The client needed to expand its customer base by identifying top products, predicting purchase behavior, and driving consistent targeting across direct mail and web campaigns.
Key challenges
Fragmented targeting across channels
Lack of customer purchase behavior insights
Limited ability to identify high-value leads
Ineffective follow-up strategies for repeat sales
The solution
Customer intelligence
Purchase cadence model
Predict repeat buying windows
Identify top products
Recommend 10 per segment
Model development
Purchase cadence models
Recommendation engines
Lead scoring
Integration and testing
Real-time integration
Marketing workflows
Iterative testing
Recommend 10 per segment
Collaboration
Marketing team
Analytics partnership
Cross-channel personalization
Customer engagement
Consistent targeting across channels
Relevant recommendations to segments
Improved personalization outcomes
Sales growth
Better repeat purchase rates
Focus on high-value prospects
Higher lead-to-customer conversions
Marketing efficiency
Optimized spend on campaigns
Faster follow-up strategies
Improved lead qualification
