Audience segmentation aims to identify different target audience segments by analyzing ad data and develop customized advertising strategies for each segment. This analysis ensures that ads reach the right people and achieve higher engagement and conversion rates.
Dataset Description
The dataset we created for this project includes demographic and behavioral characteristics of users:
UserID: Unique ID of each user
Age: User's age
Gender: User's gender
Location: User's location
Interests: User's interests
DeviceType: The type of device the user is using
BrowsingHistory: User's browser history
PurchaseHistory: User's purchase history
Project Steps
Data Loading and First Look: We will load the dataset and take a general look. We will examine the structure of the data and identify missing or incorrect data.
Cleaning of Missing and Erroneous Data: We will fill in the missing values and correct the incorrect data.
Determining Segmentation Criteria: We will determine criteria such as age, gender, interests to segment users.
Data Analysis and Visualization: We will analyze users divided into segments and visualize the results.
Developing Targeted Advertising Strategies: We will develop customized advertising strategies for each segment.
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