Keytrade Bank: Customer 360 & advanced segmentation
Python
Keytrade Bank is a Belgian online bank, part of the Arkea group. Keytrade Bank is a pioneer in online banking in Belgium that started with a focus on online trading on world markets, but now offers a wide range of financial products and services tailored for individuals who prefer to manage their finances independently.
The challenge
Keytrade Bank sought to refine its approach to customer engagement, focusing on delivering more value through its diverse product portfolio.
The various segmentation and targeting strategies in place lacked the granularity needed for a comprehensive 360-degree view.
Concrete challenges included:
- enhancing the precision of client segmentation
- effectively identifying and addressing customer needs
- significantly improving the overall customer experience
The solution should dynamically adapt to individual customer needs & drive growth through a personalized marketing approach.
Our solution
Implementation of an extensive suite of analytical tools and models:
- Customer 360 as data model that combines & aggregates data from different sources into a central model
- Building on these metrics, we developed a Customer Segmentation framework that categorizes Keytrade Banks clients into distinct groups for more targeted marketing efforts
- A Propensity-to-Buy Model that predicts which products are likely to be of interest to different segments
The business value
A foundational Datamodel centered around the customer that can be easily leveraged for new customer engagement initiatives.
More accurate & up-to-date customer segmentation that allows a more personalized marketing approach. This benefits both Keytrade Bank (cost) as their customers (relevancy).
Increased insights in up- & cross-sell potential by combining segmentation & buying behaviour.
This comprehensive strategy allows Keytrade to optimally serve its clients, maximizing overall customer satisfaction and loyalty while driving sustainable growth.
