This article provides general overview about classifying traits with a common taxonomy.
The Audience Manager taxonomy is an optional feature that classifies traits using uniform, logical, and commonly understood naming conventions. It operates at the platform level to help ensure naming consistency throughout the Audience Manager ecosystem. Ultimately, the common taxonomy is designed to bring our product into greater alignment with industry standards regarding consumer privacy and opt-out processes.
Enabling our customers to build custom segments and data models is core to the Audience Manager model and to your ability to capture value from our platform. What is also required, however, is a robust and scalable means to communicate information about segments to your customers and partners. Furthermore, this communication requires that segment information is shared in an easy-to-understand and universally understood language while protecting your proprietary trait and segment names. The Audience Manager common taxonomy provides this language and capability.
The common taxonomy is based on the classifications created by the Interactive Advertising Bureau (IAB). Refer to the IAB’s website for more information about quality assurance guidelines for networks and exchanges.
The Audience Manager taxonomy organizes data into nested categories called tiers. Each category can contain up to 3 separate tiers for data classification. At the highest level, a Tier 1 category groups data into its most general form (e.g., geography). Subsequent tiers provide greater specificity to the higher level, general category (e.g., geography --> United States --> New York). However, not every category has 3 tiers, some use just 2.
You assign taxonomic classifications when creating or editing traits in the Add New Trait Wizard (located in * Audience Data > Traits*). Refer to the documentation on creating traits for more information.
If you decide to classify traits according to our common taxonomy, it’s important to remember: