Drew AI can analyze your customer base using RFM (Recency, Frequency, Monetary) segmentation — a proven framework that groups customers based on how recently they bought, how often they buy, and how much they spend. This is one of the most powerful features for understanding your customer health.
How RFM segmentation works
Datadrew automatically computes RFM scores for every customer in your Shopify store. Each customer is assigned to one of nine segments:
Champions: Your best customers who buy often and spend the most. Reward them and turn them into brand ambassadors.
Loyal: High frequency and spend with regular engagement. Great candidates for upselling and product reviews.
Promising: Recent purchasers with moderate engagement. Nurture them with loyalty programs and personalized recommendations.
New Customers: Bought recently but only once. Focus on welcome series and education about your brand.
Warm Leads: Single recent purchase. Nurture them toward a second purchase with targeted incentives.
Cold Leads: Single purchase some time ago. Time for a re-engagement campaign.
Need Attention: Previously above-average customers who have gone quiet. Win them back with limited-time offers.
Should Not Lose: High-value customers who have not purchased in a while. Prioritize personal outreach and win-back campaigns.
Sleepers: Below-average activity but they do have purchase history. Try reactivation campaigns to bring them back.
Lost: Lowest recency and engagement. Consider aggressive win-back campaigns or accept natural churn.
What you can ask Drew AI
Example questions:
"Show me our customer segments — who are our champions vs. at-risk?"
"Who are our high-value customers at risk of churning?"
"What percentage of revenue comes from each customer segment?"
"How many customers are in the Champions segment vs. last year?"
"Which customers in the Should Not Lose segment have spent the most?"
All-time vs. last-year analysis
Drew AI can analyze RFM segments using two different time windows:
All Time: Uses the customer's entire purchase history since they first ordered.
Last 1 Year: Only considers purchases from the past 12 months, which is useful for spotting recent changes in customer behavior.
Actionable insights
Drew AI does not just show you the segments — it provides actionable recommendations. For example, it might suggest targeting your "Need Attention" segment with a re-engagement email campaign, or tagging your Champions in Klaviyo for a VIP promotion.
If you have Klaviyo connected, Drew AI can also help you understand how your email marketing aligns with your customer segments.
Need help? Reach out to support@datadrew.io or use the in-app chat.
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Need help?
If you have questions or run into issues, reach out to us at support@datadrew.io or use the in-app chat. We're happy to help.