Marketing Mix Modeling Infrastructure
Marketing Mix Modeling Infrastructure
Scalable Cloud Data Environments for Econometric Analysis
Scalable Cloud Data Environments for Econometric Analysis
Accurately modeling the impact of all marketing activities requires processing massive volumes of historical, aggregated data from highly diverse sources. Digitl architects and deploys the robust cloud infrastructure needed to power Marketing Mix Modeling (MMM). By centralizing years of physical offline sales and digital ad spend into secure, high-performance data warehouses, the data engineering team builds the reliable foundation necessary for advanced econometric analysis and strategic budget planning.
Scalable Cloud Data Environments for Econometric Analysis
Scalable Cloud Data Environments for Econometric Analysis
Accurately modeling the impact of all marketing activities requires processing massive volumes of historical, aggregated data from highly diverse sources. Digitl architects and deploys the robust cloud infrastructure needed to power Marketing Mix Modeling (MMM). By centralizing years of physical offline sales and digital ad spend into secure, high-performance data warehouses, the data engineering team builds the reliable foundation necessary for advanced econometric analysis and strategic budget planning.
Building the Technical Foundation for MMM
Building the Technical Foundation for MMM
Centralizing Disparate Data Sources
Centralizing Disparate Data Sources
Marketing Mix Modeling requires a holistic view of the business, meaning data must be aggregated from highly fragmented sources. Digitl builds centralized data lakes, such as Google BigQuery, to break down these silos. This structural approach ensures that digital metrics live in the exact same environment as offline metrics, creating the single source of truth required for accurate regression analysis.
Automating Continuous Data Flows
Automating Continuous Data Flows
Traditional MMM approaches often rely on manual data collection and static CSV uploads. Digitl replaces this with automated data pipelines. By building robust Application Programming Interfaces (APIs) that continuously fetch the latest spend and sales data, the cloud infrastructure ensures the econometric models can be calculated efficiently to align perfectly with your specific budget planning cycles.
Independent and Secure Operations
Independent and Secure Operations
Operating as an independent technology partner, Digitl selects the most efficient cloud services for the specific use case. Whether a company prefers a Google Cloud native setup or an architecture hosted on AWS, the engineering team prioritizes data ownership, complete control over open-source econometric libraries like Google Meridian, and strict compliance with the General Data Protection Regulation (GDPR).
Additional Services by Digitl for Marketing Mix Modeling
Additional Services by Digitl for Marketing Mix Modeling
Projects
Projects
End-to-end technical execution of Marketing Mix Modeling, including data aggregation, econometric model development, and dashboard creation.
Support
Support
Continuous monitoring of automated data pipelines, proactive debugging, and calculating models based on the budget planning cycles of our customers.
Algorithm
Algorithm
Advanced econometric algorithms, utilizing Bayesian inference and Google Meridian, to mathematically measure the incremental impact of all marketing efforts.
Are you interested?
Are you interested?
Contact us today to start your journey towards digital success!
Contact us today to start your journey towards digital success!
Trusted by industry leaders
Trusted by industry leaders
