The problem I am working on in this project is my take on a problem I found at statso. The dataset I am working on contains the following columns:
- Session primary channel group: The marketing channel (e.g., Direct, Organic Social)
- Date + hour (YYYYMMDDHH): The specific date and hour of the session
- Users: Number of users in a given period
- Sessions: Number of sessions in that period
- Engaged sessions: Number of sessions with significant user engagement
- Average engagement time per session: The average time a user is engaged per session
- Engaged sessions per user: Ratio of engaged sessions to total sessions per user
- Events per session: Average number of events (actions taken) per session
- Engagement rate: The proportion of sessions that were engaged
- Event count: Total number of events during the period
The primary objective is to analyze and optimize web traffic and user engagement, focusing on:
- Session Analysis: Understanding the temporal distribution and trends in web sessions and user visits to identify peak times and low-traffic periods.
- User Engagement Analysis: Evaluating how engaged users are during their sessions across different channels, aiming to enhance user interaction and satisfaction.
- Channel Performance: Assessing the effectiveness of various traffic channels in attracting and retaining users, to optimize marketing spend and strategy.
- Website Traffic Forecasting: Predicting future traffic trends to better allocate resources and tailor content delivery according to predicted user demand.