The result
| Variant | Reply rate | Meeting rate |
|---|---|---|
| Text-only first touch | 28.8% | 4.1% |
| Personalised video first touch | 40.4% | 6.4% |
Sample
2025, eleven weeks, 8,385 prospects. Companies of 50 to 200 employees. IT directors and CTOs. Three accounts, split at random inside each.
Why it works
Video is expensive to fake at scale, and everybody knows it. A thirty-second clip addressed to one person is proof that a human was involved, which no amount of text personalisation can now provide, because text personalisation has been automated for a decade.
It also front-loads trust. Outbound normally asks a stranger to evaluate a proposition before they know anything about the person making it. Video reverses the order: they see who you are first, and the proposition arrives attached to a face rather than a signature block.
The part that surprised us was the durability. Most format effects in outbound decay within weeks as the tactic spreads. This one did not move over eleven weeks across three separate accounts, which suggests it is working on something more fundamental than novelty.
How to apply it
Thirty seconds, one point, one question. The same structure as the text message that won: what prompted you to write, the problem in their words, one question.
Show something on screen if you can: their site, their careers page, the thing you are referring to. It removes any doubt that the video was made for them.
Model the cost properly before rolling it out. Video adds real production time per prospect, so it competes with volume. At 50 to 200 employee companies it paid for itself; at very high volume with small deal sizes it may not.
What this test does not tell you
One size band, 50 to 200 employees, and one persona group, IT directors and CTOs. Eleven weeks is long enough to rule out short-term novelty but not long enough to say what happens when video outbound becomes common. Production cost is not captured in the reply and meeting figures.
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 8: a personalised video first touch against text only, from The Prospectio Outbound Evidence Report 2026.