Understanding Funnel Conversion Discrepancies Between A1 and A2

Romane T. · 2025-04-09 16:07:27.107632+00

I have a funnel "Action A -> Purchase". My action A can be A1 or A2 (there are only those 2 options) I want to see which option has more conversion : A1 or A2. • On mobile A1 has a best conversion than A2 • On desktop, A1 has a best conversion than A2 • But when I remove the filtering, A2 has a best conversion than A1. How is that possible ?

Understanding Funnel Conversion Discrepancies Between A1 and A2 | Mixpanel Community

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kapa.ai
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Hi Romane T., 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> 👋
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kapa.ai
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This is an interesting scenario in Mixpanel funnel analysis! What you're describing is a statistical phenomenon known as Simpson's Paradox, where a trend appears in different groups of data but disappears or reverses when these groups are combined.In Mixpanel's funnel analysis, this can happen due to several factors: 1. Population size differences: If there are significantly more users on one platform than another, the overall conversion rate will be weighted more heavily toward the platform with more users. For example, if desktop has many more A2 conversions than mobile, even though A1 converts better on both platforms individually, A2 might show better overall conversion when platforms are combined.2. Segmentation effects: When you break down your funnel by platform (mobile vs. desktop), you're creating segments that might have different user behaviors. When combined, these differences can create seemingly contradictory results.You can investigate this further using Mixpanel's advanced funnel features: - Use the Find Interesting Segments feature to automatically identify statistically significant segments that might be driving this behavior Find Interesting Segments- Check the breakdown of your funnel by platform and action type simultaneously to see the distribution of users across these segments Funnel analysis: Find conversion problems- Examine if there are any filters that might be affecting your results differently across segments FiltersThis type of paradox is actually quite common in data analysis and highlights the importance of segmentation in understanding your conversion patterns. It's a good practice to look at both segmented and overall data to get a complete picture of user behavior.
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
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·
·
Hi Romane T., 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
·
·
This is an interesting scenario in Mixpanel funnel analysis! What you're describing is a statistical phenomenon known as Simpson's Paradox, where a trend appears in different groups of data but disappears or reverses when these groups are combined.In Mixpanel's funnel analysis, this can happen due to several factors: 1. Population size differences: If there are significantly more users on one platform than another, the overall conversion rate will be weighted more heavily toward the platform with more users. For example, if desktop has many more A2 conversions than mobile, even though A1 converts better on both platforms individually, A2 might show better overall conversion when platforms are combined.2. Segmentation effects: When you break down your funnel by platform (mobile vs. desktop), you're creating segments that might have different user behaviors. When combined, these differences can create seemingly contradictory results.You can investigate this further using Mixpanel's advanced funnel features: - Use the Find Interesting Segments feature to automatically identify statistically significant segments that might be driving this behavior Find Interesting Segments- Check the breakdown of your funnel by platform and action type simultaneously to see the distribution of users across these segments Funnel analysis: Find conversion problems- Examine if there are any filters that might be affecting your results differently across segments FiltersThis type of paradox is actually quite common in data analysis and highlights the importance of segmentation in understanding your conversion patterns. It's a good practice to look at both segmented and overall data to get a complete picture of user behavior.
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.