METHODS AND APPARATUS FOR CAMPAIGN MAPPING FOR TOTAL AUDIENCE MEASUREMENT

Example methods and apparatus disclosed herein include campaign mapping for total audience measurement. An example apparatus includes a machine learning engine to predict sets of estimated duplication factors that represent duplicated media exposure across different possible combinations of media platforms for respective ones of a plurality of reference media campaigns, apply an input set of total exposure metrics associated with respective individual ones of the media platforms for a query media campaign to predict a first set of estimated duplication factors for the different possible combinations of media platforms for the query media campaign; identify a first one of the set of reference media campaigns to represent the query media campaign; and estimate a second set of estimated duplication factors for the query media campaign based on the set of estimated duplication factors for the first one of the set of reference media campaigns and the input set of total exposure metrics for the query media campaign.