Ad click-through rate (CTR) is an important performance metric that shows how many times ads are clicked. CTR is calculated based on how many times the ad is viewed (impression) and clicked. This analysis helps determine how effective advertising campaigns are and is important for optimizing advertising strategies.
Dataset Description
The dataset we created for this project includes the metrics necessary to analyze click-through rates of different ad campaigns:
CampaignID: Unique ID for each campaign
AdID: Unique ID of each ad
AdStartDate: The date the ad started
AdEndDate: The date the ad ends
Impressions: How many times the ad was viewed
Clicks: How many times the ad was clicked
Project Steps
Data Loading and First Look: We will load the dataset and get an overview. We will examine the structure of the data and detect missing or incorrect data.
Cleaning of Missing and Erroneous Data: We will fill in the missing values and correct the incorrect data.
CTR Calculation: We will calculate the click-through rates of ads.
Data Analysis and Visualization: We will visualize the results by analyzing the calculated CTR values.
Developing Advertising Strategies: We will optimize advertising strategies by identifying ads with the highest CTR.
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