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

Segment your customers to find the diamonds in the rough

Not all customers are equal but it is difficult to dig through all of your data to find the best customers.
Repeat Customer Insights will automatically analyze your Shopify customers to find the best ones. With over 150 segments applied automatically, it gives your store the analytics power of the big stores but without requiring a data scientist on staff.

Learn more

Topics: Cohort analysis Repeat customers

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