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 deploys the entire project directly within your private cloud environment, ensuring you retain 100% ownership and complete control over your source data and final models at all times.
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 deploys the entire project directly within your private cloud environment, ensuring you retain 100% ownership and complete control over your source data and final models at all times.
Data Sovereignty
Data Sovereignty
Complete ownership of your modeling pipelines. All data inputs, Python notebooks, and model & optimization outputs remain entirely within your private cloud architecture.
Zero Cookie Reliance
Zero Cookie Reliance
Future-proof measurement built entirely independent of individual user tracking or third-party cookies.
Aggregate Modeling
Aggregate Modeling
Relies strictly on regional or national aggregate data, completely bypassing the need to collect, process, or store personal identifiers (PII).
Open-Source Transparency
Open-Source Transparency
A fully transparent codebase that allows your 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 securely within your own cloud ecosystem, utilizing enterprise environments like Gemini Enterprise Agent Platform (formerly Vertex AI) on the Google Cloud Platform (GCP). This guarantees zero external data leakage or exposure to third-party providers.
Future-Ready Calibration (GeoX Roadmap)
Future-Ready Calibration (GeoX Roadmap)
Backed by Google's continuous development, the upcoming Meridian GeoX framework will allow you to plan and evaluate standardized geo-split experiments. The resulting causal incrementality insights can then be seamlessly imported as Bayesian priors to calibrate your overarching Meridian model.
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. Once released, it will allow internal teams to create, customize, and manage model versions securely within your private data perimeter using an automated, UI-guided cloud workflow.
Interactive Scenario Planning
Interactive Scenario Planning
Once deployed, the interactive Scenario Planner operates via defined input parameters within your secure cloud environment. It empowers media teams to simulate channel-level budget shifts, compare optimization scenarios, and visualize response curves.
Frequently Asked Questions
Frequently Asked Questions
No. Because Meridian is an open-source framework deployed directly within your private cloud, all your data inputs, Python notebooks, and model & optimization outputs remain entirely under your direct organizational control.
Yes, absolutely. All data engineering workflows, model training iterations, and calculation loops can remain 100% within your existing Google Cloud Platform (GCP), leveraging secure environments like Gemini Enterprise Agent Platform, formerly Vertex AI.
Meridian does not use any user-level cookies, device identifiers, or tracking pixels. It relies completely on privacy-safe, aggregated marketing and sales data, such as media impressions, marketing spends, and overall sales volumes.
Yes, absolutely. Because Meridian relies entirely on aggregated marketing and sales data – such as media impressions, spends, and sales volumes – personally identifiable information (PII) is completely irrelevant and not required for the model. Operating entirely without user-level tracking, cookies, or device identifiers, the framework eliminates privacy risks by design. Furthermore, because Digitl deploys the platform entirely within your private cloud environment, you maintain complete data sovereignty and compliance at all times.