
Global travel assistance company
Customer lifetime value model for data-driven decision-making
We developed an AI-powered Customer Lifetime Value (CLV) model to unify customer insights, optimize segmentation, and enhance marketing and customer engagement strategies.
- Capabilities
- Published
- July 2026
The Challenge
The company needed to better understand the long-term value of its customers and establish a unified Customer Lifetime Value (CLV) framework across the organization. Without a single view of customer value, it was difficult to optimize marketing campaigns, personalize customer interactions, and improve the performance of business channels such as branch offices, telemarketing, and customer service operations.
The Solution
Baufest designed and implemented a Customer Analytics solution powered by predictive analytics and machine learning to estimate the future value of each customer.
The project began with collaborative workshops involving key business stakeholders to define customer personas and map customer journeys. After assessing data quality, Baufest developed predictive models using machine learning and statistical techniques to calculate Customer Lifetime Value and identify customer behavior patterns. The solution delivered a unified customer view and actionable insights, enabling data-driven decisions across marketing, sales, and customer service.
Benefits
- Established a unified Customer Lifetime Value (CLV) framework across the organization.
- Improved understanding of customer behavior and long-term value.
- Optimized customer segmentation and marketing strategies.
- Identified the key factors driving future customer value and purchase frequency.
- Enabled more personalized campaigns and better allocation of marketing investments.
- Empowered business teams with actionable insights to improve customer engagement across all channels.
