Task IntentAnalytics
Calculate Customer Lifetime Value
Analyze customer lifetime value (CLV) by segment, acquisition channel, and product category to optimize marketing spend and retention.
What This Sidekick Query Does
Analyze customer lifetime value (CLV) by segment, acquisition channel, and product category to optimize marketing spend and retention.
Prompts
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Help me calculate and analyze Customer Lifetime Value (CLV) for my Shopify store: Basic CLV Calculation: Average order value × Purchase frequency × Customer lifespan Calculate for: all customers, top 20%, bottom 80% CLV by Segment: By acquisition source: Which channel brings the most valuable customers? (organic, paid, social, email, referral) By first product purchased: Do customers who buy [Product A] have higher CLV than [Product B] buyers? By geography: CLV by top 5 countries/regions By cohort: Monthly cohorts — are newer customers more or less valuable? By discount usage: Full-price buyers vs discount buyers CLV comparison Metrics to Calculate: Average CLV across all customers CLV:CAC ratio (if I share my ad spend) Repeat purchase rate and average time between orders Churn rate: % of customers who never return Revenue concentration: what % of revenue comes from top 10% of customers Actionable Insights: Which customer segments to invest more in acquiring Optimal marketing budget per new customer (based on CLV) When to trigger re-engagement campaigns (based on purchase gaps) Which products to promote to new customers for highest long-term value Present findings with clear numbers and specific recommendations.
Expected Output
Analyze customer lifetime value (CLV) by segment, acquisition channel, and product category to optimize marketing spend and retention.
Tips to Improve Results
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