Create beelines from a funnel analysis

Beelines are ad hoc data analyses that fork from a point in the result of an exploration. The system propagates the context of the forking point to the new analysis, where you can continue further analysis. When you create a beeline (from the original or a beeline tile), you can see it following the original exploration, and the page scrolls automatically.

Use this when you want to know whether conversion rates differ between user groups. For example, whether free-tier users drop off at a higher rate than enterprise users.

Use this when you want to understand whether conversion varies by a property – for example, by device type, region, or plan tier.

Use this when you want to investigate what converted users have in common or drill into their behavior after conversion.

Use this when you want to understand what dropped-off users have in common or what they did after leaving the funnel.

Use this when you want to see the sequence of events that converted users took before or after reaching a stage.

Use this when you want to understand where users went after dropping off at a stage – for example, whether they navigated to a help page or exited the product entirely.

Use this when you want to save converted users as a reusable cohort – for example, to target them in a follow-up analysis or experiment.

Use this when you want to save dropped-off users as a reusable cohort – for example, to analyze their behavior or re-engage them.

Use this when you want to examine individual journeys within the converted group – for example, to understand the specific path a high-value user took through the funnel.

Use this when you want to examine individual journeys within the dropped-off group – for example, to identify where a specific user encountered friction.

Find conversion drivers measures which behaviors most increase the likelihood of converting to the selected stage. It is available only when the funnel measures the number of users converted to each stage. The selected stage must not be the first, so the funnel needs at least two stages.

The analysis opens preconfigured with the following:

The results reflect the time window set on the parent funnel analysis. The results show each behavior's impact on conversion and its prevalence among the included actors. They also show the total number of included actors.