Guide to Analyzing User Conversion in Mixpanel Reports

June · 2025-08-05T15:59:15.366Z

hi kapa, i'm new to mixpanel and i need to prepare these reports. The goal is to understand if these events correlate to the user conversion. Can you give me a step by step guide on how i can achieve to show and visualise this in mixpanel please: Assumption A1: [Users] who [create] [2 or more] [Playlists] [during their first session] ie onboarding and first login have a significantly higher trial-to-paid conversion rate than those who do not.

Guide to Analyzing User Conversion in Mixpanel Reports | Mixpanel Community

2 comments

· Sorted by Oldest

kapa.ai
APP
·
·
Hi June, Please stand by as I search the Mixpanel knowledge base for an AI-powered answer. I normally take about 15 seconds or so. In case AI cannot answer your question, feel free to reach out to Mixpanel support at mixpanel.com/get-support. If you have follow-up questions for this thread, please tag me again with your question: @kapa.ai <follow-up question> 👋
Feel free to ask a follow-up question once I've answered by mentioning me with @kapa.ai
kapa.ai
APP
·
·
Absolutely! Here’s a step-by-step guide to test your assumption (A1) in Mixpanel: whether users who create 2 or more Playlists during their first session have a higher trial-to-paid conversion rate.---
1. Define Your Goal Event
Your goal event is “trial-to-paid conversion.” Make sure you have an event that tracks when a user converts from trial to paid.---
2. Define Your Correlation Event
Your correlation event is “Create Playlist.” You want to focus on users who create 2 or more playlists during their first session.- Use Mixpanel’s First Time Filter to isolate actions during the first session. This helps you analyze only the first instance or actions within the onboarding period. You can filter for the first session by using event properties or session-based filters if available in your implementation. - Set a frequency filter: users who did “Create Playlist” at least 2 times during their first session. Analyzing First Time Users---
3. Use the Signal Report for Correlation Analysis
Mixpanel’s Signal report is designed to quantify the correlation between a “correlation event” (e.g., creating playlists) and a “goal event” (e.g., trial-to-paid conversion).
Steps:
1. Go to the Signal report in your Mixpanel project. 2. Select your target users (e.g., all users who started a trial). 3. Set the Goal Event to your trial-to-paid conversion event. 4. Set the Correlation Event to “Create Playlist,” and apply: - A filter for “at least 2 times” - A filter for “during first session” (using session or timestamp properties) 5. Click Correlate.Signal will calculate the correlation (using the phi coefficient) and provide an “opportunity score” to help you interpret the results. You’ll see if creating 2+ playlists in the first session is strongly associated with higher conversion rates. Signal: Quantify correlation between two events---
4. Visualize and Interpret Results
- The Signal report will show a summary card with the correlation strength and opportunity score. - Click into the detailed view for a heatmap showing how frequency and timing of “Create Playlist” relate to conversion. - Review supporting statistics like precision, recall, and fall-out to understand the impact. Interpreting Signal Results---
5. (Optional) Create Cohorts for Further Analysis
- Create a cohort of users who created 2+ playlists in their first session. - Compare their conversion rates to those who did not, using Insights or Funnels reports for additional context. Setting up cohort analysis in Mixpanel---Summary: - Use the Signal report to directly measure and visualize the correlation between “Create 2+ Playlists in first session” and “trial-to-paid conversion.” - Use filters and frequency settings to match your assumption. - Visualize results in Signal and optionally create cohorts for deeper analysis.If you need help with the exact filters or have questions about your event setup, let me know!
kapa.ai is still learning and improving, please let me know how I did by reacting below.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

kapa.ai
APP
·
·
Hi June, Please stand by as I search the Mixpanel knowledge base for an AI-powered answer. I normally take about 15 seconds or so. In case AI cannot answer your question, feel free to reach out to Mixpanel support at mixpanel.com/get-support. If you have follow-up questions for this thread, please tag me again with your question: @kapa.ai <follow-up question> 👋
Feel free to ask a follow-up question once I've answered by mentioning me with @kapa.ai
kapa.ai
APP
·
·
Absolutely! Here’s a step-by-step guide to test your assumption (A1) in Mixpanel: whether users who create 2 or more Playlists during their first session have a higher trial-to-paid conversion rate.---
1. Define Your Goal Event
Your goal event is “trial-to-paid conversion.” Make sure you have an event that tracks when a user converts from trial to paid.---
2. Define Your Correlation Event
Your correlation event is “Create Playlist.” You want to focus on users who create 2 or more playlists during their first session.- Use Mixpanel’s First Time Filter to isolate actions during the first session. This helps you analyze only the first instance or actions within the onboarding period. You can filter for the first session by using event properties or session-based filters if available in your implementation. - Set a frequency filter: users who did “Create Playlist” at least 2 times during their first session. Analyzing First Time Users---
3. Use the Signal Report for Correlation Analysis
Mixpanel’s Signal report is designed to quantify the correlation between a “correlation event” (e.g., creating playlists) and a “goal event” (e.g., trial-to-paid conversion).
Steps:
1. Go to the Signal report in your Mixpanel project. 2. Select your target users (e.g., all users who started a trial). 3. Set the Goal Event to your trial-to-paid conversion event. 4. Set the Correlation Event to “Create Playlist,” and apply: - A filter for “at least 2 times” - A filter for “during first session” (using session or timestamp properties) 5. Click Correlate.Signal will calculate the correlation (using the phi coefficient) and provide an “opportunity score” to help you interpret the results. You’ll see if creating 2+ playlists in the first session is strongly associated with higher conversion rates. Signal: Quantify correlation between two events---
4. Visualize and Interpret Results
- The Signal report will show a summary card with the correlation strength and opportunity score. - Click into the detailed view for a heatmap showing how frequency and timing of “Create Playlist” relate to conversion. - Review supporting statistics like precision, recall, and fall-out to understand the impact. Interpreting Signal Results---
5. (Optional) Create Cohorts for Further Analysis
- Create a cohort of users who created 2+ playlists in their first session. - Compare their conversion rates to those who did not, using Insights or Funnels reports for additional context. Setting up cohort analysis in Mixpanel---Summary: - Use the Signal report to directly measure and visualize the correlation between “Create 2+ Playlists in first session” and “trial-to-paid conversion.” - Use filters and frequency settings to match your assumption. - Visualize results in Signal and optionally create cohorts for deeper analysis.If you need help with the exact filters or have questions about your event setup, let me know!
kapa.ai is still learning and improving, please let me know how I did by reacting below.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

2 comments

1. Define Your Goal Event

2. Define Your Correlation Event

3. Use the Signal Report for Correlation Analysis

Steps:

4. Visualize and Interpret Results

5. (Optional) Create Cohorts for Further Analysis