Click Through Rate Analysis: Case Study

Download the dataset below to solve this Data Science case study on Click Through Rate Analysis. (Dataset Source: Kaggle)

Click Through Rate Analysis: Case Study

Click-through rate is the ratio of users who clicked on an ad/link to the number of total users who left impressions on the ad/link. In simple words, clicks ÷ impressions = CTR. Analyzing the click-through rate helps companies determine the types of people most likely to click on their ads. A high CTR gives validation to your advertising strategies.

The dataset below was submitted by Gaurav Dutta on Kaggle. Below are all the features in the dataset:

  1. Daily Time Spent on Site: the daily timespan of the user on the website;
  2. Age: the age of the user;
  3. Area Income: the average income in the area of the user;
  4. Daily Internet Usage: the daily internet usage of the user;
  5. Ad Topic Line: the title of the ad;
  6. City: the city of the user;
  7. Gender: the gender of the user;
  8. Country: the country of the user;
  9. Timestamp: the time when the user visited the website;
  10. Clicked on Ad: 1 if the user clicked on the ad, otherwise 0;

The “Clicked on Ad” column is the target variable in the dataset. You are required to analyze the click-through rate of this marketing campaign to find relationships between user characteristics and the click-through rate.

References to Solve this Data Science Case Study