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A/B testing of Facebook ads bidding strategy

Jupyter Notebook 99.73% Python 0.27%
ab-testing boostrap ecdf eda facebook-ads

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facebook-ads-AB-testing

Comparing Maximum and Average Bidding: An A/B Test in Facebook Ads


facebook ads gif

In this project, I conduct a statistical A/B test in the field of Facebook advertising to compare the effectiveness of two bidding strategies: Maximum Bidding and Average Bidding. The dataset available on Kaggle titled Optimizing Ad Bidding: Facebook's A/B Test Story

The A/B test focuses on evaluating how these two bidding strategies perform. The control group uses maximum bidding, a manual fixed bid approach, while the test group utilizes average bidding, an automated method adapting bids in real-time. The goal is to determine which strategy delivers better results for advertisers

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