Google Meridian – Services

End-to-End Enablement, Training & Flexible Model Building

Successfully deploying an advanced, Bayesian Marketing Mix Model requires a combination of deep data science and media expertise. Digitl provides highly adaptable services for the open-source Google Meridian framework. Whether your company requires a comprehensive initiator to prepare data and build the model from scratch or an expert facilitator to guide your internal data science teams. We deliver structured onboarding, advanced training, and successful strategies to build your Meridian model.

Full Model Build

A comprehensive model covering online and offline media. Digitl handles data preparation, analysis, modeling, and delivers custom budget optimization scenarios.

Regular Model Updates

Keep your strategic planning accurate. Digitl integrates fresh sales and marketing data to verify previous budget recommendations and refine your strategy, round by round.

Facilitator & Enablement

Designed for companies with in-house data science teams. Digitl acts as an expert advisor, providing project management and model-based navigation, reviews, and customized masterclasses.

Our Google Meridian Strategic Service Pillars

Full Model Build

A comprehensive, full-channel model covering both online and offline media. Digitl handles iterative data preparation, data analysis, modeling, and delivers custom budget optimization scenarios aligned with your business goals.

Regular Model Updates
To keep your strategic planning accurate, your model must grow with your business. Digitl integrates fresh input data, specifically to evaluate the impact of previously implemented budget recommendations. These recurring update rounds allow you to verify your results, refine your strategy, and continuously improve your marketing efficiency, cycle by cycle.

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Facilitator & Enablement

Designed for companies with in-house data science capabilities. Digitl acts as an expert advisor, providing project management and model-based navigation, reviews, and customized training masterclasses to ensure successful co-development and long-term model ownership.

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Advanced Meridian Training

To ensure long-term model ownership, Digitl delivers a comprehensive, four-session masterclass programm. This curriculum is designed to guide data scientists from the theoretical foundations of Bayesian statistics to hands-on model evaluation and budget optimization aligned to your business goals.

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Regular Model Updates

To keep your strategic planning accurate, your model must grow with your business. Digitl integrates fresh input data, specifically to evaluate the impact of previously implemented budget recommendations. These recurring update rounds allow you to verify your results, refine your strategy, and continuously improve your marketing efficiency, cycle by cycle.

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Frequently Asked Questions

If you lack internal data science resources, Digitl acts as the initiator to execute your end-to-end Full Model Build, managing the entire kick-off, data preparation, modeling, and optimization process. If you already have an in-house data science team, we operate as an expert facilitator to provide guidance, reviews, and customized masterclasses.

The Full Model Build is a comprehensive, full-channel project covering both online and offline media. Digitl handles the iterative data preparation, deep data analysis, and advanced Bayesian modeling. We then calibrate the model using your existing incrementality test results and deliver custom budget-allocation scenarios optimized to your specific business and KPI goals.

Through our Regular Model Updates and continuous implementation loops, our data scientists systematically refresh your model with new sales, spend, and impression data. This allows you to verify the impact of previously implemented budget recommendations. Additionally, we integrate the latest Meridian upgrades released by Google's gTech team directly into your secure, private cloud environment.

Yes, absolutely. Google Meridian is highly structured, but Bayesian concepts like prior calibration and MCMC sampling can be challenging. Through our Facilitator & Enablement program and our 4-session masterclass, Digitl bridges this exact gap. We guide your team step-by-step from Bayesian theory and prior-setting to model diagnostics and troubleshooting, preparing them to run and own Meridian completely independently.