At the end of this process, you’ll know whether the new variations you tried out as part of your A/B test have gotten the results you’re looking for.
If you haven’t found that there’s a significant difference between the variations you tested, that’s perfectly fine because there’s nothing wrong with testing out a wrong hypothesis. That’s exactly what testing is for! In that case, you might decide to stick with your original design or choose to continue iterating and try to find something that results in an improvement.
On the other hand, if you’ve found a new variation that philippines girls whatsapp number crushes what you were doing before, you’ll probably want to pull the trigger on rolling it out for your entire audience. Congrats!
There are so many different outcomes at this stage that we can’t really cover them all. For instance, if you have a variant with a great conversion rate but a mediocre revenue-generated number, you might want to keep testing, but that’s always a tough decision.
The best advice is to consider A/B testing as part of a broader, continuous process of conversion rate optimization and keep refining your website indefinitely.
Automate your A/B testing process with AI
As you’ve seen, A/B testing can be a complex process that requires time and effort, not to mention all the CRO knowledge you’ll need.
That’s why small brands and marketers have struggled to experience the full benefits of A/B testing—until now.
