We're diving into the world of A/B testing in paid media.
If you're looking to optimise your ad performance and boost your ROI, you're in the right place. Let's explore how you can use A/B testing to make your ads work harder for you.
A/B testing is a method of comparing two versions of an ad to see which one performs better. It is a head-to-head competition where only the best version wins.
You show one version of your ad to one half of your audience and another version to the other half. By analysing which ad achieves better results, whether clicks, conversions, or engagement, you can then determine the most effective elements of your campaign.
Paid media is all about making the most out of every penny you spend. When you're investing in PPC (Pay-Per-Click) campaigns, it's crucial to ensure your ads are as effective as possible. A/B testing helps you fine-tune your ads by understanding what resonates best with your audience.
A/B testing doesn't just benefit the brand, it significantly enhances the user experience. By continually testing and optimising ads, marketers can ensure that users are presented with content that is more relevant, engaging, and useful. This means users can more easily find what they are looking for, leading to a smoother and more satisfying interaction with your brand.
By continually testing and optimising, you can improve your ad performance, increase conversions, and ultimately get a better return on your investment (ROI).
Setting up an A/B test might sound daunting, but it's pretty straightforward. Here’s a step-by-step guide to get you started:
#1 Define Your Goal
What do you want to achieve? More clicks, higher conversion rates leading to an improved ROI, or increased engagement? Having a clear goal will help you measure success accurately.
#2 Choose What to Test
This could be anything from ad copy, headlines, and images to call-to-action buttons, landing pages, or even the ad format. Remember, test one element at a time for clear results. From our human-first approach, tests can be run against different triggers and nudges for audiences helping you craft messages that lead your audience to take action. If you are running ads for limited stock products then you could test the scarcity effect which is where people tend to assign a higher value to items or opportunities that are perceived as limited i.e “only 10 left, don’t miss out”.
#3 Create Variations
Develop two versions of your ad. Make sure the changes are significant enough to potentially impact performance.
#4 Split Your Audience
Use your ad platform’s targeting options to split your audience into two equal groups. This ensures each version of your ad is shown to a comparable audience.
#5 Run the Test
Launch your ads and let them run for a sufficient period. This duration depends on your audience size and the typical engagement rate but generally aim for at least a week.
#6 Analyse the Results
Once your test has run its course, compare the performance metrics of both ads. Look at key indicators like click-through rates (CTR), conversion rates, and cost per acquisition (CPA).
#7 Implement the Winner
Use the insights gained to inform your future campaigns. If one ad performed better, use it as your new control to test against further variations.
To get the most out of your A/B testing, keep these best practices in mind:
Ready to give A/B testing a go? Start small, stay consistent, and watch your ad performance and ROI grow!
If you want to learn more about applying psychological principles to your A/B testing check out our blog.
Contact UsFar from your workaday Account Manager, Hannah strives to be your organisation’s representative within Reflect Digital. She brings a strategic mindset to all of her work, and works consultatively with her clients to ensure that, together, they can find the way to take their digital marketing to the next level, and smash their targets. She also ensures all of the Reflect’s teams are aligned, prepared and organised to give her clients the best experience.
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