Find the winning strategy with Split Test Gain greater control over optimization and strategic experimentation with split testing.
What is Split Test? Commonly referred to as A/B testing, Split Test is a tool available on TikTok Ads Manager, Experiment Manager and Marketing API, where you can scientifically test two different strategies at the Campaign or Ad Group Level and see which one performs better, helping you optimally scale your spend.
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Test to find your optimal ad settings
Learn from accurate and statistically significant results
Optimize and strategically scale your spend
Test different versions of ads to learn which ad settings are the most effective and drive higher return on ad spend.
Run scientifically designed A/B tests with a 90% confidence rate to determine which ad group performs better. The model selects and verifies a winning version only if the results are statistically significant.
Apply learnings from split tests to confidently optimize campaigns, identify new best practices, and scale spend by continuing with the winning version.
CONFIDENTIAL & PROPRIETARY
Why choose Split Test?
Best Practices 01
Test one variable at a time Focus on testing only one significant variable per split test to accurately attribute performance changes to a specific element.
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Ensure sufficient budget and duration Make sure that your budget shows that the Estimated Testing Power is "sufficient". We recommend testing for a minimum of 14 days to obtain the most reliable results.
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Define clear metrics Clearly define the key metric(s) you want to optimize for. This provides a measurable goal and a clear indicator of success.
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Monitor regularly Keep a close eye on the test performance. While minimal adjustments during an active test are recommended to maintain integrity, regular monitoring helps you stay informed.
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Act on insights Use the insights gained from the tests to inform future campaign strategies, scale winning variations, and continuously improve the overall ad performance.
Ready to unlock peak performance with Split Testing? 1