How AI-Driven Automated Experimentation is Replacing A/B Testing
A/B testing can be a powerful tool, but artificial intelligence can take it to the next level. Here’s how AI-Driven automation is replacing A/B testing in modern marketing. A/B testing is a tried and true methodology marketers have been using for decades to make more informed decisions and eliminate bias as much as possible. Advanced marketers and business leaders understand the importance of minimizing human error and gut-based decisions, and instead acting on relevant data gathered from reputable sources.
The problem with manual A/B testing in 2022 – Split testing is a great way for marketers to compare two pieces of marketing material (whether it’s two emails, landing pages, or types of social posts) to see which elements perform better. This is done through statistical analysis, and while doing this manually or through a dedicated tool might not be a problem when the data source is relatively small, nowadays marketers are overwhelmed by the sheer volume of data generated by different customer segments. This creates the need to move away from manual testing and embrace automated testing methodologies,
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