Real ChatGPT answer · index seedPAlE5vvfKI4completeMarketing and advertising · web analyticscommercial
What is the best way to structure UTM parameters for a multi channel digital advertising campaign so our web analytics report accurate channel data without messing up our attribution?
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The searches the AI actually ran for this prompt.
SEED QUERY
What is the best way to structure UTM parameters for a multi channel digital advertising campaign so our web analytics report accurate channel data without messing up our attribution?
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). 1 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 manual campaign tagging UTM parameters traffic source dimensions channel grouping documentation Google ↗
Google Analytics campaign URL builder UTM parameters best practices attribution documentation Google ↗
- Traffic-source dimensions, manual tagging, and auto-tagging · support.google.com
- About traffic-source dimensions · 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 manual campaign tagging UTM parameters traffic source dimensions channel grouping documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Google Analytics campaign URL builder UTM parameters best practices attribution documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |