# Cold Outreach Benchmarks 2026: 4.2% of Prospects Replied

> Measured, not surveyed: 4.2% of 6,411 prospects replied to our cold email (2.07% per email) and 21.1% accepted a LinkedIn invite.

Source: https://sellsuccessfully.io/cold-outreach-benchmarks/

55,598 logged events · 29 December 2025 to 8 October 2026

## 4.2% of the people we cold emailed wrote back. *Per email, that's 2.07%*.

Everyone quotes a 3% to 5% reply rate without saying what it divides by. These are ours, with the denominator and the dates next to every rate: 12,973 delivered cold emails to 6,411 people at 3 B2B companies, and 706 LinkedIn invitations followed to their outcome. Not a survey and not one campaign that happened to work, counted straight out of the log that records every send and reply as it happens.

**Wouter van de Velde**14 years in sales, 8 of them B2B SaaS

In short

4.2% of the people we cold emailed wrote back: 269 of 6,411, across 3 B2B companies between 10 June 2026 and 6 October 2026. Per delivered email that's 2.07%, about one reply for every 48 emails, and the first email alone got 3.07%.

4.2%

of the prospects we cold emailed replied

2.07%

reply rate per delivered email

21.1%

LinkedIn invites accepted

## The raw counts

Everything below is a row count from 29 December 2025 to 8 October 2026: volume, not rates. Don't divide one row by another. The email rows include win-back mail to a company's own former users, which isn't cold, and sends from before 10 June 2026, when reply logging started. The LinkedIn request rows include failed attempts. The rates on this page come from the cleaned cuts linked below the table.

| Event | Channel | Count |
| --- | --- | --- |
| Emails sent, win-back included | Email | 49,848 |
| Replies logged, auto-replies included | Email | 443 |
| Connection requests logged, failed attempts included | LinkedIn | 1,539 |
| Connection requests withdrawn | LinkedIn | 1,826 |
| Messages sent to connections | LinkedIn | 286 |
| Profile views generated | LinkedIn | 1,219 |
| Booking-link clicks | LinkedIn | 139 |
| Total logged events | Both | 55,598 |

Three deeper cuts of the same log, each with its own method and limits: [cold email follow-ups, reply rate by sequence step](https://sellsuccessfully.io/cold-outreach-benchmarks/follow-ups/), [LinkedIn outreach, every invitation followed to its outcome](https://sellsuccessfully.io/cold-outreach-benchmarks/linkedin/), and [B2B email verification and list decay](https://sellsuccessfully.io/cold-outreach-benchmarks/email-verification/). If you want to see where these numbers sit next to everyone else's, I put every public vendor report side by side, with its sample and its definition of a reply, in [every public cold email benchmark, compared](https://sellsuccessfully.io/cold-outreach-benchmarks/compared/). For the European market around it (buying online, cloud and AI adoption, the outbound rules), see [European B2B sales statistics](https://sellsuccessfully.io/european-b2b-sales-statistics/).

## What the numbers actually say

### Same replies, two honest denominators: 4.2% per person, 2.07% per email.

269 of the 6,411 people we cold emailed wrote back: 4.2%. Those same 269 replies over the 12,973 emails it took, first emails and follow-ups together, is 2.07%, and the first email alone got 3.07%. Both are true. They divide by different things, which is exactly what a quoted 3% to 5% usually doesn't tell you. Ours includes the segments that died and the lists that turned out to be wrong, and leaves out what flatters a rate: bounces, out-of-office replies, win-back mail and every send from before replies were logged. If a vendor quotes you a rate without telling you what it's divided by, they've told you nothing. The method and the per-step numbers are on the [follow-up statistics](https://sellsuccessfully.io/cold-outreach-benchmarks/follow-ups/) page.

### LinkedIn converts far better per touch, and you can't buy more of it.

21.1% of invitations were accepted: 149 of 706 sent between 7 July 2026 and 15 September 2026, each given at least 35 days. A cold list accepted 18.6%. People who had engaged with one of my posts first accepted 65.8%, a small group of 38, so treat that one as a direction, not a benchmark. Once connected, people talk: of the 263 who accepted an invitation anywhere in the log, 43.3% replied at some point, against 4.2% of the people we emailed. The channel is also capped: LinkedIn limits invitations per week, and pushing past that gets the account restricted. The one that converts best is the one you can't buy more of, which is exactly why the two run together. Every invitation, followed to its outcome, is on the [LinkedIn outreach](https://sellsuccessfully.io/cold-outreach-benchmarks/linkedin/) page.

### Withdrawn invitations are a feature, not waste.

449 of those 706 invitations went unanswered and were withdrawn, more than were accepted. That's normal, and withdrawing them is the point: LinkedIn caps how many invitations can sit pending, so leaving dead ones open silently throttles everything behind them. Most outreach setups never withdraw anything and then wonder why volume quietly collapses after a few months.

