Walmart Apollo, LLC

Girish Natarajan

Shankara Bhargava Subramanya

Madhusudan Mathihalli

Guoxun Yuan

Feng Guo

Jagannath Putrevu

Chris Bolte

Junhao Jiang

Venkata Pranay Kumar Sowdaboina

Chintan Jagdish Rita

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more computer processors and perform configuring one or more advertisements for a sponsored product customized to fit a page type associated with a page format of a website; analyzing one or more inputs to create merged data; generating a respective rank of the advertisements of the sponsored product using a conversion probability; adjusting the respective rank the one or more advertisements of the sponsored product as a function of the merged data; automatically designating one of the one or more advertisements of the sponsored product that is ranked higher than other advertisements to be positioned closest to a predefined portion of a webpage; and sending instructions to display the one of the one or more advertisements closest to the predefined portion of the webpage of the website. Other embodiments are disclosed.

System for page type based advertisement matching for sponsored product listings on e-commerce websites and method of using same

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of creating a unique identification (UID) for an online advertisement for an item available for sale from an online retailer, publishing the online advertisement with the UID for the item in an online medium of the online retailer, receiving a user selection of the online advertisement with the UID, coordinating displaying a landing webpage for the item from the online retailer on an interface of the user electronic device, recording the user selection of the online advertisement with the UID in an event log, and extracting the UID from the event log to track clicks of the online advertisement when published.

Systems and methods for distributing online advertisements

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of collecting training attribute values for a set of attributes; generating a probability model using the training attribute values, the probability model providing predicted outcomes for at least one attribute in the set of attributes; identifying, using the probability model, a first predicted outcome corresponding to a subsequent combination of attribute values collected by a collection module, wherein the predicted outcomes can comprise the first predicted outcome; coordinating a first display of an ad content version of a subsequent webpage when the first predicted outcome satisfies an objective of the subsequent webpage, wherein the first display can comprise: (a) an ad at a first location on the subsequent webpage and a webpage content in a first format at a second location on the subsequent webpage; or (b) the ad at a third location on the subsequent webpage and the webpage content in a second format at a fourth location on the subsequent webpage; and coordinating a second display of an ad-free version of the subsequent webpage when the first predicted outcome does not satisfy the objective of the subsequent webpage. Other embodiments are disclosed herein.

Management of the display of online ad content consistent with one or more performance objectives for a webpage and/or website

A system and method includes receiving, by a computer system, one or more inputs of customer level information, advertisement page and page type level information, item level information, inventory constraints, competitor pricing, and seasonal requirements/rules, merging, by the computer system, the one or more inputs, receiving, by the computer system including a module selection and ranking engine, the merged data, and providing, by the computer system, output of one or more advertisements of sponsored product listings to a user device of a consumer for display.

Systems and methods are disclosed for managing the display of online ad content consistent with one or more e-commerce objectives. A collection module may be operable to collect attribute values for a set of attributes characterizing user visits to a set of training webpages and subsequent attribute values for a subsequent user visit to a subsequent webpage. A model-generation module may be operable to train a probability model with the attribute values that predicts outcomes for at least one performance metric. A display module may be operable to determine whether to display ad content on the subsequent webpage for the subsequent user visit depending on whether a predicted outcome from the probability model that is relevant to the subsequent attribute values is consistent with one or more e-commerce objectives. The probability model may be a decision tree with different predicted outcomes for different combinations of attribute values.

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Fremont, CA, United States of America

Girish Natarajan