Analyzing my app's "products" to find improvements

I've been wondering which areas of Repeat Customer Insights were most used by customers so I can prioritize my time.

Yesterday I started an analysis to look at the "traffic" for each report. If I consider each report as it's own product, then use a lot of the product analysis tools I have can be reused.

One interesting finding is that the least used report was used 1/10th as much as the most used. That's a sign to me that the least-used report isn't as valuable and shouldn't get as much attention or resources.

I'll still keep it but it won't see as many improvements as the other reports.

Unless...

I can find out see which customers use that least used report. Are the high CLTV customers using it more? The long-time customers? etc.

That would go beyond just looking at the popular reports and seeing which reports have the better behavior (repeat buyers).

It could be the least used report is the most used for the important customer segments.

That analysis is similar to the First Product Analysis the app does for Shopify stores. It looks at the products in first orders and compare how those customers behave over their lifetime.

That's how to find products that grow the best customers instead of only best selling products.

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.

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Topics: Product analysis

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