Compare your cohort analysis to find customer behavior changes

One of the great benefits of a cohort analysis is that you can compare how time changes customer behavior.

When cohorts are month-based, like in Repeat Customer Insights, you can compare the vertical columns to see how customers behave after e.g. 1 month, 2 months, 6 months.

Example cohort analysis

That'll let you notice changes in revenue, AOV, or overall ordering behavior. When one is much higher or lower than the others, that's a good candidate for investigating deeper.

Use percentages and you can even compare busy to slow periods.

Eric Davis

Segment your customers automatically with RFM

Segmenting your customers has always been touted as a powerful marketing tool but many stores avoid it because it can be time-consuming.
Repeat Customer Insights will automatically segment your entire customer base for you based on the valuable data Shopify has already collected for you. Ranging from 5 to 30 to over 125+ different segments using RFM and other models, you can pick how much power you want to harness.

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Topics: Customer analysis Cohort analysis