Real ChatGPT answer · index seedr0gRP7IWJ5gcompleteMarketing and advertising · ad platformsinformational
How do I reconcile attribution reporting discrepancies between HubSpot CRM and Google Analytics for our top-of-funnel paid search campaigns
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I reconcile attribution reporting discrepancies between HubSpot CRM and Google Analytics for our top-of-funnel paid search campaigns
1 real search · 1 real-search pass
HubSpot documentation traffic source properties original source latest source paid search attribution reports UTM parameters GA4 attribution model differences Google Analytics documentationGoogle ↗
OBSERVEDReason
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
HubSpot documentation traffic source properties original source latest source paid search attribution reports UTM parameters GA4 attribution model differences Google Analytics documentation Google ↗
- Scopes of traffic-source dimensions · support.google.com
- Campaigns and traffic sources · support.google.com
- Understand Original and Latest traffic source properties · knowledge.hubspot.com
- Understand HubSpot's traffic sources in the web traffic analysis tool · knowledge.hubspot.com
Queries
1 queries · click a column to sort