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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.

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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.

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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.

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For our example, we'll A/B test with a larger discount, different language, and a new image.

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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.

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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.

It's Easy to Start A/B Testing Today

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