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Model funnel steps in SQL with deterministic stage logic so conversion drops are auditable and actionable.
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Generate production-ready SQL queries from plain-language analytics tasks.
Funnel reports often break when teams define steps differently across dashboards. One chart uses session scope, another uses user scope, and suddenly conversion rates are impossible to compare.
Use SQL Query AI to generate a unified funnel query with explicit step conditions.
Represent each funnel stage as a deterministic boolean condition. Then aggregate at one agreed entity level (usually user_id or session_id). This prevents double-counting and hidden denominator drift.
Build one clean funnel query in SQL Query AI, compare stage counts with your dashboard, and fix scope mismatches first.
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