Generative AI for Buyer Segmentation & Offers
Unique Computing partnered with a large retail chain to implement large language models (LLMs) and predictive models that tailor campaigns based on behavior, location, and sentiment analysis.
[ TIMELINE ]
4 months
[ CLIENT ]
National Retail Brand
[ CHALLENGE ]
A large retail chain lacked precision in targeting and personalization:
Marketing teams relied on static segments based on outdated demographic data.
Cart abandonment and bounce rates were increasing, with low engagement in email and ad campaigns.
The inability to adapt messaging dynamically based on behavior reduced the return on investment (ROI) of promotions.
Sales teams had no insight into high-intent buyers until late in the funnel.
[ SOLUTION ]
Unique Computing delivered a real-time GenAI engine for intelligent customer segmentation and personalized outreach. Key components included:
Behavioral Segmentation Models
ML algorithms clustered users by browsing patterns, product preferences, and engagement history to identify micro-segments with high purchase intent.
Generative Content Tailoring
AI dynamically personalized product recommendations, email copy, and ads for each segment, raising open and conversion rates by over 25%.
Cross-Channel Activation
Customer profiles were synced across web, email, SMS, and app notifications, ensuring consistent, AI-personalized experiences at every touchpoint.
[ RESULTS ]
60%
Faster turnaround
