template_ARCHITECTURE
Shopify RFM Segmentation SQL Template
Automatically classify your E-commerce customers into powerful marketing tiers using Recency, Frequency, and Monetary percentiles.
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Strategic Deployment
Real-world orchestration patterns deployed by our top enterprise partners.
Automated Retention Workflows (Lifecycle Marketing)
Sync the "At Risk High-Value" segment (low recency, high frequency/monetary) directly to Klaviyo for immediate VIP win-back email campaigns.
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Core Capabilities
The technological foundation behind the unified engine. Designed to completely bypass manual RevOps bottlenecks.
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Expert Insights
Everything you need to know about implementing Arcli's engine into your stack.
What happens if there is a massive tie in order frequency?
The `NTILE(5)` function forces an equal distribution. If 80% of your users have exactly 1 purchase, `NTILE` arbitrarily splits them across buckets 1 through 4. For highly skewed early-stage stores, consider swapping `NTILE()` for hardcoded `CASE` thresholds based on absolute values.
Should I score Recency ascending or descending?
In standard RFM, a higher score is better. Therefore, Recency must be sorted `ASC` so that the most recent dates (which are statistically "larger" timestamps) fall into bucket 5, indicating high recency.
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