Cold Email Conversion Rate Benchmarks for B2B [2026 Data]

Cold Email Conversion Rate at Each Stage

The unit here is the contact: one person who got a first cold email from one of 20 campaigns on our platform between March 6 and August 31, 2026. Each contact received 1.86 emails on average, follow-ups included, and we looked at what came back up to October 6.

Source: Sales.co, October 2026.

Seven in ten replies were not written by anyone. They were auto-responders, out-of-office notices, bounce messages and spam-filter notices. Of the 2,818 people who did write back, about a third were positive: they showed interest, asked a question, asked us to come back later or pointed us to a colleague.

Per email sent the rates are lower, because most contacts get more than one email. 2,818 personal replies on 627,085 emails is 0.45%, and 971 positive replies is 0.15%, or one positive reply per 646 emails. Our response rates report breaks replies down by type over a longer window, October 2025 to August 2026, and counts every reply message, so its figures differ from the ones here.

From Reply to Booked Meeting

For the meeting stage we can only use our own campaign. Our clients' calls land in their calendars, and we see the booking for too few of them to publish a number. Sales.co sells its own service by cold email too, and every intro call is booked through one scheduling page, so for that campaign we can follow a contact from the first email to the booking.

Source: Sales.co, October 2026.

We count one meeting per company, and we count it when somebody at that company had received a first email from us before the booking was made. The booking form asks how the person heard about us. 98 of the 143 named cold email, 17 named a cold call (Sales.co also makes cold calls), 9 named LinkedIn, 10 named something else and 9 gave no answer. The stricter figure in the last row counts only the 98.

We expected almost every booking to come from someone who had replied to an email. 98 of the 143 did. Another 42 (29%) came from companies whose contact never answered the email and booked anyway. Asked how they heard about us, 22 of those 42 named cold email and 12 named a cold call. The remaining 3 had only sent an automated reply. Had we counted repliers only, we would have missed 45 of the 143 meetings.

Put the other way round, 8.4% of the people who replied in person went on to book a call (98 of 1,169).

Bookings were slower than we assumed. The median was 9 days after the first email. 66 bookings (46%) came within 7 days and 94 (66%) within 30 days, which leaves 49 (34%) that arrived more than a month after the first email. The contacts we emailed in August had 36 to 66 days to book when we pulled the data, so the meeting count for that month will still go up a little.

7 of the 143 companies that booked a call were paying customers by October 6. That is 4.9% of booked calls, or one customer per 17,788 contacts emailed. With only 7 customers the 95% interval is wide, roughly 2% to 10% of booked calls, and the figure is a floor: the companies that booked in August and September have had only a few weeks to decide.

The Range Across Campaigns

The pooled figures hide large differences between campaigns. Fifteen of the 20 campaigns reached 5,000 contacts or more, and this is how they spread.

Source: Sales.co, October 2026.

The median campaign got a positive reply from 0.11% of contacts. The pooled figure of 0.29% is more than twice that, because four campaigns sit above 0.5% and pull the average up. If you compare your own campaign with a published average, the median is the fairer yardstick. The share of personal replies that were positive ran from 4% to 63% by campaign, with a median of 23%.

Conversion Rate by Company Size

Smaller companies reply more, and the gap is wider for positive replies than for replies in general.

Source: Sales.co, October 2026.

A contact at a company with 1 to 10 employees was about seven times as likely to reply positively as one at a company with 1,001 to 5,000. The two largest bands are thin: together they hold 9,608 contacts and 9 positive replies, so read that row as a rough level only. Belkins reports the same direction in its 2025 data, per email sent: 0.72% for companies with up to 10 employees, 0.49% for 11 to 50 and 0.22% for 10,000 and more (Belkins, 2026).

Conversion Rate by Seniority

Source: Sales.co, October 2026.

C-level contacts replied most often and most positively. VPs and managers were the weakest groups, at about half the C-level rate. Belkins saw the same order: 0.57% for founders and owners, 0.42% for C-level and 0.32% for VPs (Belkins, 2026). We have not separated seniority from company size, so this table and the size table may partly measure the same thing.

Published Cold Email Benchmarks Compared

Instantly, Saleshandy and Belkins each published cold email figures from their own sending data in 2026. Their reply rates differ by a factor of eight.

Sources are listed at the end of the page. Sales.co row: Sales.co, October 2026.

