The Beginners Guide to A/B Testing on Social Media (2024)

Strategy

Social media A/B testing is possible in real time, allowing you to refine your content marketing and advertising strategies on the fly.

Christina Newberry, Greg Sides February 7, 2022

The Beginners Guide to A/B Testing on Social Media (1)

A/B testing on social media is a powerful tool for making the best ads for your specific situation.

A/B testing goes back to the days before the internet. Direct-mail marketers used it to conduct small tests on a fraction of their contact lists before committing to the massive cost of printing and mailing a full campaign.

On social media, A/B testing produces insights in real-time. When you make it a regular part of your social media campaign, you can refine your strategies on the fly.

This article will help you understand what A/B testing is and how to make it work for your brand.

Table of Contents

What is A/B testing?

Why do A/B testing on social media?

What can you A/B test?

How to run an A/B test on social media

Best practices for A/B testing to keep in mind

Bonus: Get a free Social Ads A/B Testing Checklist to plan a winning campaign and get the most out of your ad dollars.

What is A/B testing?

A/B testing (also known as split testing) applies the scientific method to your marketing strategy. In it, you test small variations in your social media content to find out the content that best reaches your audience.

To perform A/B testing, also known as split testing, you separate your audience into two random groups. Each group is then shown a different variation of the same ad. After that, you compare the responses to determine which variation works better for you.

Depending on your social media strategy, you can use different metrics to measure success in the way that’s most relevant to you.

When doing this kind of social testing, be sure to change just one element in the two variations. You’re measuring your audience’s reaction to the entire ad. If you vary the image and the headline, for example, then you won’t know which is responsible for the differences in your two ads’ reception. If you want to test a lot of elements, you’ll have to conduct multiple tests.

Why do A/B testing on social media?

A/B testing is important because it helps you figure out what works for your specific context. There are lots of studies that look at what the most effective marketing strategies are in general. General rules are a great place to start, but general best practices aren’t always the best in every situation. By doing your own tests, you can turn general ideas into specific results for your brand.

Testing tells you about your audience’s specific likes and dislikes. It can also tell you about differences between particular sections of your audience. After all, people who follow you on Twitter might not have the same preferences as people who follow you on LinkedIn.

You can get insights from A/B testing any type of content, not just ads. Testing your organic content can also provide valuable information about what content is worth paying to promote.

Over time, you will gain insights about what works best for you on each social network. But you should continue to test small variations, even when you think you have a winning formula. The more you test, the better your understanding will be.

What can you A/B test?

You can A/B test any component of your social media content, but let’s look at some of the most common elements to test.

Post text

There are lots of things about the type and style of language in your social media posts that you can test. For example:

  • Post length (number of characters)
  • Post style: a quote versus a key statistic, for example, or a question versus a statement
  • Use of emoji
  • Use of a digit for posts linking to a numbered list
  • Use of punctuation
  • Tone of voice: casual versus formal, passive versus active, and so on

Source: @IKEA

Source: @IKEA

In these two tweets, IKEA has kept the same video content, but varied the ad copy that accompanies it.

Link preview content

The headline and description in a linked article preview are highly visible and important to test. Keep in mind that you can edit the headline in the link preview, so it does not have to be the same as the headline on your website.

Calls to action

Your call to action (CTA) is another important part of your marketing. It’s where you ask readers to engage. Getting this right is critical, so be sure to hone in on the best CTA through social media A/B testing.

Source: Facebook

The World Surf League has kept the same ad structure. But each one version has Install Now as the CTA, while the other has Use App.

Use of image or video

While the research suggests that posts with images and videos perform best overall, it’s important to test this theory with your audience. For example, you could test:

  • Text only versus posts with an image or video
  • Regular image versus animated GIF
  • Photos of people or products versus graphs or infographics
  • Length of video

Source: @seattlestorm

Source: @seattlestorm

Here, the Seattle Storm have taken two different approaches to the images in their promotion of shooting guard Jewell Loyd. One version uses a single image, while the other uses two in-game images.

