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What are the common pitfalls to avoid when setting up Fivetran connectors for marketing attribution data across Facebook and Google Ads
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the common pitfalls to avoid when setting up Fivetran connectors for marketing attribution data across Facebook and Google Ads
1 real search · 1 real-search pass
Fivetran Facebook Ads connector documentation attribution windows sync schema Google Ads connector documentation historical data syncGoogle ↗
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
Fivetran Facebook Ads connector documentation attribution windows sync schema Google Ads connector documentation historical data sync Google ↗
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