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AI for Optimizing Customer Lifetime Value

Wednesday, July 15, 11 AM ET

Key Takeaways

  • Learn how to use AI to measure, predict, and optimize customer lifetime value across your GTM strategy.
  • Understand how to structure and feed data into marketing AI systems to improve targeting and personalization.
  • Discover practical AI use cases across the go-to-market motion — from acquisition to retention and expansion.

Your Presenter(s)

Tobi Konitzer headshot

Tobi Konitzer

VP of AI at GrowthLoop

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Tobi leads AI at GrowthLoop, where he focuses on closed-loop marketing powered by causal inference, reinforcement learning, and agentic systems. A two-time founder, he sold his LTV prediction startup before joining GrowthLoop, and has spent the past decade moving AI from prediction to actually influencing customer outcomes. Tobi holds a PhD in computational social science from Stanford and previously conducted research at Facebook.

Why this matters

Customer lifetime value has long been a key metric in go-to-market strategy, but most organizations are still making decisions based on historical averages and static segments. AI is changing that — enabling marketers and GTM teams to predict, influence, and optimize CLV with a precision that was previously out of reach. The shift from descriptive analytics to causal, closed-loop AI is creating a new playbook for growth.

In this presentation webinar, Tobi Konitzer, VP of AI at GrowthLoop, will show you how to use AI to optimize customer lifetime value and drive more effective go-to-market execution. You’ll learn how data feeds modern marketing AI, explore practical use cases for AI across the GTM motion, and understand how causal AI can help you move beyond prediction to actually changing customer behavior.

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