forecasting data contain information on demand, sales, supply, POS data, advertisiment expenditure and different impressions recorded across multiple channels for calculating the advertising campaign effectiveness such as Mobile SMS, Newspaper Ads, Radio, TV, Poster, Internet etc.in the form of GRP (Gross Rating Point) in Shenzhen city. This time series dataset has 2211 observations and 18 variables, and a description of each variables is given in dataset. The purpose of this data mining project is to predict the demand, supply and to calculate the effect of advertising campaigns drivers on demand by using Market Mix Modelling (MMM) method. Download the dataset by using this link.
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