Conversion Analytics is a report type within dashboards that allows you to analyze conversions between two actions (from A to B) over time. This feature provides deeper insights into user behavior and conversion patterns that were not previously possible with traditional funnels.

Key Benefits

Track conversion metrics over time : Monitor conversion counts, conversion rates, and average time to convert over time.
Compare conversion metrics across specific groups (eg. countires, platforms, devices..) to identify conversion patterns.
Track average time to convert for critical user journeys: Did the recent search functionality enhancements reduce the time users take to find and purchase products?
Measure the impact of your initiatives over time and prove ROI to shareholders
Create conversion alerts to proactively monitor performance before it impacts your funnel.

How to create conversion reports?

Get started with the Report Library

We added a variety of reports in the report library to help you get started.

1 » Click "Add Report" in your dashboard

2 » Navigate to the "Conversions" tab

3 » Choose from pre-built report templates (e.g., average time to convert between screens, % of users who did Event A then Event B over time)

4 » Customize the report by selecting your desired start and end screens/events.

Building a report from scratch

1 » Click on build a report from scratch

2 » Select “conversions” as the report type

3 » Choose your conversion metric:

Conversions count (Absolute number of conversions)
Conversion rate (% of users or sessions that converted)
Average time to convert

4 » Define conversion criteria: Choose whether to track conversions by unique users or sessions.

Unique users : Conversions can occur across multiple sessions but you’ll need to define a conversion window in which the conversion must occur.
Sessions: Conversions must happen within a single session.

5 » Define the conversion path

Choose the starting point (e.g., app launch, product search started)
Set the conversion step (e.g., purchase completion, account creation)
Set your conversion window (for unique users : If tracking by unique users, specify the time frame within which the conversion must occur (e.g., within 24 hours, 7 days, or 30 days.

6 » Choose up to two grouping options

You can group by any time based grouping to track the conversion metric over time (eg. Time> daily, weekly monthly)
Break down by any other property to analyze the conversion trend over time across different user groups.
- Device type: Compare conversion rates between iOS and Android users to identify platform-specific optimization opportunities
- App version: Evaluate how new releases impact conversion rates, helping assess the effectiveness of updates
- User demographics: Analyze conversion patterns across age groups or locations to tailor your strategies for different user segments
- Acquisition source: Compare conversion rates from various marketing channels to optimize your user acquisition efforts and allocate resources effectively

7 » Apply additional filters or group settings:

Add any relevant filters to focus on specific user segments or behaviors.
Adjust group settings, such as show top/bottom performers or include/exclude “others” category.

8 ». Customize visualization: Choose from three display types

Chart: Select line graphs from trends over time
Table: Display comprehensive conversion data including count, rate, and average time to convert in a single view.

Numeric :Shows a single value

3 conversion reports example to set up

1. Optimizing Sign-Up Process

Scenario: A mobile app wants to improve its user acquisition by optimizing the sign-up process.

Conversion Report Setup:

Metric: Conversion Rate Percentage
Conversion criteria
- Unique users
- Starting Event: App Launch
- Conversion Event: Sign-Up Successful
- Within 1 day