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.
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
Use cohorts to find out who the best customers are in your Shopify store
Repeat Customer Insights will automatically group your customers into cohorts based on when they first purchased. This will let you see how the date customers bought would impact their behavior.
This originally appeared on the LittleStream Software Blog and is made available here to cast a wider net of discovery.
