Case Study: a major media and entertainment company improves ad campaign planning with Marlabs AI-driven optimization

A Marlabs Case Study

Preview of the Confidential Client Case Study

a major media and entertainment company saves over $250,000 a year with Marlabs

The confidential client, a major North American media and entertainment company, faced significant challenges with its legacy ad campaign planning platform. The system, which relied on a costly commercial solver, produced plans with nearly zero acceptance rates and required extensive manual input. Partnering with Marlabs for its AI and data services, the client sought to modernize this tool to improve KPI alignment and eliminate operational inefficiencies.

Marlabs implemented a machine learning–driven optimization system built on historical campaign data. This solution replaced the legacy solver with an open-source, multi-objective optimization engine that used predictive analytics to automate planning and target key business outcomes. The results for the client were substantial, including the elimination of over $250,000 in annual licensing fees, improved campaign accuracy, and the generation of millions of dollars in additional annual revenue potential.


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