Optimizing Marketing ROI through Predictive Analytics

inFinance & Accounting

Background

Marketing budgets often require optimization to achieve maximum ROI. This project uses predictive analytics to evaluate the effectiveness of marketing campaigns and optimize budget allocation across different channels. Kaggle Datasets can be used for marketing and ROI data. Google Sheets can help in organizing campaign data and Python (scikit-learn, Pandas, Matplotlib) can be used for predictive modelling and data visualization.

Learning Outcome (LO)

  • LO #1: Understand the principles of ROI measurement in marketing. 
  • LO #2: Learn to build predictive models for campaign performance. 
  • LO #3: Gain experience in optimizing marketing budgets using data-driven approaches. 
  • LO #4: Develop actionable insights for maximizing marketing effectiveness. 

What is on offer?

  • 1-on-1 sessions with Ph.D. Scholars
  • Supervision and Guidance from Global Faculty
  • Assistance in Publishing Research
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