Quick Overview
Epsilon Abacus developed the Accelerate machine learning system to build more accurate modeled customer lists, improving targeting and campaign effectiveness for marketers.
Epsilon Abacus
Company Size
Part of Publicis Groupe (~80,000 employees)
Revenue Range
Not publicly disclosed
Primary Challenge
Enhancing customer list accuracy for targeted marketing campaigns
Key Metrics
\- Enhanced modeled customer lists\- Improved marketing ROI\- Increased campaign effectiveness
The Problem
Traditional customer lists were often inaccurate or incomplete, reducing campaign performance.
The Solution
Developed and deployed Accelerate, a machine learning platform that refines customer data to model high-propensity prospects accurately.
Results
\- Better targeting and segmentation\- Increased marketing ROI\- More efficient campaign spend
Details
Industry
Marketing & Advertising
Departments
Data & Analytics
Marketing & Content
Use Cases
Predictive Modeling
Customer Feedback Analysis
Market Research
Tags
Machine Learning
Predictive Modeling
Improved Accuracy
Enhanced Decision-Making
Marketing Teams
AI Tools Used
No items found.
Sources
https://h2o.ai/case-studies/epsilon-increases-customers-marketing-roi/https://www.vktr.com/ai-disruption/5-ai-case-studies-in-marketing/
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