# Facebook Ad Campaign Budget Prediction — Data

来源：https://www.kaggle.com/competitions/facebook-ad-campaign-budget-prediction/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

Explanation of columns:

Ad_ID: Unique identifier for each ad.
Ad_Creative: Description of the ad content (text, image, video, carousel, etc.).
Target_Demographics: Age and gender targeting criteria for the ad.
Target_Interests: Interests targeting criteria for the ad.
Location: Targeted location for the ad campaign.
Impressions: Number of times the ad was displayed.
Clicks: Number of clicks on the ad.
Conversions: Number of users who completed the desired action (e.g., made a purchase) after clicking the ad.
Budget_Spent: Amount spent on the campaign.
Please note that this is a basic example, and a more comprehensive dataset would include additional features and variability. In a real-world scenario, you would have a more extensive dataset with a larger number of ads, diverse targeting criteria, and a broader range of performance metrics.