Google analytics customer revenue prediction | |
| Author | Reddy, Mannem Varun Kumar |
| Subject(s) | Machine learning Google Analytics Internet searching-Statistical services |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science |
| Publisher | Asian Institute of Technology |
| Abstract | Online marketing is growing day by day and has become a billion-dollar industry. Compa nies spend a lot of money by targeting users who visit their website once, to encourage them to buy products from their website. But major part of the revenue comes from only 20% of the users. So instead of targeting everyone who visits the website, marketing budget can better be utilized, if they target only those users who are most likely to purchase a product in the future. Google Merchandise Store is a website and has provided the dataset of their website to help us predict customers who are most likely to make a transaction in the future, and the total revenue they will earn from that customer. This data was collected by Google Analytics, and the same model can be used by anyone who is using Google Analytics. The goal of this project is to preprocess the data and use various machine learning algorithms to predict the estimated total revenue the website will earn from a user who visits their website. |
| Year | 2019 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Chutiporn Anutariya;Guha, Sumanta, (Co-Chairperson); |
| Examination Committee(s) | Bohez, Erik L. J.;Nicole, Olivier; |
| Scholarship Donor(s) | AIT Fellowship; |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2019 |