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Advertising Acquisition Prediction Model

Team members

Tan Yun Xuan (ESD), Yang Yinyu (ESD), Wang Nuo (ESD), Lin Cheng (ISTD), Ei Inzali Khin (ISTD), Joshua Teo Yi (ISTD)

Instructors:

Yue Mu, Norman Lee Tiong Seng

Writing Instructors:

Nurul Wahidah Binte Mohd Tambee

Teaching Assistant:

Siddharth Kumar

Project Overview

 

A local software solution which allows for predictive and optimization analytics, utilising best-in-class machine learning algorithms which are purpose-built for advertising budget allocation. Based on historical data of the channel spendings, optimal budgets are recommended to maximise acquisitions for the specified product.

 

Our solution accelerates and enhances the budget allocation process for advertising campaigns, allowing the company to better serve their clients. The solution is robust and capable of processing data from more than 5 channels over a year period.

 

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OUR PRODUCT

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poster
FEEDBACK

TEAM MEMBERS

student Tan Yun Xuan Engineering Systems and Design
student Yang Yinyu Engineering Systems and Design
student Wang Nuo Engineering Systems and Design
student Lin Cheng Information Systems Technology and Design
student Ei Inzali Khin Information Systems Technology and Design
student Joshua Teo Yi Information Systems Technology and Design

© 2021 SUTD

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