Segmentation
Unlocking Growth through Advanced Customer Segmentation
Overview
We partnered with a leading international rail operator to deliver a large-scale customer segmentation programme designed to deepen understanding of traveller behaviours, attitudes, and commercial value. By combining transactional, behavioural, and attitudinal data, the study created a strategic segmentation framework to support targeting, proposition development, personalisation, and long-term growth.
Client Challenge
The client wanted to move beyond transactional reporting to develop a richer understanding of its customer base. The business needed a scalable segmentation model capable of identifying high-value audiences, differentiating travel motivations and behaviours, and supporting more effective targeting across leisure, business, and visiting friends and relatives (VFR) audiences. A key requirement was ensuring the segmentation could be mapped back onto the wider customer database and operational systems.
Our Approach
We combined six years of transactional booking data with extensive customer survey research and third-party enrichment datasets to build a multi-dimensional segmentation solution. The programme analysed more than 66 million transactional records and over 25 million bookings, alongside large-scale behavioural and attitudinal research. Advanced statistical techniques, including clustering, factor analysis, and predictive modelling, were used to identify and profile distinct customer groups based on travel behaviours, booking patterns, lifestyle attitudes, and commercial value.
Insight Delivered
The research identified clearly differentiated customer segments spanning both leisure and business audiences, revealing distinct motivations, booking behaviours, travel preferences, and commercial opportunities. It highlighted significant differences in customer value, channel usage, class preferences, and attitudes toward price, sustainability, technology, and experiences.
Outcome
The final segmentation became a strategic customer framework for the business, supporting commercial planning, CRM strategy, proposition development, and personalisation initiatives. It also enabled more consistent, insight-led targeting across marketing and customer experience activity, helping the client prioritise growth opportunities and improve the effectiveness of customer engagement.