Analysis & Measurement of Promotion Effectiveness

Analysis and measurement of promotion effectiveness on a given target variable (e.g. daily sales). After converting promotion schedule into dummy or smoothed predictor variables, the package estimates the effects of these variables controlled for trend/periodicity/structural change using prophet by Taylor and Letham (2017) and some prespecified variables (e.g. start of a month).


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Reference manual

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install.packages("promotionImpact")

0.1.2 by Nahyun Kim, 6 months ago


https://github.com/ncsoft/promotionImpact


Browse source code at https://github.com/cran/promotionImpact


Authors: Nahyun Kim [cre, aut] , Hyemin Um [aut] , Eunjo Lee [aut] , NCSOFT Corporation [cph]


Documentation:   PDF Manual  


BSD_3_clause + file LICENSE license


Imports KernSmooth, data.table, ggpubr, reshape2, stringr, strucchange, lmtest, crayon, prophet

Depends on Rcpp, dplyr, ggplot2, scales


See at CRAN