We turn data into strategic decisions using Marketing Mix Modeling (MMM), artificial intelligence, and Robyn (Meta’s open-source tool). Our approach enables companies to optimize their advertising budgets with scientific precision, eliminating waste and maximizing ROI. Today we offer an analytics and optimization service, but soon NeuroRadar will evolve into an automated SaaS platform, enabling companies to make real-time marketing decisions without manual intervention.
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Maker
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I started NeuroRadar after watching marketing teams in Latin America make budget decisions based on gut feel or worse, last year's spreadsheet.
The problem isn't that they don't care about data. It's that Marketing Mix Modeling has always been a $50K+ consulting project, locked behind 6-month timelines and opaque methodologies. By the time results came back, the media plan was already done.
We built NeuroRadar on top of Meta's open-source Robyn framework to change that. Companies can now run MMM continuously understanding which channels are actually driving sales, how budgets should shift, and where they're hitting saturation, without hiring a consultancy every time.
Our first client is a major Chilean retailer. We're now expanding across Latin America, starting with companies running $100K+ in annual media spend across TV, OOH, radio, and digital.
If you're in media planning, marketing analytics, or BI, or you're just tired of defending your media budget without real proof, I'd love your feedback
english and spanish spoken