The Nielsen Comapny (us), LLC

Marie Kramer

Brian Fuhrer

Molly Poppie

David J Kurzynski

Albert T Borawski

Balachander Shankar

Paul Donato

Joseph Gregory Milavsky

John Charles Coughlin

Benjamin Wood

Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement flexible commercial monitoring for television audience measurement are disclosed. Example television audience measurement systems disclosed herein include a flexible commercial detector to detect whether a first watermark decoded from a television program broadcast signal is a bridge watermark that indicates a portion of the television broadcast signal including the bridge watermark is associated with a flexible commercial insertion event, the flexible commercial insertion event corresponding to insertion of a flexible commercial in the portion of the television broadcast signal. Disclosed example television audience measurement systems also include a commercial metric calculator to credit audience exposure associated with the portion of the television broadcast signal to a flexible commercial crediting metric in response to a determination that the first watermark is the bridge watermark.

Flexible commercial monitoring

Methods, apparatus, systems and articles of manufacture are disclosed to calculate video-on-demand and dynamically inserted advertisement viewing probability. An example apparatus disclosed herein includes a category manager to identify a targeting strategy for advertisements associated with media presented in a first set of households and a second set of households, a probability engine to calculate a baseline viewing probability for a non-time shifted presentation of the media in the first set of households and the second set of households, and in response to identifying presentations of the media having a subsequent temporal sequence from the non-time shifted presentation, calculate corresponding time-shifted viewing probabilities of the media for the first set of households and the second set of households, and an imputation engine to generate viewing probability trend information of the media for the first set of households and the second set of households, the viewing probability trend information based on the respective time-shifted viewing probabilities, and adjust the targeting strategy to reduce wasteful targeting of the advertisements, the adjustment to select one of the first set of households or the second set of households to insert the advertisements based on the viewing probability trend information.

Methods and apparatus to calculate video-on-demand and dynamically inserted advertisement viewing probability

Methods, apparatus, systems and articles of manufacture are disclosed to calculate video-on-demand viewing probability. Example methods disclosed herein include identifying a first set of households associated with a target set of categories that presented a first media having a first telecast delay, calculating first total tuning minutes and first total exposure minutes for the first set of households, identifying a second set of households that presented the first media having the first telecast delay and having a portion of the target set of categories, the second set of households having second total tuning minutes and second total exposure minutes for each category in the second set of households, calculating a household tuning proportion based on the first and second total tuning minutes, and calculating a household exposure proportion based on the first and second total exposure minutes, and calculating the panelist viewing probability associated with the first telecast delay based on a ratio of the household exposure proportion and the household tuning proportion.

Growing community of inventors

Tarpon Springs, FL, United States of America

Marie Kramer