Costing, rewards, and SEM analysis: Application to a B2C platform launch

We use optimization and analytics, within a dynamic experiment setting, to help determine a business-to-consumer matching platform transaction fees and improve customer engagement. During the course of the project, a graduate student intern will gain deeper understanding of designing and running dynamic experiments and learn more about using optimization within game-theory models. The intern will also further understand the demands of running a matching platform. The industry partner will gain insights on setting transaction fees and increasing customer engagement.

Faculty Supervisor:

Stanko Dimitrov

Student:

Wilfredo Tovar

Partner:

Procally Inc

Discipline:

Other

Sector:

Other

University:

University of Waterloo

Program:

Accelerate

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