Forecasting and the Role of Churn in Software-as-a-Service Business Models

DOI: 10.4236/ib.2013.51A006   PDF   HTML   XML   6,271 Downloads   9,730 Views   Citations

Abstract

This article demonstrates a revenue forecasting model for Software-as-a-Service (SaaS) business models. Due to the highly predictable nature of subscriptions, a SaaS business can often project future revenue on the basis of a few key metrics. However, understanding and predicting the churn rate of the subscription base is critical to successful projections. The authors explain SaaS churn and demonstrate the use of critical variables in a predictive SaaS revenue model. The model allows a business to project future revenues based on historical and expected customer subscription behavior. The methodology combines research with the experience of a senior executive in a SaaS-driven business to build the predictive platform.

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A. Sukow and R. Grant, "Forecasting and the Role of Churn in Software-as-a-Service Business Models," iBusiness, Vol. 5 No. 1A, 2013, pp. 49-57. doi: 10.4236/ib.2013.51A006.

Conflicts of Interest

The authors declare no conflicts of interest.

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