What is a Mapping ?
A Mapping is a powerful feature that allows you to consolidate multiple values from the same dimension into a single, unified dimension. This helps streamline your data analysis, providing cleaner, more actionable insights.
Example: The "Publicis" Mapping enables you to group all the buyer seats used by Publicis across different SSPs, giving you a consolidated view of their investments in one place.
Once a mapping is created, it is applied automatically to both historical and future data. This dynamic feature requires no manual updates, ensuring that your data is always up-to-date without additional effort.
Why Use Mappings?
The mapping feature is essential for maintaining granular control over your revenue data. By creating custom Mappings, you can:
Track and analyse revenue from advertisers, agencies, websites, stations, or ad positions with more precision.
Simplify revenue reporting by consolidating data points into meaningful categories.
Ensure consistency in naming conventions across your teams and data workflows.
Two Key Levels of the Mapping Feature
Mapping Types (Parent): These serve as the overarching categories for your Mappings. Each Mapping Type represents a specific dimension, such as advertisers, agencies, websites, or stations, allowing you to organize your data based on different business objectives.
Mapping Rules (Child): These are the individual, customizable virtual dimensions that fall under a specific Mapping Type. Each Mapping Type can have multiple Mapping Rules, allowing you to define how different values within that dimension are grouped. For example, under a Mapping Type like "Advertisers," you can create Mapping Rules to track specific advertisers or groups of advertisers.
Together, a Mapping Type and its associated Mapping Rules give you full control over how your data is aggregated and displayed, ensuring it aligns with your specific needs.
📚 Get more related informations :
Learn more about Create Mappings
Learn more about Find your Mappings
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