I need to analyze user drop-off between our mobile app and our desktop website, how do I build a user-scoped cohort analysis in GA4 before my afternoon briefing?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I need to analyze user drop-off between our mobile app and our desktop website, how do I build a user-scoped cohort analysis in GA4 before my afternoon briefing?
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
GA4 user-scoped cohort analysis User-ID platform device category cohort exploration official documentation 2026 Google ↗
Google Analytics 4 Explorations cohort exploration user scope segment sequence official documentation Google ↗
- [GA4] Cohort exploration · support.google.com
- Send user IDs | Google Analytics | Google for Developers · developers.google.com
- Get started with Explorations · support.google.com
- [GA4] Apply segments and filters, and view users · support.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
GA4 user-scoped cohort analysis User-ID platform device category cohort exploration official documentation 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Google Analytics 4 Explorations cohort exploration user scope segment sequence official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |