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Optimizing interactions, communications and offers to your customers is key – but how are you doing that today? Odds are, you’re A/B testing. But this method is now a thing of the past … and why is that?

A/B testing markets to customer segments, not individual customers, missing opportunities to tailor decision-making at the customer level.

A/B testing doesn’t scale – the more dimensions and choices you want to make, the longer testing takes.

What’s making A/B testing obsolete? Self-learning AI.

Join Scott Brinker, editor, and OfferFit’s CEO, George Khachatryan, for a discussion on how new AI methods are displacing traditional A/B testing, and what this means for the test & learn programs you use to maximize customer engagement.
Scott Brinker has been analyzing marketing technology and its impact on marketing organizations for more than a decade as the editor of the blog. He serves as VP Platform Ecosystem at HubSpot, helping to grow and nurture the company's community of technology partners. And he authored the best-selling book Hacking Marketing, about adapting software management practices — such as agile methodologies — to marketing teams. He holds degrees in computer science from Columbia University and Harvard University and an MBA from MIT.
CEO, OfferFit
George Khachatryan is CEO of OfferFit. Before that, he was an Associate Partner with McKinsey & Company. He holds a Ph.D. in mathematics from Cornell University.