This session shares how we evolved Prezi from a traditional SaaS product into an AI-first, agent-native experience, moving through several stages: AI features, AI onboarding, native AI editing, and fully agentic workflows.

For each stage, we will connect product choices to the metrics they most directly influence, including activation, time-to-value, retention, and conversion, and where measurement can get misleading.

We will also dig into the data challenge of chat-based UX: when users express intent in language instead of clicks, tracking becomes messier, attribution gets fuzzy, and “what happened” often lives in multi-turn context.

As head of strategy and analytics, Zoltán Prekopcsák is driving product-led growth at Prezi. Through deep data insights, rapid experimentation, and practical adoption of AI, Prezi has accelerated growth at scale.

Prior to Prezi, he was the co-founder and CEO of Radoop, a big data analytics startup, that he sold to RapidMiner in 2014. He worked in product, engineering, and data leadership roles before joining Prezi in 2019. Before his startup journey, he worked as a data scientist and a machine learning researcher. He has been an early adopter of Prezi and registered as the 29th user back in 2008.