The Nielsen Comapny (us), LLC

Alexander Fragapane

Austin William Albino

Chao Wang

Jana Dodson

Sarah Macdonald

Methods, apparatus, systems, and articles of manufacture to calibrate payload information are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry. The processor circuitry is to execute the instructions to obtain (a) passive measurement data and (b) background active measurement (BAM) data from panelists in a market of interest, the BAM data associated with network usage metrics of panelist wireless devices undisturbed by panelist behavior. The processor circuitry is also to execute the instructions to assign a first share of the passive measurement data and a second share of the BAM data to particular areas within the market of interest, the first share based on a number of passive measurement occurrences in a first one of the particular areas, the second share based on a number of BAM occurrences in the first one of the particular areas. The processor circuitry is also to execute the instructions to remove a bias between the passive measurement data and the BAM data by calibrating the BAM data for the market of interest using weights determined for the first one of the particular areas based on the first and second shares.

Methods, systems, articles of manufacture and apparatus to calibrate payload information

Methods, apparatus, systems and articles of manufacture are disclosed to calibrate payload information. An example apparatus a data acquirer to obtain (a) passive measurement data and (b) background active measurement (BAM) data from panelists in a market of interest, the BAM data associated with network usage metrics of panelist wireless devices undisturbed by panelist behavior. The example apparatus further includes a share assignor to assign a first share of the passive measurement data and a second share of the BAM data to particular areas within the market of interest, the first share based on a number of passive measurement occurrences in a first one of the particular areas and the second share based on a second number of BAM occurrences in the first one of the particular areas, a weight calculator to determine weights for the first area based on the first and second shares, and a BAM calibrator to remove a bias between the passive measurement data and the BAM data by calibrating the BAM data for the market of interest using the weights.

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Daly City, CA, United States of America

Alexander Fragapane