3 AI workflows under the "Repeat Purchase and Retention Analytics" topic. Each includes a copyable prompt and FAQs. Paste them into your preferred AI assistant or Spark agent and run it.
Repeat behavior is reported as a single number, which hides whether new or established customers moved. In this case, the immediate task is to measure repeat purchase behavior by cohort. The workflow should produce a repeat-purchase cohort analysis, using the merchant's order history by customer, first-purchase dates and agreed repeat definition.
Intervals are averaged across everyone, mixing customers with several orders and people who only bought once. In this case, the immediate task is to analyze the time between customer purchases. The workflow should produce a repeat-purchase cohort analysis, using the merchant's order history with customer identifiers, refund rules and observation window.
Retention work is planned from one list where long-standing customers and people who bought last week sit together. In this case, the immediate task is to estimate which customers may be ready to buy again. The workflow should produce a repeat-purchase cohort analysis, using the merchant's order histories, purchase dates and stated observation window.
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