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Description

  • Log Level MTA captures every marketing touchpoint on each individual user path to conversion.
  • Log Level MTA is the synthesis of several types of data:
    • User context on the conversion event as well as conversion timestamp.
    • User, device, and referrer context for each marketing event.
    • UTM parameter tracking and custom URL parameters for each marketing event
    • Marketing ad object context for each marketing event.
    • Attribution credit assigned to each marketing event per four attribution methodologies: (1) first touch (2) last touch (3) even weight (4) Rockerbox custom multi-touch attribution model.

Table Creation

  • One log level MTA table is created for a single conversion event tracked in Rockerbox.
  • The table is manually created in the Rockerbox UI.

Partition Keys

  • date
💡 Note: Leverage partition keys when querying the table to improve query efficiency.

Logical Primary Key

These fields uniquely identify a record. While data warehouses do not enforce primary key constraints, this combination functions as the logical primary key for the table.
  • conversion_key
  • sequence_number

Field Reference


Marketing Event Type Reference

The marketing_type column indicates the nature of each tracked touchpoint: