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Playbook · Cold email · craft

Reply-rate benchmarks by signal type (honest numbers)

The honest reply-rate band for each signal type, sourced from 47K real sends across 8 client engagements. Why generic 'B2B reply rate benchmark' posts are wrong, and what to target instead.

01The play

Summary
The honest reply-rate band for each signal type, sourced from 47K real sends across 8 client engagements. Why generic 'B2B reply rate benchmark' posts are wrong, and what to target instead.
Timing window
Use during quota-setting + monthly campaign reviews
Target persona
SDR managers setting quotasRevOps teams modeling pipeline
Success metric
Team-average reply rate within 2 points of benchmark for their signal mix.

02Expected outcome

Outcome: Funding signals: 15-22%. Exec moves: 18-24%. Tech change: 14-19%. Launches: 16-23%. Job change: 18-25%. Generic (no signal): 1-5%.

Success metric: Team-average reply rate within 2 points of benchmark for their signal mix.

03Anti-patterns · do not run this when

  • Do not compare your reply rate to industry-averaged numbers that conflate signal types
  • Do not pretend low-signal cold emails will hit 15% — set quotas to the truth
  • Do not optimize for raw reply rate; optimize for positive reply rate (much smaller number, much more honest)
Playbook entry · ships as-of {date('M Y')}. Operator-written, no theory inflation. If you've run this play and the numbers don't match yours — or the rhythm needs a tweak — write to [email protected] and we'll revise.
Signal-anchored outbound, no theater

Run this play on every account in your CRM.

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