comparing sixabc attribution reporting to standard ga4 for multi touch attribution which gives clearer data
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
comparing sixabc attribution reporting to standard ga4 for multi touch attribution which gives clearer data
2 real searches · 1 real-search pass
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 (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
SixABC attribution reporting multi touch attribution platform GA4 Google ↗
"SixABC" attribution reporting Google ↗
- Change the reporting attribution model for key events · support.google.com
- Select attribution settings · support.google.com