A good cold email open rate sits in the 15 to 25% range on a raw, unwarmed list. That number is close to meaningless on its own, because Apple Mail Privacy Protection inflates opens for a large share of any list. A good cold email reply rate is a steadier yardstick: published reports put the average around 3.43%, with 5 to 10% called good and 10%+ called excellent.
This page gathers the published benchmarks for both metrics, names every source, and explains why reply rate, not open rate, is the number worth tracking. For the setup work that moves either number, our cold email guide for agencies covers the domains, mailboxes and sequence a campaign needs before benchmarks matter at all.
What is a good open rate for cold email?
A good cold email open rate on a raw, unwarmed sending domain is commonly cited at 15 to 25%, with around 30% treated as best-in-class. Amplemarket's 2026 benchmark page states this range directly.
It adds that a deliverability-managed send, meaning warmed domains, mailbox rotation and inbox placement testing, can post open rates far higher. Amplemarket names one of its own customers, Sendoso, at a published 78%+ open rate, but flags that figure as a customer case study, not an industry-wide number.
Gong's analysis of 28 million cold emails, written by Outbound Squad's Jason Bay, found that top-performing reps get 2.1 times the opens of average reps. It also found that buzzwords or numbers in a subject line can cut open rate by up to 17.9%. Gong's own post calls open rate "a controversial metric in cold email right now", since a tracked open can be a spam filter loading the message, not a person reading it.
Both sources agree on one point: the open rate you see depends heavily on domain warm-up and sending setup, not just subject line quality. Two factors drive most of the gap between a weak and a strong open rate:
- Domain warm-up status. A freshly registered domain with no warm-up posts a far lower open rate than the same copy sent from a mailbox with a clean sending history.
- Subject line choices. Gong found buzzwords and numbers in a subject line cut open rate by up to 17.9%.
Why are cold email open rates unreliable?
Cold email open rates are unreliable because Apple Mail Privacy Protection, a feature most Apple Mail users have turned on, downloads the images and tracking pixel in every email in the background. This happens whether or not the recipient ever opens it. That background download registers as an "open" on the sender's side, so a meaningful share of reported opens are not real opens at all.
Apple's own description of the feature states that Protect Mail Activity downloads remote content in the background by default, whether or not the recipient ever engages with the email. It routes that download through two separate relays so no single party can tie the activity back to one person.
Litmus's explainer walks through the mechanics. When a subscriber's Mail app starts, Apple pre-fetches the email's images on a proxy server before the person ever looks at it, which is enough to register as an open with the sending platform.
Mail Privacy Protection is not on by default for every account. Litmus notes the person is asked to choose "Protect Mail Activity" or "Don't protect Mail activity" the first time they open the Apple Mail app. That choice then syncs across every device on that Apple ID.
Enough recipients choose protection that aggregate open rate data across any list now mixes real opens with background downloads, and there is no way to tell the two apart from the sender's side. Two consequences follow for anyone reading an open rate report:
- A rising open rate can mean nothing changed in the campaign. It can simply mean more recipients are on Apple devices with the feature enabled.
- Open rate differences between two subject lines can be noise. If the split between Apple Mail and other clients differs across the two groups, the comparison is not clean.
Treat open rate as a rough signal that mail is reaching inboxes rather than bouncing, not as a measure of genuine interest.
Why we leave opens out of benchmarks: see email open tracking.
What is a good reply rate for cold email?
A good cold email reply rate is commonly cited at 5 to 10%, with 10% or higher called excellent, against a platform-wide average closer to 3 to 3.5%. Instantly's 2026 benchmark report, built from billions of cold email interactions across its platform, states the overall average reply rate is 3.43%, with top-performing users exceeding 10%, 2 to 4 times the average.
Woodpecker's cold email statistics page cites the same 3.43% figure, linking to Instantly's report as its source, so treat the two as one data point, not two independent confirmations. Woodpecker does call 5 to 10% reply rate "good" and 10%+ "excellent", and found advanced personalization lifting reply rate to around 18% versus roughly 9% for unpersonalized sends.
Gong's 28-million-email analysis, working from Outbound Squad's client experience, puts the bar higher for a strong campaign: "10%+ is the gold standard", and found top reps get 4.2 times the replies of average reps. The same report found pitching your product in the email body, rather than naming the prospect's problem, cuts reply rate by as much as 57%. Our guide on how to write a cold email covers the structure that avoids that mistake.
Instantly's report adds a sequencing detail worth planning around: 58% of all replies come from the very first email in a sequence, and the remaining 42% arrive across the follow-ups. A sequence that stops after one email leaves most of the second half of its replies uncollected.
Why does reply rate matter more than open rate in cold email?
Reply rate matters more than open rate because a reply requires a real person to read the email and choose to respond. An open, by contrast, can be registered by a background process that never reaches a human.
