E-Commerce Analytics & Reporting

Cohort Analysis

Customer cohort analysis to understand how retention, spending, and lifetime value evolve differently across different customer groups over time.

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Aggregate metrics hide important differences — customers acquired through different channels or at different times often behave very differently, and cohort analysis reveals patterns a single blended number obscures.

We build cohort analysis by acquisition channel, time period, or other relevant segments, informing both marketing and retention strategy.

Cohort definition strategy (by channel, time, or segment)
Retention and repeat-purchase curve analysis
Cohort-based CLV comparison
Strategic recommendations based on cohort differences
FAQ

Common Questions

What decisions does cohort analysis actually inform?

It commonly reveals which acquisition channels bring genuinely valuable long-term customers versus one-time buyers — directly informing where to allocate acquisition budget.

How much historical data do we need for meaningful cohort analysis?

More history generally produces more reliable patterns, but even 6-12 months of data can reveal useful early signals depending on your purchase frequency.

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