Revenue Forecasting Using Google Analytics Data

Abstract

Abstract: Most companies receive the majority of their revenue from a small number of users. As a result, it's necessary to comprehend who these clients are and how to reach them. Google Merchandise Store (GStore) offers customer records that include details about previous transactions. This information can be used to generate predictive models that forecast each customer's future sales. This information can be used to better target marketing campaigns and allocate your marketing budget. For example, you can direct your marketing efforts on the 20% of clients who are most likely to create income. Predicting each customer's future sales is a regression problem because you are trying to forecast a continuous value (sales) based on the customer's other attributes. Regression problems are often addressed by machine learning models. These models are trained using a historical data set containing both the input attributes and the output values (revenue). Once trained, the model can forecast revenue for new clients even in the absence of past data.