Computed attributes overview

Computed attributes let you create dynamic, calculated data points from your event data. By applying functions, filters, and time-based windows, you can define attributes like total revenue, average order value, or first purchase date — all of which help enhance customer profiles with actionable insights.

Once created, computed attributes are automatically updated daily to reflect the most recent customer activity. These values can then be used across segmentation, personalization, and analysis workflows.

Key benefits

• Enrich customer profiles: Add attributes that summarize behavioral patterns or transactional data.
• Improve segmentation: Use metrics like "number of purchases in the last 30 days" or "average deposit amount" to define more precise audiences.
• Personalize campaigns: Leverage recent customer activity to drive tailored content and recommendations.
• Automate data freshness: Each computed attribute is refreshed daily to keep your data relevant.

Examples of computed attributes

• Total revenue earned by a customer
• Number of purchases where order value > ₹1,000
• Date of the first application submitted
• Average deposit amount in the last 6 months

Once launched, these attributes are accessible within the Customer Schema and available across segmentation and campaign workflows.