My recent email campaign caused a massive spike in unsubscribes and I need help analyzing where the messaging went wrong based on current consumer trends.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
My recent email campaign caused a massive spike in unsubscribes and I need help analyzing where the messaging went wrong based on current consumer trends.
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
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 consumer email marketing trends unsubscribe reasons survey relevance frequency trust privacy OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
2026 email marketing consumer preferences unsubscribe rates survey relevance frequency personalization privacy inbox fatigue OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |