Conversational Analytics as a System, Not a Hype Train

Most "AI for analytics" advice stops at "paste your CSV into ChatGPT." That works once (maybe). It breaks the moment your data changes, your KPIs shift, or someone else needs to reproduce your analysis.
This session is about what comes after the novelty — building a conversational analytics workflow that's reliable, verifiable, and reusable. Gabe Solberg will walk through the methodology he developed managing seven-figure monthly ad budgets, and we'll show how the same approach applies whether you're working with GA4 exports, product funnels, or revenue data.

Who This Is For:
If you spend more time pulling and formatting data than interpreting it, this session is for you. Role doesn't actually matter — the methodology works the same whether your data lives in GA4, BigQuery, a product database, or an ads platform.

What This Is NOT:
This is not a product demo. This is not a "look what AI can do" showcase. It's a methodology session where a practitioner shows his process on real data, and you decide if the approach transfers to yours.

You'll Love This If You're:

• An analyst who prepares regular reports for clients or stakeholders
• Digital analyst or data consultant tired of rebuilding the same report every week
• Head of analytics looking for workflows your team can actually systematize
• Performance marketer who lives in campaign data and wants faster answers
• Someone who's tried "just use AI" for reporting and found it fell short