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.
Start noticing seasonal spikes in customer behavior
Cohort reports let you detect seasonal spikes as well as long-term retention cycles. Repeat Customer Insights can automatically create cohorts for your Shopify store, going back to your very first order.