Best Methods to Measure Average User Conversion Time and Distribution for a Specific Event
What is the best way to measure the time it takes the average user to convert on a specific event and see the distribution.
What is the best way to measure the time it takes the average user to convert on a specific event and see the distribution.
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To measure how long it takes users to convert on a specific event and see the distribution, use a Funnels report with Time to Convert:
1. Build a funnel - Step 1: Your starting event (e.g. “Signup Started”). - Step 2: Your target conversion event (e.g. “Signup Completed”). Funnels measure conversion between steps and support time-based analysis. [Funnels overview]
2. Use the “Time to Convert” measurement - In the Funnels report, change the measurement to Time to Convert. - This shows how quickly or slowly users convert between the selected steps, with aggregations like Average, Median, Percentiles, Min, Max. [Time to Convert; Counting methods]
3. View the average time to convert - Keep visualization as Metric or Bar to see a single summarized value (e.g. average time from Step 1 → Step 2). [Time to Convert]
4. See the distribution of conversion times - Add a Time to Convert breakdown in the same funnel. - Choose the step range (e.g. Steps 1–2) for the breakdown. - This shows a distribution of how long different users took to convert, and you can customize buckets or filter to specific time ranges. [Time to Convert]
This combination (Funnels + Time to Convert measurement + Time to Convert breakdown) is the recommended way in Mixpanel to get both the average and the full distribution of time to conversion for a specific event.
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kapa.ai is there a way to visualize which has the most users in each breakdown of TTC ?
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Yes. Using Time to Convert (TTC) as a breakdown in a Funnel lets you see which TTC buckets have the most conversions (i.e., users/funnel attempts):
1. In your Funnel, set Measurement to something count-based, e.g. Total Conversions or Unique Users. [Counting methods]
2. Add a Breakdown on Time to Convert, and choose the step range you care about (e.g. Steps 1–2). [Time to Convert]
3. Use a Bar or Table visualization: - Each bar/row is a TTC bucket. - The height/value is the number of conversions in that bucket, so you can immediately see which TTC ranges have the most users. [Time to Convert]
You can also customize the TTC bucket ranges or filter to specific ranges to focus on particular parts of the distribution. [Time to Convert]
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