Media Mix Modeling built by marketers, for marketers.
Trusted by CFOs.

Yes. Every full run trains a real Meridian model on managed compute — not a proprietary approximation of it. You can inspect, audit, and export what’s trained.

A CSV or spreadsheet with your KPI, paid media spend by channel, and any organic or business controls. The guided wizard maps it and validates before anything trains.

Quick pipeline checks validate your setup in minutes. Full runs on managed compute typically finish within 5-10 minutes — no cluster to provision yourself.

Completely. Meridian is open-source; you can export the trained model and its assumptions at any time. It’s your model to inspect, not a black box you’re renting.

Yes, for a limited time while we onboard a small cohort of early teams. No credit card required — just tell us about your setup.

Team and Scale plans include shareable model reports so stakeholders can review diagnostics and budget scenarios without logging in.

Flexible channel-level constraints (such as locking specific vendor budgets) are currently on our near-term roadmap and coming soon! For now, you can model overall fixed national budget scenarios (e.g., 80%, 100%, 120%) across all channels.

Currently, budget scenarios are optimized at the National level. Regional market targeting (e.g., specific states or regions) is on our product roadmap and coming soon!

Flat ROAS numbers assume every channel scales infinitely at the same return rate, which leads to overspending. Meridian’s response curves model ad saturation and frequency fatigue, showing you the exact point of diminishing returns and true marginal ROI on your next dollar spent.

Current ROI tells you your overall historical return across all spend on a channel. Marginal ROI calculates the expected return on the additional budget you plan to allocate—helping you avoid dumping capital into already saturated channels.

Unlike "black-box" attribution tools, Meridian visualizes Priors vs. Posteriors. You can directly compare your baseline business assumptions (priors) against what the empirical data supports (posteriors) to verify that the model aligns with real-world outcomes.

Marketing performance naturally fluctuates due to seasonality, promotion periods, and market shifts. Modeling ROI as a probabilistic distribution gives you a realistic range of expected outcomes rather than relying on a static, rigid number.

Yes. Meridian generates stock summary reports in clean PDF format tailored for executive presentations, quarterly reviews, and CFO updates—free of confusing technical jargon or warning icons.

An integrated AI assistant to answer plain-language questions directly on your dashboard is on our product roadmap and will be released soon. In the meantime, all reports and model health checks are written in straightforward, jargon-free English.