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What is a Good Engagement Rate on YouTube (Long-form & Shorts)

What is a Good Engagement Rate on YouTube (Long-form & Shorts)

What is a good engagement rate on YouTube? A good rate is 6-9% for channels under 10,000 subscribers, 5-7% at 10,000-200,000, 3.5-5% at 200,000-1 million, 3-4% at 1-5 million, and 2-3% above 5 million. These are Sponsorship.so's July 2026 view-based benchmark bands for both long-form videos and Shorts. Compare the two formats separately.

Those ranges are a screening rubric, not an official YouTube average. A rate only becomes useful when you know the formula, video format, channel size, and sample window behind it. Our YouTube engagement rate calculator keeps those choices consistent so a creator, brand, or talent manager can compare channels without changing the definition halfway through.

YouTube engagement rate benchmarks by channel size

Use the table below for a first-pass reading of a channel's recent engagement. The formula is (likes + comments) / views x 100. A result in the Good band clears our screening threshold; Excellent means the rate reaches the top band for that subscriber tier.

Subscribers

Bad

Average

Good

Excellent

Under 10K

Below 4%

4-6%

6-9%

9%+

10K-200K

Below 3%

3-5%

5-7%

7%+

200K-1M

Below 2%

2-3.5%

3.5-5%

5%+

1M-5M

Below 1.5%

1.5-3%

3-4%

4%+

5M+

Below 1%

1-2%

2-3%

3%+

The same percentage should not receive the same verdict at every channel size. Under this rubric, 4% is Average below 200,000 subscribers, Good at 200,000-1 million, and Excellent above 1 million. The point is not to reward size. It is to stop one universal cutoff from distorting the comparison.

There is no single average engagement rate on YouTube that applies to every niche. A gaming channel, software educator, music channel, and general entertainment creator attract different viewing behavior. Use subscriber count for the first comparison point, then compare YouTube channels with a similar target audience, type of content, and publishing cadence. Treat the niche average as context, not a pass/fail line.

The table is the start of a review, not a creator score. Before signing a sponsorship, also check audience fit, recent view consistency, previous sponsors, comment quality, and brand-safety risk. The influencer vetting checklist covers that wider review.

How do you calculate engagement rate on YouTube?

For public channel analysis, calculate the engagement rate by adding likes and comments across a consistent batch of YouTube videos, dividing by the batch's total views, and multiplying by 100.

YouTube engagement rate = (total likes + total comments) / total views x 100

Suppose five recent long-form videos have 100,000 combined views, 4,800 likes, and 400 comments. Their engagement rate is:

(4,800 + 400) / 100,000 x 100 = 5.2%

For a channel with 120,000 subscribers, 5.2% falls in our Good band. That does not prove the audience watched the sponsor segment or bought anything. It says that 5.2 interactions were recorded for every 100 public views in this sample.

Should engagement rate use views or subscribers?

Use views when comparing video performance. A subscriber may not see a particular upload, while a non-subscriber can discover it through search, recommendations, or the Shorts feed. Dividing by views connects the interactions to the people who had the chance to interact with that video.

A subscriber-based rate answers a different question: how much visible activity did the channel generate relative to its accumulated subscriber base? That can help with audience activation, but it should not be mixed with a view-based percentage. Label the denominator whenever you share a rate.

Should shares count as engagement?

Channel owners can include shares when working inside YouTube Analytics. YouTube lists likes, comments, and shares as separate engagement metrics in its Analytics API documentation. A share-inclusive formula is reasonable for your own channel:

Owner engagement rate = (likes + comments + shares) / views x 100

Public channel comparisons need a narrower formula. YouTube's public video resource exposes view, like, and comment counts, but not share count, in the YouTube Data API. Sponsorship.so therefore uses likes plus comments so the same public inputs are available for every channel. Do not compare a share-inclusive owner rate with a public rate and call the difference performance.

Do not average the percentages from each video

Calculate one rate from the batch totals. In plain terms, divide the total number of engagements by the total number of views. A simple average of per-video percentages gives a low-view outlier the same weight as a video watched by nearly the entire audience.

Consider two videos:

  • Video A: 100 engagements from 1,000 views = 10%
  • Video B: 1,980 engagements from 99,000 views = 2%

The simple average is 6%, but only 1% of the sample's views came from the 10% video. The correct view-weighted batch rate is:

(100 + 1,980) / (1,000 + 99,000) x 100 = 2.08%

That 3.92-point gap can change a creator from Excellent to Average. It is a math error, not a subtle interpretation. The Sponsorship.so method sums interactions and views across the batch before calculating the percentage.

Should long-form videos and YouTube Shorts use the same benchmark?

Long-form YouTube videos and Shorts compared using engagement, retention, watch-time, and conversion metrics.

The tool applies the same subscriber-tier bands to long-form videos and Shorts, but it never blends the formats into one result. This gives you a consistent interaction standard while preserving two separate samples.

Keeping the samples separate matters because the view denominator is not equivalent across formats. Since March 31, 2025, YouTube's public Shorts viewCount counts each start or replay without a minimum watch-time requirement, according to the YouTube Data API documentation. A Shorts rate can therefore move because the denominator changed, even if viewer behavior did not.

