I am sending fifty cold emails to potential design clients this afternoon. What is the current average response rate and the best subject line formula to get replies?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I am sending fifty cold emails to potential design clients this afternoon. What is the current average response rate and the best subject line formula to get replies?
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
2026 cold email average reply rate benchmark positive reply rate study design agencies subject lines Google ↗
2026 cold email subject line best practices personalization concise relevance reply rates research Google ↗
- Cold Email Response Rates: What 1,288,605 Emails Say (2026) · sales.co
- The State of Email Outreach · hunter.io
- Marketing Agencies Cold Email Reply Rate Benchmarks (2026) · revenueflow.com
- Cold Email Subject Line Grader: Reply Data From 911K Prospects · sales.co
- B2B Cold Email Subject Lines and Engagement (2025 Study) · belkins.io
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 cold email average reply rate benchmark positive reply rate study design agencies subject lines OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
2026 cold email subject line best practices personalization concise relevance reply rates research OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |