Understanding Customer Lifetime Value is essential for any growth-focused analytics strategy. Yet most GA4-based reporting limits you to revenue per session or per event, which obscures the long-term contribution of each customer.
Why CLV requires more robust logic:
• GA4 does not aggregate revenue at the user level
• Dashboards emphasize short-term interactions rather than customer history
• Without cumulative calculations, long-term value is underestimated
SQL window functions fill this gap by allowing you to:
• Accumulate revenue per user across all historical events
• Track customer value by cohort, acquisition period, or channel
• Observe how lifetime value evolves over time
The result is clarity: you know exactly how much a customer is worth, and you can set acquisition budgets based on evidence - not assumptions.
Want all my best GA4-BQ queries in one place? I turned them into a Chrome extension — top SQL queries you can search and copy in seconds.
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Prefer the web version? It's here.
