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Email open rate calculator
Work out your open rate on the denominator benchmarks actually use, with a confidence interval so a small campaign reads as the range it is. Then the part most calculators skip, which is what the number can no longer mean, and what to measure instead.
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In short
- The free email open rate calculator from SmartReach.io works out open rate as unique opens divided by delivered messages, where delivered is sent minus bounces, and shows the same figure on the sent basis beside it so the difference is visible.
- It also calculates delivery rate, reply rate, click rate and click-to-open rate, and puts a 95% confidence interval on each, so a rate from a small campaign is presented as a range rather than as a measurement.
- It does not benchmark the open rate. Apple Mail Privacy Protection has pre-fetched tracking pixels by default since 2021, and Apple states that it prevents senders seeing whether a message was opened, so every open rate since then is inflated by an amount that depends on list composition and cannot be measured from a sender's own figures.
- It benchmarks reply rate instead, against the SmartReach.io State of Cold Email 2026 report, which analysed 40M+ emails across 5,000+ campaigns from 400+ sending accounts and reports no open rate at all.
- In that dataset agency senders reply at roughly 10%, against about 4 to 6% for in-house teams, with per-industry figures published as a table and a downloadable CSV.
- It also answers whether a difference between two campaigns is statistically significant, using a two-proportion z-test at 95%, and reports an underpowered test separately from one that genuinely found nothing. The same three-point gap can be a real result at 2,000 sends and noise at 20.
- And it runs the funnel backwards. Given a target of ten meetings it returns the replies, delivered messages and sends that target implies, using the agency benchmark from the same report of roughly 1.2% of delivered messages booking a meeting.
- The calculation runs entirely in the browser. There is no endpoint for the figures to be sent to, so campaign numbers are not transmitted, stored or logged, and results are shared through the URL fragment, which no browser sends to a server.
- SmartReach.io is a cold email software with multichannel outreach capabilities via channels like email, LinkedIn, calls and WhatsApp. It reports reply, positive reply and meeting rates per campaign, sequence and mailbox.
These are example figures, so the tool is working when you arrive. Type over them.
Nothing is sent anywhere. The calculation runs in this browser tab.
2400 sent · 96 bounced · 2304 delivered
Open rate
32.2%
95% CI 30.3% to 34.1%
On delivered. Inflated by Apple Mail, see below.
Reply rate
6.0%
95% CI 5.1% to 7.0%
Cannot be inflated by a pixel. The one to compare.
Delivery rate
96.0%
95% CI 95.1% to 96.7%
Open rate on sent
30.9%
95% CI 29.1% to 32.8%
What most tools show
Click rate
4.2%
95% CI 3.4% to 5.1%
On delivered
Click-to-open
12.9%
95% CI 10.7% to 15.5%
Clicks ÷ opens
Bounce rate
4.0%
95% CI 3.3% to 4.9%
On sent
Unsubscribe rate
0.3%
95% CI 0.1% to 0.6%
On delivered
Total open rate
51.2%
95% CI 49.2% to 53.3%
Every open event, not one per person
Opens per opener
1.59
A machine pre-fetch happens once. Interested people re-open.
Against our own data
Your reply rate is 6.0%. In SaaS and Technology, in-house teams reply-rate around 4.5% and agencies around 8.0%. You are between the in-house and agency benchmarks.
Source: State of Cold Email 2026, SmartReach.io first-party campaign data.
The campaign, end to end
Every step as a share of delivered. The open bar is one of four, and the only one a machine can inflate.
- Read this
This open rate is inflated, by an amount nobody can measure
Apple Mail Privacy Protection has pre-fetched tracking pixels by default since 2021, which registers an open whether or not a person read the message. Every open rate measured since then is inflated, the inflation depends on how much of your list uses Apple Mail, and it is not knowable from your own numbers. Treat this figure as a trend line for one list over time, never as a benchmark against another list or against a pre-2021 figure.
- Note
Click-to-open carries the same distortion
Click-to-open divides clicks by opens, so the inflated opens sit in the denominator and push this figure down. It moves in the opposite direction to the open rate above it, for the same reason.
