The Nielsen Comapny (us), LLC

The Nielson Company, LLC

Albert T Borawski

Daniel John Nelson

James Petro

Sandeep Tapse

Brian Fuhrer

Kevin K Gaynor

Alan Nguyen Bosworth

Scott Cooper

Vinay Chauhan

Stephen S Bell

Oana Dan

Molly Poppie

David J Kurzynski

Balachander Shankar

Paul Donato

Joseph Gregory Milavsky

John Charles Coughlin

Marie Kramer

Jason Olmsted

Benjamin Wood

Satish Kumar Kukunuru

Geetanjali Arya

Kevin Rini

Shailendra Paranjape

Joseph Wyatt Brewer

Nigel Smith

Jill J Jones

David Christie

Morgan Nibert

Jessica Salazar

John Ferrell

Eric M Rosell

Daniel A Nelson

Methods, apparatus, systems, and articles of manufacture are disclosed that determine a penetration and a churn of a streaming service. Example apparatus disclosed herein includes processor circuitry to instantiate at least interval determination circuitry to determine an interval between the first tuning event and the second tuning event, the first and second tuning events corresponding to streaming of media in a first household using the streaming service via a media device, characterization circuitry to characterize a status of the first household as subscribed when the interval satisfies a threshold, aggregation circuitry to aggregate statuses of households over a time period, the households including the first household, and penetration determination circuitry to generate first analytical data based on a number of subscribed statuses per a total number of households at a timestamp, the timestamp within the time period.

Methods, apparatus, and articles of manufacture to determine penetration and churn of streaming services

Methods, apparatus, systems and articles of manufacture to perform media device asset qualification are disclosed. An example apparatus includes at least one memory, and at least one processor to execute instructions to at least identify a first set of candidate media device assets for disqualification, the candidate media device assets including A) a signature and B) a media identifier that identifies media, generate a hash table using a second set of the candidate media device assets, determine one or more counts of matches between C) a first signature and a first media identifier of a first candidate media device asset of the second set and D) respective signatures and media identifiers of multiple ones of the second set using the hash table, the multiple ones of the second set not including the first candidate media device asset, and load the first signature into a reference database as a reference signature.

Methods and apparatus to perform media device asset qualification

Methods, apparatus, systems, and articles of manufacture to identify an episode number based on fingerprint and matched viewing information are disclosed. An example method includes processing meter data to identify a presented media based on a bumper included in a media, filtering the meter data based on the identification of the media, selecting a candidate episode, the candidate episode not associated with a known episode label, determining whether the candidate episode appears sequentially after a known episode for a threshold number of presentation locations, and labeling the candidate episode as the next sequential episode after the known episode in response to determining that the candidate episode appears sequentially after the known episode for the threshold number of presentation locations.

Methods and apparatus to identify an episode number based on fingerprint and matched viewing information

Methods, apparatus, systems, and articles of manufacture to generate reference signature assets from meter signatures are disclosed. Example apparatus disclosed herein include a signature comparator to compare meter signature strings with search signature strings to identify a first fragment match result, which is associated with a sequence position within a first media represented by the search signature strings included in the first fragment match result, and which is also associated with a length of the first media. Disclosed example apparatus also include candidate signature asset generation circuitry to generate a candidate signature asset from a meter signature sequence based on the sequence position and the length of the first media, and store the candidate signature asset in a candidate pool associated with the first media. Disclosed example apparatus further include reference signature asset identification circuitry to identify a reference signature asset from the candidate pool to represent the first media.

Methods and apparatus to generate reference signature assets from meter signatures

Methods, apparatus, systems, and articles of manufacture are disclosed to automate the recording of media for signature creation. Reference signature requests are received from an employee or user. The reference signature request is distributed to automated capture tool circuitry, which plays the relevant media for a meter and provides a status update. When a signature is created, a status update indicates whether it is considered to be a reference signature. Prioritization circuitry assigns and updates a priority for each of the requests according to the priority of other requests, the status updates, and a priority rule set. Reference signature requests with the highest priority are assigned to automated capture tool circuitry for completion before lower priority requests.

