With AI, marketers are able to predict dozens of metrics like CLV, likelihood to purchase, and overall revenue. It gives us the ability to unlock new dimensions of our database, to go from being reactive to being proactive, and to predict the future. They’re getting in front of customers and automating the execution of next-best offers, 1-to-1 content, individualized incentives, and more. But the most exciting part of AI for e-commerce and retail marketers is its ability to calculate the likelihood of an action happening or not happening. You can also define opportunities within repeat segments, lapsing segments, churning segments, and more to fill revenue gaps. In this episode, we take a look at what the marketing matrix is, how AI helps escape it, and numerous use cases and examples that demonstrate how it’s driving real world value.

Make sure you also explore how AI can help predict dozens of marketing metrics and unlock new dimensions of your database - check out our white paper here: http://bit.ly/ai-whitepaper