LONDON–(BUSINESS WIRE)–Customer segmentation has been an age-old issue for businesses globally. Though new customer segmentation models have helped serve the purpose, it tends to miss certain aspects that make it unreliable in the long run. Quantzig has an extensive team that comprises data scientists and advanced customer analytics experts who focus on data analysis and implement analytics approaches to tackle challenges like these. The cross-functional teams work closely with businesses to help them deal with large real-world databases and identify various risk factors and analyze factors that impact outcomes. Quantzig also has the expertise in offering a wide range of customer segmentation analytics solutions that can help tackle a plethora of challenges faced by companies in the retail, F&B, CPG, and BFSI sectors.
Quantzig’s approach to customer segmentation combines the application of dynamic micro-segmentation and predictive modeling techniques to accurately forecast customer value based on their purchase history,