Strategic Loyalty: How Vivre Leveraged RFM Segmentation to Achieve an 8% Campaign Lift
Implementing cross-platform communication and behavior tracking for logged users to convert potential loyalists into high-value customers.

Executive Summary
The Challenge
Vivre needed a way to analyze and communicate more effectively with its massive database across both app and web environments.
- Large number of users requiring granular segmentation for effective communication.
- Need for consistent messaging across Direct Marketing (email/push), Social Display, and Google Display.
- High churn rates observed among "Potential_Loyalist" users compared to "Loyal_Customers".
- Requirement to measure unified objectives across multiple marketing platforms.
Our Approach
We implemented a behavior-based segmentation model focusing on logged users to ensure seamless cross-device tracking and personalized engagement.
- RFM Model Implementation: Segmented the logged user database based on Recency, Frequency, and Monetary values.
- Unified Omnichannel Communication: Enabled the delivery of identical messages across Direct Marketing, Social, and Search platforms.
- Loyalty Conversion Strategy: Targeted "Potential_Loyalist" users with specific campaigns designed to convert them into "Loyal_Customers".
- Cross-Platform Tracking: Leveraged logged user data to easily follow the customer journey across all platforms and devices used.
- Advanced Data Status Monitoring: Created a system to track changes in user data statuses that standard analytics platforms could not capture.
The Results
8% Lift
from the RFM segmentation campaign
Successfull cross-platform tracking
of logged users
Higher conversion rates
achieved for the "Loyal Customers" segment
Significant reduction in potential churn
through targeted loyalty campaigns
Unified measurement of objectives
across multiple marketing platforms
Segments tracked
Champions, Potential_Loyalist, Loyal_Customers, At_Risk, About_To_Sleep, Promising, Recent_Customers, Hibernating, Lost.
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