Protocol: Agentic Optimization

Global Ad-Spend Optimization ML

DatabricksSparkMLflowMeta/Google APIs

Sector

AdTech / Machine Learning

Integrity

Industrial Grade

Partner

International Digital Agency

The Challenge

Managing multi-million dollar ad spend across 50+ international accounts meant that budget reallocation happened too slowly to capture peak conversion windows.

Technical Protocol

A Medallion architecture on Databricks Lakehouse, unifying real-time clickstream data with spend logs. We deployed an Agentic AI layer that automatically suggests budget shifts based on semantic performance patterns.

Production Metrics

18% average ROAS increase

Real-time spend visibility < 5min

Unified 4 legacy data silos

Compliance

GDPR Native

Zero-Trust

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