How to Analyze Multi-Platform PPC Campaigns with Python

How to Analyze Multi-Platform PPC Campaigns with Python If you're juggling Google Ads, Microsoft Advertising, and Meta campaigns manually, you know how time-consuming this process can be. Switching between platforms, copying data into spreadsheets, and calculating cross-platform performance metrics is tedious and prone to human error. It’s especially frustrating when you’re trying to make data-driven decisions but spend more time organizing data than analyzing it. The Manual Way (And Why It Breaks) Most developers and marketers who manage multi-platform campaigns end up doing the same repetitive tasks: downloading CSV files from each platform, importing them into Excel, aligning column names, and manually calculating metrics like ROAS, CPA, and CTR. This process is not only slow but also error-prone. If one platform exports a different date format or uses inconsistent naming conventions, you’re left debugging spreadsheets late into the night. Even worse, hitting API rate limits or deal