What Is
Marketing
What Is
Marketing
Mix Modeling?
Mix Modeling?
Marketing Mix Modeling (MMM) is a statistical technique that helps marketers understand the true impact of their media spend across all channels. It answers the question: What’s really driving ROI?
NoiseGrasp brings MMM into the modern era with AI-powered automation, fast deployment, and privacy-safe data handling. Unlike traditional models that take months and perfect data to build, our approach is faster, more flexible, and built to work with your actual marketing reality.
NoiseGrasp brings MMM into the modern era with AI-powered automation, fast deployment, and privacy-safe data handling. Unlike traditional models that take months and perfect data to build, our approach is faster, more flexible, and built to work with your actual marketing reality.
How NoiseGrasp Builds Smarter Marketing Models
NoiseGrasp takes the complexity out of marketing measurement by combining AI, custom econometric models, and advanced computational tools into one platform. Our system identifies the real drivers of incremental ROI across all marketing channels, helping you shift budgets, justify spend, and plan smarter.
For Agencies
Strengthen
Your
Strategic Edge
Strategic Edge
Strengthen
Your
Strategic Edge
Strategic Edge
Whether you’re building trust with clients or scaling your analytics offering, NoiseGrasp helps you deliver fast, credible, and client-ready attribution insights. The platform supports multiple brands, delivers white-labeled reporting, and adapts to fragmented or messy client datasets — giving you faster time-to-value and strategic confidence.
For Advertisers
Make Every Dollar
Work Harder
Make Every Dollar
Work Harder
With NoiseGrasp, you get clear answers about what’s driving performance. Our platform helps marketing teams prove ROI, eliminate wasted spend, and forecast future impact based on real-world behavior. You’ll make faster decisions, defend your budget, and scale what works.
Smarter Models Through
Data And Machine Learning
Smarter Models Through
Data And Machine Learning
AI That Learns From Your Marketing Reality
NoiseGrasp AI isn’t off-the-shelf. It’s custom-built to model real-world media mix effects and adapt to your evolving campaigns.
Our models learn from your actual inputs — spend, conversions, channels, seasonality — and produce decision-ready insights without weeks of manual calibration. That means faster setup, smarter results, and more actionable recommendations from day one.
Our models learn from your actual inputs — spend, conversions, channels, seasonality — and produce decision-ready insights without weeks of manual calibration. That means faster setup, smarter results, and more actionable recommendations from day one.
AI That Learns From Your Marketing Reality
Under the hood, NoiseGrasp runs on a robust computational backbone that combines the best of modern data science infrastructure. Our modeling environment is containerized with Docker, deployed on Google Cloud GPUs for high-speed performance, and designed for scalability across brands and datasets.
Model development and experimentation are powered by Jupyter Notebooks and PyTorch, giving our team the flexibility to prototype and productionize cutting-edge attribution and MMM algorithms quickly. The result? Fast model refreshes, real-time scenario testing, and performance that scales — without requiring a full-time data science team on your side.
Model development and experimentation are powered by Jupyter Notebooks and PyTorch, giving our team the flexibility to prototype and productionize cutting-edge attribution and MMM algorithms quickly. The result? Fast model refreshes, real-time scenario testing, and performance that scales — without requiring a full-time data science team on your side.
AI That Learns From Your Marketing Reality
NoiseGrasp’s modeling engine is built on advanced econometric foundations, but what makes it different is how it’s engineered for real-world marketing. At its core, the platform uses a Bayesian algorithm structure to model uncertainty and quantify confidence in predictions, giving you not just results, but trust in those results.
We apply a Transport Gaussian Process for smooth, data-efficient learning across campaigns and timeframes, and we leverage Scale-Free Parameterization to ensure model adaptability across brands, geographies, and channel mixes. Every model is shaped by our proprietary algorithm, specifically tuned for marketing mix modeling and media incrementality.
We apply a Transport Gaussian Process for smooth, data-efficient learning across campaigns and timeframes, and we leverage Scale-Free Parameterization to ensure model adaptability across brands, geographies, and channel mixes. Every model is shaped by our proprietary algorithm, specifically tuned for marketing mix modeling and media incrementality.
Built For A Cookieless, Data-Challenged World
NoiseGrasp was designed with privacy in mind — no tracking, no pixels, no hacks. Our models don’t rely on cookies or user-level data, so you stay compliant with today’s privacy standards (and tomorrow’s too).
Even more importantly, we work where other tools fail. Whether your data is noisy, incomplete, or lives across multiple spreadsheets, NoiseGrasp can still model true incrementality and performance. We meet you where you are and help you move forward.
Even more importantly, we work where other tools fail. Whether your data is noisy, incomplete, or lives across multiple spreadsheets, NoiseGrasp can still model true incrementality and performance. We meet you where you are and help you move forward.
Get In Touch
Speak With Our Team
Not sure where to start? Let’s talk.
Our team will walk you through how NoiseGrasp can solve your specific marketing challenges.
+1 (310) 302 - 7198
Email Address
Reach out to our team for any questions, product details, or support—we’ll respond promptly.