Understanding Funnel Conversion Metrics: A to E Explained

Jorge C. · 2025-09-24 03:22:54.976974+00

My product has a funnel with steps A -> B ->C ->D ->E. Let's say I create a funnel report with a comparison like this: A ->B->C & E. Is it possible that the conversion for E is also counting those who did C?

Understanding Funnel Conversion Metrics: A to E Explained | Mixpanel Community

2 comments

· Sorted by Oldest

kapa.ai
APP
·
·
Hi Jorge C., 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
·
·
When you create a funnel report in Mixpanel and use the "comparison events" feature—such as setting up a funnel with steps A → B → C & E—Mixpanel will compute a segmented funnel that shows what percent of users reached each of these comparison events. This means that at the step where you have both C and E as comparison events, Mixpanel will show the conversion rates for users who reached C and for those who reached E, as separate segments.However, the knowledge sources do not explicitly state whether the conversion for E will also include those who did C, or if they are mutually exclusive. Typically, in funnel analysis, if a user reaches both C and E, they may be counted in both segments unless the tool specifically de-duplicates or separates the paths. But since the documentation does not clarify this behavior for comparison events, I cannot confirm with certainty how Mixpanel handles users who complete both C and E at that step.For more details on how to set up and interpret comparison events, see the documentation here: Funnels Advanced Concepts: Comparison Events.If you need to ensure that users are only counted in one segment (e.g., only those who did E and not C), you may need to use exclusion steps or cohorts, but this is not directly addressed in the context of comparison events in the provided sources.
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 Jorge C., 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
·
·
When you create a funnel report in Mixpanel and use the "comparison events" feature—such as setting up a funnel with steps A → B → C & E—Mixpanel will compute a segmented funnel that shows what percent of users reached each of these comparison events. This means that at the step where you have both C and E as comparison events, Mixpanel will show the conversion rates for users who reached C and for those who reached E, as separate segments.However, the knowledge sources do not explicitly state whether the conversion for E will also include those who did C, or if they are mutually exclusive. Typically, in funnel analysis, if a user reaches both C and E, they may be counted in both segments unless the tool specifically de-duplicates or separates the paths. But since the documentation does not clarify this behavior for comparison events, I cannot confirm with certainty how Mixpanel handles users who complete both C and E at that step.For more details on how to set up and interpret comparison events, see the documentation here: Funnels Advanced Concepts: Comparison Events.If you need to ensure that users are only counted in one segment (e.g., only those who did E and not C), you may need to use exclusion steps or cohorts, but this is not directly addressed in the context of comparison events in the provided sources.
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.