Predictive CLV & Customer Retention Analytics Platform
A success story of digital transformation and measurable business impact
Impact at a Glance
Key results achieved through this project
The Challenge
A consumer finance and BNPL provider was losing high-value customers at an unacceptable rate with no early warning signals in place. Broad, generic retention campaigns delivered poor ROI, the product team lacked behavioral data for feature prioritization, and without visibility into CLV and churn risk the company could not efficiently allocate retention budget or personalize product offerings.
Our Solution
Praxysai.com and Zoronal developed an integrated suite of predictive analytics models: a CLV scoring model based on transaction frequency, repayment behavior, and product engagement; a churn prediction engine with configurable early-warning thresholds; behavioral segmentation enabling targeted retention campaigns; a personalization API connecting CLV scores with the product recommendation engine; and an executive KPI dashboard for real-time retention monitoring.
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