AI Agents for Traffic
and Ads Performance Intelligence on Databricks
Static dashboards tell you what happened.
AI agents tell you what to do next.
Indicium’s AI Agents for Traffic and Ads Performance Intelligence turn fragmented marketing data into a real-time decision engine. Built natively on Databricks Agent Bricks, agentic AI predicts performance, recommends actions, and continuously optimizes media spend and audience growth at enterprise scale.
Challenges
in Legacy Table Migrations
- Legacy table migrations move slowly and block critical initiatives
- Dependency on a few developers creates single points of failure and delays
- Manual code conversion lowers quality and breaks compliance with best practices
- Engineers waste time on repetitive work instead of innovation
Built for High-Stakes Decisions
With AI agents running on the Databricks Data Intelligence Platform, CMEG teams can:
❯ Predict campaign performance before budget is committed
❯ Optimize channels, audiences, and budget in near real time
❯ Scale AI-driven decision-making across brands, regions, and channels
No waiting for reports. No manual analysis.
What Makes This Different
One trusted marketing data foundation
All social, search, programmatic, and web analytics data unified in a governed Databricks Lakehouse with Unity Catalog.
AI agents that act, not just analyze
Agentic AI generates predictive signals for engagement, conversion, and ROI, enabling proactive decisions instead of reactive reporting.
Built-in Optimization
Prescriptive recommendations continuously improve campaign performance, media mix, and spend efficiency.
Who This is For

Communications, Media, and Entertainment enterprises

Marketing, growth, and monetization leaders

Audience, media, and performance analytics teams

Enterprise customers ready to operationalize AI
Why choose
Databricks + Indicium
Indicium brings deep Databricks expertise to move
from idea to production fast.
❯ Native Databricks Lakehouse architecture
❯ Agent Bricks for production-gradeAI agents
❯ Unity Catalog for governance, lineage and trust
+8
years of experience in the Modern Data Stack
+500k
hours in Databricks projects
+150
Databricks certifications
+510
certified professionals