Cold-email reply-rate calculator, benchmarked honestly.

Across B2B segments, 1-3% is the floor (typical for generic, list-blast outreach), 4-8% is the average for targeted outreach with light personalization, and 10%+ is the top decile — usually achieved with hyper-specific, signal-driven copy. The biggest lever isn't volume; it's how specific each message is to the lead's actual situation.

Internal data across founders running outbound on Overwise shows median 12% reply rate, with a 3.4× lift vs. templated cold email in our A/B testing (12k sends, 2026). The lift comes from cite-or-discard message verification — every claim has to be supported by a signal we scraped, so the copy reads as researched rather than generic.

Any human response — positive, negative, question, OOO, or 'wrong person'. Auto-replies and bounces don't count. The calculator just divides total replies by total sent; classification (positive/negative/etc) is a separate dimension you'd want to track once you're past raw-volume optimization.

They're directional bands synthesized from publicly published cold-email reports (Hunter's 2024 State of Cold Email, Mailshake benchmarks, Lemlist's annual reports, Apollo's published 2023-2024 medians, GMass aggregate stats). Not internal Overwise data — we'll publish empirical bands from our own send corpus once the sample size per segment is large enough to be defensible. For now: use them as rough targets, not gospel. Your actual rate depends heavily on list quality, copy specificity, sender reputation, and ICP saturation.