Category: Improving Product Retention
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Break the journey to long term usage into smaller steps
If someone successfully uses your product once that doesn’t automatically turn them into a long term user. Behavioural data lets you reverse engineer how often people need to use your app to become long term users. You’ll need two things to do this: behavioural data and long term users. The definition of a long term…
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Using analytics to improve onboarding
Thinking of your onboarding experience as a funnel and using analytics to measure the biggest drop-offs is a useful way to find opportunities for improvement.Building a funnel means going through your onboarding experience and identifying every touchpoint that you need to track.The first thing that happens when you do this is you realise you need…
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An overall picture of your product
The reason I like retention curves is because they pack an incredible amount of information into one image.They tell you if a product has found fit straight out of the gate. When a retention curve draws to zero you have a leaky bucket. When your curve flattens out then you know your users have developed…
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Why Bother with Product Metrics?
Good data helps you make better decisions.You’re too close to your product to see things accurately. You need a clear way to see how people use things without relying on how you expect them to use things.Metrics are also useful for important conversations. Hard data is one way to escape a your-opinion-vs-theirs discussion. Product metrics…
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Core customer value and picking an activity to measure it
Defining and measuring the action that helps people solve the problem they signed up to solve allows you to optimise for core customer value. Picking the right action involves listing out all of the things people can do that indicate they’re addressing their primary motivation for signing up. There are a finite number of things…
Josh Pitzalis 