Project III: Conversion Rate Optimisation
- Problem:
The main challenge is to develop an accurate and robust prediction model capable of classifying users based on their propensity to convert on the site. This classification is crucial for guiding marketing initiatives and user experience enhancements aimed at maximizing conversion rates and, by extension, site-generated revenues.
- Proposed Solution:
This data science project aims to develop a conversion rate prediction model using advanced techniques such as logistic regression. By following a rigorous methodology including data preparation, selection of relevant variables, model construction, and performance evaluation, our goal is to provide the marketing team with precise predictive tools to optimize campaigns and conversion strategies.
