Spotting behavioral changes in your customers

In data-heavy reports like Repeat Customer Insights' Cohort Report it can be difficult to understand what the data is telling you.

Example of a cohort report

That's why the report uses shading in addition to the values.

The shading is automatic and makes it easier to spot changes, trends, and outliers without having to read and compare every single cell.

For example, in the sample above for the first cohort there was a small jump in orders in October (column 5) and a major drop in March of the next year (column 10).

That's easier than reading 11%, 16%, 13%, 10%, 13%... "hmm, I guess that 16% was a good month"... 8%, 1%, 12%, 3%... "wait, what happened to cause that 1% month?"

If you're not using Repeat Customer Insights yet, a simple install is all it takes to have it start compiling these cohort reports for you.

You might be surprised at how many ideas are just sitting there in your data.

Eric Davis

Refine your automated marketing campaigns with better timing

When building any automated marketing campaign that sends messages over time, you need to know how long the campaign should be and how long to delay the messages. The Customer Purchase Latency metrics calculated by Repeat Customer Insights can help you figure out that timing.

Learn more

Topics: Cohort analysis Repeat customers

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