November 13th 12:00 PM – October 1st 12:00 PM
Workshop
Description:
Learn about objective setting, discover how to design a multi-platform campaign measurement program, gain knowledge of theories of advertising effectiveness, and earn the confidence to write an effectiveness paper to showcase your success.
- Learn how to prove the value of your contribution to your client’s business.
- Improve your client relationships by speaking their language.
- Discover the best practice approach to designing a measurement program to evaluate multi-platform activity.
- Confidently and correctly analyze the impact and effect of any campaign.
- Gain the confidence to write a brilliant effective paper.
Format:
online learning accessible through the IPA website on any device
Duration:
- Thirty-five hours of online learning
- Allow for two to three months of study prior to sitting the exam
- Formal two-hour online exam. Three hours in non-English speaking countries.
Related Courses
06/15/2026 - 09/01/2026
Vibe Coding for Marketers
The next cohort launches on June 15 from 1:00 to 4:00 PM ET. Click here to register. In the fast-paced world of advertising, waiting 12 weeks for a technical team to build a simple internal tool is a competitive disadvantage. Whether it’s a custom brief generator or a dynamic CX mapper, the ability to ship…
Developing and Launching AI Agents: A Hands-On Course for Advertising and Marketing Agencies
Format: 2-hour deep diveIdeal for: Any team that wants to operationalize AI Agents inside their day-to-day work. The next cohort is TBD. Click here if you would like to reserve a seat. Developing and Launching AI Agents is an advanced, hands-on, 2-hour workshop designed to help your team build and deploy their first AI Agents…
Filling the Gaps: How Synthetic Data is Reshaping the Marketing Landscape
Join Arima and the Plus Company as we go beyond the recent 4As white paper release on synthetic data (add link) and discuss how to create privacy-compliant synthetic populations by combining person-level attributes from census data, market research, mobility patterns, and purchase behavior. The result: synthetic datasets that statistically mirror real society at the individual level, ready to power various marketing use cases.