Amplemarket's benchmark page makes the same point from a different angle. Reply rate has a floor set by deliverability, since it can only be as high as the share of mail that actually lands in front of a person. Within that floor, it is the most copy- and targeting-sensitive number on the page.
Positive reply rate, meaning replies that are not an out-of-office, a hard no, or an unsubscribe request, is the number that best reflects whether the message landed. None of the sources above publish a single standard definition of "positive reply". Treat any positive reply percentage you see as specific to how that source counted it, and compare it to your own numbers over time rather than to a single external bar.
| Metric | Source | Year | Reported figure |
|---|---|---|---|
| Open rate, raw/unwarmed list | Amplemarket | 2026 | 15 to 25% good, ~30% best-in-class |
| Open rate, deliverability-managed | Amplemarket (Sendoso case study) | 2026 | 78%+ (one customer, not an industry average) |
| Open rate, top reps vs average | Gong / Outbound Squad | 2025 | Top reps get 2.1x the opens |
| Reply rate, platform average | Instantly | 2026 | 3.43% |
| Reply rate, platform average | Woodpecker, citing Instantly | 2026 | 3.43%, the same figure as Instantly, not a separate measurement |
| Reply rate, good / excellent | Woodpecker | 2026 | 5 to 10% good, 10%+ excellent |
| Reply rate, top performers | Instantly | 2026 | 10%+, 2 to 4x the average |
| Reply rate, "gold standard" | Gong / Outbound Squad | 2025 | 10%+ |
| Reply rate with advanced personalization | Woodpecker | 2026 | ~18% vs ~9% baseline |
| Replies from first email vs follow-ups | Instantly | 2026 | 58% first touch, 42% follow-ups |
Every figure above describes someone else's list, copy and niche, not yours. Use the table to spot whether your own numbers are far outside a normal range, not to chase a specific percentage.
How do you calculate your own cold email rates?
Calculate open rate as emails opened divided by emails delivered, times 100, and calculate reply rate as emails replied to divided by emails delivered, times 100. Delivered means the email reached the recipient's server rather than bouncing, so bounced emails are excluded from both calculations. Our cold email deliverability guide covers how bounce and delivery are tracked.
The following example is invented to illustrate the arithmetic, not a measured result from any campaign:
Say a sequence sends 400 emails in a week, 12 bounce, and the sending platform records 76 opens and 14 replies.
- Delivered emails: 400 minus 12 bounces equals 388 delivered.
- Open rate: 76 divided by 388, times 100, equals about 19.6%.
- Reply rate: 14 divided by 388, times 100, equals about 3.6%.
That invented reply rate of 3.6% sits close to the platform averages Instantly and Woodpecker report. The invented open rate sits inside Amplemarket's raw-list range.
Remember that the open rate half of this calculation is diluted by Apple Mail Privacy Protection as explained above, so weight the reply rate side more heavily when judging whether a sequence is working. Positive reply rate uses the same formula with only the replies you count as positive in the numerator. Decide your own definition before you start measuring, so the number stays comparable from one week to the next.
Pipefire does not publish a reply rate or open rate benchmark of its own, because nothing is measured yet. If you want help turning a benchmark into a working setup, our features overview covers how Pipefire finds prospects, writes each sequence and sends it once a sending domain is warmed up.
Cold email benchmarks FAQ
Why did response rate collapse in cold email?
Response rate drops most often from a mix of higher inbox volume, buyers skimming past templated AI-written copy, and poor targeting rather than a single cause. Gong's analysis found that pitching the product instead of naming the prospect's problem alone can cut reply rate by up to 57%, which explains a large share of underperforming campaigns on its own.
Why did open rates drop in cold outreach?
Open rates can drop for two different reasons. One is genuinely weaker deliverability, meaning more mail is landing in spam. The other is a shift in how many recipients use Apple Mail Privacy Protection, which changes the reported number without changing anything about the campaign. Separate the two by checking inbox placement directly rather than reading open rate alone.
How do I fix low open rates in cold email outreach?
Start with deliverability rather than subject lines: confirm SPF, DKIM and DMARC are set up, confirm the sending domain is warmed up, and run an inbox placement test to see where mail actually lands. Our guide on why cold emails go to spam covers the common causes in order.
How do I improve reply rates for cold outreach?
Shorten the email, remove any pitch for your product, and name something specific and true about the prospect's business in the first line. Gong's data found the highest reply rates came from 3 to 4 sentence emails, and that avoiding buzzwords and ROI language in favor of the prospect's own language improved results.
Is a 3% reply rate good for cold email?
A 3% reply rate is close to the published platform average of 3.43%, a figure that comes from Instantly and that Woodpecker cites rather than measuring separately. It is not yet in the 5 to 10% range Woodpecker calls good, so there is room to improve before comparing it to a top-performer benchmark.