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Read a retention cohort table

Prompt that explains a cohort table, compares cohorts at the same age and separates chance differences from real trends. Paste it into an AI tool of your choice, which then explains the table.

Topic
Spreadsheets & data
Type
Prompt
Level
Intermediate
Time
about 8 min

Results depend on the tool, the model and what you enter.

Result preview

Example: written by our editors, not real AI output.

Structure: rows = month of first purchase, columns = months since then, values = share of customers who bought again. Largest drop: from month 0 to month 1 (100% → 31 to 38%), similar in all cohorts. Same age compared: month 3 is 22% for the January cohort and 27% for the April cohort. Caution: the June cohort has only 84 customers; the last two columns are not complete yet. Answer: the new onboarding probably helped, because later cohorts keep more customers at the same age. The difference is small and based on a few months. More certain with: month 3 of the June and July cohorts.

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Your prompt

This is an instruction for an AI, not the result itself.

Where this prompt works

These AI tools are a good fit for this prompt:

How to use it

  1. Fill in the fields or tap a suggestion. Leave out names, addresses and other personal data.
  2. Copy the finished prompt into an AI tool of your choice.
  3. Check the figures quoted in the answer against the table before you use them in a report.

Why does this work?

Comparing cohorts at the same age separates real improvement from simply looking at older groups. The fixed check for small cohorts stops chance differences being presented as trends.

Tips

  • The most recent cohorts always look incomplete; compare them only up to the age they have actually reached.

Part of these agents

Metric change agent

Also a good fit

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