A/B Testing Definition
A/B testing is where you have 2 variations of a page or app and split the traffic evenly to both pages to see which one performs better. Running an A/B test allows you to test anything on your page from an image, copy on a button or the colours you use. By A/B testing, you can determine which version works best to drive engagement or conversions, then use the winning variation moving forward.
Why A/B Testing Is Important
A/B testing proves that making small changes can have a big impact on your business. It also allows you to make changes on your site that are proven to be more effective. If you’re unsure of which image you should use on your homepage or what CTA drives higher conversion, you can test it out to know for sure which one performs better rather than guessing.
Running an A/B test allows you to measure the effect of a specific change which can allow you to collect data surrounding that change and use it to make data driven decisions and test other elements on your page. A/B testing also allows you to pinpoint what has an effect on users behaviour so you can implement several of the “winning” variants on your site to drive towards your desired results.
A/B testing is one of our specialties here at Taplytics. You can read more about A/B testing in some of our blogs below:
You can learn more about no-code A/B testing with Taplytics here.
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