What if the 'winning' variation from your A/B test is actually the wrong choice for the majority of your audience?
Agility requires shifting from a mindset of finding a single 'winner' to one of continuous learning and adaptation for every customer interaction.
This show is brought to you by Eikona, an agentic marketing system for retention teams that produces double-digit uplifts from email and SMS channels by automating A/B testing. Using GenAI to send the right content to the right user, at the right time. Eikona. End generic marketing. Learn more at www.eikona.io
Today, we're going to talk about:
- Moving beyond the limitations of traditional A/B testing with reinforcement learning.
- How AI can be used to dynamically optimize and personalize customer experiences in real time, not just find a single best-fit.
- The practical impact of AI on marketing roles and how to structure teams for a future of human-machine collaboration.
To help me discuss this topic, I'd like to welcome, Nir Weingarten, CEO & Founder at Eikona.
About Nir Weingarten
Nir Weingarten is the Co-Founder and CEO of Eikona, a start-up which is using generative AI and reinforcement learning to transform lifecycle marketing. A published AI researcher with a master's degree in machine learning from Reichman University, Nir spent over a decade leading multi-disciplinary technical and product teams in the fields of AI, data and performance.
Nir Weingarten on LinkedIn: https://www.linkedin.com/in/nir-zvi-weingarten/
---------- Resources ----------
Eikona: https://www.eikona.io
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