Know Where Every Dollar Works
Marketing Mix Modeling
Privacy changes killed cookie-based attribution. MMM uses statistical modeling to measure true channel impact - no cookies, no pixels, no guesswork.
Cookies are dead. Your attribution model should be too.
Last-Click Lies
Last-click attribution credits the wrong channels. It rewards the final touchpoint and ignores everything that built awareness and consideration - leading you to defund the channels that actually started the sale.
Cookie Deprecation
Third-party cookies are dying and pixel tracking is increasingly unreliable. Safari and Firefox already block cross-site tracking. Chrome is next. Your attribution model is losing signal every quarter.
Budget Misallocation
Pouring money into channels that look good but don't cause conversions. Without causal measurement, you're optimizing for correlation - and correlation is a liar with a good-looking dashboard.
From black-box spending to surgical precision
Data Ingestion
Aggregate spend, revenue, and external variables - seasonality, promotions, competitors - across all channels into a unified dataset. No cookies or user-level tracking required.
Statistical Modeling
Bayesian regression models that isolate each channel's true causal contribution to revenue - separating signal from noise, controlling for confounders, and quantifying uncertainty.
Incrementality Validation
Geo-lift and holdout experiments to validate model predictions against real-world outcomes. We don't just model - we prove the model works before you act on it.
Budget Optimization
Prescriptive allocation recommendations that maximize total ROI given your budget constraints. Know exactly how much to shift, where to shift it, and what return to expect.
Every dollar, every channel, every interaction
Paid Search
Google Ads, Bing Ads - search, shopping, and PMAX campaigns. We model the true incremental contribution of branded vs. non-branded search to revenue.
Paid Social
Meta, LinkedIn, TikTok - each platform's self-reported ROAS is inflated. MMM reveals the actual lift each social channel drives independent of their own tracking.
Programmatic Display
DSPs, retargeting, and programmatic video. We calibrate view-through vs. click-through contribution and separate true lift from audience overlap with other channels.
Email & CRM
Owned channels are not free - they have opportunity costs. We model the incremental revenue from email flows, lifecycle campaigns, and CRM-driven reactivation.
Organic & SEO
Organic search, content marketing, and social organic reach. MMM isolates the baseline organic demand from paid-driven halo effects to show true organic contribution.
Offline & Events
Trade shows, direct mail, OOH, TV, radio, and sponsorships. MMM handles what digital attribution cannot - measuring offline media's impact on online and offline sales.
Happy Clients
See where your budget actually works
Book a channel analysis call. We'll review your current spend allocation and show you where MMM can unlock hidden ROI.
- Current spend allocation review
- Channel contribution gap analysis
- MMM feasibility assessment
Common questions about marketing mix modeling
MTA tracks individual user journeys using cookies and pixels - which breaks with privacy changes. MMM uses aggregate statistical modeling to measure channel impact without tracking individuals. It's privacy-compliant, works across online and offline channels, and measures true causal impact rather than correlation.
Ideally 2-3 years of weekly spend and revenue data across channels. We can work with as little as 12 months, but longer time series produce more reliable models - especially for capturing seasonality effects.
Absolutely. We recommend using MMM for strategic budget allocation decisions and platform-level attribution (like GA4) for tactical campaign optimization. They complement each other - MMM corrects the biases that platform attribution can't see.