Format

Use engagement rate to assess

Pair it with

Long-form

Visible likes and comments per public view

Average view duration, average percentage viewed, retention around the sponsor segment, clicks, and conversions

Shorts

Visible likes and comments per public start or replay

Stayed to watch, engaged views, average percentage viewed, subscribers gained, clicks, and conversions

YouTube defines engaged views for Shorts as the times viewers stayed past the initial seconds, and stayed to watch as the percentage that did so. Its content-performance documentation also calculates Shorts' average view duration and average percentage viewed from engaged views and watch time. These metrics tell you whether people stayed. Likes and comments tell you whether they made a visible interaction. You need both.

One channel, two defensible readings

Imagine a 75,000-subscriber channel with these recent batches:

  • Long-form: 100,000 views and 5,200 likes plus comments = 5.2%, which is Good.
  • Shorts: 250,000 views and 7,500 likes plus comments = 3%, which is Average.

A blended result would be 3.63%. It would hide the strong long-form response and make the channel look uniformly average. For a brand buying a long-form integration, the long-form sample is the relevant one. For Shorts sponsorships, use the Shorts sample and ask for stayed-to-watch and average percentage viewed from YouTube Studio.

How many videos should you use?

Use 10-20 recent public videos per format when the channel has enough uploads. Exclude live streams, private videos, and any format you are not evaluating. Do not pick only the creator's best-performing uploads.

Sponsorship.so reads up to 20 recent long-form videos and up to 20 recent Shorts. It calculates the rate from the newest half of each batch, then compares that result with the previous half. A channel with 20 long-form uploads is therefore evaluated on the newest 10 and trended against the preceding 10. This keeps an old viral hit from controlling a current sponsorship decision.

Three videos can produce a directional snapshot, but one outlier can still dominate it. If the creator posts infrequently, expand the date range and report the window. “5.4% across 10 long-form uploads from January to June” is useful. “5.4% engagement” is missing the evidence needed to judge it.

Are there tools or calculators to check YouTube engagement rates?

Yes. A channel owner can analyze engagement in YouTube Analytics, where private metrics include shares, audience demographics, retention, and returning viewers. Brands and agencies usually need a public-data calculator because they cannot access a creator's private dashboard.

This free tool, the Sponsorship.so YouTube engagement rate calculator, separates long-form videos from YouTube Shorts, calculates a view-weighted rate from recent public videos, applies the subscriber benchmarks above, and shows whether the rate is rising or falling. Enter a channel URL or handle to find the engagement rate without copying the number of likes, comments, and views into a spreadsheet.

Whatever tool you use, check the engagement formula before comparing results. Some calculators divide by follower count, some include shares, and some average the percentages of individual videos. Those methods answer different questions and can produce different scores for the same content creator.

Why is YouTube engagement rate important for creators and businesses?

For a creator, engagement rate shows how often viewers make a visible response after watching. It can reveal consistent engagement even when the number of views changes, help compare content strategies, and show which topics prompt viewers to like or respond to comments. A high engagement rate indicates active response, but it does not prove strong retention, channel growth, or revenue.

For a business, engagement is an early screening metric for influencer marketing. It helps compare YouTube influencers before the brand asks for private analytics or negotiates a campaign. For creators and brands, the practical value is the same: identify unusual performance, then investigate why it happened. A high rate with the wrong target audience is still a poor sponsorship fit.

How should brands read a creator's engagement rate?

Use five checks before treating a percentage as evidence:

  1. Confirm the formula. Check whether the rate includes likes, comments, shares, views, or subscribers.
  2. Match the format. Compare long-form with long-form and Shorts with Shorts.
  3. Match the tier and niche. Start with the subscriber band, then compare similar creators serving a similar audience.
  4. Inspect consistency. Look at the batch median, the trend, and the spread between videos. One giveaway or controversial upload can inflate the rate.
  5. Connect it to the campaign goal. For awareness, add reach and watch time. For consideration, inspect retention and useful comments. For sales, use trackable links, codes, sign-ups, and revenue.

This is where engagement rate becomes a useful filter instead of a vanity number. You can use Sponsorship.so's YouTube influencer search tool to find candidates, screen their recent interaction, then use the YouTube sponsorship calculator to estimate a deal range. Keep engagement, price, and brand fit as separate decisions.

For campaign reporting, engagement is only one KPI. The influencer marketing KPI guide shows how to connect reach, response, traffic, conversions, and cost without pretending one metric explains the full campaign.

What factors influence engagement rates on YouTube?

