Accuracy: 97%, 72%, 58%
Fill rates: 13%, 55%, 99%
Enabled smart offers
Found digital targets
The challenge
Optimizing retail marketing with location insights
A top payment provider aimed to link shoppers' home locations with preferred stores. The goal was to enhance marketing strategies and optimize store-related decisions.
Key challenges
Identifying accurate home-store relationships
Enhancing marketing personalization
Optimizing store location decisions
The solution
Smart location-based marketing
Data processing
Cleaned geo data
Matched external sources
Structured insights
AI matching
Used probabilistic search
Located merchants
Tracked cardholder behavior
Implementation approach
1
Personalized marketing
Targeted offers
Expanded reach
Boosted engagement
2
Strategic growth
Optimized locations
Predicted trends
Strengthened partnerships
3
Data-driven decisions
Data-driven strategy
Refined segmentation
Enhanced intelligence
The impact
Enhanced data intelligence for retail success
High accuracy
97% accuracy in mining
72% in matching
58% in learning
Improved data coverage
Fill rate: 13% (Mine), 55% (Match), 99% (Learn)
Deep retailer insights
Enhanced offers
Targeted marketing
Identified shopper locations
Enabled outreach
Digital targeting
Looking ahead
Expanded accuracy
Improvements in mining, matching, and learning
Data enrichment
Higher fill rates for deeper insights and offers
Smarter targeting
Advanced personalization for better engagement
