AI query examples

Ask questions in plain English. The AI Analyst writes SQL, runs it against your data step by step, and answers from the results - every query it ran is shown as SQL, nothing proprietary.

01Revenue

Revenue impact, attribution, and expansion analysis.

ai-explorer

"Why did revenue drop last week?"
"Which feature correlates with plan upgrades?"
"Show sessions where checkout errors cost us over $100"
"Which channels drove last quarter's highest-LTV customers?"

02Funnel & retention

Conversion funnels, retention curves, and drop-off analysis.

ai-explorer

"Show retention for users who hit the activation event"
"Where do mobile users drop out most in the signup funnel?"
"Compare D7 retention cohort-by-cohort for the last 6 months"

03Errors

Error tracking correlated with pages and user impact.

ai-explorer

"Top 5 errors on the checkout page this week"
"Which errors are new this week compared to last week?"

04Segments

Device, browser, and user-segment slicing.

ai-explorer

"Compare conversion between mobile and desktop"
"Show me sessions where users errored during checkout"

Every answer is inspectable. Each query the AI ran is shown with its SQL and a preview of the rows it returned, next to the answer.