Optimize Everything: Data, Analytics & Event Tracking for AI-First Products

Shipping is just the beginning. The builders who compound their growth are the ones who instrument everything, understand their users deeply, and make decisions driven by data — not gut feeling.

This session is about building the analytics foundation that turns your product into a learning machine. We’ll cover the full stack from event instrumentation all the way to AI-powered insights, with concrete tool recommendations at every layer so you leave with a clear picture of what to build and what to use.

What we’ll cover:
∙ Event tracking & instrumentation — how to design a clean, scalable event taxonomy from day one; the difference between good and bad instrumentation, common mistakes that make your data useless later, and how to track user behavior in a way that actually answers your most important questions
∙ Product analytics: retention, funnels & engagement — how to measure what matters; building funnels that reveal where users drop off, retention curves that tell you if your product has real staying power, and engagement metrics that go beyond DAU/MAU to capture genuine value delivery; recommended tools include PostHog, Mixpanel, and Amplitude
∙ A/B testing & experimentation — how to run experiments that produce trustworthy results; designing tests with statistical rigor, avoiding the most common experimentation mistakes, and building a culture of testing that compounds over time
∙ Revenue & monetization analytics — connecting user behavior to business outcomes; tracking MRR, LTV, conversion rates, and paywall performance so you always know which parts of your product are driving revenue and which are leaking it
∙ AI-powered insights & anomaly detection — how to use AI to surface patterns, flag anomalies, and generate insights from your data that would take a data team weeks to find manually; practical approaches using modern tools that put intelligent analytics within reach of any indie builder
We’ll pair every concept with specific tool recommendations — from PostHog and Mixpanel for product analytics to Statsig and GrowthBook for experimentation — so you can build the right stack for your stage without over-engineering it.

Who should attend:
Founders, product-minded engineers, and AI-first builders who want to stop flying blind and start making decisions backed by clean, reliable data.

Come with your product and your biggest unanswered question about your users. We’ll help you figure out how to answer it.