Reply Rate

Reply rate is the percentage of cold outbound emails that receive any reply, including positive interest, soft nos, hard nos, and out-of-office bounces. It is the most honest single metric for outbound performance because open rates can be inflated by tracking pixels and click rates depend on link placement, but a reply requires the prospect to stop, read, and write something back. The honest industry rate for cold templated outbound to B2B funded buyers sits between 1% and 2%. A 1.5% reply rate on 500 emails a day produces 7 to 8 replies, of which roughly one is a genuine positive warm reply.

AI-personalized cadences move the number to 4 to 6%. The mechanic is research time per touch, not magic. A human SDR with an 80-email daily quota cannot spend five minutes reading a prospect feed before each email. An AI SDR running at agent compute cost can. The first touch references a real LinkedIn post from last week, a recent funding round, a job change in the team, or a specific product launch. Reply rates double or triple because the email behaves like a researched human note rather than a template with a name token. Same channel, same sender reputation, same cadence; the variable that moved was research depth.

Reply rate is the wrong number to optimize alone. A 6% reply rate with 5% soft nos is worse than a 4% reply rate with 3% positive interest. The metric that matters underneath reply rate is positive-reply rate, the percentage of warm replies expressing interest in a call or asking for more information. For funded teams running outbound through an AI Sales Department, the target is 4 to 5% total reply rate with 1 to 1.5% positive-reply rate. Below that, the targeting or messaging needs work. Above that, the team is consistently producing 20 to 40 warm replies per week per sending stack.