Real ChatGPT answer · index seedvEmKcDTCTrMcompleteMarketing and advertising · social media marketinghowto
What are the best practices for setting up UTM tracking parameters to accurately measure Threads app referral traffic in our enterprise analytics suite?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best practices for setting up UTM tracking parameters to accurately measure Threads app referral traffic in our enterprise analytics suite?
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
Meta Threads referral traffic UTM parameters analytics tracking documentation Google ↗
Google Analytics UTM parameters campaign URL builder source medium campaign documentation Google ↗
- How to Track Traffic From Meta's Threads · parse.ly
- How to collect analytics data from Meta’s Threads · usefathom.com
- URL builders: Collect campaign data with custom URLs · support.google.com
- UTM Tracking Guidelines · umarcomm.umn.edu
- API dimensions and metrics | Google Analytics | Google for Developers · developers.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Meta Threads referral traffic UTM parameters analytics tracking documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Google Analytics UTM parameters campaign URL builder source medium campaign documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |