Abstract: System and method for generating promotion data for at least one product are disclosed. The method comprises receiving input data from a plurality of data sources and identifying training data by analyzing the input data based on several linearity factors. The method further comprises creating a plurality of feature sets based on the training data and selecting an optimized feature set from the plurality of feature based on a regression model. The method further comprises ascertaining an uplift model for each of the at least one product based on the optimized feature set and determining a baseline volume and a predictive volume based on the uplift model. The method further comprises determining an uplift volume for each of the at least one product based on the baseline volume and the predictive volume. The method further comprises generating the promotion data based on promotional expenditure data and the uplift volume.