Funnel metrics are one of the most popular metric types in product analytics. They are especially helpful to measure user journeys through a series of steps. For example, if you want to measure user conversion through a subscription flow, e.g. Start → Description Page → Payment Info → Confirm; or identify pain points in a registration flow, e.g. Welcome Page → Ask for Phone Number/Email → Authentication → Logged-in Page.
Statsig has had powerful funnels you can analyze for experiment impact in Warehouse Native for a while now, including session-level funnel metrics. Now, we’re rolling out even more enhancements. These include:
Configurable completion windows per-step, i.e. how long this step can take to occur after the previous step
Treating the “exposure” of the experiment as the implicit start event of the funnel, meaning your reported funnel conversion rate maps to the actual rate at which people finished them in your experiment
Built-in allowance for timestamp noise, which is useful to mitigate deviations in logging; this includes control over comparison type, and a configurable grace period for clock jitter
For more information about this feature, you can check the documentation. These features are available to all Statsig Warehouse Native users today.