Discover which channels drive growth, and which are past their peak.
Use our automated, Bayesian Media Mix Modeling engine that refreshes with every new batch of data and stays calibrated by real-world incrementality tests.
For decades, Media Mix Modeling has been how the biggest advertisers decide where their budgets go. It also cost six figures.
That price tag kept MMM out of reach for all but the biggest advertisers. And even for those who could pay, the models were not transparent or fully customizable (without costing even more).
Our platform does a data audit to fully inform you on whether an MMM will yield good results for you. It is affordable, transparent and customizable. On completion, it will give you a single, mathematically rigorous source of budget truth within Statistical modeling intervals.
Connect directly to your media spend, CRM revenue streams, and external variables (macroeconomic trends, promotions, seasonality). The platform audits your data to advise on MMM readiness and suggests ways to improve it. The MMM output itself will show you exactly how much to spend in each channel, and will even recommend overall budgets to optimize profitability (or your main KPI).
Our model will also inject results with confidence intervals from your past incrementality testing as Bayesian priors. The model will anchor itself to the known causal truth.
No two businesses measure success the same way. Our platform makes customization simple: pick the KPI that matters to you (revenue, profit, new customers), add your own business knowledge as priors, and include the variables that actually move your market, from promotions to seasonality to broader economic trends. If your TV spend drives revenue only indirectly, by first lifting brand searches, we will model even that. And because the model is fully transparent, you can see and adjust every assumption rather than accepting a black box.
Move from analysis to execution with our interactive budget sandbox. Simulate the macro financial outcomes of shifting spend across your entire portfolio, identify the exact saturation inflection points for every digital and offline channel, and generate predictive ROAS curves before redeploying or adding any budget.
Visualize the modeled mathematical point where your next ad dollar on Meta, Google, or linear TV hits marginal utility loss.
Generate instantly optimized budget allocation matrices based on your explicit constraints.
Isolate your baseline organic sales from your paid marketing lift. Know how much revenue your brand would generate without any ad spend.
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17 checks to run before you commission an MMM, so you know your data can carry one before you pay.