Catalina Marketing Corporation

Benjamin S Sprecher

Zubin Singh

Kirk Dikun

Tony Mou

Ankur Agarwal

Mykola Markov

Kevin Edward Hunter

Joshua Herzig-Marx

Mark Bees

A method, including receiving, from a consumer, a client device identification though an application running in a client device, is provided. The method includes matching the client device identification with a loyalty card for a retail store, identifying a shopping history for consumer, associated with the retail store, in a database, based on the loyalty card, and requesting, through the application, an information from consumer, based on the shopping history. The method further includes verifying the identity of consumer when at least a portion of the information matches the shopping history associated with the retail store, for consumer, and providing an offer to consumer, through the application running in the client device, of a product in the retail store. A system and a non-transitory, computer readable medium storing instructions to perform the above method are also provided.

Identifying consumers online for providing offers and coupon validation online, in real-time, and at the point of sale

A method including retrieving a product information from a database is provided. The method includes associating the product information with multiple classification values, forming a vector associated with a consumer product. The classification values form coordinates of the vector in a vector space that comprises multiple vectors associated with multiple consumer products. The method includes determining a cluster in the vector space, including at least one vector selected according to a relative distance within a cluster boundary. The method includes selecting a discriminator vector from a vector difference between a first vector in a first cluster in the vector space and a second vector in a second cluster in the vector space and identifying a new consumer product associated with a new vector that is formed by adding the discriminator vector to a third vector from the vector space, the third vector associated with a known consumer product.

Machine learning for marketing of branded consumer products

A method including receiving a digital promotion payload from a brand manufacturer for at least one branded consumer packaged good, the digital promotion payload including a digital promotion value associated with the branded consumer packaged good, is provided. The method includes receiving a bid request to the digital promotion engine, providing a bid response to the bid request, the bid response including the digital promotion payload, and receiving, from the supply side platform, a confirmation that the bid response has been selected from one or more bids from different digital advertising entities. The method includes providing a command to the supply side platform to deliver the digital promotion payload to a mobile device accessing a resource from the mobile display publisher, and loading the digital promotion value to a frequent shopper identification in response to a consumer interaction with the digital promotion payload detected from the mobile device.

Offer personalization engine for targeted marketing of branded consumer packaged goods

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Waban, MA, United States of America

Benjamin S Sprecher