Strategies for Acing A/B Tests

A/B tests are one of the most effective methods of maximizing your marketing dollars. The learnings help you keep marketing budgets cost effective while driving better results.  

In basic terms, A/B testing means taking two different creative options and presenting them to two groups—a control group (A) and a test group (B), to determine which option moves you closer to your marketing goals. You can use A/B strategies for something as small (but important) as testing subject lines, or for bigger efforts like testing out entirely new rebrand designs. Here are steps you can take to ace your A/B tests.

Running ads with A/B testing allows you to run campaigns with different copy, calls to action (CTAs), and design options. With the analytics on ad response, you can remove the lower performers in favor of the better performing ads. 

You can also create derivatives of higher performing ads for future campaigns. Social media platforms are set up to support A/B testing (for example, Google allows you to create ad sets when running Google ads).

To test ads, it’s important to determine what you want to test first. While this may seem obvious, it’s not uncommon for businesses to put up two different ads without fully scoping out what learnings they want to obtain. 

For example, testing out different photography options with the same CTA in ads may tell you that customers click the ad with photo A more often than the ad with photo B. Still, if what you really want to do is test CTA effectiveness, the photo preferences don’t give you the learnings you want about the impact of your CTA on conversions. 

The same principle applies when trying to test too many variables at once—you may learn that A has a higher click through rate (CTR) and conversions than B, but you won’t be able to tell why if each ad had 4-5 different variables (see split testing below for options with multiple variables). 

In brief, A/B tests work best when you have a clear testing goal in mind and can isolate which relevant variables you’re testing for your campaigns. 

A side note—depending on your ideal client profile, you can also consider testing ads on different platforms. For example, a university running ads to attract prospective students may want to test parent-focused ads on Facebook and student-focused ads on TikTok, using the same best practices of A/B testing above.

Another common mistake to avoid—testing ads without also testing the landing page or web page the ad leads to. For example, if CTRs are high but you’re not getting conversions, it may be the landing page that needs tweaking, not the ad itself. 

You can experiment with different elements to drive people through the funnel, including: 

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Beyond ads, you can test your website at a broader scale with split testing. With split testing, you have the ability to try out completely different campaigns at once, or test out dramatically different new designs, such as complete rebrands. 

A/B testing is a useful approach for both cold outreach emails and emails/newsletters to existing customers or subscribers. 

This is an overview of ways to ace A/B tests, but there are many more considerations and A/B testing opportunities to consider. If you would like to learn more about testing the effectiveness of your marketing dollars and what that could look like for your organization, schedule a call today.


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