Cold email benchmarks 2026: what 1,160,919 real client sends produced
Across 1,160,919 cold emails sent in 344 campaigns for 45 clients over 90 days, the reply rate was 1.21%, the bounce rate was 2.58%, and 14.07% of classified replies were positive. Measured against unique prospects contacted rather than emails sent, the same replies give 2.70%.
Methodology
- 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.
The benchmark table
| Metric | Figure | Numerator | Denominator |
|---|---|---|---|
| Reply rate, all replies | 1.21% | 14,058 replies | 1,160,919 sent |
| Reply rate, excluding out-of-office | 0.96% | 11,175 replies | 1,160,919 sent |
| Reply rate per prospect | 2.70% | 14,058 replies | 520,706 prospects |
| Positive share of classified replies | 14.07% | 1,935 positive | 13,750 classified |
| Positive replies per email sent | 0.17% | 1,935 positive | 1,160,919 sent |
| Bounce rate | 2.58% | 29,985 bounces | 1,160,919 sent |
The repeated "3 to 5%" is the same replies counted against a softer denominator.
Where the inflation comes from
It is what you get counting every reply, including out-of-office, against prospects rather than sends. Nobody states the denominator, so nothing is comparable.
Out-of-office replies are 20.5% of all replies here, 2,883 of 14,058. A benchmark counting those as engagement is partly measuring annual leave.
How to compare your own numbers
If your tool reports against prospects, compare to 2.70%. If against sends, compare to 1.21%.
If it does not say, it is probably counting prospects and including auto-responses, so expect it to look roughly twice as good as the same campaign measured against sends.
1.21% is an average, and it includes the tests that lost
This is the number most people want, so it is worth saying what is inside it. We ran 1,244 copy variants across 283 campaign builds in this window, an average of 4.4 per campaign. Most variants lose, which is the whole point of running them, and every one of those losers is in the 1.21% alongside the winners.
| Percentile | Reply rate |
|---|---|
| Bottom 10% of campaigns | 0.42% |
| Median campaign | 1.05% |
| Top 10% of campaigns | 2.25% |
| Best campaign in the window | 3.87% |
The 112 campaigns that sent at least 1,000 emails, 99.7% of all volume in the study.
The best campaign ran at 9x the bottom decile. Treat 1.21% as a floor for a programme that is still testing, not a ceiling for one that has found its angle: the figure a team should plan on is wherever its own winner settles, and the testing volume is how it gets there. The full breakdown is in the parent report.
The rest of the study
The parent report
Every headline figure in one place, with the full methodology and what we deliberately do not report.
Deliverability by email gateway
Google Workspace against Microsoft 365 across 13,722 classified replies. The gap is delivery, not interest.
LinkedIn outreach benchmarks
11,701 connection requests across 10 clients. 83.6% of the funnel is lost before a single message is sent.
Who actually replies, by seniority
Founders at 13.51%, VPs at 2.87%, and why the middle of the org chart performs worst.
Frequently asked questions
What is a good cold email reply rate in 2026?
1.21% against sends across 344 client campaigns, 2.70% against unique prospects. Above 4% against sends is a warm list or a different denominator.
What counts as a positive reply?
A real question, a request for a call, or a referral. Not an out-of-office, not an unsubscribe, not a polite no.
Why is the bounce rate only 2.58%?
Every address is verified before sending. Unverified lists routinely bounce above 8%, and the damage to the sending domain outlasts the campaign.
Does a higher reply rate mean a better campaign?
No. Reply rate counts rejections too. The number that tracks pipeline is positive replies per email sent, 0.17% here.
Why is 1.21% lower than the numbers in your case studies?
Because this is an average across every campaign including the copy variants that lost, and most variants lose by design. The median campaign ran 1.05% and the best ran 3.87%. A case study describes a campaign after the testing has found its winner; this benchmark describes all of them at once.
Want these numbers run on your own list?
If your own numbers look nothing like these in either direction, it is usually the denominator or the deliverability. The call sorts out which.
Source: Danish Lead Co delivery platform / Window: 25 June to 23 September 2026 / Population: 45 client companies, 344 campaigns, 1,160,919 emails, 520,706 unique prospects / Aggregate and anonymised. Danish Lead Co's own campaigns excluded. / Updated quarterly.