Quick MMM Analysis

What is Marketing Mix Modeling (MMM)?

Marketing Mix Modeling or Media Mix Modeling is a statistical analysis technique that helps marketers quantify the impact of various marketing activities on sales or other business outcomes. It identifies which channels drive the best results and provides data-driven insights for optimizing marketing budget allocation.

Can I use CheapMMM without creating an account?

Yes! CheapMMM is designed for immediate use without any account creation, login, or subscription. Simply upload your marketing data and the system instantly runs the marketing mix model, delivering actionable insights in seconds.

What data format do I need to use CheapMMM?

You need a CSV file with at minimum: a Date column (in MM/DD/YY or YYYY-MM-DD format), a Sales column (or other conversion metric), and one or more marketing channel spend columns (e.g., Facebook_Ads, Google_Ads, TV_Ads). Each row should represent one time period (daily, weekly, or monthly data). A sample CSV template is available for download above.

How accurate is CheapMMM compared to enterprise solutions?

While CheapMMM is not designed to replace enterprise-grade MMM platforms that cost tens of thousands of dollars, it uses scientifically accepted statistical approaches to provide reliable directional insights.

What statistical methodology does CheapMMM use?

CheapMMM uses geometric adstock transformations and Hill-function saturation curves with Joint MAP estimation to simultaneously fit all channel parameters. Ridge regression estimates channel contribution coefficients with adaptive regularization. Trend and Fourier seasonality controls separate baseline sales patterns from media effects. This approach balances sophistication with interpretability.

How does CheapMMM handle adstock and diminishing returns?

CheapMMM implements geometric adstock transformations to capture how marketing effects persist over time. For diminishing returns, we use Hill function saturation curves that model how increasing spend eventually yields declining incremental returns. Both parameters are estimated jointly via MAP optimization with Bayesian priors to find the best fit for your specific data.

How are ROAS (Return On Ad Spend) values calculated?

ROAS values are calculated as total modeled contribution divided by total spend per channel, using Ridge regression coefficients on adstock- and saturation-transformed spend. Uncertainty is quantified via Laplace approximation, producing 90% credible intervals around each ROAS estimate.

Who is CheapMMM designed for?

CheapMMM is ideal for startup marketers, growth teams, SMB marketing managers, marketing agencies working with smaller clients, and anyone needing quick, data-driven marketing effectiveness insights without the complexity and cost of enterprise solutions.

What insights will I get from the CheapMMM analysis?

You will receive channel-specific ROAS values, feature importance metrics showing the relative impact of each channel, actual vs. predicted sales visualization, and insights into how marketing effects carry over time. These insights help you understand which channels drive the most value and how to optimize your marketing budget allocation.

How much historical data do I need for reliable results?

For meaningful results, we recommend at least 3-6 months of data with regular spend variations across channels. More data generally improves model accuracy, but even smaller datasets can provide directional insights if they contain sufficient spend variation.

Is my data secure with CheapMMM?

Yes. Your uploaded data is stored temporarily (1 hour) for analysis and automatically deleted afterward. We do not permanently store your marketing data, and it is never used to train models or for any purpose other than your immediate analysis session.