Yieldmo, Inc.

Csc Holdings, LLC

Indu Narayan

Michael Yavonditte

David Sebag

David Cohen

Elber Carneiro

Nook Harquail

Rahul Rao

Jayashankar Kesavankutty Nair

Sergei Izrailev

Maziar Hosseinzadeh

Ari Bernstein

Nathaniel Daly

Teddy Jawde

Nisreen Al-Basha

Harsha Gorla

Robert Reimer Uy

Jason Glushakow

One variation of a method for aggregating advertisement interaction data includes: receiving a ping from a visual element loaded onto a mobile device, the ping containing: a timestamp; and a value representing a proportion of the visual element visible in a viewport at the mobile device; in response to the value exceeding a threshold value, grouping the ping with a group of pings in a ping feed, the group of pings containing a unique identifier associated with the mobile device; in response to the value falling below the threshold value, concluding an advertisement view session containing the group of pings; calculating a time spent value for visibility of advertisement content in the visual element within the advertisement view session based on timestamps of pings in the group of pings; outputting an advertisement view session packet containing the unique identifier and the time spent value to a database.

Method for in-stream aggregation of ad interaction data for a population of users viewing ad content

One variation of a method for quantifying user engagement includes: serving a digital advertisement to a mobile device; recording a first proportion of pixels of the digital advertisement rendered on a display of the mobile device during a first sampling period; recording a second proportion of pixels of the digital advertisement rendered on the display of the mobile device during a second sampling period offset in time from the first sampling period; calculating a cumulative pixel exposure of the digital advertisement at the mobile device based on a combination of a first product of the first proportion of pixels and a duration of the first sampling period and a second product of the second proportion of pixels and a duration of the second sampling period; and storing the cumulative pixel exposure as an engagement metric for a user consuming the digital advertisement at the mobile device.

Method for quantifying advertising impressions

One variation of a method for selectively serving advertising content comprises: receiving identification of an advertisement slot loaded within a webpage; receiving a set of advertisement slot characteristics corresponding to the advertisement slot; accessing a model associating advertisement slot characteristics and user interactions with advertisements; for each target outcome, in a set of target outcomes, calculating an outcome score for the advertisement slot based on the set of advertisement slot characteristics and the model, the outcome score representing a probability of the user interacting with advertising content, presented within the advertisement slot, according to the target outcome; in response to a first outcome score, corresponding to a first target outcome, in the set of target outcomes, exceeding each other outcome score, assigning the first target outcome to the advertisement slot; and selecting a first advertisement, designating the first target outcome, for presentation within the advertisement slot.

Method for modeling digital advertisement consumption

The present disclosure describes a dynamic optimization of delivery of one or more advertising messages of an advertising campaign. The various apparatuses and methods disclosed herein deliver the one or more advertising messages to a targeted audience of the advertising campaign. Thereafter, these apparatuses and methods monitor exposure of the targeted audience to the one or more advertising messages to generate an advertisement exposure list. This list can include members of the targeted audience that have not been exposed to the one or more advertising messages, members of the targeted audience that have been exposed to the one or more advertising messages less than an optimal frequency of exposure, and/or members of the targeted audience that have been exposed to the one or more advertising messages greater than or equal to the optimal frequency of exposure. Finally, these apparatuses and methods optimize the delivery of the one or more advertising messages to the members of the targeted audience that have not been exposed to the one or more advertising messages and/or the members of the targeted audience that have been exposed to the one or more advertising messages less than the optimal frequency of exposure as indicated in the advertisement exposure list when the one or more advertising messages fail to reach the members of the targeted audience that have not been exposed to the one or more advertising messages and/or are exposed to the one or more advertising messages less than the optimal frequency of exposure.

Dynamic optimization of advertising campaigns

Growing community of inventors

New York, NY, United States of America

Indu Narayan