The Nielsen Comapny (us), LLC

William Deshong

Stephen S Bell

Jonathon Wells

Behiye Karayaka

David J Kurzynski

Denis Voytenko

Joshua T Deragon

Brett Gebhardt

Horalia Armas

Methods, apparatus, systems, and articles of manufacture to determine an additive reach adjustment factor for audience measurement are disclosed. An example apparatus for additive reach adjustment includes at least one memory, machine readable instructions, and processor circuitry to execute the machine readable instructions to identify a first probability, the first probability associated with a population tuning to a marketing campaign, the tuning including missing data, identify a second probability, the second probability associated with the population not tuning to the marketing campaign or the tuning including missing data, determine an additive reach adjustment based on a compound probability and a no-tuning probability, the compound probability and the no-tuning probability determined using the first probability and the second probability, and credit a population exposed to the marketing campaign to include missing impressions based on the additive reach adjustment.

Methods and apparatus to determine additive reach adjustment factors for audience measurement

Example methods, apparatus, systems and articles of manufacture to implement calibration of convenience panel data to reduce behavioral bias are disclosed. Disclosed example apparatus include a distribution estimator to determine a first behavioral distribution for first convenience panel data associated with a first market and a measurement period, determine a second behavioral distribution for second convenience panel data associated with a second market and the measurement period, and determine a third behavioral distribution for probabilistic panel data associated with the second market and the measurement period. Disclosed example apparatus also include a distribution calibrator to calibrate the first behavioral distribution determined for the first convenience panel data associated with the first market based on (i) the second behavioral distribution determined for the second convenience panel data associated with the second market and (ii) the third behavioral distribution determined for the probabilistic panel data associated with the second market.

Multi-market calibration of convenience panel data to reduce behavioral biases

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Baltimore, MD, United States of America

William Deshong