template_ARCHITECTURE
Shopify Cohort Retention SQL Template
Track repeat purchase behavior by mapping subsequent orders back to a customer's precise acquisition month.
Start Free Trial
14-DAY TRIAL
NO CREDIT CARD
// STRATEGIC_DEPLOYMENT
Strategic Deployment
Real-world orchestration patterns deployed by our top enterprise partners.
Product-Market Fit & Churn Validation
Monitor if newer acquisition cohorts are retaining at higher percentages in later months, proving that your product value or onboarding is improving over time.
// CORE_ENGINE_SPECS
Core Capabilities
The technological foundation behind the unified engine. Designed to completely bypass manual RevOps bottlenecks.
Scroll to explore
// DOCUMENTATION
Expert Insights
Everything you need to know about implementing Arcli's engine into your stack.
Does this query account for 100% refunded return purchases?
No. This baseline counts any `paid` or `partially_refunded` order as a retention event. To exclude zero-revenue events, append `AND (total_price - COALESCE(total_refunds, 0)) > 0` to your order filters.
Why use math extraction instead of the AGE() function for month_delta?
PostgreSQL's `AGE()` function returns an interval. Depending on the exact days of the month (e.g., Jan 31st to Feb 28th), interval extraction can occasionally under-report the month integer. The Year * 12 + Month math formula is deterministic and bulletproof.
// RELATED_MODULES
Explore Deep Dives
Discover specific architectural setups and orchestration patterns.