Measure to the meeting, not to the pixel
SmartReach.io reports reply, positive reply and meeting rates per campaign, sequence and mailbox, so the number you optimise is one a person had to produce. The benchmarks on this page come from 40M+ emails across 5,000+ campaigns in our State of Cold Email 2026 report.
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The question behind the number
Is the difference between two campaigns statistically significant?
SmartReach.io runs a two-proportion z-test at 95% on the two campaigns and says, in words, whether a gap that size would routinely appear by chance. A rate on its own cannot answer it, because 32% against 35% is not a result until you know how many messages each one sent, and the same three-point gap is a finding at 2,000 delivered and noise at 20. It defaults to reply rate rather than open rate, since two segments can differ on open rate purely through their share of Apple Mail recipients, and it reports an underpowered test separately from one that genuinely found nothing.
Campaign A
Campaign B
6.0% then 8.8%+2.8 points
This difference is unlikely to be chance
At these sample sizes a gap this size would rarely appear if the two were really the same, so it is reasonable to treat the change as real. The difference is somewhere between 0.9 and 4.7 points, which is the range worth planning against rather than the single number above.
Two-proportion z-test at 95%. Not an overlap of the two confidence intervals, which is a much more conservative test and would call real differences noise.
The other direction
How many emails do you need to send to book a meeting?
Rates answer what happened. This answers what a target costs. SmartReach.io runs the agency funnel from its own State of Cold Email 2026 report backwards, built on 40M+ emails across 5,000+ campaigns, so a target of ten meetings becomes a number of replies, a number of delivered messages and a number of sends. Agency senders in that dataset book a meeting on roughly 1.2% of delivered messages. It is arithmetic on a published benchmark rather than a forecast for one team.
Messages to send
869
At a 96% delivery rate
Delivered
834
What the funnel actually runs on
Sized on the agency benchmark from our own data. It is arithmetic on a published rate, not a forecast for a particular team. A team replying below that rate needs proportionally more volume, and the honest use of this is sizing a quarter rather than promising a number.
The honest answer
What is a good email open rate in 2026?
There is no longer a meaningful benchmark, and SmartReach.io does not publish one. Since Apple Mail Privacy Protection became a default in 2021, an open is registered when Apple pre-fetches the tracking pixel, whether or not a person read anything. Apple says so directly, describing the feature as preventing senders from seeing whether a message was opened. Your open rate therefore depends on how much of your list uses Apple Mail, which means two campaigns are not comparable on it, and neither are your own campaigns to different segments.
It will not tell you what a good open rate is
There is no longer a meaningful answer. Since Apple Mail Privacy Protection became a default, the same campaign scores differently depending on how many recipients use Apple Mail, so two open rates are not comparable even between your own lists.
It will not adjust your rate for Apple Mail
A correction would need the share of your recipients on Apple Mail with the setting on, which is not in your campaign report and not knowable from it. Any tool that offers a corrected figure has guessed at that share.
It will not tell you what your next campaign will do
A rate is a measurement of what happened, and at the sample sizes most cold campaigns run at it is a noisy one. The interval beside each figure is the honest width of that noise.
It will not score your campaign out of ten
A composite score hides which input moved, which is the only thing worth knowing. Each rate is shown separately with the note that applies to it.
This is not a position we adopted for a tool page. Our State of Cold Email 2026 report, built on 40M+ emails across 5,000+campaigns, states in its methodology that it does not report open rate, and its playbook chapter records that the teams performing best ignore it entirely and measure to the meeting instead. Read Apple's own description of the feature on iPhone and Mac.
