AI Predictive Model for DV360 Revenue Optimization
Development and deployment of an AI predictive model to optimize DV360 programmatic campaigns for a leading luxury e-commerce platform, predicting high-value customers from early-stage signals.
What NIMA Digital Built
- ◆Developed AI predictive model incorporating product views, add-to-cart, and purchase data to predict purchase likelihood
- ◆Implemented real-time data tracking feeding predictive signals into DV360 campaigns
- ◆Designed custom bidding strategies optimizing for predicted high-value customers
- ◆Ran A/B test with equal investment to validate the AI model's effectiveness
- ◆Contributed to +27% year-over-year revenue growth target for 2023
Our Approach
In collaboration with Google and Making Science, NIMA Digital's founder addressed the challenge of low conversion rates relative to high product engagement. The team built a predictive AI model that used early-stage micro-conversion signals to identify high-value customers before they purchased, enabling DV360 to optimize campaigns for predicted converters rather than relying on limited historical conversion data.
Published Results
+106% revenue increase in A/B test
Source: Making Science / Google
+100% ROAS improvement
Source: Making Science / Google
+36% sales increase
Source: Making Science / Google
-25% Cost Per Acquisition (CPA)
Source: Making Science / Google
Technology Stack
Google DV360
Programmatic display and video advertising platform
Making Science
AI predictive modeling and custom bidding
Recognition
Published Making Science & Google Case Study
Quote from Nicola Antonelli, Chief Revenue Officer
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