Whether you’re looking to increase revenue, sign-ups, social shares, or engagement, A/B testing and optimization can help you get there.
But for many marketers out there, the tough part about A/B testing is often finding the right test to drive the biggest impact — especially when you’re just getting started. So, what’s the recipe for high-impact success?
Truthfully, there is no one-size-fits-all recipe. What works for one business won’t work for another — and finding the right metrics and timing to test can be a tough problem to solve. That’s why you need inspiration from A/B testing examples.
In this post, let’s review how a hypothesis will get you started with your testing, and check out excellent examples from real businesses using A/B testing. While the same tests may not get you the same results, they can help you run creative tests of your own.
A/B Testing Hypothesis Examples
A hypothesis can make or break your experiment, especially when it comes to A/B testing. When creating your hypothesis, you want to make sure that it’s:
- Focused on one specific problem you want to solve or understand
- Able to be proven or disproven
- Focused on making an impact (bringing higher conversion rates, lower bounce rate, etc.)
When creating a hypothesis, following the “If, then” structure can be helpful, where if you changed a specific variable, then a particular result would happen.
Here are some examples of what that would look like in an A/B testing hypothesis: