State of B2B Outbound 2026: what 1,160,919 real client sends produced

Both the 1.21% and the 2.70% are true. They differ only in what sits under the line, and almost every published benchmark quietly uses the flattering one.

Source

Danish Lead Co's own delivery platform, the system that runs client campaigns day to day. All figures are aggregate and anonymised. No client, campaign or prospect is identifiable.

Window

25 June to 23 September 2026, a 90-day window.

Population

Client campaigns only: 45 client companies, 344 campaigns, 1,160,919 emails, 520,706 unique prospects. Danish Lead Co's own prospecting and its sub-brand campaigns are excluded.

Classification

Replies are classified by our own inbox system, not by the sending tool. Positive means the prospect asked a real question, asked for a call, or referred us on. Out-of-office is counted separately and never as positive.

What we left out, and what it would have done

Our own outbound ran 606,599 sends in the same window at a 0.75% reply rate, materially below what we produce for clients. Blending it in would have reported 1.06% instead of 1.21%. We exclude it because a benchmark for agency-run client campaigns should measure agency-run client campaigns, and we disclose it because excluding data silently is how benchmarks become marketing.

Definitions, in full

Every figure on this page is a blended average across every campaign we ran in the window. That includes the tests that lost, and there are a lot of them, deliberately.

We ran 1,244 copy variants across 283 campaign builds in this period, an average of 4.4 per campaign and as many as 13 on a single one. Most of them lose. That is what testing is: there is no way to find the angle that beats the current winner without also running the ones that do not. Those losing variants are inside the 1.21% next to the winners, which is the honest way to report it and also the reason the headline looks modest.

The spread across campaigns

The 112 campaigns that sent at least 1,000 emails, which is 99.7% of all volume in the study. The remaining campaigns are too small for a rate to mean anything. The blended average across these 112 is 1.21%, the same as the headline.

The best campaign in the window ran at 9x the bottom decile and 3.2x the blended average. A single number cannot describe that distribution, and any benchmark that gives you one without the spread is hiding the part that matters.

This is the mechanism, not an excuse

A campaign that opens near the median and ends in the top decile gets there by discarding variants. The discarded ones are the cost of the finished one. So a benchmark like this is best read as a floor for a programme that is still testing, not a ceiling for one that has found its angle.

Why it matters for scaling

A team planning headcount and pipeline off a 1.21% average and a team planning off a proven 2.5% winner are running two different businesses. The point of the testing volume is to move an account from the first to the second and then hold it there. That is what turns outbound into something a company can forecast rather than something it hopes about.

We are not publishing a meeting rate, a booking rate, or a meeting count presented as representative. That is unusual for an agency report, so here is exactly why.

It is measured for a minority of clients

Calendar tracking is connected for 12 of the 45 clients in this window. Two of those twelve account for 97% of every meeting recorded, 917 and 182 against single digits for everyone else. A rate built on that describes two accounts, not a benchmark.

It is incomplete where it is connected

Our largest tracked account launched in February 2025 and its first recorded booking is March 2026, so roughly thirteen months of real activity carries no booking rows at all. Reading its meetings per send would understate it by an order of magnitude.

It is contaminated where it is complete

30 meetings are recorded against clients before the date we started working with them. The calendar connection pulls in whatever lands on that calendar, so a client's own inbound sits in the same table as ours with nothing to separate them. We cannot attribute those to outbound, and neither should anyone else.

And attendance is not captured at all

The no-show field is empty on every record in the system. That is a tracking gap, not a 0% no-show rate, and reporting it as a show rate would be inventing a number.

All four are being fixed. Until they are, the email figures above are measured end to end on every campaign, which is why they are on this page and a meeting rate is not.

Reply rates by industry. We can see which industries replied, but there is no sends-per-industry denominator in the data, so an industry reply rate cannot be calculated. A table of positive-reply counts by industry without denominators looks like a ranking and is not one, so it is not here.

Mailbox and domain counts. The figure our reporting produces for this is visibly broken and we are not publishing a number we cannot stand behind.