Methods and apparatus to automate the recording of media for signature creation

Methods, apparatus, systems, and articles of manufacture to create a reference signature asset from matched signature fragments are disclosed. Example apparatus disclosed herein form a group of matched signature fragments corresponding to a same piece of media. Disclosed example apparatus also select a subset of matched signature fragments from the group to form a path of matched signature fragments that collectively represent a continuous segment of the piece of media, the continuous segment identified by a segment start time and a segment end time, the segment start time corresponding to a fragment start time associated with an initial matched signature fragment in the path, and the segment end time corresponding to a fragment end time associated with a last matched signature fragment in the path. Disclosed example apparatus further use the path to combine the subset of matched signature fragments and create a new reference signature asset.

Methods and apparatus to create candidate reference signatures from signature fragments

Methods and apparatus to generate reference signatures are disclosed. An example method includes collecting a first signature for media being presented to a plurality of households; crediting the media when the first signature matches a reference signature in a reference signature database; in response to determining that the first signature does not match a reference signature in the reference signature database and the first signature does not match an unidentified signature in an unknown signature database, storing the first signature in the unknown signature database; in response to determining that a second signature does not match the reference signature in the reference signature database and the second signature matches the unidentified signature in the unknown signature database, and increasing a count associated with the unidentified signature.

Methods and apparatus to generate reference signatures

Methods, apparatus, systems and articles of manufacture to identify media sources are disclosed. Example apparatus disclosed herein include an exclusivity determiner, a unique asset identifier, and a signature matcher. The exclusivity determiner is to determine whether media is exclusive to a provider. The unique asset identifier is to associate a first signature of the media with the provider if the media is exclusive to the provider. The signature matcher is to identify the provider based on a second signature, the second signature matching the first signature, the second signature extracted from media presented at a media presentation location.

Methods and apparatus to identify streaming media sources

Methods and apparatus to monitor media presentations are disclosed. Disclosed example apparatus include memory, instructions, and at least one processor to execute the instructions to at least receive demographic information from a user, transmit the demographic information to a central facility, cause storage of a consent identifier in a pasteboard of the media device, the consent identifier accessible to a first instrumented application and a second instrumented application executed in a sandbox environment, the consent identifier to indicate to the first instrumented application and the second instrumented application that monitoring is allowed, access the consent identifier from the pasteboard, present media, generate monitoring information if the consent identifier permits collection of monitoring information, not generate monitoring information if the consent identifier does not permit the collection of the monitoring information, and transmit the monitoring information to the central facility.

Methods and apparatus to monitor media presentations

Methods and apparatus to synthesize reference media signatures based on constituent media signatures generated by metered media devices are disclosed. An example apparatus includes a collector to collect first constituent media signatures from a first media device that identify a first portion of media, a collector to collect second constituent media signatures from a second media device that identify a second portion of the media, and a synthesizer to combine the first constituent media signatures from the first media device and the second constituent media signatures from the second media device to form a reference media signature that represents the media, the reference media signature for comparison with third constituent media signatures collected from a third media device to detect consumption of the media at the third media device.

Methods and apparatus to synthesize reference media signatures

Methods and apparatus are disclosed to identify users associated with device application usage. A disclosed example method involves obtaining demographics of persons to participate in a panel for an audience research study, identifying a set of applications to be monitored, providing devices associated with the persons in the panel with a meter to record usage of the applications and with a user-to-application associator, the user-to-application associator to define associations between the applications to be monitored and the persons associate with the device before the applications are launched, receiving data from a first one of the devices identifying a first one of the persons as a primary user of a first one of the applications in the set of applications, receiving data from the first device identifying usage of the first application, and associating the demographics of the first person with the usage of the first application.

Methods and apparatus to identify users associated with device application usage

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Oldsmar, FL, United States of America

Albert T Borawski