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How do I segment customers in Shopify based on purchase behavior?

SB
Written by StageBit Engineering Team
Updated February 2026 0 min readVerified by engineers

You can segment customers in Shopify based on purchase behavior using customer segments. These are dynamic, rule-based groups that automatically update when customers meet or no longer meet your defined criteria, making them ideal for targeted marketing and retention strategies.

How to Create Purchase Behavior Segments in Shopify

  1. From your Shopify admin, navigate to Customers.
  2. Open the Segments section and use the query editor.
  3. Build your segment by combining filters, operators, and values based on customer behavior.
  4. Click Run query to preview which customers match the segment.
  5. Review the AI-generated segment description and click Save segment.

Common Purchase Behavior Filters You Can Use

  • Amount spent – Total customer spending (for example, amount_spent > 100)
  • Number of orders – How many orders a customer has placed (for example, number_of_orders >= 5)
  • Average order value – Typical order size per customer
  • Orders per customer – Purchase frequency over time
  • Customer first order date – When the customer first purchased from your store
  • Customer last order date – Most recent purchase date
  • Days since last order – Helps identify inactive or at-risk customers
  • New or returning customer – Segment based on purchase history
  • RFM group – Segments based on Recency, Frequency, and Monetary value
  • Predicted spend tier – AI-based prediction of future customer spending

Example Purchase Behavior Segments

  • High-value customers:amount_spent > 500
  • Frequent buyers:number_of_orders >= 10
  • At-risk customers:days_since_last_order > 90
  • VIP repeat customers:
    (amount_spent > 100 OR number_of_orders >= 5) AND email_subscription_status = 'SUBSCRIBED'

Why Purchase Behavior Segmentation Matters

Shopify customer segments are dynamic, meaning customers are automatically added or removed as their behavior changes. This makes them highly effective for personalized email campaigns, loyalty programs, win-back offers, and long-term customer retention strategies.

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