{"id":91,"date":"2021-10-22T11:27:00","date_gmt":"2021-10-22T11:27:00","guid":{"rendered":"https:\/\/catarina.ukathemes.com\/demo-1\/?p=91"},"modified":"2022-05-27T07:47:25","modified_gmt":"2022-05-27T07:47:25","slug":"how-to-ab-test-facebook-ads-in-the-right-way","status":"publish","type":"post","link":"https:\/\/adscook.com\/blog\/how-to-ab-test-facebook-ads-in-the-right-way\/","title":{"rendered":"How to A\/B Test Facebook Ads in the Right Way"},"content":{"rendered":"

Would you like to test out different scenarios in your life and measure which one results in the best outcome? While that\u2019s impossible in real life, it\u2019s perfectly possible when it comes to Facebook Advertising. <\/span>In this article, we are going to cover the basics on how to A\/B test Facebook ads<\/strong>, shed some light on the key questions that arise regularly and try to answer them in the most comprehensible way possible.<\/span><\/p>\n\n\n

1. What is A\/B Testing Facebook Ads? <\/h2>\n\n\n\n
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A\/B testing, or split testing Facebook ads simply involves putting two or more versions of one variable against each other with the purpose of establishing which is the most effective and resonates best with your target audience. You can A\/B test ad format, ad copy, headlines, images, target audience or placement.<\/p>\n<\/div><\/div>\n\n\n\n

In other words, you essentially set aside your gut feeling as to which kind of creative, ad copy or targeting will work for your Facebook ad campaign and let the audience decide instead, based on their reaction and feedback. Rather than choosing to show your audience a video ad over an image ad because, well, everyone out there claims that videos are trending now, you put both versions in front of them and see how they respond to them after a certain amount of time.<\/p>\n\n\n\n

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Increase Your FB Ads ROAS with Automation<\/p>\n

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The purpose of A\/B testing your Facebook ads is not only to increase your conversions by using the best performing version, but also to gain valuable insight into your potential buyers\u2019 behavior and use this insight across all your other marketing campaigns. <\/p>\n\n\n\n

2. Which Elements of Your Facebook Ads Should You A\/B Test?<\/h2>\n\n\n\n

Theoretically, you can test any element you want, from the color of a CTA to audience age or gender. It all depends on your hypothesis – that is, the conversion problem you\u2019ve identified, the potential solution you have come up with and how that change would positively impact the conversion problem.  <\/p>\n\n\n\n

Suppose you have identified that your ad has a high impression rate and therefore the click-through rate is low. As a result, you build a hypothesis which states that if you change your CTA text, the CTR will increase. Now you need to test and validate this hypothesis, don\u2019t you? To achieve this, you A\/B test one variable – CTA copy – while leaving all other variables the same. If the second version of the CTA wins over the original one, then your hypothesis is proved to be true. <\/p>\n\n\n\n

You might choose to A\/B test your Facebook ad campaigns from the very beginning, when you\u2019re yet to have any real idea as to what best resonates with your audience in general. Therefore, every ad campaign you run can be A\/B tested – you can test audiences, ad copies, ad formats or ad designs until you find your winning set of variables. <\/p>\n\n\n\n

The split testing elements fall under the following categories: <\/p>\n\n\n\n