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Customer lifecycle segmentation
Employ RFM analysis to segment customers based on their purchase behavior and target them accordingly.
For:
Marketing specialist
Automated segmentation
Automatically group customers based on their purchase behavior using RFM models.
Real-time updates
Customer segments are updated in real-time with each new interaction or purchase.
Enhanced targeting
Create highly targeted marketing campaigns tailored to each customer segment.
Increased retention
Improve customer retention by identifying and re-engaging customers who are at risk of churning.
How it works
- Define and create events for RFM analysis
- Set up event conditions
- Build the RFM model
- Create segments based on RFM scores
- Set up personalized journeys
- Multiple journeys for different segments
- Deploy personalizations
- Track performance with journey analytics
- Track performance with personalization analytics
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Features used
Metrics that move
- Increase in customer retention rate
- Enhanced segmentation accuracy
- Improved customer lifetime value (CLV)
- Higher engagement rates through personalized marketing
- More effective targeting in marketing campaigns
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Guides - get started
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CONTACt US:
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