--- title: "Web Segments: Purchasing Behavior" slug: "web-segments-purchasing-behavior" description: "The Purchasing Behavior segment targets users by 12 sub-segments covering average order value, total spend, purchase count, and last purchase data." tags: ["purchasing behavior", "web segments"] updated: 2026-07-31T06:59:04Z published: 2026-07-31T06:59:04Z canonical: "academy.insiderone.com/web-segments-purchasing-behavior" --- > ## Documentation Index > Fetch the complete documentation index at: https://academy.insiderone.com/llms.txt > Use this file to discover all available pages before exploring further. # Web Segments: Purchasing Behavior The Purchasing Behavior segment targets users based on their historical purchase patterns, including frequency, spend amount, and order value, using data tracked over time. ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/image-64F3BVWB.png) ## Segmentation options You can filter users into 12 predefined sub-segments for advanced targeting: - **Average Order Value (all-time)**: This is based on a customer's lifetime average spend measured in the [currency set](https://academy.insiderone.com/docs/inone-account-settings#campaign-settings) in the InOne panel (e.g., *Average Order Value (all-time) - is greater than - 1000*). - **Average Order Value (last x day(s))**: This is based on the average order value of a customer within the given previous x days (e.g., *Average Order Value (last x day(s) - is greater than - 30 - 1000*). - **Average Order Value (during a time period)**: This is based on the average order value of a customer within the given time period (e.g., *Average Order Value (during a time period) - is greater than - 01.01.2024-01.01.2025 - 100*). - **Total Spend (all-time)**: This is based on a customer's lifetime total spend measured in the currency set in the panel (e.g., *Total Spend (all-time) - is greater than - 1000*). - **Total Spend (last x day(s))**: This is based on the total spend of a customer within the given previous x days (e.g., *Total Spend(last x day(s) - is greater than - 30- 1000*). - **Total Spend (during a time period)**: This is based on a customer's total spend within the given time period (e.g., *Total Spend (during a time period) is greater than - 01.01.2024-01.01.2025 - 100*). - **Purchase Count (all-time)**: This is based on a customer's lifetime purchase count (e.g., *Purchase Count(all-time) - is greater than - 1000*). - **Purchase Count (last x day(s))**: This is based on a customer's total purchase count within the given last x days (e.g., *Purchase Count (last x day(s) - is equal to - 30 - 0*). - **Purchase Count(during a time period)**: This is based on the total purchase count of a customer within the given time period (e.g., *Purchase Count (during a time period) - is equal to - 01.01.2024-01.01.2025 -0*). - **Last Purchase Date (last x day(s))**: This is based on the previous purchase date of a customer within a given last x days (e.g., *Last Purchase Date (last x day(s)) - not in - 30*). - **Last Purchase Date (during a time period)**: This is based on the last purchase date of a customer within a given time period (e.g., *Last Purchase Date (during a time period) - in - 01.01.2024-01.01.2025*). - **Last Purchase Amount**: This is based on the customer's previous purchase amount measured in the [currency set](https://academy.insiderone.com/docs/inone-account-settings#campaign-settings) in the InOne panel (e.g., *Last Purchase Amount - is between - 100 and 1000*). ## Use Cases #### Re-engagement Campaigns Target users who have made no purchases in the last 30 days using a Side Coupon Menu to drive return visits. #### Cross-Selling & Upselling Show complementary products to purchasers using [Smart Recommender](/v1/docs/smart-recommender-overview) campaigns. #### Recently Viewed Product Follow-Up Target by total spend and purchase date to show Recently Viewed Items and drive engagement. #### Loyalty Program Progress Target users based on purchase count to encourage them to achieve premium status through Hello Bar campaigns. #### Average Order Value Optimization Target users with low AOV using Progress Bar or Cart Reminder campaigns to increase order size.