### Plan the list size backwards from the reply rate.

At one reply per 48 emails, and with only a fraction of replies becoming meetings, ten meetings a month from email alone takes about 3,200 emails a month if 30% of replies are interested and half of those book. Those two are my planning assumptions, not measured. That's a sending-infrastructure problem before it is a copy problem, which is the part most founders discover after their main domain is already burned. The [cold email domain checker](https://sellsuccessfully.io/tools/cold-email-domain-checker/) shows whether a domain is set up for it before you find out the hard way.

## Method, and what this is not

- **Source.** Every send, reply, connection, withdrawal and click is written to an event row at the moment it happens. The volume table is a straight count of those rows.
- **Windows.** Volume: 29 December 2025 to 8 October 2026. Cold email rates: emails sent 10 June 2026 to 6 October 2026, replies counted to 20 October 2026. LinkedIn rates: invitations sent 7 July 2026 to 15 September 2026.
- **Excluded from the rates.** Bounced emails, out-of-office replies, win-back mail to a company's own former users, sends from before reply logging started, and one company whose replies are handled outside this log. That's why the email rates cover 3 companies, not 4.
- **Scope.** 4 companies selling B2B services and software, mostly into the Netherlands, Belgium and the wider EU.
- **Not a survey.** Nobody was asked to estimate anything.
- **Small n on the client side.** 4 companies is enough to be real and not enough to be universal. Your ICP, offer and list quality will move these numbers more than any subject line will.
- **No client is identifiable.** These are aggregate counts. No company, campaign or individual is named or derivable from them.

**Using these numbers?** Cite them as *Sell Successfully, Cold Outreach Benchmarks 2026*, and link to this page. Happy to answer questions on method.

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## Questions

### What is a realistic cold email reply rate in 2026?

4.2% of the people we cold emailed wrote back: 269 of 6,411, across 3 B2B companies between 10 June 2026 and 6 October 2026. Per delivered email that's 2.07%, about one reply for every 48 emails, and the first email alone got 3.07%. Vendor marketing routinely quotes 3% to 5%, usually from a best-performing campaign and often without saying what it divides by.

### Why is this reply rate lower than the 3% to 5% agencies quote?

Per email it is lower, for three reasons. It counts every delivered email in every sequence, follow-ups included, not a hand-picked winning campaign. Inbox providers have become much stricter since 2024. And it leaves out what flatters a rate: out-of-office replies, bounces and win-back mail to a company's own former users. Per person it is 4.2%, and vendors rarely say which of the two they quote. A rate without a denominator is marketing, not measurement.

### How many LinkedIn connection requests get accepted?

21.1%: 149 of 706 connection requests sent between 7 July 2026 and 15 September 2026, each given at least 35 days to be answered. A cold list accepted 18.6%. People who had engaged with one of my posts first accepted 65.8%, but that group is small (38 people). Invitations nobody answered count as not accepted, which is why this is lower than rates that only divide by the requests that got an answer.

### Is LinkedIn or cold email more efficient?

Once someone accepts, LinkedIn is far stronger: 43.3% of the 263 people who accepted anywhere in the log replied, against 4.2% of the people we cold emailed. But only 21.1% accept, and LinkedIn caps how many invitations you can send, so you cannot send 50,000 of them without losing the account. Email carries the volume. They are complements, not alternatives.

### How big does a list need to be to book one meeting?

On these numbers, plan on about 48 cold emails per reply, and a reply is not a meeting. If 30% of replies are interested and half of those book (my planning assumptions, not measured), ten meetings a month from email alone takes about 3,200 emails a month, spread over several sending domains so none of them burns.

### How was this measured?

Every send, reply, connection, withdrawal and click is logged as an event row at the moment it happens, across every client campaign we run. The volume table is a straight count of those rows across 4 companies. The rates come from two cleaned cuts of the same log, each with its own window: cold email sent 10 June 2026 to 6 October 2026, after reply logging started, without bounces, auto-replies and win-back mail; LinkedIn invitations sent 7 July 2026 to 15 September 2026, each followed to its outcome. No sampling, no modelling, no survey.

## Related

[Method **The method these numbers come from** Read more →](https://sellsuccessfully.io/method/signal-to-reply/) [Blog **Cold email templates that fit these numbers** Read more →](https://sellsuccessfully.io/blog/cold-email-templates-b2b-saas/) [Data **Every public cold email benchmark, compared** Read more →](https://sellsuccessfully.io/cold-outreach-benchmarks/compared/) [Data **European B2B sales statistics** Read more →](https://sellsuccessfully.io/european-b2b-sales-statistics/) [Blog **European B2B SaaS sales benchmarks** Read more →](https://sellsuccessfully.io/blog/european-b2b-saas-sales-benchmarks/) [Free tool **Outbound ROI calculator** Read more →](https://sellsuccessfully.io/tools/outbound-roi-calculator/) [Comparison **AI SDR vs agency vs doing it yourself** Read more →](https://sellsuccessfully.io/ai-sdr-vs-outbound-agency/) [Services **Everything else we do** Read more →](https://sellsuccessfully.io/services/)

## These are our numbers *from running it.*

The benchmarks above come out of the outbound engine we run for clients: lists, sending infrastructure, sequences and reply routing, every week.

[How the engine works](https://sellsuccessfully.io/ai-lead-generation/)
