Reaching statistical significance in A/B tests can be difficult. In fact, many experiments don't hit that mark, leaving teams without clear learnings or the ROI they hoped for. But our top-performing customers? They reach significance twice as often. How do they do it? It's all about smart setup and configuration.
Now you can make those same winning decisions leveraging the Experiment Review Agent, your automated second set of eyes, built directly into Optimizely Experimentation. It's here to help you launch tests with confidence and reach statistical significance more frequently.
How it works:
- Improve win rates: Recommendations are built off the results from 127k experiments that Optimizely has analyzed to give you specific, actionable advice on how to maximize your odds of finding a winner (or a “learner”)
- Launch with confidence: Gives you an expert advisor that can double check every experiment.
- Built on your data: No need to copy and paste data or write up a prompt, the Experiment Review Agent knows how the experiment is configured in your Optimizely instance.
With the help of this AI agent, you can launch tests more confidently and achieve statistical significance more often.
Want to learn more? Check out the other episodes of Hype to Hero to see what else our AI can do.
