Groupon, Inc.

Cristian Orellana

Gaston L'Huillier

Shafiq Shariff

Francisco Jose Larrain

Derek Nordquist

Amit Koren

Raju Balakrishnan

Kamson Lai

Mike Aparicio

Latife Genc-Kaya

Michael Hines

Adam Geitgey

Jadam Kahn

Natalia Corominas

Todd Webb

The method, apparatus and computer program product described herein is configured to train and deploy a predictive model that is configured to generate a predicted ROI value for a provider with respect to a current promotion or a future promotion. An example embodiment may comprise receiving input indicative of one or more attributes of a provider or a promotion. The example embodiment may further comprise generating at least one of a predicted return on investment (ROI) value or a predicted ROI component value based at least in part on the one or more attributes of the provider or the promotion and a ROI prediction model. The method may further still comprise generating a merchant impact report including the at least one of the predicted ROI value or the predicted ROI component value for the promotion.

Method and apparatus for return on investment impact reporting

The unified payment system, product and method provide an effective and efficient way to better communicate to a merchant the value of running a promotion and determine a deal structure that works for the merchant, the customer, the promotion system, or any combination thereof. The unified payment system, product and method provide real-time ROI calculations that a merchant and sales representative can collaboratively simultaneously work on to identify a deal structure for the merchant to select. In this way, the merchant and sales representative may arrive at a mutually acceptable payment plan.

Method and apparatus for payment, return on investment, and impact reporting

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Chicago, IL, United States of America

Cristian Orellana