Intelligence Factory
Our Capabilities
- - - Core Practice Areas
  - - Our core practice areas are designed to meet an enterprise at any stage in their customer data journey, from discovery, to implementation, to analysis and enrichment.
    - Tech & Data Strategy
      
      Data Engineering
      
      Platforms
      
      Marketing Analytics
  - - Google Cloud Services
      Boost your digital strategy, transform analytics, and migrate your marketing analytics with our Google Cloud expertise.
      
      Databricks Services
      Power your Intelligence Factory on Databricks to unify your data and AI, accelerate predictive customer insights, and drive smarter marketing activation.
    - Technology Partners
      We partner with leading technology providers to design and deploy customer data strategies.
Outcomes
Company
- - - Company
  - - The Customer Data Accelerator: Pioneering the last mile of transformative data outcomes.
      
      Overview
  - - Meet the Team
      Careers
      News & Press

Predictive models, enrichment, and reporting that turn customer analytics into clear direction

Insights Engine

The Insights Engine is a repeatable, scalable system for turning raw customer analytics into business advantage.

It combines predictive models, segmentation frameworks, third-party data enrichment, and custom reporting tools—built to run directly on your cloud data infrastructure. The result is faster time to insight, stronger targeting strategies, and machine learning tools that are usable by real marketing and analytics teams.

With the Insights Engine in place, you can:

Predict which customers are most likely to buy, churn, or re-engage
Forecast lifetime value and repeat purchase likelihood
Build audience segments that improve efficiency and return on media spend
Enrich customer profiles with demographic and behavioral attributes

The outcome is predictive marketing insights—clean data in, clear direction out.

Schedule a call to learn more

What we deliver

Deploy predictive scoring and segmentation models to identify churn risk, forecast LTV, and improve audience targeting.

Build audience dashboards and customer universe reporting to visualize reach, engagement, and campaign potential.

Enrich customer records with third-party data to add behavioral, demographic, and contextual attributes.

Activate always-on prospecting engines powered by AI-driven lookalike models and third-party data overlays for targeted acquisition.

Develop a prioritized analytics roadmap to guide reporting, advanced modeling, and future-state use cases.

Design and launch testing strategies to validate audience performance and optimize customer experience.

The Results

Reduce customer acquisition costs by 25% and increase conversion rates by 12% through predictive segmentation in paid media.
Identify $60MM in annual revenue opportunity using churn propensity models to target and retain high-risk customer segments.
Improve conversion efficiency by 15–25% with real-time lead scoring powered by AI models deployed in your cloud environment.
Deliver insights faster and more consistently across marketing, analytics, and customer experience teams.
Deploy predictive segments into paid media, lifecycle campaigns, and personalization platforms.

Client Highlights

#Retail

Turning Churn Into Opportunity: How Predictive AI is Reshaping Customer Retention

Introduction For many brands, churn is a costly but often misunderstood problem. Traditional retention strategies rely on reactive ...

See the Data

#Retail

Driving Performance with Predictive Segmentation: How One Brand Scaled Meta ROI

The Challenge During a high-stakes selling season, a national DTC brand needed its Meta campaigns to deliver—not ...

See the Data

#Travel

Real-Time Lead Scoring with Vertex AI and BigQuery: Accelerating High-Intent Conversions

For marketing and sales teams, speed is critical. When you can’t identify high-intent leads in real time, ...

See the Data

“Customer intelligence depends on the collection of the right customer data because you can spend unnecessary time collecting a lot of wrong data or a lot of data that isn’t impactful.”

Craig Howard

Chief Solution Officer

Hear From Our Experts

“Customer intelligence depends on the collection of the right customer data because you can spend unnecessary time collecting a lot of wrong data or a lot of data that isn’t impactful.”

Meet the Team Schedule a Call