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.
Details
Title
- Automated Price Optimization Strategy of Software-as-a-Service Company using Adaptive A/B Testing
Contributors
- Ryu, Kibaek (Author)
- Clark, Joseph (Thesis director)
- Granberry, Chase (Committee member)
- Barrett, The Honors College (Contributor)
- Department of Finance (Contributor)
- Department of Information Systems (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2014-05
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