The result
| Variant | Replies | Meetings | Meeting rate |
|---|---|---|---|
| First response after 48h | 3,240 replies | 116 meetings | 3.6% |
| First response inside 24h | 6,880 replies | 1,472 meetings | 21.4% |
Sample
Rolling measurement across all 41 accounts, 10,120 inbound replies. Measured on replies received rather than prospects contacted.
Why it works
A reply is not interest, it is a window. The person who answers your message has, for a few hours, an active thought about the problem you named. Two days later that thought is gone, the context has to be rebuilt, and the reply that felt worth sending now feels like a commitment they did not intend to make.
There is a second mechanism that matters more at volume. Slow responses cluster. A team that answers in three days is a team where nobody owns the inbox, which means the third and fourth touches are also late, the meeting gets scheduled three weeks out, and the no-show rate climbs. The 24-hour number is partly measuring response speed and partly measuring whether anyone is actually running the campaign.
How to apply it
Assign the inbox to one named person, with a named backup for holidays. Not the team, one person.
Put a calendar link in the first response. Our booking-link test found it does not change reply rate at all and lifts meetings by 8 percent, which is exactly what you would expect from something that removes friction after the decision rather than before it.
If you cannot answer within 24 hours consistently, reduce your send volume until you can. Sending more while answering slower is the most common way outbound programmes waste money, because you are paying to generate replies you then discard.
What this test does not tell you
This is measured on inbound replies, not on prospects contacted, so it is not directly comparable to the other tests on this page. It is also observational rather than randomised: we did not deliberately delay responses to half the list. The direction is unambiguous across all 41 accounts, but some of the gap will reflect that well-run campaigns are both faster and better in other ways.
Method
One variable at a time. A test alters a single element; if two things change we learn nothing. Prospects were split at random inside each client account, holding industry, geography, seniority and company size constant on both sides. No test was called below 2,000 prospects per arm, because outbound is noisy at low volume. Reply rate is reported as the leading indicator and meeting rate as the decision, because several variants lifted replies and produced no extra meetings at all, and those were not rolled out.
This test is one of fifteen in a dataset covering 389,890 prospects and 15,018 meetings across 41 client programmes and 17 clients, run between 2018 and 2026. The full set is on the 2026 outbound benchmarks page.
Cite this page as: Prospectio.ai, Test 1: answering inbound replies within 24 hours, B2B Outbound Benchmarks 2026.