FIRESIDE CHATS ON STRATEGIC GROWTH
Join us for Episode 11 of Turbocharge Tomorrow as Emanuel Paz, Head of Data at Distillery, shares how e-commerce teams can align real-time data, behavioral insights, and AI-driven discovery with the signals that actually drive conversion and revenue.
Episode #11: Where Real-Time Matters Most in E-Commerce
Real-time data has become the default ambition for modern e-commerce teams. Track every click. Stream every event. React instantly. But speed alone doesn’t guarantee better outcomes.
In this episode of Turbocharge Tomorrow, Emanuel Paz, Head of Data at Distillery, joins host Ethan Cole, PhD, to unpack how experienced data teams decide where real-time truly matters, and where it simply adds cost and complexity. From AI-driven product discovery to behavioral analytics, Emanuel shares how teams can connect data signals to what actually drives conversion.
Episode Highlights:
In this episode, Emanuel Paz breaks down how product discovery is shifting as more consumers begin their journey inside AI tools instead of traditional search. He explains what this means for how companies structure product data, metadata, and content, and why visibility in LLM-driven experiences is becoming a new priority alongside traditional SEO.
The conversation then moves into what happens after discovery, where behavioral data and machine learning still play a critical role. Emanuel walks through the signals that actually correlate with conversion, from clickstream patterns to friction indicators like hesitation and abandonment, and shares how teams can better connect those insights to revenue outcomes.
They also explore where machine learning continues to outperform more complex AI approaches, especially in areas like pattern detection and conversion optimization. Emanuel highlights the importance of using the right tool for the problem, rather than defaulting to the latest trend.
The episode closes with a practical framework for evaluating real-time investments. Emanuel outlines how teams can simplify data architecture, focus on the metrics that matter, and ensure their systems support decision-making, not just faster dashboards.