Real ChatGPT answer · index seedSK4S71e9XTscompleteMarketing and advertising · web analyticsinformational
What metrics should I look at in Mixpanel to diagnose where users drop off during an online checkout flow simulation?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What metrics should I look at in Mixpanel to diagnose where users drop off during an online checkout flow simulation?
1 real search · 1 real-search pass
Mixpanel documentation funnel reports conversion drop-off time to convert breakdowns checkout analyticsGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Mixpanel documentation funnel reports conversion drop-off time to convert breakdowns checkout analytics Google ↗
- docs/changelogs.mdx at main · mixpanel/docs · github.com
- Funnel analysis: Find conversion problems · mixpanel.com
- User Flow Analysis · mixpanel.com