Instagram engagement rate benchmarks 2026
Every benchmark you will find quotes a different number, and most quote it without saying what it was measured against or how big the accounts were. Here is how to read them, and how to work out the only benchmark that matters for you.
Is my engagement rate any good?
Published Instagram engagement benchmarks disagree wildly because they measure different things. Reach-denominated averages cluster around 0.45 to 0.5 percent; follower-denominated ones range from about 4 to 7 percent for accounts under 10,000 followers down to somewhere between 0.4 and 2.5 percent above 500,000, depending on the source. Neither is wrong, and they are not comparable. A benchmark is only usable if it states its denominator and its account-size band, and the most useful benchmark is your own account's trend over time.
An Instagram engagement rate benchmark is a published average of engagement rates across a sample of accounts, usable only when it states its denominator (reach or followers), its account-size band and whether it is a median or a mean. The published figures run from 0.36% to 10.09% because they differ on all three.
Search for a good Instagram engagement rate and you will be told 0.45%. You will also be told 7%. Both figures are published by credible sources in the same year, about the same platform.
They are not contradicting each other. They are measuring different things, and almost nobody says which.
This page is about the numbers. For the formula, and which denominator to use for which question, see Instagram engagement rate: the three formulas.
The two axes that decide the answer
What it was divided by. Interactions over reach asks whether the people who saw the post responded. Interactions over followers asks how the post did against the size of the audience on paper. On any account of scale these produce very different numbers, because most followers never see any given post.
How big the account was. Engagement rate falls as accounts grow. This is not a quality effect, it is arithmetic: platforms show each post to a shrinking share of a growing following, so a follower-denominated rate divides by an increasingly hypothetical audience.
Any benchmark that omits either is unusable, and most omit both.
What the published figures actually say
Reach-denominated averages cluster around 0.45% to 0.5% (Upgrow).
Follower-denominated figures, by account size, as two 2026 sources publish them. Each column keeps its source’s own bands, which do not line up:
| Followers | Virallized, median | CreatorFlow, average |
|---|---|---|
| Under 1,000 | Not stated | Not stated |
| 1,000 to 10,000 | 7% (its band is under 10,000) | 4% to 6% |
| 10,000 to 50,000 | Around 3.5% | 2% to 5% (its band is 10,000 to 100,000) |
| 50,000 to 500,000 | 1.6% | 1.5% to 3% (its band is 100,000 to 500,000) |
| Over 500,000 | 0.4% to 0.9% | 1% to 2.5% up to 1 million, 0.5% to 2% beyond |
Published figures as of September 2026. Virallized calls its figures medians from published benchmarks; CreatorFlow attributes its averages to Social Insider, Popular Pays and Buffer, February 2026. Neither states a sample size.
Two things to hold about that table. It is follower-denominated, so it is not comparable with the 0.45% figure above. And the sources disagree with each other, by more than a factor of two above 500,000, because each measured a different sample of accounts.
The table blends two vendor samples whose size and collection method this page cannot inspect. Treat it as a range to sanity-check against, never as a target.
The vendors’ own figures, side by side
The four largest scheduling and analytics vendors each publish an Instagram engagement benchmark. Read on 21 September 2026, none of them prints the denominator beside the figure, and each prints two or more different figures on its own domain.
