Automated Price Optimization Strategy of Software-as-a-Service Company using Adaptive A/B Testing
Description
The thesis will study price optimization techniques, SaaS industry pricing structures, A/B testing, and then build a unique framework to optimize price and maximize revenue. The ultimate goal of the thesis research is to create a framework that identifies the best pricing structure and price points for a SaaS company.
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2014-05
Agent
- Author (aut): Ryu, Kibaek
- Thesis director: Clark, Joseph
- Committee member: Granberry, Chase
- Contributor (ctb): Barrett, The Honors College
- Contributor (ctb): Department of Finance
- Contributor (ctb): Department of Information Systems