Google Store Analytics Transaction Revenue Prediction
Project Summary
Problem Statement: The 80/20 rule has proven true for many businesses, only a small percentage of customers produce most of the revenue. Understanding how much each customer spends will allow companies to place actionable operations to better allocate their marketing budgets.
Objective: Predict a how much GStore customer will spend. In addition, to predict the natural log of the sum of all transactions per user.
- \[y_{user} = \sum_{i=1}^{n} transaction_{user_i}\]
- \[target_{user} = \ln({y_{user}+1})\]
More Detailed Work can be found at: