Real ChatGPT answer · index seedA5nGb3g0PK8completeMarketing and advertising · web analyticscomparison
Compare the attribution accuracy of GA4 data-driven models versus linear attribution when evaluating long sales cycles for enterprise software leads.
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Compare the attribution accuracy of GA4 data-driven models versus linear attribution when evaluating long sales cycles for enterprise software leads.
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
Google Analytics 4 data-driven attribution methodology conversion lookback window documentation long sales cycle B2B Google ↗
GA4 attribution settings lookback window 90 days data-driven attribution eligibility requirements documentation Google ↗
- Select attribution settings · support.google.com
- Change the key event lookback window · support.google.com
- Get started with attribution · support.google.com
- Change the reporting attribution model for key events · support.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Google Analytics 4 data-driven attribution methodology conversion lookback window documentation long sales cycle B2B OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
GA4 attribution settings lookback window 90 days data-driven attribution eligibility requirements documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |