Create continuously updating user and event attribute calculations for deeper insight into your customers’ behavior that you can use to enrich audiences, drive increased personalization, enhance analytics, and improve speed to market.
Calculate the total number of times an event has occurred, like the number of logins in the last 30 days.
Calculate sum, minimum, maximum, average, or median for an event attribute, like lifetime purchase value.
Calculate the first or last time an event has been seen, or the first/last value for an event attribute.
Capture first occurrenceNew
Calculate unique lists of values, unique counts of values, and most frequent values seen for an event attribute.
User behavior listsNew
Limit calculations to relevant business windows such as “Last X Days” or “Weeks,” or go as far back as your configured retention period.
Enrich user profiles with computed fields that provide granular insight into customer behavior.
User profile enrichmentNew
How calculated attributes helps
Give customer data context and meaning
Simplify your analytics pipeline
Generate insights from your customer data in mParticle for high-value consumer engagement analytics, so you don’t have to orchestrate a data analytics pipeline with a third-party BI tool every time.
Improve personalized marketing
Build audiences for marketing campaigns with Calculated Attributes to improve marketing campaign efficiency.
Give each user a unique experience
Use mParticle’s Profile API to deliver customer insights including Calculated Attributes directly to your app for real-time personalization.