Get the most out of Amplitude's Funnel Analysis chart
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Diagnose Conversion Issues with Funnel and Path Analyses
Analyze your users' movement throughout your product and understand how to improve conversion rates.
Get startedFunnel analysis has become the cornerstone of event-based analytics. A funnel is a series of steps a user takes as part of the experience of using your product. Product managers often try to encourage users to navigate these funnels to demonstrate product value and to increase engagement. Amplitude considers a user to have converted through a step in the funnel when they trigger the event in the order you've specified.
Users who don't convert have dropped off. Knowing which steps of your funnel lead to user drop-off is often a critical tool in improving engagement and stickiness.
Using Amplitude's Journeys features, you can identify and set up insightful funnels.
Identify funnel events: Which ones should you include
Funnels should track the flow of users along a critical path in your product. Each funnel step is a distinct action a user can take within a flow you want to analyze.
For example, an onboarding funnel may track the following events:
Create Account→SignUpPage1→SignupPage2→Registration Complete
For an e-commerce platform, tracking a purchase funnel might involve the following sequence of events:
View Item→Add to Cart→Checkout→Purchase Confirmation
These examples work well when you already know the paths your users take. However, it's impossible to know every possible navigation route within your platform, especially because the routes your customers use may at first seem counterintuitive. Amplitude has additional features to help:
- The Pathfinder feature shows the most commonly-taken event paths in your product, either following a specific start action or preceding a specific end action, and helps you discover the alternate navigation routes your users are already taking.
- Compass helps you find the event most correlated with retention, or your most important KPI.
The next step is uncovering the different paths users take before triggering these events, so you can encourage that behavior. Start by trying to understand the actions users take immediately before triggering Search Song or Video, by analyzing a flow ending with that event. You might find that Favorite Song or Video is the most commonly-triggered event immediately before the Search Song or Video event.
Look at this in the other direction. What events do users trigger immediately after searching for a song? To answer this question, build a starting-with flow, beginning with that event.
Design the funnel
When setting up your funnel, decide whether to use This Order, Any Order, or Exact Order mode. The first requires users to follow the specified order of events to count as converted, and they can also trigger additional events along the way. The conversion window can be much shorter for this mode: as little as one second. Any order counts all users who trigger the funnel steps in any order during the conversion window, which you can set anywhere between one and 90 days. Exact order works similarly to this order, but users can not trigger any other events along the way.
For more, refer to building a funnel analysis in Amplitude.
Imagine you've been sending push notifications to certain users to get them to play songs. However, you've found that many users trigger Add a Friend, Play Song or Video, and Add to Playlist close to each other. It may be worth understanding whether sending those push notifications actually makes those users more likely to also add more friends. If so, that insight validates the hypothesis that push notifications have a complementary effect on other major KPIs.
For more about the semantics of Amplitude's funnel conversion window, refer to Interpret your funnel analysis.
Building and interpreting your funnel analysis
After you've designed a funnel analysis that works for you, go to build a funnel analysis in Amplitude Analytics, and then learn how to interpret your results.
Acting on the funnel insights
Your next goal should be to create a retention loop where you can get more users to come back and take the wanted action: add more friends, which is correlated with retention, your main KPI in this scenario.
For example, go back to your funnel and use the Microscope feature to make cohorts of users who dropped off from the funnel at critical points, like Add To Playlist and Add Friends, and message them to take the corresponding actions.
Use an in-house messaging platform or one of Amplitude's push notification partners like Airship or Kahuna to message these cohorts.
Next steps
Now that you know about Amplitude's Funnel Analysis chart, the next step is to build one for yourself.
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