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Predicting adoption and churn is critical to any recurring revenue business, enabling a surgical level of customer intervention and discovering the experiences that prompted the potential customer departure in the first place.
The ability to predict customer behavior and then proactively adapt the user experience to improve it for improved retention is the holy grail that many B2B businesses aspire to and is an active journey for many. With the application of data, analytics and AI, IBM is on that very journey to reduce churn, improve expansion by predicting changes in customer usage patterns.
In this interactive case study webinar, TSIA member and TSIA 2020 STAR Award Winner for Innovation, Andrew Bauer, Managing Strategy Consultant, IBM shares:
VP & Managing Director, Offers Research and Advisory, TSIA
Managing Strategy Consultant, IBM
Publish Date: January 13, 2021
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