Outbound teams ask the same question in three different ways: what is a good open rate, what is a good acceptance rate, and is AI actually lifting replies. The answer lives in three separate datasets, so we published three separate reports. This page is the index: the headline numbers from each report, what each one covers, and where to go for the full data.
Every statistic below comes from one of the three reports, and inside each report every number is attributed to a named study with a link to the original source. Nothing here is blended into unverifiable averages.
The three benchmark reports
Cold Email Statistics 2026
The full cold email report: open, reply, bounce, and conversion benchmarks, plus deliverability thresholds, follow-up data, and send-time numbers. Use it to set targets for every stage of an email sequence, from subject line to booked meeting.
Read the cold email statistics →LinkedIn Outreach Benchmarks 2026
The full LinkedIn report: acceptance rates by industry and seniority, message and InMail reply benchmarks, best send times, follow-up cadence, and weekly limits. Use it to score your LinkedIn campaigns against 33M+ tracked outreach actions.
Read the LinkedIn benchmarks →AI Prospecting Statistics 2026
The full AI prospecting report: adoption rates, performance lift from AI personalization, cost and ROI benchmarks, and market growth data. Use it to judge whether your stack and your reply rates are keeping pace with teams already running AI-led outbound.
Read the AI prospecting statistics →How to use these benchmarks
Start with the channel you already run, and compare your reply rate against the average before changing anything else. If you are below average, the fix is almost always targeting or message quality, not volume. If you are at or above average, the next gain usually comes from adding a second channel or layering AI personalization on top, which is where the 15-25% reply rates live.
| Channel | Average reply rate | Best for |
|---|---|---|
| Cold email | 3.4-5.1% | Volume, follow-ups, scheduling |
| LinkedIn messages | 10.4% | High-value targets, warm-up touches |
| AI signal-personalized outreach | 15-25% | Reply quality, timing on buying signals |
The three reports are designed to be read together. Cold email gives you scale, LinkedIn gives you reply rate per message, and AI personalization multiplies both. The teams at the top of every dataset run all three against the same prospect list.
Benchmark your outbound
Run cold email and LinkedIn from one campaign timeline, and see how your reply rates compare to the benchmarks above.
Try Overloop →Frequently asked questions
What is a good reply rate for cold outreach in 2026?
It depends on the channel. Cold email averages 3.4-5.1% replies, so anything above 5% is good. LinkedIn post-connection messages average 10.4%. AI-personalized outreach that triggers on buying signals reaches 15-25% replies. Score your campaigns against the benchmark for the channel you are using, not a single universal number.
Which outreach channel has the best response rate?
Per message, LinkedIn beats cold email: 10.4% average reply rate versus 3.4-5.1% for cold email. AI-personalized outreach performs best of all at 15-25% replies. Email still wins on volume, because LinkedIn caps weekly activity per account. The strongest results come from running both channels against the same list: multichannel platforms like Overloop put LinkedIn and email on one campaign timeline, so a prospect who ignores one channel gets a second chance on the other.
Where do these numbers come from?
From the three full benchmark reports linked on this page: cold email statistics, LinkedIn outreach benchmarks, and AI prospecting statistics. Together they compile 150+ statistics, and every number is attributed to a named external study or first-party platform data. Each report links every statistic back to where it was originally published, so you can verify any figure at the source.