency. Mixed currencies, conflicting repeated-order summaries and invalid totals/refunds are rejected. Partial refunds reduce reported value but remain in historical timing with a warning; product-level returns are unresolved.

Read before buying: incomplete history and customer-identity assumptions can distort results. Use an explicit date format for ambiguous dates and reconcile counts and totals manually. This is descriptive analysis, not a prediction of the best send time, proof of marketing consent or evidence that reminders increase revenue. No Shopify/Klaviyo integration or universal export compatibility is promised. Process only authorized data; copied/exported records remain on your device and require careful handling.

Early version. The owner reported checking representative export counts and totals; automated logic tests also passed. This is not independent certification of every browser, store export or device.