Real ChatGPT answer · index seedNYA8r9T9GU4completeMarketing and advertising · web analyticscomparison
What are the most common mistakes people make with UTM parameters that completely break campaign attribution reporting in Google Analytics
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the most common mistakes people make with UTM parameters that completely break campaign attribution reporting in Google Analytics
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 UTM parameters campaign attribution default channel group medium source campaign documentation Google ↗
GA4 campaign URL parameters redirects internal links cross-domain measurement documentation Google ↗
- Traffic-source dimensions, manual tagging, and auto-tagging · support.google.com
- Traffic-source dimensions, manual tagging, and auto-tagging · 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 UTM parameters campaign attribution default channel group medium source campaign documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
GA4 campaign URL parameters redirects internal links cross-domain measurement documentation OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |