crushedmonster / shopee_code_league_marketing_analytics Goto Github PK

Overview: This repository stores the code for the Shopee Code League - Marketing Analytics Competition hosted on Kaggle. Also, this is my first attempt at applying hyperparameter optimisation using python.

Competition Link: https://www.kaggle.com/c/open-shopee-code-league-marketing-analytics

The aim of this project is to build a model that can predict whether a user opens the emails sent by Shopee.

Sending emails is one of the marketing channels Shopee uses to reach out to our users. Being able to predict whether a user opens an email allows Shopee to forecast and evaluate the performance of future marketing campaigns before launch. This is because when a user opens an email, the probability of the user knowing the campaign increases and this in turn increases the probability of the user making a checkout during the campaign period. Therefore, with the predicted open rates, Shopee can better develop, strategize and implement future marketing campaigns.

We provide you with data related to marketing emails (Electronic Direct Mail) that were sent to Shopee users over a certain period. It contains information about

• User-specific information
• Email nature
• Users’ engagement on the platform
• User’s reaction to the email, including whether users opened the email

Based on the data provided, you must predict whether each user will open an email sent to him/her.