Retention Analytics

Measure user engagement with Retention Reports

Woopra’s Retention Reports use advanced, multi-channel aggregations to reveal user health and engagement over time. The days of excel manipulation, guesswork and surprise “goodbyes!” are over. Pick an initial action and measure for how long users continue to take that action over time.

For example, a SaaS company can measure for how long users continue to come back and use a key product feature.

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In the Retention Analytics report above, we see that user engagement declines progressively for the first few weeks, until weeks 4 and 5, where it spikes. This is a clear indication that something important is happening during those two weeks to bring users back.

Retention Analytics help you determine cause and effect

You can use Retention Analytics to measure how long users continue to perform an action after they perform a different action. This helps you understand how two behaviors are related to one another.

For example, our SaaS company may want to see how long users continue to come back and use a key feature after they subscribe to the newsletter.

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We see that 27.4% of customers use the feature one week after subscribing to the newsletter, 14.8% use the feature two weeks later, and so on. This helps us understand if our newsletter is driving engagement. You will notice that the percentage of users who continue to use the feature decreases each week. This is normal; what really matters is how this engagement changes over time, which brings us to our next point.

Compare cohorts to measure improvement over time

A cohort is a group of people who performed the initial action at the same time. When you compare these groups side by side, you can see how changes you make affect user retention.

For example, our SaaS company may want to see if their weekly newsletter updates have improved engagement. Using the same Retention Analytics report as above, the company can compare cohorts side by side.

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Though the trend is not very clear cut, we can see that newer cohorts seem to be performing slightly worse than older cohorts. This tells us that the company’s newsletter updates were not effective and it’s time for them to go back to the drawing board.

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