Full metadata
Title
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
2014-05
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)
Topical Subject
Resource Type
Extent
46 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2013-2014
Handle
https://hdl.handle.net/2286/R.I.23258
Level of coding
minimal
Cataloging Standards
System Created
- 2017-10-30 02:50:57
System Modified
- 2021-08-11 04:09:57
- 3 years 2 months ago
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