Stop wasting your email sends on A/B tests. Increase the number of variables you test and get maximum ROI with Zembula’s point of open testing.
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Zembula uses the latest in auto machine learning, which is a form of AI to optimize for clicks, goals, revenue, or margin. A/B testing which is offered by most companies was built for controlled experiments, and not for optimizing performance during the test. With Zembula’s AI algorithm we move traffic to the winner during the test and pick a winner with higher confidence in fewer overall impressions than A/B testing.
A key improvement with Zembula’s optimization over running A/B tests with your email service provider is that Zembula picks and displays the content at the moment the email is opened instead of when it’s sent. In ESP run experiments you have to wait for the completed test to make any adjustments. Zembula is better because everything is happening in real-time at the moment of open leading to faster results and limiting the number of customers that see the content of losing variants.
The concepts behind Zembula’s auto machine learning optimization solution came out of research at Stanford University and a tutorial released late in 2018. The performance over A/B testing is significant and combining auto machine learning with Zembula’s real-time email content solution adds an additional level of performance unmatched by almost any other solution on the market today.
The final benefit of Zembula’s solution is that setting up an optimization is easier than setting up a traditional A/B test. Want to Learn more? Schedule a demo.