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Training - Online

$299 - IAB Members
$399 - Non-Members
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Data 360 is an intermediate-level course designed to teach the technologies and best practices for leveraging consumer data. The course explains how data supports audience targeting, campaign measurement, advertiser insights, and publisher monetization. The curriculum provides a comprehensive look at the systems used to collect, process, activate, and manage data.

Data 360 outlines the full data lifecycle, covering key platforms such as CRM systems, Ad Servers, DMPs, and CDPs. The material distinguishes among data types including PII, non-PII, declared, inferred, observed, and modeled data. It also explores data ownership models, identity resolution, data onboarding, and matching mechanisms. The course reviews the evolution of data-driven media buying enabled by Ad Exchanges and RTB. Additionally, the curriculum addresses data governance, security practices like hashing and encryption, and compliance requirements across AdChoices, GDPR, CCPA, and COPPA.

Discussion Topics

This course has six core modules:

  1. Data in Online Advertising: Why data matters, automation in digital advertising, and current investment and innovation trends.
  2. Introducing the Data Lifecycle: Dimensions of audience data, types of data platforms, and the stages of the data lifecycle.
  3. Data Collection: Building a data strategy, introduction to collection methods, and choosing the right data partners.
  4. Data Processing: Data segmentation, ID mechanisms, onboarding, matching, and data validation.
  5. Data Activation: Data activation integrations, contracts, and costs.
  6. Data Control: Introduction to data control, data security practices, and regulation.

FAQ

Identify Common Use Cases for Consumer Data

You’ll be able to recognize how consumer data is applied for audience targeting, campaign measurement, and advertiser insights throughout the digital advertising ecosystem.

Evaluate Data Collection Techniques and Sources

You’ll be able to assess different data collection methods, potential data sources, and strategic partnerships needed to build a robust data strategy.

Describe Methods of Processing Audience Data

You’ll be able to explain how audience data is processed for management, including segmentation, ID mechanisms, onboarding, and matching.

Understand Best Practices for Data Activation

You’ll understand best practices for data activation, specifically regarding audience targeting and integration across various platforms.

Understand the Evolution of Policies and Regulation

You’ll be able to navigate the evolution of policies and regulations related to consumer data, including data security, privacy requirements, and regulatory compliance.

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