Karthik Rajagopalan’s company blog explains how machine learning models can facilitate a deeper understanding of the drivers of churn, leading to better solutions that can help customer retention for subscription businesses.
Subscriptions have been around for a very long time. Having come a long way from the hire-for-purchase model introduced by the Singer sewing machine company, the past few decades saw the emergence of memberships in retail, health clubs, and monthly subscriptions to services like telephone and cable television. More recently, the recurring revenue model has been pushed forward by e-commerce and software-as-a-service (SaaS) businesses with the introduction of services for streaming media, connected home, connected car, gaming, etc. According to the Subscription economy index (SEI), the subscription economy has grown by nearly 300% over the last 7 years and is also increasingly correlated with traditional economy, a significant yet not so surprising development.
Topics covered in this article include:
-Churn model
-Churn rate
-Customer longterm value
-Promotion campaigns
Read the full article, AI augmented retention program is a must for subscription businesses, on the Paramis Digital website.