Rates move when the audience, format, distribution, or sample changes. The most important factors are:

  • Channel size and audience composition. Follower count (subscriber count on YouTube) alone does not determine quality, but a broader audience may produce less engagement per view than a focused niche audience. Compare creators at a similar subscriber tier.
  • Format and video length. Long-form videos, YouTube Shorts, and livestreams create different viewing habits. Shorts can record higher engagement rates while still delivering less attention per start.
  • Topic and intent. Tutorials, debates, reviews, entertainment, and music invite different types of response. A useful question often earns more comments than a passive listening video.
  • Title, thumbnail, and distribution. A strong thumbnail, recommendation spike, or YouTube SEO win can bring the video to a wider audience. That can increase total reach while lowering the percentage that interacts.
  • Calls to action and community habits. YouTube creators who ask a specific question and respond to comments give viewers a reason to join the discussion. Asking every viewer to “like and subscribe” is less informative than prompting a relevant answer.
  • Sample timing. New uploads, older videos, giveaways, controversial topics, and viral outliers can distort overall engagement. Use a consistent recent window and compare its growth rate with the previous period.

Do not import a TikTok, Instagram Reel, or other social media platform benchmark into YouTube. Each platform counts views and interactions differently. Even within YouTube, long-form videos and Shorts should remain separate.

How can you improve engagement rate on YouTube?

Start by diagnosing the weak part of the response instead of asking for more likes.

  • Low long-form retention: tighten the opening, remove slow setup, and check the retention curve before changing the call to action.
  • Low comments but solid watch time: ask one specific question that a viewer can answer from experience. Generic “thoughts?” prompts produce generic replies.
  • High Shorts starts but low stayed-to-watch: make the first frame and first sentence complete the same promise. A curiosity gap does not help if the opening feels unrelated.
  • One viral outlier: repeat the topic or format before treating the result as a channel baseline.
  • Good engagement but weak sponsorship results: check audience-product fit, sponsor placement, offer, landing page, and attribution. More interaction may not fix a poor commercial match.

YouTube says its recommendation system considers how people watch alongside feedback such as likes, shares, comments, “not interested” actions, and survey responses. That is another reason not to optimize one visible rate in isolation. The platform is evaluating viewer satisfaction, not a single score.

How many views do you need to make money on YouTube?

There is no fixed number of views that earns a specific amount. For monetized channels, use the RPM shown in YouTube Analytics. YouTube defines RPM as the creator's revenue after its revenue share per 1,000 views; for Shorts, it uses 1,000 engaged views. The estimate is:

Views needed = target YouTube revenue / RPM x 1,000

To estimate $2,000 at a $5 RPM, the arithmetic is $2,000 / $5 x 1,000 = 400,000 views. At a $2 RPM it is 1 million views; at a $10 RPM it is 200,000. These are examples, not promised RPM figures. Sponsorship revenue is separate: YouTube notes that RPM does not include most brand deals and sponsorships.

Engagement rate does not convert directly into earnings. It can help a creator demonstrate audience response, but revenue also depends on monetized views, viewer location, ad demand, format, memberships, Premium revenue, and sponsorship terms.

YouTube engagement FAQ

Is 5% engagement good on YouTube?

It can be. Under Sponsorship.so's view-based rubric, 5% is Average below 10,000 subscribers, Good at 10,000-200,000, and Excellent above 200,000. Check whether the rate came from long-form videos or Shorts before comparing it.

Is a 20% rate good on YouTube?

Yes, but verify the sample. A 20% view-based rate is above our Excellent threshold for every channel size. It can also come from a new upload with few views, a giveaway, a controversial topic, or one small outlier. Recalculate it across a recent batch before using it in a sponsorship decision.

Do YouTube Shorts have a higher engagement rate than long-form videos?

They can, but the public view denominator changed in March 2025: every Shorts start or replay now counts without a minimum watch time. Do not assume a higher likes-and-comments rate means deeper attention. Compare formats separately and pair Shorts engagement with stayed to watch, engaged views, and average percentage viewed.

Should I divide YouTube engagement by views or subscribers?

Divide by views when evaluating video response because views represent the opportunities to interact with that content. A subscriber-based rate measures activity relative to the channel's accumulated audience instead. Both formulas can be valid, but their results are not comparable unless the denominator is stated.

Should shares count toward engagement?

Include shares when you own the channel and can read them in YouTube Analytics. Exclude shares for public creator comparisons because YouTube's public video statistics do not expose share count. Sponsorship.so uses likes plus comments divided by views so every channel is measured with the same available inputs.

What is the 8-minute rule on YouTube?

The 8-minute rule concerns monetization, not engagement. YouTube allows eligible monetized videos that are eight minutes or longer to use mid-roll ad breaks. Reaching eight minutes does not guarantee that an ad will run, improve the YouTube algorithm, or raise engagement. Do not stretch a useful six-minute video to eight minutes if the extra length hurts retention.

What can engagement rate not tell you?

Engagement rate cannot tell you who watched, whether they saw the sponsor segment, how long they stayed, what the comments mean, or whether anyone bought. Add audience geography, monthly audience, returning viewers, retention, clicks, and conversions. YouTube defines monthly audience as active viewers over the previous 28 days, which is often more useful than lifetime subscribers when judging current reach.

A defensible rate is specific: formula, format, channel tier, sample, and date window. Keep those five fields attached to the percentage. Then use the number to ask better questions, not to replace the rest of the creator review.

Alexandru Golovatenco

Hi, I'm Alex. I write articles about YouTube sponsorships for brands, content creators, and agencies. I also created sponsorship.so, which is a tool that helps you find the right fit for a YouTube sponsorship.