What Is a Good Engagement Rate on YouTube in 2026?

YouTube engagement rate is one of the most misread numbers in influencer marketing — partly because the platform exposes more signals than any other, and partly because creators and brands often use different formulas. Before you can judge whether a rate is good or bad, you need to agree on how you’re calculating it.

The short version: a good YouTube engagement rate in 2026 sits between 3–5% by views for a healthy mid-to-large channel, rising to 6–10%+ for smaller, tighter communities. But the subscriber tier and niche shape what “good” actually means more than the platform average does.

How to calculate YouTube engagement rate

There are two common formulas, and they give very different results.

By views (most accurate for YouTube):

(Average likes + comments) ÷ average views × 100

By subscribers (used for brand comparisons):

(Average likes + comments) ÷ subscribers × 100

YouTube pushes content heavily through recommendations and search, so a video can rack up far more views than a channel has subscribers. That makes the by-subscribers formula misleading in the same way TikTok’s by-followers formula is misleading — it can swing wildly based on whether a single video went viral. By views is the more honest read of whether content actually lands.

When brands ask for your “engagement rate,” find out which formula they’re using. If they don’t specify, assume by-subscribers — it’s what most tools default to.

YouTube engagement rate benchmarks by subscriber tier (2026)

These ranges use the by-views formula, averaged across a creator’s last 10–15 non-viral videos.

Subscriber tier	Below average	Average (good)	Excellent
Nano (1K–10K)	under 4%	6%–10%	12%+
Micro (10K–100K)	under 2.5%	3%–6%	8%+
Mid (100K–1M)	under 1.5%	2%–4%	6%+
Macro (1M–10M)	under 0.8%	1%–2.5%	4%+
Mega (10M+)	under 0.5%	0.7%–1.5%	2.5%+

The pattern mirrors every other platform: smaller channels engage harder on a percentage basis because the audience is self-selected and tight-knit. A nano creator at 8% is normal; a mega creator at 8% would be exceptional.

Benchmarks shift sharply by niche

YouTube’s niche spread is wider than Instagram or TikTok, so the platform average can actively mislead you. A realistic picture by content type:

• Gaming: 4–7% average, with highly opinionated audiences who comment on everything. Gaming comment sections are dense and specific — a strong quality signal.
• Education and how-to: 5–9%. Viewers who sought out a tutorial are primed to engage; comment sections fill with follow-up questions and “thank you” replies that indicate real value.
• Tech reviews: 4–8%. Strong save-and-share behavior as viewers research purchases.
• Finance and investing: 3–6%. Lower comment volume but high intent — viewers are there for information, not community. High like-to-view ratios are a positive signal here.
• Lifestyle and vlogging: 2–4%. Broad audiences spread thin, but loyal sub-communities punch above average.
• Music: 1–3%. Videos accumulate passive views from playlists and autoplay; low like-and-comment rates are structural, not a sign of a weak channel.

If you’re benchmarking a music channel against an education channel, you’ll reach the wrong conclusion. Compare within niche first, tier second.

Shorts vs. long-form

YouTube Shorts reshaped the equation when they started appearing in main channel analytics. Key differences in 2026:

• Shorts generate more raw engagement per view — roughly 1.4× higher — but Shorts views are often algorithmic and passive, so the engagement rate can read high without reflecting a genuinely invested audience.
• Long-form watch time and completion rate are harder to fake and say more about whether people actually care. A 10-minute video with 65% average completion is a far stronger quality signal than a Short with 6% engagement.
• Treat them separately. Mixing Shorts and long-form into one averaged rate creates a number that represents neither format accurately. When reviewing a channel, pull the two content types apart before drawing conclusions.

What a low rate can signal

A YouTube engagement rate that sits well below the tier benchmark has three plausible explanations:

1. Niche mismatch — the creator’s category naturally runs low (music, ambient channels, replays).
2. Audience slump — content has drifted from what built the subscriber base, losing active viewers over time.
3. Inflated or inactive subscribers — bought subscribers, sub4sub behavior, or a channel that stopped posting for a year and kept growing passively.

The difference between option 2 and 3 shows up in the watch-time and comment trends. A channel with genuine but drifting engagement will still see real-sounding comments and some watch time. A channel with bought or inactive subscribers tends to show a view count that tracks only the platform’s own recommendation traffic, with almost no watch time and comment sections that are thin or generic.

Watch time per view is YouTube’s clearest fake-audience signal. You can’t buy average view duration the way you can buy subscribers. If a creator’s analytics show 800K views but under 60 seconds average watch time on a 12-minute video, the views aren’t real. You can sanity-check the broader picture with our authenticity checker — it surfaces the patterns that paid subscribers can’t hide.

Engagement quality tells a better story than the number

Two channels at 4% can be worth completely different amounts:

• A creator whose 4% is built on specific, thoughtful comments and high save rates has an audience ready to act on a recommendation.
• A creator whose 4% is driven by like-bait prompts (“smash the like button if you agree”) has a conditioned response, not genuine investment.

When reporting your rate to a brand, add context: average watch time, comment volume and quality, click-through rate on end screens if you have it. “3.8% engagement with an average watch time of 68% on 12-minute videos” is a stronger pitch than “3.8% engagement” alone — and it pre-empts the audit by demonstrating the engagement is the real, intent-driven kind.

What to actually do with this

1. Calculate your rate using the last 10–15 non-viral videos, by views.
2. Find your tier in the table, then adjust for niche.
3. If you’re at or above “average (good)” for your tier, that’s your negotiating floor with brands.
4. If you’re below, investigate watch time and comment quality before assuming audience size is the problem. Often the issue is content drift or an old sub spike rather than a permanently broken channel.

In 2026, YouTube’s layered analytics make it possible to diagnose exactly why engagement sits where it does — which means a creator who understands their own numbers has a real advantage in pitching to brands who don’t.