A/B Testing

The #1 YouTube A/B Testing Tool

Test your thumbnails, titles, and tags to gather detailed data that makes your videos stand out and elevate your channel.

test thumbnails, titles, tags, and more

Being able to test your videos can be the difference between growing your channel or sinking it into obscurity. With our A/B testing tools you can:

  • Test for a variety of metrics, including click-through rate, total engagement, traffic sources, watch time, and more.
  • Effortlessly set up experiments and pinpoint which thumbnail, title, and description maximizes your video’s potential for success.
  • Dive into the data in real time to quickly manage your tests and make data-driven decisions.
Thumbnails will get the most clicks. Combine advanced analytics with AI and watch your Click-Through Rate increase.

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AB Testing

empower your content strategy with data

Your videos’ titles, descriptions, and tags are some of the most important factors for ranking your videos on YouTube and Google. But if you don’t know what keyword to optimize for, you risk losing a lot of potential traffic. With TubeBuddy you can:

  • Optimize your metadata to rank higher, drive more traffic, and improve your channel’s visibility.
  • Empower your content strategy by taking proven data from each test and applying it into future videos.
  • Unlock the true potential of your videos by testing different keywords inside your descriptions.

Get more clicks with thumbnail A/B tests

here’s how TubeBuddy’s A/B Testing works

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How to optimize your videos with A/B tests

Step 1: Click on the TubeBuddy menu, and under “Website Tools,” click on “A/B Tests.”

Step 2: Click on “Create AB Test” and select the video you want to test.

Step 3: Select whether you want to run a thumbnail or metadata test.

Step 4: Define the tests’ length, add the new thumbnail or metadata, and start running your tests.

Checkout what other creators are saying

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Karl Oftebro

“Once it got my videos ranking #1 in search I was hooked.”


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Danie Jay

“TubeBuddy is VITAL for any YouTuber who is serious about making their channel a lucrative side-hustle or full-time job!”


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Karin Carr

“TubeBuddy is like having a YouTube expert on staff who will give you advice and direction whenever you need it.”


Frequently Asked Questions

How accurate are TubeBuddy thumbnail and title A/B tests?

To be declared a winner in a TubeBuddy YouTube A/B test, a thumbnail, title, or other variable must reach 95% statistical significance. In other words, we’ll only declare a winner when we’re sure the performance difference can be attributed to the thumbnail, title, or other variable you’re testing.

If you’re confident in the results before the YouTube A/B test reaches statistical significance, you can declare an A/B test winner at any time.

Will running frequent A/B tests negatively impact how YouTube’s algorithm perceives or ranks my videos?

Not at all. TubeBuddy will show your variations to a small percentage of your potential viewers (around 50%). When it comes to thumbnails, if a variation is worse than the control (the original thumbnail), fewer people will click on it.

However, metadata tests are a bit more risky as changes to your title, description or tags will cause your video to temporarily drop out of search results while YouTube reindexes it. This can take between a few minutes to a few hours.

In other words, A/B test YouTube thumbnails frequently, A/B test YouTube metadata (title, description, tags, etc) intentionally.

Is the feature user-friendly, especially for those who are not tech-savvy or familiar with A/B testing principles?

Definitely! Running an A/B test with TubeBuddy is as simple as defining:

1. What you want to test—a thumbnail or metadata (like title, description, or tag)
2. How long you want to run the test—for a given amount of time (like 14 days) or until it reaches statistical significance
3. The new elements you want to test—e.g., adding a new thumbnail

Once you do this, your tests will be ready to run. After achieving statistical significance, your video will automatically be set to the winning version.

How much traffic or how many views are required for the A/B test results to be statistically significant?

Statistical significance is a standard mathematical calculation that lets you know when one version of the test has a 95% (or better) chance of outperforming the other in the long run.

TubeBuddy defines statistical significance based on video impressions and clicks. Before a test reaches statistical significance, both the control and variation must get at least 500 impressions.

These impressions come from YouTube’s search results and third-party video suggestions. If your videos are SEO-optimized, your tests could reach statistical significance in as little as a few days.

Could frequently changing metadata and thumbnails confuse my subscribers or regular viewers?

Not at all. YouTube users will only see one version of your metadata or thumbnails, so they will never know you’re running A/B tests.

Are there any limitations to how many A/B tests I can run simultaneously or within a given time frame?

TubeBuddy Legend users have no limit on how many tests they can run on titles, descriptions, or thumbnails per month or in total. However, there is a limit of 10 A/B tests running at any given time.

For example, you could run five thumbnail tests for five videos, three title tests for three videos, and two description tests for two videos. In total, that’d be 10 tests.

As your tests finish (depending on the time limits requested), you can create more A/B tests.

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