Google Meridian – Security & Privacy
Google Meridian – Security & Privacy
Enterprise Data Sovereignty & Privacy-Safe Modeling
Enterprise Data Sovereignty & Privacy-Safe Modeling
Modern marketing measurement must respect consumer privacy without sacrificing statistical accuracy. Google Meridian is an open-source, privacy-first Marketing Mix Model (MMM) framework designed to operate entirely within an enterprise's secure data perimeter. Digitl ensures your modeling environment adheres to the highest data protection, data isolation, and corporate governance standards.
Enterprise Data Sovereignty & Privacy-Safe Modeling
Enterprise Data Sovereignty & Privacy-Safe Modeling
Modern marketing measurement must respect consumer privacy without sacrificing statistical accuracy. Google Meridian is an open-source, privacy-first Marketing Mix Model (MMM) framework designed to operate entirely within an enterprise's secure data perimeter. Digitl ensures your modeling environment adheres to the highest data protection, data isolation, and corporate governance standards.
Data Sovereignty
Data Sovereignty
Complete ownership of your modeling pipelines. All data inputs, script executions, and parameter outputs can remain entirely within your private cloud architecture.
Zero Cookie Reliance
Zero Cookie Reliance
Future-proof measurement built independent of user-level tracking, third-party cookies, or cross-app device identifiers.
Aggregate Modeling
Aggregate Modeling
Utilizes regional geo-level or national aggregate data sets, eliminating the risk of re-identifying individual consumers.
Open-Source Governance
Open-Source Governance
Fully transparent code base allowing internal security, legal, and compliance teams to audit every statistical function and data flow.
Complete Control Over Your Measurement Infrastructure
Complete Control Over Your Measurement Infrastructure
Localized Environment Control
Localized Environment Control
Data flows and model calculations can remain entirely within your own cloud environment, such as a dedicated Google Cloud Platform (GCP) or BigQuery project, if you wish so. This guarantees zero external data leakage or exposure to third-party providers.
Future-Ready Calibration (GeoX Roadmap)
Future-Ready Calibration (GeoX Roadmap)
As the Google gTech team continuously develops the framework, the upcoming Meridian GeoX integration will allow for privacy-safe model calibration via aggregate geo-split experiments, establishing a secure path for injecting future incrementality data.
Governed Model Workspaces (Studio Roadmap)
Governed Model Workspaces (Studio Roadmap)
Part of the planned platform evolution includes Meridian Studio, which is being engineered to introduce enterprise-grade cloud governance, allowing internal teams to manage code updates and model versions securely within your private data perimeter once released.
Active Scenario Planning
Active Scenario Planning
Available for immediate strategic use, the integrated Scenario Planner operates code-free within a secure interface, letting media planners simulate budget shifts and visualize ROI trajectories interactively without exposing underlying data assets.
Frequently Asked Questions
Frequently Asked Questions
Not needed. Because Meridian is an open-source framework, your data feeds, configuration files, and statistical outputs can remain entirely under your direct organizational control.
Yes, absolutely. If you wish, all data engineering flows, model training iterations, and calculation loops can remain 100% within your private Google Cloud Platform (GCP) or BigQuery infrastructure.
Meridian does not use any user-level cookies, device identifiers, or tracking pixels. It relies completely on privacy-safe macro signals like geographic media delivery and overall sales volumes.
Yes. By utilizing aggregated regional and national metrics rather than individual consumer profiles, the framework avoids processing Personally Identifiable Information (PII) by design.