Most of the gap comes from the definition. Instantly and Saleshandy divide every reply by emails sent or delivered, auto-responders included. Belkins removes auto-replies and bounces first. When we count our own data the Belkins way we get 0.45%, the same figure they report. Counted the Instantly way, with every reply included, our rate is 1.53% of emails sent. We did not expect two independent datasets to agree to two decimals, and some of that is luck, but it does suggest that a personal reply rate near half a percent of emails sent is a normal result for B2B cold email in 2025 and 2026.

The meeting figures are further apart. Saleshandy gives 2 to 3 meetings per 100 emails, and says this is for top-performing campaigns; we found no average in its report. Belkins says its 7.5 million emails produced over 1,200 appointments, which is about 1.6 per 10,000 emails. Our own campaign produced 6.1 bookings per 10,000 emails, or 4.2 if only the bookers who named cold email are counted. The offers differ, and so does what each firm calls a meeting, so we would not rank the three. For an average campaign, the Belkins figure and ours both point to a handful of meetings per 10,000 emails.

How Many Emails One Meeting Takes

The Bridge Group's 2025 survey of 351 B2B companies puts the median SDR quota at 10 held meetings a month (The Bridge Group, 2025). At our own rate of one booked call per 1,650 emails, 10 bookings take about 16,500 emails, sent to roughly 8,700 new contacts. At the Belkins rate the same 10 would take about 63,000 emails. We do not measure how many booked calls are held, so the number needed for 10 held meetings is somewhat higher.

The same arithmetic per 10,000 new contacts, using our own campaign: 263 replies of any kind, 94 written by a person, 24 positive, and 11 to 12 booked calls.

Frequently Asked Questions

What is a good cold email conversion rate?

In the 20 B2B campaigns we ran between March and August 2026, 0.84% of contacts replied in person and 0.29% replied positively. The top quarter of campaigns got a personal reply from 0.94% of contacts or more and a positive reply from 0.51% or more.

How many cold emails does it take to book a meeting?

In Sales.co's own campaign, 143 companies booked a call out of 124,513 contacts who received 235,941 emails. That is one booked call per 871 contacts, or per 1,650 emails sent.

What percentage of cold email replies are positive?

34.5% of the replies written by a person were positive across 20 campaigns (971 of 2,818). The median campaign was lower, at 23%, and single campaigns ranged from 4% to 63%.

How long does it take from the first cold email to a booked meeting?

The median was 9 days in our own campaign. 46% of the 143 bookings came within 7 days of the first email, 66% within 30 days, and 34% later than that.

Why do published cold email reply rates differ so much?

They count different replies. Instantly (3.43%) and Saleshandy (3.7%) count every reply, including auto-responders. Belkins (0.45%) removes auto-replies and bounces. Counted the Belkins way, our own figure is also 0.45% of emails sent.

Methodology

The data comes from the Sales.co sending platform. A contact is one email address in one campaign, counted once, by the first email it received between March 6 and August 31, 2026. Replies and bookings were counted through October 6, 2026, so every contact had at least 36 days to respond. The 20 campaigns are B2B senders, our own included.

Each contact is classed by the label of its latest reply. Automated replies are auto-responders, out-of-office notices, error and bounce notifications, spam-filter messages, empty messages and automated referrals. A positive reply shows interest, asks a question, asks to be contacted later or refers us to someone else. Because the label is taken from the latest reply, a contact who first showed interest and later declined counts as a personal reply but not as a positive one.

Meetings are intro calls booked on Sales.co's scheduling page, with cancelled bookings removed and one meeting counted per company. A meeting is credited to the campaign when a contact at the company received a first email before the booking. That shows the email came first; it does not prove the email caused the booking, which is why the table also gives the count of bookers who named cold email themselves. With 143 bookings, the 95% interval on the booking rate is roughly 0.10% to 0.13% of contacts. A paying customer is a company that booked a call and has since been charged for the service; all 7 of them booked a call first.

The campaign quartiles use the 15 campaigns with at least 5,000 contacts in the window. The five smaller ones are in the pooled totals only. The tables are available as a CSV file.

Sources

1. Instantly, “Cold Email Benchmark Report 2026”, 2026.
2. Saleshandy, “I Analyzed 53 Million Cold Emails. Here Are 13 Statistics That Matter in 2026”, June 2026, updated August 2026.
3. Belkins, “What are B2B Cold Email Response Rates? (2026 Study)”, updated June 2026.
4. The Bridge Group, “SDR Models, Motions & Metrics: 2025 Research Report”, February 2025.

To cite this page: Sales.co, “Cold Email Conversion Rate Benchmarks”, October 2026, https://sales.co/research/cold-email-conversion-rate-benchmarks