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EnhancementFor new feature suggestions that enhance Matomo's capabilities or add a new report, new API etc.For new feature suggestions that enhance Matomo's capabilities or add a new report, new API etc.
Description
The goal of this issue is to define a Retention Analysis report for Piwik. Retention analysis is sometimes called Cohorts and is a powerful analysis technique.
Quote:
There are few issues more important than customer retention when running software-as-a-service businesses.
Resources
- Retention Analysis the Right Way
- Cohort Analysis - Measuring Engagement over time
- Cohort analysis with GA
- Performing cohort analyses with Snowplow
Cohort analysis report
Cohort analysis report will allow to analyse the following metrics over time (by day, week, month based on Piwik date selector):
- retention % (% users that signed in = % users for which we recorded a visit),
- retention (number of users that signed in = number of users for which we recorded a visit),
- revenue (value of in-app purchases = value of ecommerce conversions)
- conversion rate (% users that made an in-app purchase = % users with ecommerce conversion)
- event X where X can be any event name tracked (% users that triggered the event X)
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i.e. level ups, items used, gifts sent etc.
by the following cohorts:
- sign up date (first visit in Piwik for particular user),
- last sign in (last visit in Piwik for particular user),
- last purchase (last e-commerce conversion in Piwik for particular user),
- first purchase (first e-commerce conversion in Piwik for particular user).
if you any suggestion or comment, please leave a message here!
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EnhancementFor new feature suggestions that enhance Matomo's capabilities or add a new report, new API etc.For new feature suggestions that enhance Matomo's capabilities or add a new report, new API etc.