Ad format

Test different formats to see which are most effective for your content. For example, in your Facebook advertising, maybe carousel ads work best for product announcements, but a local ad with a “Get Directions” button works best when you’re launching a new store.

A/B testing Facebook ads formats against one another can help you determine which to use for each type of promotion.

Hashtags

Hashtags can extend your reach, but do they annoy your audience or drive down engagement? You can find out with social media A/B testing.

Don’t just test using a hashtag versus using no hashtag. You should also test:

  • Multiple hashtags versus a single hashtag
  • Which industry hashtags result in the best engagement
  • Hashtag placement within the messaging (at the end, the start, or in the middle)

If you use a branded hashtag, be sure to test it against other industry hashtags, too.

Target audience

This one is a little different. Rather than showing variations of your post or ad to similar groups, you show the same ad to different audiences to see which gets a better response.

For example, A/B testing Facebook ads might show you that some groups respond well to retargeting ads, but others find them creepy. Testing theories like this can tell you exactly how particular audience segments respond.

Targeting options vary by social network, but you can generally segment by gender, language, device, platform, and even specific user characteristics like interests and online behaviors.

Your results can help you develop specialized campaigns and a strategy for each audience.

Profile elements

This also works a bit differently. You’re not creating two different versions and sending them out to distinct groups. Instead, you should monitor your profile on a particular social network to establish a baseline number of new followers per week. Then, try changing one element, like your profile image or your bio, and monitor how your new follower rate changes.

Try to post the same kind of content and the same number of posts during the weeks of your testing to minimize the influence of your posts and maximize the impact of the profile change you’re testing.

Airbnb, for example, often updates their Facebook profile image to coordinate with seasonal events or campaigns. You can bet they’ve tested to ensure this strategy helps, rather than hurts, their Facebook engagement.

Website content

You can also use social media A/B testing to help you make decisions about the content on your website.

For example, A/B testing social media images can provide a sense of what works best with a particular value proposition. You can use that information to influence which image to place on the landing page for the relevant campaign.

Just don’t forget to test to make sure the image performs as well on the website as it did on the social media.

How to run an A/B test on social media

The basic process of A/B testing has remained the same for decades: test small variations one at a time to discover what works best right now for your current audience.

The great news is that social media has made it much easier and more efficient, so you can run tests on the fly rather than waiting months for results to come in by mail.

Remember: the idea is to test one variation against another, then compare the responses and choose a winner.

Here’s the basic structure of an A/B test on social media:

  1. Choose an element to test.
  2. Dig into existing knowledge for ideas about what will work best—but never be afraid to challenge assumptions.
  3. Create two variations based on what your research (or your gut) tells you. Remember to have only one element differ between the variations.
  4. Show each variation to a segment of your followers.
  5. Track and analyze your results.
  6. Choose the winning variation.
  7. Share the winning variation with your entire list, or test it against another small variation to see if you can improve your results further.
  8. Share what you learn throughout your organization to build a library of best practices for your brand.
  9. Start the process over again.

Best practices for A/B testing to keep in mind

Social media marketing tools make it easy to generate lots of data about your audience, but lots of data isn’t the same thing as lots of insight. These best practices will help you

Know what your social media goals are

A/B testing is a tool, not an end in itself. When you have an overarching social media strategy, you can use social testing to move your brand towards goals that are relevant to your overall business plan.

Have a clear question in mind

The most effective A/B tests are ones that respond to a clear question. When designing a test, ask yourself “why am I testing this particular element?”

Learn the basics of statistics

Even if you don’t have a background in quantitative research, a little bit of knowledge about the math behind your social testing will go a long way.

If you’re familiar with concepts like statistical significance and sample size, you’ll be able to interpret your data with more confidence.

Hootsuite can help you manage your next social media A/B test. Schedule your posts, track the success of your efforts, and use your results to adjust your strategy.