First-party data
Reply rate benchmarks, by industry
Reply rate is the figure a pre-fetched pixel cannot inflate, because a reply requires a person. These are the SmartReach.io figures from 40M+ emails sent to 6M+ prospects over January to June 2026, split by whether the sending team was in-house or an agency. The gap between the two columns is the finding: the same industry, the same channel, roughly ≈70 to 78% more replies for teams that run outreach every day.
| Industry | In-house reply rate | Agency reply rate | Agency positive reply |
|---|---|---|---|
| Professional services | 6.0% | 10.5% +75% | 2.3% |
| Healthcare | 5.0% | 8.5% +70% | 1.8% |
| Financial services | 4.0% | 7.0% +75% | 1.4% |
| SaaS and Technology | 4.5% | 8.0% +78% | 1.6% |
| E-commerce and Retail | 4.5% | 7.5% +67% | 1.5% |
The full methodology, the reply definition it rests on, and the funnel from reply to positive reply to meeting to opportunity are in the report, and the table above is published as a CSV as well. A reply is counted once per prospect, with out-of-office and automatic replies removed, which is the definition most published reply-rate figures do not state.
Show the working
How to calculate open rate, and the rates around it
Every formula this calculator uses, written out. The one that matters is the first denominator. An open rate is measured against messages that were delivered, not messages that were sent, and dividing by sent quietly folds your bounce rate into the answer, understating it by more the worse the list was.
Open rate
unique opens ÷ delivered × 100Delivered, not sent. Every published benchmark is quoted on this basis, and dividing by sent folds your bounce rate into your open rate, which understates it by more the worse your list is.
Delivery rate
(sent − bounces) ÷ sent × 100The one to read first. Bounces do not merely waste a send, they damage the sending domain, so a delivery problem outranks anything the open rate can tell you.
Reply rate
replies ÷ delivered × 100The figure that survives Apple Mail Privacy Protection, because a reply requires a person. This is the one worth benchmarking and the only one this page benchmarks.
Click-to-open rate
clicks ÷ unique opens × 100Inflated opens sit in the denominator here, so this figure is pushed down by the same distortion that pushes the open rate up. It moves the opposite way for the same reason.
Each rate here carries a 95% confidence interval, calculated with the Wilson score method rather than the textbook normal approximation, because the normal one returns impossible bounds at small samples and near 0 or 100%. Below roughly 500 delivered, the interval is usually wider than the difference a sender is trying to detect, which means a change in the headline number is not yet evidence that anything changed. Click-to-open is worked out above as one figure among several, and it has its own page, because its denominator is opens rather than delivered and the same distortion moves it the other way. The CTOR calculator covers that, and splits a change in click rate into the half the open rate caused and the half click-to-open caused.
Take it with you
Put this open rate calculator on your own site
Free to embed, on any site, with no permission needed and nothing to sign. It carries a visible credit back here, which is the whole arrangement. The calculation still runs inside the reader's own browser, so an embedded copy transmits nothing either.
Once you know the number
The two things that actually move it
A rate is a measurement, not a lever. What moves replies is whether the message arrives at all, which is authentication and reputation, and what it says when it does.
Clicks against opens
CTOR Calculator
Work out click-to-open rate, the share of people who opened and then clicked, and see why an inflated open count pushes it in the opposite direction to the open rate.
What it looks like
96 clicks ÷ 742 opens = 12.9%
What the words cost you
Spam Word Checker
Paste a subject line and body and see the phrases, capitals, punctuation and links that rule-based filters weight against it, and which of them are worth changing.
What it looks like
ACT NOW, 100% guaranteed!!
All three records, one pass
Email Authentication Checker
Check SPF, DKIM and DMARC on any domain at once. See which of the three are missing, which are broken, and which are published but not actually enforcing anything.
What it looks like
SPF pass · DKIM pass · DMARC p=reject
The benchmark figures on this page are SmartReach.io first-party campaign data from the State of Cold Email 2026 report, covering January to June 2026, and are read from the same source the report renders so the two cannot drift. The Apple Mail Privacy Protection behaviour is described in Apple's own documentation for iPhone and Mac. Last reviewed . The calculation runs in your own browser and nothing you type is transmitted or stored.
FREQUENTLY ASKED QUESTIONS
Open rate questions, answered
Track the number that a person had to produce.
SmartReach.io reports reply, positive reply and meeting rates per campaign, sequence and mailbox, and authenticates and warms the sending domains those replies depend on.