MediaSense is out with a new study on agency
compensation that finds that most agency leaders polled in a survey (85%) believe that outcomes-based remuneration will increase in the near term and is the preferred form of compensation in the long
term.
But there are stumbling blocks to shifting to an OBR model (full-time equivalent models still predominate) not the least of which is defining
exactly what OBR is. Other sticking points include attribution, data access, procurement, and trust, according to the study.
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Most of those polled in the MediaSense survey said they associate
OBR with strong client-agency relationships. And around three-quarters also believe that AI will accelerate the shift to OBR.
The report notes a “definition gap” for OBR. “There is no
consistent industry definition of OBR. In practice, most deployments of the concept are hybrid models with a performance component as opposed to pure outcome models. Terminology often involves
overlaps with performance bonuses, output-based models, and traditional hybrid structures, highlighting the importance of aligning on a shared definition before discussing
implementation.”
While few agencies have embraced pure OBR models today, “the industry appears ready for a shift,” the report states. “The rapid
rise of AI and automation is threatening to significantly reduce the hours required to plan, set up, and optimize media campaigns, creating an existential challenge to the traditional labor-based FTE
model.”
The report also offers a case study (creative and media agency TubeScience) and takes a deeper look at some of the barriers to OBR.
The release
of the study is timed to the Cannes ad festival where a panel session is set to discuss the report on Tuesday. Hosted by Meta, participants include Meta’s Crystal Worthem and Nick Baughan,
L’Oreal’s Gayle Noah, Philip Buerger, Co-founder/President, TubeScience, agency consultant and author Michael Farmer and Ryan Kangisser, Chief Strategy Officer at Mediasense.