How to Analyze Multiple Ad Platform Data with Python

How to Analyze Multiple Ad Platform Data with Python If you've ever spent hours manually copying metrics between Google Ads, Facebook Ads, and Microsoft Advertising reports, you know the frustration of cross-platform analysis. It’s tedious, error-prone, and eats up valuable time you could spend on strategy. You’re not alone—marketers and agencies across the board struggle with this exact problem. The Manual Way (And Why It Breaks) Most marketers who want to compare performance across ad platforms fall back on spreadsheets. They download CSVs from each platform, open them individually, and painstakingly copy data into a master sheet. This process is slow, full of human error, and breaks down when you have dozens of campaigns or want to run regular comparisons. If you’re using the API, it also runs into rate limits and requires you to write separate logic for each platform. Even when you're careful, you end up with inconsistent data formats and missing fields that require post-processing