How to Analyze Google Ads and Meta Ads Performance with Python

How to Analyze Google Ads and Meta Ads Performance with Python If you've ever spent hours manually comparing Google Ads and Meta Ads reports, you know how tedious this process can be. Copy-pasting data, aligning columns, and calculating metrics by hand is not only time-consuming but also prone to errors. It's a task that should be automated — especially when you're managing multiple campaigns across platforms. The Manual Way (And Why It Breaks) Most developers and marketers dealing with ad performance data rely on spreadsheets or manual export/import methods to compare results. You might open one CSV from Google Ads, another from Meta Ads, then spend a good chunk of your day aligning fields like campaign name, spend, clicks, and conversions. If you're lucky, you'll have consistent column names — but often, they don’t match. And when you do get that data aligned, you still have to run formulas to calculate ROAS, CPA, or CTR across platforms. That’s assuming you don’t hit API rate limits