Engagement rate has compressed across the board in 2026 — the median 10k–50k creator now sits at 1.8% on Reels and 0.6% on static feed. Tables below; everything is calculated against reach, not impressions, because that’s what brands actually compare against in 2026 deal sheets.
Most engagement-rate articles still cite numbers from 2022. The whole curve has shifted in 2026 because the algorithm now serves a much larger share of content to non-followers (the Reels expansion), which inflates reach and depresses ER even when raw engagement is identical.
Here are the up-to-date numbers our research team publishes internally, plus the formulas we use, so you can score yourself against the right baseline.
The formula brands actually use in 2026
ER = (likes + comments + saves + sends) / reach × 100 • saves and sends were added to the standard in 2024 • brands have largely standardised on reach, not impressions • Reels and static feed should be calculated separately
The follower-based formula (engagement ÷ follower count) is now considered legacy. It systematically underrates large creators and overrates dormant accounts; almost no brand deal sheet uses it as the primary number.
Benchmarks by tier
| Tier | Followers | Reels ER | Static feed ER |
|---|---|---|---|
| Nano | 1k – 10k | 3.4% | 1.2% |
| Micro | 10k – 50k | 1.8% | 0.6% |
| Mid-tier | 50k – 250k | 1.1% | 0.4% |
| Macro | 250k – 1M | 0.7% | 0.3% |
| Mega | 1M+ | 0.4% | 0.2% |
Reels ER consistently runs ~3× static feed ER because of how much more non-follower reach Reels picks up. If you’re comparing yourself against a single ER number you found online, check what content type it was measured on.
Why content mix matters
A creator who posts 80% Reels and 20% static feed has a blended ER that’s closer to the Reels number; a creator who does the opposite has a blended number closer to the static number. When a brand sends you a “must hit 2% ER” target, ask which one.
How to calculate yours, manually
For a single post:
- Open the post’s insights.
- Note
likes + comments + saves + sends(sum them). - Note
reach. - Divide and multiply by 100.
For an account-level number, do the above for your last 12 posts and take the median (not the mean — outliers like a viral Reel will distort the mean badly).
What auto-likes do to your ER
Auto-likes raise the numerator (likes count toward engagement) but they also raise the denominator (better ranker confidence → more reach → higher denominator). The net effect on ER is small — usually +0.1 to +0.4 percentage points on Reels, and roughly neutral on static feed.
A worked case
Let’s say you’re a 24k-follower beauty creator. Your typical Reel gets ~9k reach, ~140 likes, ~12 comments, ~30 saves, 6 sends. Engagement = 188. ER = 188 / 9000 × 100 = 2.09%.
That’s above the micro Reels median of 1.8% — you’re in the healthy band. If you start a likes plan with min 80 / max 150 per post, the new numbers might be: ~11.5k reach (the +27% median lift), ~270 likes (140 organic + ~130 paid), engagement = 318, ER = 318 / 11500 × 100 = 2.76%.
Reach went up by 28%, ER went up by 0.67 percentage points, and you spent under $5 on likes for the post. Whether that arithmetic is good depends on what you’re selling, but the pieces are visible.
Three benchmark myths
“3% is the magic ER number.”
That number was true for static feed micro creators in 2018. Today 3% is excellent for Reels at any tier above nano, and unrealistic for static feed above 25k followers.
“ER ÷ followers is what brands use.”
Some brand sheets still ask for it as a secondary number, but the primary metric on most 2026 deal sheets is reach-based ER calculated separately by content type.
“Falling ER means you’re shadowbanned.”
Almost never. Falling ER usually means your reach is going up faster than your raw engagement (a sign you’re reaching new non-follower audiences who don’t yet love you). That’s growth, not punishment.
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