With our new A/B testing capabilities, you can easily test different calls-to-action, images, widget placement, discounts or widget styles. Based on the results, you can display the highest converting option to site visitors.
Every Store Has A Unique Audience
When a brand attracts visitors to their site, what motivates those visitors to become a subscriber is different from store to store. Some customers are highly sensitive to discounts or specific language while others aren't. A/B testing allows you to test what best motivates your audience to convert from visitors to subscribers.
How to Set-up an A/B Test for Your Opt-In Tools
As an example, we'll set up an A/B test for the exit intent pop-up. This pop-up is already a high-converting opt-in tool, however we can use A/B testing to fine tune messaging, promotions, and imagery for our audience.
We've created the opt-in tool show below.
From the opt-in tools section of the Octane AI back-end, you can dive into the analytics for each opt-in tool to see how many views and conversions it results in.
By selecting the exit intent opt-in tool and scrolling to the bottom, you can start an A/B test for this opt-in tool. For any A/B test, you can make major changes or small details to see how it impacts the conversion rate. When your A/B test is done, you can end the test and select the winning test to be your live pop-up.
For our example, we'll A/B test with a larger discount, different language, and a new image.
You can create up to four variations to A/B test at one time with the weight distributed as you like. In this case, 25% of site visitors will engage with one of these 4 A/B tests. This will allow us to see the image, language, and promotion that resonates most with customers after we've ended our test.
Continuously Use A/B Testing to Improve
As customer preferences change, continuously testing opt-in tools will allow you to see what's resonating most with your customers right now. Whether it's specific language, images, or promotions for your brand.