| Vendor | Figure | What it is | Denominator | Sample | Date on the page |
|---|---|---|---|---|---|
| Buffer, article | 4.3% | Median, all accounts | Not stated | 27 million posts, 273,000 accounts | 2 September 2025 |
| Buffer, benchmarks page | 3.9% | Median, all accounts | Not stated | 27 million posts, 273,000 accounts in the body; 30 million posts, 250,000 accounts in the same page’s FAQ | 13 September 2026 |
| Later, article | 2.88% | Average, feed posts, by follower count | Not stated; the article lists four possible formulas | 44 million feed posts, no date range | 25 June 2026 |
| Later, calculator | 10.09% | Average, feed posts, “a 2024 study by Later” | Not stated | Not stated for this figure | Not shown |
| Later, calculator | 6.21% | Average, Reels, the same 2024 study | Not stated | Not stated | Not shown |
| Hootsuite, metrics guide | 1% to 3% | “Typical” average | Not stated | Not stated | 21 May 2026 |
| Hootsuite, calculator | 0.46% to 0.76% | Range for Business accounts, by post type and size | Not stated | Not stated | Not shown |
| Hootsuite, average-rate article | 3.5% | “Highest across all industries”, Instagram | Not stated | Not stated | Not shown |
| Metricool, engagement article | 3.54% | Average, all accounts, 2026 study | Not stated for this figure; see the note below | 24,364,803 posts, more than 375,000 accounts | 2 July 2026 |
| Metricool, statistics page | 3.79% | Average, all accounts, 2025, the prior year of the same study | Not stated for this figure; see the note below | Same study | 18 June 2026 |
| Sprout Social, citing RivalIQ | 0.36% | Median | Not stated | Not stated | 8 April 2026 |
| Sprout Social, citing Statista | 1.59% | Average | Not stated | Not stated | 8 April 2026 |
| Buffer, glossary, citing Socialinsider | 0.70% | Average, 2024 benchmarks report | Impressions | Not stated | Not shown |
Published figures as of September 2026, read on the vendors’ pages on 21 September. Where a cell says “not stated”, the page gives no denominator or sample for that figure; a formula printed elsewhere on the same site is not the same thing as a denominator printed beside the number.
One row needs a footnote. Metricool prints the classic formula, likes, comments and saves over reach, times 100, and then says of its own figures: “At Metricool, we take a different approach by multiplying by 1,000 instead of 100.” A rate per thousand and a rate per hundred are not comparable, and a 3.54% that came from the per-thousand path is not the 3.54% the classic formula would give.
The spread across this table is not evidence that any vendor is wrong. It is evidence that “engagement rate” without a denominator and a sample is not one measure.
Why a percentage point of “improvement” often is not one
Because the denominator moves.
Gain 20,000 followers who never engage and your follower-denominated rate falls, even if every real reader still behaves exactly as before. Nothing about your content got worse. The number went down because you divided by a bigger hypothetical.
The reverse is also true, which is why buying followers reliably hurts the metric people buy them to improve.
Reach-denominated rate does not have this problem. It only counts people who actually saw the post, so it moves when performance moves.
The benchmark that is actually worth having
Your own account, over time, on a fixed denominator.
An external benchmark tells you how you compare to a sample of accounts you know nothing about, measured in a way you cannot inspect. Your own trend tells you whether what you did last month worked. The second is the one that changes decisions.
Practical version:
- Pick one denominator and never change it. Reach if you have it, followers if you are comparing against accounts you do not control.
- Use the median, not the mean. One viral post drags an average for months and hides the trend underneath it.
- Compare like formats. Reels, carousels and single images do not behave the same, so a shift in format mix will look like a shift in performance.
- Judge across quarters. Reach varies with seasonality and algorithm changes enough that a single bad month means very little.
When an external benchmark is the right tool
Comparing against competitors, where you cannot see reach and never will. In that case follower-denominated rate is the only number available on both sides, so it is the correct choice - as long as the accounts are in the same size band and you say what you did.
That constraint is real: reach and saves only exist for accounts you manage, so any tool showing you a competitor’s reach-based rate is estimating it.
Three questions to ask of any benchmark
- Divided by what? If it does not say, it cannot be compared with anything.
- What size accounts? A number without a band is a number without meaning.
- Median or mean? Averages in this data are dominated by outliers.
Northfact reports engagement rate against reach and against followers as separate figures, labelled, and never places them in the same column. Free during beta.
Also asked
What is a good Instagram engagement rate in 2026?
It depends on the denominator and the account size. Reach-denominated averages cluster around 0.45% to 0.5%. Follower-denominated figures run from about 4% to 7% under 10,000 followers down to about 0.4% to 2.5% above 500,000, and the two sources on this page disagree by more than a factor of two there. A benchmark without both is unusable.
Why does my engagement rate drop as I gain followers?
Because the denominator grew. Platforms show each post to a shrinking share of a growing following, so a follower-denominated rate divides by an increasingly hypothetical audience. Gain 20,000 followers who never engage and the rate falls even if every real reader behaves as before. A reach-denominated rate does not have this problem.
Which published Instagram engagement benchmark should I use?
None of them alone. The vendor table ranges from 0.36% (Sprout Social, citing RivalIQ) to 10.09% (Later's calculator), and no large vendor states its denominator beside the figure. The spread is not evidence any vendor is wrong; it is evidence that engagement rate without a stated denominator and sample is not one measure. Use your own account's trend instead.