Patent ID: 8818841

Claim:
A method, comprising: generating a dependent canonical weight coefficient, an independent canonical weight coefficient, and a regression coefficient based on in-person-based shopper count data collected by a person located in a second establishment, and sensor-based shopper count data collected using an electronic detector in the second establishment, the dependent canonical weight coefficient to transform shopper count data to generate a shopper traffic variate, the independent canonical weight coefficient to transform sales data to generate a sales variate, and the regression coefficient to reduce an amount of error in a best-fit correlation between the shopper traffic variate and the sales variate; using sales data of a first establishment in which shopper counts are not collected to predict a shopper traffic count based on the dependent canonical weight coefficient, the independent canonical weight coefficient, and the regression coefficient; receiving information media data indicative of one or more marketing campaigns; and determining, via a processor, an influential effect of the one or more marketing campaigns on the predicted shopper traffic count in the first establishment.