> For the complete documentation index, see [llms.txt](https://because.gitbook.io/because/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://because.gitbook.io/because/a-b-testing.md).

# A/B Testing

- [Setting Up A/B Tests](https://because.gitbook.io/because/a-b-testing/setting-up-a-b-tests.md): 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.
- [Understanding Data Updates After Pausing an A/B Test](https://because.gitbook.io/because/a-b-testing/understanding-data-updates-after-pausing-an-a-b-test.md): When managing A/B tests in Because, you might notice data updates continuing after a test has been paused. This guide explains why this happens and how to interpret your test results accurately.
- [How Split Ratios Affect Your A/B Test Results](https://because.gitbook.io/because/a-b-testing/how-split-ratios-affect-your-a-b-test-results.md): This guide explains how changing the split of your A/B test (e.g., from a 50/50 split to a 70/30 split based on impressions) affects the statistical significance and performance of your test.