Impetus
36 Case Studies
A Impetus Case Study
A Fortune 100 payment card company sought to revolutionize its customer engagement by leveraging real-time analytics on credit card data. Their challenge was to deliver personalized offers, manage thousands of global campaigns, and adapt to customer preferences instantly. To achieve this, they partnered with Impetus to build an advanced enterprise eligibility platform.
Impetus implemented a solution using Apache Spark, Kafka, and machine learning models like CatBoost for real-time data processing and predictive analytics. This enabled the delivery of highly relevant offers across multiple channels. The results were significant, including 2M+ spend activations in a year, $250M in generated revenue, and a 10x improvement in batch processing speed. The platform also maintained 99.995% availability while serving 160+ vendors and 11K+ campaigns annually.
Fortune 100 Payment Card Company