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    • Understanding Data Updates After Pausing an A/B Test
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  • Two Ways to Test
  • What the Results Tell You
  1. A/B Testing

Setting Up A/B Tests

With Because A/B Testing, you can test campaigns in real time to see exactly what’s resonating with your shoppers—and optimize based on real results.

PreviousShopify Data IntegrationNextUnderstanding Data Updates After Pausing an A/B Test

Last updated 17 days ago

No more guessing. Just clean, clear data that helps you double down on what works.


Two Ways to Test

When creating an A/B test in Because, you’ll choose from two powerful formats:

  • Campaign vs. Control

    This tests your dynamic campaign against nothing at all. It’s the perfect starting point to get a benchmark—how much lift is your message actually providing compared to a blank slate?

  • Campaign vs. Campaign

    Want to test two different messages? This is for you. Try different headlines, background colors, or icons—but keep everything else the same (like placement and targeting) so your test stays focused.


What the Results Tell You

  • Green = Performing well

  • Red = Underperforming

  • Blue = Neutral

You’ll find this in your A/B Testing dashboard, along with your cumulative testing data—so you can track impact over time.

Be sure to wait until you have at least four thousand impressions before making any final calls. That way, your insights are statistically sound.

Need more help? Reach out to our support team at for expert guidance!

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support@trybecause.com
How to Use Because for A/B Testing