Groupon, Inc.

Bytedance Inc.

Angela Han

Zahra Ferdowsi

Rajesh Girish Parekh

Riva Ashley Vanderveld

Addhyan Pandey

Waigen Zhang

Embodiments provide methods, systems, apparatuses, and computer program products for predicting behavior. An example method includes determining a classification for a first consumer, where the classification is based on a measure of frequency of purchases by the first consumer; identifying one or more first attributes for the first consumer based on the determined classification, the one or more attributes being attributes selected for predicting the respective one or more metric associated with the first consumer; and determining, based on values for the one or more first attributes, a first prediction value that indicates a programmatically expected number of purchases by the first consumer.

Method, apparatus, and computer program product for predicting consumer behavior

Techniques for providing webpages based on tracking consumer device interactions are discussed herein.

Instrument system interaction tracking

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 determining a classification for a first consumer, wherein the classification is based on a measure of frequency of purchases by the first consumer; identifying one or more first attributes for the first consumer based on the determined classification, the one or more attributes being attributes selected for predicting the respective one or more metric associated with the first consumer; and determining, based on values for the one or more first attributes, a first prediction value that indicates a programmatically expected number of purchases by the first consumer.

Techniques for providing webpages based on tracking consumer device interactions are discussed herein. Some embodiments may include one or more servers configured to: receive a request for access to a promotion webpage from a consumer device, wherein the request includes a consumer device cookie and the promotion webpage includes an indication of a promotion; in response to receiving the request for access to the promotion webpage, generate the promotion webpage including widgets; generate clickstream data based on tracking widget views of the widgets within the promotion webpage; associate the clickstream data with the consumer device cookie; and generate widget analytic data based on the clickstream data. The widget analytic data may then be used to populate webpages with widgets to optimize various criteria, such as widget views or promotion purchases.

Promotional system interaction tracking

Method, apparatus, and computer program for predicting consumer behavior

Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for classifying merchants. In one embodiment a method is provided comprising determining, based on a first value, a first prediction value that indicates a programmatically expected number of consumers that will request termination of an accepted first promotion; and determining, based on the first prediction value, a classification for the first entity, the classification specifying a likelihood that the transmittal of the first promotion to consumers will result in a number of terminations less than a pre-specified threshold.

Growing community of inventors

Chicago, IL, United States of America

Angela Han