Media Mix Modeling (MMM) is a cutting-edge, privacy-conscious, and highly resilient statistical approach that quantifies the incremental impact of marketing and non-marketing activities on sales and ROI.
It's an econometric model that dissects how marketing budgets should be distributed across channels, products, and regions to forecast the effects of future campaigns.
MMM is ideal for: Marketing professionals, CMOs, and business owners looking to maximize their advertising ROI without compromising consumer privacy.
Understand the direct effects of your marketing efforts on sales.
Get a true picture of your return on ad spend, free from platform biases.
Avoid overspending on audiences that would convert regardless.
Leverage AI/ML technologies for unbiased, data-driven decision-making.
Our Media Mix Modeling solution leverages Robyn, a cutting-edge framework developed by Meta, to provide a comprehensive suite of analytics deliverables. From budget optimization and custom MMM modeling to advertising effectiveness analysis, we equip you with the insights to allocate your marketing spend more efficiently. Gain unparalleled understanding of your advertising's carry-over, saturation effects, and the optimal timing for engagement, ensuring every dollar contributes to your bottom line.
Our Media Mix Modeling process is streamlined into six critical steps: initial goal alignment in our kickoff meeting, extensive data collection, early data analysis for accuracy and correlation, MMM model development focusing on feature selection and ROI, budget optimization through forecasting, and final model calibration using geo lift experiments. This concise approach ensures data-driven, actionable insights for optimal marketing spend and strategy.
We start with a comprehensive discussion to understand your goals, challenges, and specific needs. This session ensures we are aligned on objectives and outcomes.
With your collaboration, we secure access to the necessary data, setting the stage for our in-depth analysis. This phase is critical for gathering the insights to fuel your growth.
Initial data checks and feature identification are performed at this stage to set the foundation for building the MMM.
Developing the MMM model, including ROI calculations. Additionally, at this stage we will build automated dashboards to enable easy access to MMM outputs.
The model is used to forecast and optimize next month’s budget allocation. The output is an optimized media spend mix based on a defined budget.
After teh initial build, the model is fine-tuned the via geo lift experiments. Additionally, we may explore additional inputs to improve performance.
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