Media mix modeling has traditionally required specialized tools, data scientists, and expensive platforms. With FileMaker 2025, Claris FileMaker’s MLRegressionPred and PredictFromModel functions make it possible to run lightweight MMM analyses directly inside your database—using the data you already have.
What Media Mix Modeling Looks Like in FileMaker
Using historical data—such as spend by channel, impressions, conversions, and revenue—FileMaker can apply regression analysis to identify how different channels contribute to outcomes.
This allows teams to understand:
Which channels drive the strongest returns
Where diminishing returns occur
How spend impacts performance over time
All without exporting data to external modeling tools.
Using MLRegressionPred for Channel Analysis
The MLRegressionPred function can train models using inputs like:
Channel spend
Timing and seasonality
Conversion volume
Revenue impact
Once trained, models help marketers understand relationships between spend and results—ideal for directional insights and planning.
Apply Predictions with PredictFromModel
With PredictFromModel, FileMaker can:
Forecast outcomes based on proposed budget scenarios
Compare “what-if” spend allocations
Support smarter annual planning discussions
This makes MMM accessible to marketing teams without deep data science expertise.
Why This Matters
Running MMM inside FileMaker means:
No third-party analytics tools
No manual exports
Data stays secure and centralized
Faster insights for planning cycles
It’s a practical approach to data-informed budgeting.
Claris FileMaker’s new regression tools make media mix modeling more approachable and actionable. By embedding predictive insights directly into your marketing database, teams can plan budgets with confidence—using their own data, in their own system.
Want to explore MMM inside Claris FileMaker? Reach out to Kyo Logic here.