> ## Documentation Index
> Fetch the complete documentation index at: https://statsig-4b2ff144-serverless-cloudflare.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Funnel Metrics

> Create custom funnel metrics to track user conversion rates through multi-step processes.

You can create a custom **funnel metric**, from either the **Custom Metrics** creation wizard in the **Metrics Catalog** or via the **Charts** tab.

<Frame>
  <img src="https://user-images.githubusercontent.com/101903926/172472515-c94b264c-85a6-4b78-bf12-769585e4880d.png" alt="Funnel metric creation interface" />
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## Components of Funnel Metrics

Funnel metrics have a few components:

1. **Lineage**: Surfaces the events used to generate the funnel
2. **Metric Value**: Metric value represents the overall funnel conversion rate, or the percentage of users who complete a funnel (trigger the end event) relative to all users who start the funnel (trigger the starting event)
3. **Roll-up Window**: Funnel metrics are calculated on a daily basis.
4. **Conversion Rate between Stages**: This set of metrics track the percentage of users who triggered an event N relative to all users that triggered event N-1 in the funnel

<Frame>
  <img src="https://user-images.githubusercontent.com/101903926/172446711-5511e394-b353-4d38-97f1-1b681b67042b.png" alt="Funnel components diagram" />
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After funnels are created and populated, you can view your funnel metric much like any other metric in Pulse. Additionally, you can expand the funnel metric to view Pulse performance at each step in the funnel.

## User-based Funnel Metrics

When counting distinct events, funnel metrics add the number of events per day over the analysis period. When counting distinct users, funnel metrics add the number of distinct users per day over the analysis period.

Suppose a funnel consists of events A, B, and C, in that order. User-based funnel metrics count the number of distinct users who triggered events A, B, and C on a given day. If you're tracking funnel conversion over multiple days, the daily granularity of funnel metrics may not be a good fit for your analysis.

## Example

In the example below, the **Square** variant shows a lift in the **overall funnel conversion rate**. Expanding the metrics to examine the entire funnel reveals two key insights:

* Both the **Square** and **Circle** variants show a lift in top-of-funnel DAU (*Land Page View Start DAU*). However, only the **Square** variant shows statistically significant increase in end-of-funnel DAU (*Purchase Event End DAU*).
* The overall funnel conversion rate improvement for **Square** is primarily due to the higher conversion from *Checkout Event* to *Purchase Event* stages in the funnel.

<Frame>
  <img src="https://user-images.githubusercontent.com/90343952/148440643-8e8a24bd-934d-4100-a15a-abcbcc4bb11c.png" alt="Funnel experiment results showing Square variant performance" />
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