Paste a cold email. Predicted reply rate + specific improvement suggestions tied to 2026 deliverability rules.
Paste a cold email. AI predicts your reply rate against 2026 deliverability + persuasion benchmarks and prescribes specific rewrites.
Cold (no prior relationship, no list opt-in): 1-4% reply rate on quality lists with hyper-personalization. 0.2-0.8% on generic blast templates. Warm-intro chains hit 8-15%. The model bands accordingly — strong score ≥5% predicted, viable ≥2%, marginal <2%.
Reply rate drops sharply above 120 words. 60-100 words is the sweet spot — enough to establish relevance and make one clear ask, short enough that the prospect can scan and decide in 8 seconds. Most underperforming cold emails are 200+ words.
Anything tied to the prospect's specific work — a recent post they wrote, a feature their company shipped, a hire they made, a problem their public job posting reveals. {first_name} alone is generic and prospects pattern-match it as automation; specific references signal "this human did research."
Cold email is the highest-AI-tells-cost surface in marketing — inboxes are flooded with AI-generated outreach in 2026, so any tell ("delve into", "leverage", "I hope this finds you well") instantly maps to "this is a bulk template, archive". Human-sounding cold email gets 3-5x the reply rate.
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