We need to analyze severe customer journey drop off points in our SaaS onboarding funnel; how do I build a multi-channel funnel report in GA4 to isolate the friction?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need to analyze severe customer journey drop off points in our SaaS onboarding funnel; how do I build a multi-channel funnel report in GA4 to isolate the friction?
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
GA4 funnel exploration steps breakdown segment comparisons traffic source dimensions documentation Google Analytics Google ↗
Google Analytics 4 funnel exploration open funnel indirect next action segment comparisons official documentation Google ↗
- [GA4] Funnel exploration · support.google.com
- [GA4] Funnel exploration · support.google.com
- API dimensions and metrics | Google Analytics | Google for Developers · developers.google.com
- [GA4] Path exploration · support.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
GA4 funnel exploration steps breakdown segment comparisons traffic source dimensions documentation Google Analytics OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Google Analytics 4 funnel exploration open funnel indirect next action segment comparisons official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |