Clay's AI Agents Filled Out 6,346 Demo Forms. 93% of Companies Never Called Back.

Clay ran its own AI agents — Claygents — through 6,346 B2B demo and contact forms across 100 countries and industries, then timed how long it took anyone on the other end to respond. Only 32% of forms, 2,013 of them, got any email reply at all, and average response time ran 15 to 24 hours, stretching to 26-40 hours specifically for human-written replies. Just 7% — 445 of 6,346 — ever got a reply from an actual salesperson. Calls were rarer still: 96% of companies never called back, with roughly 100 calls placed across the entire sample.

The replies that did arrive split unevenly, too: 64% were automated versus 36% from a human, and personalization tracked almost entirely with which kind — 75.8% of human replies were personalized, versus 0.3% of automated ones. Bigger companies replied faster on average and had automated more of their first-touch response.

A real case study from 11x shows what the other end of that curve looks like. Mapped, a PropTech company, had one SDR managing outreach across nine verticals with poor deliverability and response rates. After deploying an AI outbound platform with intent-signal targeting, it saw a 75% increase in influenced pipeline, a reply rate 4x the industry average, meeting conversion at 3x target, and more than $1.2 million in generated pipeline — with campaigns live within 30 minutes of setup.

Read together, the two data points are the same story from opposite ends: most companies treat inbound as an afterthought — two-thirds never reply at all, 93% never pick up the phone — while a minority investing in fast, targeted, AI-assisted response pull measurably ahead on pipeline. Clay’s own recommendation tracks exactly what Mapped did: acknowledge every lead, give disqualified ones a real next step, personalize the replies that go out, and prioritize same-day calls to top-fit accounts — a practice both studies found to be rare enough that doing it at all is now a competitive edge.