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By Christina Newberry

Christina Newberry is an award-winning writer and editor whose greatest passions include food, travel, urban gardening, and the Oxford comma—not necessarily in that order.

Read more by Christina Newberry

By Greg Sides

Greg Sides is a freelance copywriter, editor, translator, and general dealer-with of written things.

Read more by Greg Sides

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The Beginners Guide to A/B Testing on Social Media (2024)

FAQs

What is a B testing answer? ›

A/B testing definition

A/B testing—also called split testing or bucket testing—compares the performance of two versions of content to see which one appeals more to visitors/viewers. It tests a control (A) version against a variant (B) version to measure which one is most successful based on your key metrics.

What is a B testing HubSpot answer? ›

A/B testing allows you to test two versions of a page at the same URL to see which one performs better. Half of your visitors will see one version of the page, while the other half will see the alternate version. You can compare each version's performance in the page's performance data, then select a winning variation.

What is a B testing for dummies? ›

A/B testing works by randomly showing two versions of the same asset (ad, website, pop-up, offer, etc.) to different users. The random part is important because this provides more accurate information without skewing the results. One version is the “control” group, or the version already in use.

Can you do a B testing on Facebook? ›

You can create an A/B test in Ads Manager or in the Experiments tool. Learn more about the ways to create an A/B test.

What is AB testing in social media? ›

An A/B test is a method of comparing two variations of an ad, piece of content, or other material so you can see which version performs better. Also known as split testing, A/B testing involves changing one small element at a time (like a headline or graphic) to refine your results.

What is AB testing examples? ›

What is A/B testing? A/B testing is a controlled experiment in which you run two different product or website versions simultaneously and see which one performs better. For example, you might run your current sales page against a new version with a section that addresses objections.

How to master A/B testing? ›

A/B testing, also known as split testing, is a marketing experiment wherein you split your audience to test variations on a campaign and determine which performs better. In other words, you can show version A of a piece of marketing content to one half of your audience and version B to another.

What is the basic idea behind a B testing? ›

A/B testing is essentially an experiment where two or more variants of a page are shown to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal.

What is AB testing in layman terms? ›

A/B testing is the most common form of testing used in digital marketing. Two versions of a landing page or element are compared to determine which one performs better in terms of a specific goal, like click-through rates or conversion rates.

How to do a B testing on Instagram? ›

3 simple steps to successfully run an Instagram split test
  1. Choose two different posts and post them at the same time (with a short break in between).
  2. Compare the results and analyze what worked best.
  3. Repeat steps 1-2 until you find the best performing post.
Oct 19, 2022

How do I become a beta tester for Facebook? ›

Facebook
  1. Go to the Google Play Store and log in if necessary.
  2. Tap Become a Beta Tester.
  3. If you don't have Facebook installed already, tap Download Facebook on Google Play.

Does Facebook do unit testing? ›

Software testing at Facebook is in a very dynamic place right now. Over the last few years we've gone from basically only manual testing by the engineers making changes to doing a very broad array of unit tests, automated browser testing, and the more typical-of-us manual testing.

What is the meaning of B test? ›

In A/B testing, A refers to 'control' or the original testing variable. Whereas B refers to 'variation' or a new version of the original testing variable. The version that moves your business metric(s) in the positive direction is known as the 'winner.

How do you define a B test? ›

A/B testing (also known as split testing or bucket testing) is a methodology for comparing two versions of a webpage or app against each other to determine which one performs better.

What is AB testing Quizlet? ›

A/B Testing, also known as split testing, is a method of website optimization in which the conversion rates of two versions of a page — version A and version B — are compared to one another using live traffic.

What is the main reason to use an A B test? ›

An A/B test is a method of testing changes to determine which changes have the desired impact and which do not. While organizations once only occasionally turned to A/B testing, now many teams across 51% of top sites A/B test to improve customer experience and boost conversions.

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