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, chiefmarteccom 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.
Sponsored by Offerfit
A/B testing can be effective for lifecycle marketing (i.e., campaigns to existing, identified customers), but it takes too long and requires too much effort to scale. OfferFit replaces A/B testing with AI that automatically makes unique, optimized decisions for each of your customers along multiple dimensions (such as channel, message, incentive, timing, and frequency). Companies using OfferFit have seen campaign performance lift of at least 20%, and in some cases as much as 300%.