
Article · Marketing Data
Understanding Marketing KPIs – An Extensive Compilation
Measure what matters: Learn the top marketing KPIs to track and how to turn data into actionable insights that drive business…
January 08, 2025
Read moreData Science Agent · MIX-IQ (MMM Agent)
MIX-IQ is a Marketing Mix Modeling (MMM) AI agent designed to help agencies and enterprises uncover what truly drives their marketing performance. Built as a data science–powered agent, MIX-IQ continuously analyzes spend, channels, and returns to deliver actionable recommendations — helping decision-makers allocate budgets smarter and maximize ROI.

In complex marketing ecosystems, understanding the impact of each channel is a challenge. MIX-IQ simplifies this by automating the heavy lifting of MMM — combining statistical rigor with AI adaptability. It doesn’t just describe what happened; it predicts what will happen if you shift budgets, test new channels, or adjust campaign intensity. From scenario simulations to real-time performance updates, MIX-IQ empowers marketing teams with the foresight to act confidently.
Capabilities
Advanced machine learning models that identify optimal channel investments.
Test “what-if” strategies across channels, budgets, and timelines.
Ingests media, spend, and performance data from multiple sources.
Real-time optimization insights for planners and strategists.
Visualizes ROI forecasts and marginal contribution trends interactively.
Built For
Deliver data-backed media recommendations to clients with confidence.
Align marketing investment with measurable business outcomes.
Eliminate manual modeling cycles with automated AI-driven analysis.
Insights & Resources

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Read moreCommon Questions
MIX.IQ is Decision Foundry's AI-powered media mix modeling (MMM) platform — designed to deliver continuous, dynamic MMM rather than the traditional once-a-year consultant-driven exercise. It combines AI-driven MMM modeling, scenario simulation, automated data processing, dynamic recommendations, and dashboard integration into a self-serve platform for agencies and in-house marketing teams.
Traditional MMM is a quarterly or annual project — econometricians spend 3–6 months on a model, deliver a report, and the model decays from day one. MIX.IQ runs continuously — models retrain as new data arrives, scenario simulations are self-serve, and recommendations update dynamically. Same statistical rigour, but as a living platform rather than a moment-in-time deliverable.
Six capabilities. (1) AI-driven MMM modeling — Bayesian and ML-based attribution. (2) Scenario simulation engine — "what if we shifted 20% of CTV budget to YouTube?" (3) Automated data processing — connect your media data once, the platform handles refresh. (4) Dynamic recommendations on budget allocation. (5) Dashboard integration with Tableau / MCI / Power BI. (6) Purpose-built for both agencies and in-house teams.
Connects to common media platforms (Google, Meta, TikTok, DV360, The Trade Desk, Amazon, Walmart Connect, etc.) plus your CRM / commerce / first-party data sources. Outputs flow into dashboards via Tableau / MCI / Power BI connectors. We also integrate with attribution platforms (multi-touch + MMM unified measurement) for cross-validation.
A focused MIX.IQ deployment (one brand or one agency client, 12–18 months of historical data, 5–10 channels) typically takes 6–8 weeks to baseline model live. Enterprise rollouts (multi-brand, multi-region, full agency portfolio) run 3–5 months. Pricing is annual SaaS scaled to brand count and data complexity.
MIX.IQ is built by Decision Foundry — the partner that runs marketing analytics for some of the largest media holding companies and brand advertisers in the world. Built-in integration with MCI / Datorama (which most other MMM platforms lack), agency-ready architecture (multi-tenant by design), and consulting backstop from MMM-econometric specialists.
MIX-IQ (MMM Agent) transforms complex marketing mix analysis into a living, learning intelligence layer — one that predicts, advises, and optimizes in real time. It’s how modern data science meets actionable marketing intelligence.