Decision simulators for the channel mix

Assess what drives reach and the role of linear TV amid fragmented attention and audience migration. How can linear TV increase its reach? What is its role in the ecosystem (Globoplay, channels, ads)? Which levers deliver better results, and what is the financial potential of optimizing the reach maximization strategy?

An end-to-end data solution: from understanding the context and collecting data that reflects the investment landscape to defining strategic KPIs grounded in concrete data and mapping external data (competitors, economy, temperature, regions). The result is a simulator that turns media allocation into a quantified decision.