TY - JOUR
AU - Rajeswari, P S
AB - Amazon Prime, launched in 2005, is a subscription membership program that offers benefits like accelerated shipping, streaming media access, exclusive shopping discounts, and premium services. With over 200 million subscribers worldwide by 2023, it has significantly enhanced Amazon’s revenue and customer loyalty. To mitigate Amazon Prime subscription lapses, Amazon uses AI-driven personalization strategies and targeted re-engagement campaigns. Amazon Prime lapsers are influenced by factors such as price sensitivity, subscription fatigue, underutilization of benefits, seasonal shopping, competitive alternatives, and service dissatisfaction. To re-engage lapsed Prime subscribers, Amazon employs a data-driven personalization strategy leveraging AI, machine learning, and customer analytics. This includes personalized marketing techniques, content curation, regional customization, and continuous feedback analysis. Amazon’s personalization strategy is expected to evolve as technology advances, focussing on advanced AI, real-time personalization, and ethical data management. This will enhance customer retention and engagement while shaping the future of subscription-based services like Amazon Prime. Key future trends include advanced AI and predictive analytics, hyper-personalization and real-time adjustments, ethical personalization and privacy compliance, and sustainability in subscription engagement. By continuously evolving AI-powered recommendations, dynamic offers, and user-driven customization, Amazon will solidify its competitive edge in the subscription economy while maintaining consumer trust and environmental responsibility. This case study aims to explore Amazon’s AI-based personalization strategies for re-engaging with inactive Prime subscribers. It examines customer retention strategies, predictive analytics, localized personalization, ethical implications, and emerging trends that provide insights into enhancing subscription loyalty and customer lifetime value.
TI - A case study on how Amazon uses personalization to win back Prime subscription lapsers
JF - Journal of Information Technology Teaching Cases
DO - 10.1177/20438869251325244
DA - 2025-01-01
UR - https://www.deepdyve.com/lp/sage/a-case-study-on-how-amazon-uses-personalization-to-win-back-prime-gEID6FTaDr
VL - OnlineFirst
IS - 
DP - DeepDyve
ER -