Smart Customer Segmentation
F&B Brand · Food & Beverage
Developed ML models for automated customer segmentation, enabling precision marketing campaigns.
! Le défi
The F&B brand was spending significant marketing budget sending the same campaigns to all customers, resulting in low ROI and high unsubscribe rates.
→ Notre solution
Built an ML pipeline segmenting customers into 12 micro-groups based on behavior, preferences, and purchase frequency, coupled with automated A/B testing.
✓ Résultats
- 28% reduction in Customer Acquisition Cost
- 42% increase in campaign conversion rate
- 55% decrease in unsubscribe rate
- Email open rate improved from 12% to 31%
Stack technique
Durée
3 months
Résultat clé
28% lower CAC, 42% higher conversion
Tags
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