AURA
AI-Driven Retail Media Intelligence to Plan Smarter and Optimize Faster
Maximize your retail media impact with unified intelligence
AI Unified Retail Media Analytics (AURA) is an AI-driven retail media intelligence platform built to centralize planning, measurement, simulation, and optimization. By combining predictive analytics, agentic AI, and real-time diagnostics, AURA replaces reactive execution with continuous, profit-aware decision-making.
Bring clarity to your retail media decision-making
As your retail media network (RMN) grows, fragmented measurement across channels make it nearly impossible to see what’s actually driving profit. You’re planning campaigns based on what worked instead of what will work. Your teams are optimizing for revenue, not margin — because they can’t see saturation points or diminishing returns by channel. This results in budget inefficiencies, decision bottlenecks, and eroded advertiser trust.
Move from reactive to proactive with AURA! Predict what will work before you spend, spot performance gaps as they happen, and optimize continuously to drive profit, growth, and brand confidence across every channel.
Bring clarity to your retail media decision-making
As your retail media network (RMN) grows, fragmented measurement across channels make it nearly impossible to see what’s actually driving profit. You’re planning campaigns based on what worked instead of what will work. Your teams are optimizing for revenue, not margin — because they can’t see saturation points or diminishing returns by channel. This results in budget inefficiencies, decision bottlenecks, and eroded advertiser trust.
Move from reactive to proactive with AURA! Predict what will work before you spend, spot performance gaps as they happen, and optimize continuously to drive profit, growth, and brand confidence across every channel.
Manage Retail Media
Network end-to-end

Assess
Measure true incremental lift and identify what's actually driving profit across channels.

Strategize
Simulate outcomes before spending. Compare scenarios and choose the optimal channel mix.

Optimize
Track performance in real time, detect inefficiencies, and optimize continuously for profit.

Assess
Measure true incremental lift and identify what's actually driving profit across channels.

Strategize
Simulate outcomes before spending. Compare scenarios and choose the optimal channel mix.

Optimize
Track performance in real time, detect inefficiencies, and optimize continuously for profit.

Assess
Measure true incremental lift and identify what's actually driving profit across channels.

Strategize
Simulate outcomes before spending. Compare scenarios and choose the optimal channel mix.

Optimize
Track performance in real time, detect inefficiencies, and optimize continuously for profit.

Spot Trends
Identify market trends with growth potential.

Identify Opportunities
Eliminate transient trends and focus on white space opportunities.

Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.

AI Simulation
Implement multi-class models for predicting winning combinations.

Spot Trends
Identify market trends with growth potential.

Identify Opportunities
Eliminate transient trends and focus on white space opportunities.

Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.

AI Simulation
Implement multi-class models for predicting winning combinations.

Spot Trends
Identify market trends with growth potential.

Identify Opportunities
Eliminate transient trends and focus on white space opportunities.

Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.

AI Simulation
Implement multi-class models for predicting winning combinations.

Spot Trends
Identify market trends with growth potential.

Identify Opportunities
Eliminate transient trends and focus on white space opportunities.

Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.

AI Simulation
Implement multi-class models for predicting winning combinations.

Spot Trends
Identify market trends with growth potential.

Identify Opportunities
Eliminate transient trends and focus on white space opportunities.

Optimal Product Attributes
Match the product attributes that best suit the identified opportunities.

AI Simulation
Implement multi-class models for predicting winning combinations.
AURA Leverages Databricks to Drive AI-Powered Retail Media Intelligence
Delta Lake
Through Delta Lake, AURA establishes a reliable data foundation by structuring retail media data into a medallion architecture. This allows AURA to ingest, cleanse, enrich, and aggregate customer, campaign, and transaction data to power customer journey mapping, multi-touch attribution, and incrementality measurement while maintaining high data accuracy and consistency.
Databricks SQL
With Databricks SQL, AURA delivers real-time dashboards, performance reporting, and scenario forecasting. It enables complex cross-channel campaign analysis and supports conversational analytics by translating business questions into actionable performance insights.
Unity Catalog
By leveraging Unity Catalog, AURA enforces secure, governed, and privacy-compliant access to retailer and brand data. This allows AURA to protect sensitive information while enabling controlled collaboration and cross-brand performance analytics.
MLflow & Feature Store
Using MLflow, AURA efficiently develops, tracks, and deploys attribution and incrementality models, ensuring continuous model improvement and operational reliability. The Feature Store provides centralized, reusable, and consistent data features that enhance the accuracy of measurement,simulation and optimization models.
Agent Bricks & Model Serving
Agent Bricks enables AURA to deploy intelligent Simulation and optimization agents that automatically analyze campaign performance and generate performance improvement actions. Model Serving supports AURA in delivering real-time predictive insights and optimization recommendations directly within the platform experience.
Delta Sharing
Through Delta Sharing, AURA enables secure and privacy-safe collaboration between retailers and brand partners by providing governed data-sharing environments. This allows AURA to deliver transparent campaign performance insights that build brand trust and support reinvestment decisions.
Databricks Apps
AURA is delivered through Databricks Apps, which provides a unified and scalable application framework that integrates data pipelines, AI models, and optimization agents. This architecture enables AURA to deliver real-time insights, interactive dashboards, and conversational analytics within a secure and high-performance environment.
What you gain with AURA
Increased revenue
Increased
revenue
Advertiser confidence
Advertiser
confidence
Owned intelligence
Owned
intelligence
Faster decision-making
Faster
decision-making
Higher profitability
Higher
profitability
Drive 10–20% incremental revenue uplift by optimizing campaigns continuously against predicted outcomes, not static benchmarks.
Build confidence with data-driven insights that enable stronger joint business plans and higher brand investment.
Bring retail media management in-house to own your intelligence layer, cut agency costs, and retain more advertising revenue.
Reduce planning and optimization cycles by 40–60% through AI-driven simulation, diagnostics, and automated recommendations.
Increase incremental profit by 15–30% by reallocating spend toward high-impact channels and avoiding saturation.
Success Stories
Campaign Optimization with Algorithmic Bidding
20%
Surge in net revenue
$10 Million+
Ready to own your retail media intelligence?
Discover how AURA brings planning, measurement, and optimization together.
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