Google Meridian

Explore Complete Google Meridian Strategic Frameworks

Google Meridian transforms marketing mix modeling from traditional, siloed approaches into a flexible, Bayesian-driven framework. Discover the key methodological innovations, such as experimental calibration, search intent integration, and reach-and-frequency modeling, that Digitl leverages to maximize your measurement clarity.

Bayesian Methodology

Shift from traditional, static point-estimates to an advanced, GPU-accelerated probabilistic engine. Built for high-performance Bayesian computing, Meridian accurately quantifies media uncertainty and model complexities in minutes, not hours.

Probabilistic Engine

Estimates media impact using probability distributions to accurately quantify uncertainty and secure strategic budget planning.

GPU Acceleration

Utilizes advanced GPU acceleration to run complex Bayesian simulations in minutes instead of hours.

Prior Knowledge Integration

Incorporates historical knowledge, e.g. from incrementality tests, into the model parameters.

Geo-Level Modeling

Maximize statistical power by evaluating multi-channel marketing variations across distinct geographic regions rather than national aggregates.

Regional Variance

Analyzes performance variations across geos, capturing unique regional nuances to improve overall national precision.

Partial Pooling

Enables geographic regions to share statistical strength, keeping the model highly reliable even in regions with sparse data.

Localized ROI

Provides a regional breakdown instead of just national totals, giving insights into how each individual region performs.

Roadmap Innovations

Keep your measurement framework at the absolute cutting edge with continuous advancements and new tools across Google’s open-source and cloud measurement ecosystem.

Interactive Scenario Planner

Interactive simulation allowing media teams to run real-time budget optimization and scenario testing.

Upcoming Meridian GeoX

Planned open-source framework designed to execute and analyze geographic incrementality tests.

Upcoming Meridian Studio

Future cloud infrastructure engineered to automate heavy pipelines and run models at scale.

Data Sovereignty

Guarantee total data privacy and compliance by hosting all modeling scripts and source data 100% within your private enterprise cloud.

Private Containment

All model scripts, data flows, and calculations can live 100% within your private enterprise perimeter.

Zero User Tracking

Operates entirely independent of third-party cookies, device IDs, or personal tracking data.

Compliance Alignment

Designed to remain fully compliant with GDPR, CCPA, and internal data security policies.

Experimental Calibration

Bridge the gap between correlation and true causation by integrating aggregate incrementality test results as Bayesian priors.

Causal Ground-Truth

Anchors marketing mix models in reality by combining observational data with field experiments.

Geo-Split Integration

Integrates results from 'Holdback' or 'Heavy Up' testing windows seamlessly into the framework.

Unified Measurement

Combines long-term strategic marketing mix modeling with short-term causal incrementality indicators.

Operational Enablement

Access highly adaptable deployment workflows where Digitl operates as an expert facilitator or a comprehensive full-service initiator.

Flexible Implementation

Digitl acts as a full-service initiator or an expert data science facilitator based on your assets.

Specialized Training

Comprehensive masterclasses to empower internal analytics teams and media planners.

Planned GA Sync

Upcoming native Google Analytics integration to automate and structure marketing data collection.

Explore Our Core Google Meridian Framework Track

Framework Solutions

Explore the technical capabilities of the framework, including the Scenario Planner, Meridian GeoX, and Meridian Studio.

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Specialized Services

Discover how Digitl acts as an initiator or facilitator across onboarding, specialized training, and implementation.

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Security & Privacy

Learn how the open-source framework ensures complete data sovereignty and private containment within your cloud infrastructure.

Explore Security

Pioneering Next-Generation Measurement

As traditional cookie-based tracking and user-level identifiers continue to fade, enterprise marketing departments require a mathematically rigorous, future-proof methodology to quantify media effectiveness. Google Meridian delivers exactly that, providing an open-source, fully transparent architecture that places data sovereignty back into corporate hands. Operating as the first official certified partner in EMEA since the platform's early 2025 launch, Digitl bridges the gap between intricate data science and strategic budget decisions.

Core Technology Components & Solutions

Interactive Scenario Planner

Utilize modeled diminishing returns to simulate different channel-level budget allocation scenarios – such as maximizing incremental sales under a fixed budget.

Upcoming Meridian GeoX

Run aggregate geographic incrementality experiments to establish clear causal lift and generate Bayesian priors.

Upcoming Meridian Studio

Transition complex modeling workflows into automated, secure cloud-based pipeline environments.

Powering Causal Inference with AI & Machine Learning

Google Meridian transforms traditional marketing mix modeling by integrating advanced machine learning with robust Bayesian statistics. By utilizing AI-driven data imputation, automated pattern recognition, and predictive simulations, the framework processes massive multi-dimensional datasets to uncover hidden causal relationships. This ensures your budget allocation strategies are continuously optimized by intelligent, future-proof analytical models.

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Our Advantage in Advanced Analytics and MMM

Knowledge

We know the Google ecosystem inside out. Our experts understand how Data Studio Pro interacts with BigQuery, IAM, and the wider Google Cloud environment.

Independent

We focus on your needs, not a specific vendor. We help you decide when Pro is the right choice and when you might need the full Data enterprise platform.

Tech-Driven

We automate where possible. From using APIs to manage permissions to scripting the migration of assets, we use technology to make your transition efficient.

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