Abstract
Understanding the value of acquiring or retaining subscribers is crucial for subscription-based businesses. While customer lifetime value (LTV) is commonly used to do so, we demonstrate that LTV likely over-states the true value of acquisition or retention. We establish a methodology to estimate the monetary value of acquired or retained subscribers based on estimating both on and off-service LTV. To overcome the lack of data on off-service households, we use an approach based on Markov chains that recovers off-service LTV from minimal data on non-subscriber transitions. Furthermore, we demonstrate how the methodology can be used to (i) forecast aggregate subscriber numbers that respect both aggregate market constraints and account-level dynamics, (ii) estimate the impact of price changes on revenue and subscription growth and (iii) provide optimal policies, such as price discounting, that maximize expected lifetime revenue.
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CITATION STYLE
Badri, H., & Tran, A. (2022). Beyond Customer Lifetime Valuation: Measuring the Value of Acquisition and Retention for Subscription Services. In WWW 2022 - Proceedings of the ACM Web Conference 2022 (pp. 132–140). Association for Computing Machinery, Inc. https://doi.org/10.1145/3485447.3512058
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