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Marketing Mix Modeling
Find Your Next Channel of Profitable Growth
Our robust MMM methodology gives you a complete, business-level view, enabling you to confidently allocate your budget for maximum return on investment.
Trusted by CMOs at companies with over $10m in marketing spend
Is Your Current Measurement Failing You?
Misjudging Channel Impact Last-click attribution significantly undervalues upper-funnel and brand-building campaigns giving you a skewed perception of what’s working.
Outdated Attribution Models Cookie loss and privacy rules have made traditional models unreliable — leaving you blind to the full customer journey.
Ignoring External Factors Your current measurement likely can't account for crucial external factors like seasonality, promotions, or market shifts, leading to incomplete insights.
Hard to Act, Harder to ScaleMost companies struggle to operationalize the MMM. Without the right advisory support, insights stay stuck in slides.
Marketing Mix Modeling — Engineered for Growth Discovery
Enable Strategic, Big-Picture Decisions
Move from short-term, tactical optimizations to strategic, big-picture planning. Understand your entire marketing mix performance to make smarter investment choices.
From Model to Motion
MMM is only valuable when it drives action.
Our senior advisory team helps translate insights into concrete budget shifts and testing plans.
Uncover the True Value of Every Channel
Identify hidden value in all your channels, even those that don't get direct conversions, by capturing their full impact across the customer journey.
A Complete, Privacy-Safe View
Measure performance across all channels without relying on cookies or clicks and future proof your measurement.
Built for Actionable Insights
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Marginal CAC as Your Decision Tool We use Marginal CAC to tell you the exact cost to acquire one more customer on any channel. If marginal CAC is lower than your MMM CAC, it’s a clear signal to scale. If it's higher, it's time to optimize.
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A Continuous Learning Loop MMM is not a "set it and forget it" solution. Our models create a continuous feedback loop: insights lead to new experiments, and the results of those experiments are used to refine the model for sharper insights over time.
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Robust Statistical BackboneOur MMM is powered by a core of robust statistical methods, including Ridge Regression to prevent any one channel from getting too much credit, Adstock Effects to model the lingering impact of marketing, and NRMSE Optimization to ensure the model accurately predicts real-world results.
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