AI decisioning: Applying reinforcement learning agents to lifecycle marketing to optimize engagement and conversions

What do Netflix, Spotify, and Google have in common? They all use contextual multi-armed bandits (CMABs), a reinforcement learning strategy, to deliver 1:1 personalized experiences to their customers on your screens, speakers, and search results. Those same algorithms are now being democratized and applied to lifecycle marketing channels through AI Decisioning platforms, like Hightouch. Already the results are impressive, driving 10-20% incremental sales lift for companies like WHOOP and Petsmart. Join Rishabh Anand, Head of Product for AI Decisioning at Hightouch to learn: - How CMABs replace traditional A/B testing with continuous learning to improve performance over time - How CMABs improve personalized experiences by understanding context and making decisions based on nuanced inputs - How you can apply these agents to lifecycle channels like email, push, and SMS to drive engagement and LTV