Groupon, Inc.

Bytedance Inc.

Michael Hines

Shafiq Shariff

Derek Nordquist

Mike Aparicio

Jadam Kahn

Jesse Pinho

Jim Challenger

Todd Webb

David Hanley

Isaac Sanders

Dean Marano

Michael Gideon Sussman

Gaston L'Huillier

Francisco Jose Larrain

Amit Koren

Raju Balakrishnan

Kamson Lai

Latife Genc-Kaya

Adam Geitgey

Natalia Corominas

Cristian Orellana

Michael Sussman

Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising automatically creating a link graph comprising nodes representing webpages, links representing hyperlinks, and weights for each link representing a number of times a hyperlink associated with the respective link redirected the a user devices from a webpage associated with a first node connected to the link to a webpage associated with a second node connected to the link; and determining based on the link graph a programmatically expected path for a particular user, wherein the programmatically expected path identifies, at least, two or more webpages that the particular user is programmatically expected to visit and specifying a programmatically expected order at which the particular user will visit the webpages.

Method, apparatus, and computer program product for predicting web browsing behaviors of consumers

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.

Unified payment and return on investment system

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

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

Growing community of inventors

Chicago, IL, United States of America

Michael Hines