Download the dataset below to solve this Data Science case study on Ads Click Through Rate Analysis.
Ads Click Through Rate measures the effectiveness of an advertising campaign by calculating the ratio of clicks to impressions. It provides insights into how engaging and relevant an ad is to the target audience.
The dataset provided contains information related to Ads CTR for a specific online advertising campaign. It consists of the following columns:
- Date: The date on which the data was recorded.
- Clicks: The number of times users clicked on the ads.
- Impressions: The total number of times the ads were displayed to users.
Your task is to:
- Analyze the distribution of Clicks and Impressions over time.
- Calculate and visualize the Click-Through Rate (CTR) trend.
- Identify any patterns or trends in CTR based on day-of-week and other features.
- Create relevant features for CTR analysis.
- Build a forecasting model to predict future CTR values.
