Data-Driven Personalization

Create personalized experiences using historical and real-time customer data.

“mParticle brings our data into one place, so we can understand where users could benefit from an improved experience.”

Algorithms & Engineering Team Leader

Features

Support better data analysis and segmentation.

    Rules and Transformations
  • Transform data at any stage of your customer data pipeline.

personalized-experiences

Calculated Attributes

Precise user and event attribute calculations

Record event frequency

Calculate the total number of times an event has occurred.

User behavior lists

Calculate unique list of values, unique count of values, and most frequent values seen for an event attribute.

Capture first occurrence

Calculate the first or last time an event has been seen, or the first/last value for an event attribute.

User profile enrichment

Enrich user profiles with computed fields that provide granular insights into consumer behavior.

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