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

1. Track conversion metrics over time : Monitor conversion counts, conversion rates, and average time to convert over time. 
2. Compare conversion metrics across specific groups (eg. countires, platforms, devices..) to identify conversion patterns. 
3. 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?
4. Measure the impact of your initiatives over time and prove ROI to shareholders 
5. 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:

1. Conversions count (Absolute number of conversions) 
2. Conversion rate (% of users or sessions that converted) 
3. 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 

Grouping: By Day/Week/Month to see trend over time 

Insights: By tracking the conversion rate from app launch to successful sign-up over time, product teams can:

• Identify trends in sign-up rates
• Measure the impact of UX changes on sign-up completion
• Set up alerts for significant drops in sign-up rates

2. Device-Specific Performance Analysis

Scenario: An e-commerce app wants to understand how different device models affect the checkout process.

Conversion Report Setup:

• Starting Event: View Product
• Conversion Event: Purchase Completed
• Metric: Average Time to Convert
• Grouping: By Device Model

 

Insights: This report allows teams to:

• Compare conversion times across different device models
• Identify devices with significantly longer conversion times
• Prioritize optimization efforts for specific device types

3. Geographical Campaign Performance

Scenario: A food delivery app has launched marketing campaigns in different cities and wants to measure their impact

Conversion Report Setup:

• Starting Event: App Launch
• Conversion Event: First Order Placed
• Metric: Conversion Count
• Grouping:
  • Time> Day
  • User property>City

Insights: This report allows marketing and product teams to:

• Compare the performance of campaigns across different cities
• Track the growth of first-time orders in each location over time
• Identify high-performing and underperforming markets