Email Open Rate Calculator
Open rate, click rate and the click-to-open rate behind them.
Measure social engagement against followers and against reach — the two versions of the metric that tell very different stories — and see how much of it is likes rather than genuine effort.
Benchmarks are context, not targets. Rates and costs quoted on this page come from published industry ranges and vary enormously by sector, audience, platform and season. Attribution also differs between tools, so two reports of the same campaign rarely agree. Use your own trend as the comparison and treat any external benchmark as a rough bearing.
Engagement rate has two common definitions that produce very different numbers for the same post. Measured against followers it is diluted by everyone who never saw the content. Measured against reach it describes the people who actually did. Both are legitimate; quoting one while your audience assumes the other is not.
Whichever definition you use, use it consistently and say which it is. A screenshot of a 7.99% engagement rate next to a competitor's 3.20% may be comparing two entirely different calculations.
Same numerator, two denominators, and one ratio that explains the gap.
| Symbol | Meaning | Unit | Typical range |
|---|---|---|---|
Followers | Total audience size | count | — |
Reach | Unique accounts that saw the post | count | 10 – 60% of followers |
Interactions | Likes, comments, shares and saves | count | — |
ER by followers | Interactions ÷ followers | % | 0.5 – 6 |
ER by reach | Interactions ÷ reach | % | 2 – 15 |
The choice of numerator matters too. Some tools count only likes and comments; others add shares, saves, profile visits and video views. A rate built on the wider definition can be double one built on the narrow definition for the identical post, which is most of why published benchmarks disagree so violently.
Both are defensible, and the one you choose should depend on the question. For judging whether a post was good, engagement by reach is the honest answer: 7.99% of the people who saw it did something. For judging whether an audience is worth its size, engagement by followers is the fairer test, because an account with a large inactive following should not be flattered by a platform showing its posts to only the keenest 40%.
Those same 786 interactions on an account with 6,150 followers would be a 12.78% engagement rate. On an account with 246,000 followers they would be 0.32%. Engagement rate falls almost mechanically as accounts grow, which is why comparing a small account against a large one on this metric produces a conclusion about arithmetic rather than about content.
The same 786 interactions on accounts of different sizes.
| Followers | Engagement rate | Note | Interactions |
|---|---|---|---|
| 6,150 | 12.78% | 786 | |
| 14,760 | 5.33% | 786 | |
| 24,600 | 3.20% | Your account | 786 |
| 73,800 | 1.07% | 786 | |
| 246,000 | 0.32% | 786 |
Nothing about the content changed across those rows. That is the central weakness of follower-based engagement rate, and the reason influencer pricing based on it systematically favours small accounts — sometimes correctly, and sometimes because a small account has a naturally higher floor.
Rough working ranges, for context rather than as targets: follower-based rates above 3% are generally considered strong on most platforms, 1% to 3% is normal, and below 1% suggests either a large inactive audience or content that is not landing. Reach-based rates run considerably higher — 5% to 15% is a common band — and every one of those numbers varies by platform, format and posting frequency.
The signal worth more than either rate is the mix. Here, 22.14% of interactions are comments, shares and saves rather than likes. A like is nearly free; a comment takes thirty seconds; a share puts the poster's own reputation behind the content; a save means someone intends to return to it. An account with a 2% engagement rate that is mostly saves and shares is in a considerably healthier position than one with 4% that is entirely likes.
Five things that move an engagement rate without the content changing.
Posting frequency. Posting more often generally lowers the rate per post while raising total interactions. An account judged on average engagement rate is being penalised for volume, which is why total interactions per week is often the better management metric.
Format. Short video, carousels, single images and text posts have systematically different rates on every platform. Comparing this month against last when the format mix changed is measuring the mix.
Audience purchase. Bought or incentivised followers do not engage, so they lower the follower-based rate permanently while leaving the reach-based rate untouched. A wide gap between the two, with a very low reach rate, is the usual signature.
Algorithmic reach. Platforms adjust how much of an audience sees organic content, and those adjustments have moved reach rates by large factors over the years. A falling follower-based rate across a whole industry is usually the platform rather than the marketers.
Definition drift. Tools change what counts as an interaction. If your rate jumped when you switched analytics providers, the content did not improve.
If you are using the metric to price influencer work, two adjustments make it far more reliable. Ask for reach rather than follower count, because the follower figure is the easiest number on a social account to inflate. And look at the comment content rather than the comment count: an account with a hundred single-word comments and one with twenty substantive ones have identical engagement rates and completely different audiences.
That distinction is invisible in every automated calculation, including this one, which is a fair reminder of the limits of the metric. Engagement rate counts actions; it cannot tell you whether the people taking them are anyone you want as a customer.
Because of all that, the only comparison worth much is your own account against itself, on one definition, over time — and even then, read the interaction mix alongside the rate. For channels where a click rather than a reaction is the goal, the CTR calculator and the email open rate calculator measure the equivalent behaviour more directly.
Add likes, comments, shares and saves, then divide by followers or by reach. Here, 786 interactions is 3.20% of 24,600 followers and 7.99% of 9,840 reached.
Reach to judge whether a post was good; followers to judge whether an audience is worth its size. Both are legitimate — quoting one while your reader assumes the other is not.
They differ by exactly one divided by the reach rate. At 40% reach, the reach-based figure is 2.5 times the follower-based one, every time.
Above 3% on followers is generally strong, 1% to 3% normal, below 1% a warning. Reach-based rates run higher, commonly 5% to 15%. All of it varies by platform and format.
Almost mechanically. The same 786 interactions are 12.78% on 6,150 followers and 0.32% on 246,000. Comparing accounts of different sizes measures arithmetic rather than content.
They should, and they matter more than likes. A like costs a moment; a share puts someone's reputation behind your content and a save means they intend to come back.
Because tools count different things. Some use likes and comments only; others add shares, saves and video views. The wider definition can produce double the rate for an identical post.
Usually yes, per post, while raising total interactions. If you post more, judge yourself on interactions per week rather than average engagement rate.
That the platform is showing your posts to a small share of your followers. Combined with a large gap between the two engagement rates, it often indicates an inactive or purchased audience.
Only cautiously, and only if you know their follower counts and which definition they used. Your own account over time, on one definition, is a far more reliable comparison.
Six tools that pick up where this one leaves off.
Open rate, click rate and the click-to-open rate behind them.
MarketingClicks over impressions, with benchmarks to read it against.
MarketingPrice impressions per thousand and budget a reach campaign.
MarketingConversions over visitors, and the traffic a target needs.
MarketingThree percentage questions in one tool, with the working shown.
MathMean, median, mode and range together, so outliers cannot hide.
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