How to Analyze PPC Campaign Performance Across Multiple Platforms with Python

How to Analyze PPC Campaign Performance Across Multiple Platforms with Python Managing campaigns across Google Ads, Microsoft Advertising, and Meta can feel like juggling flaming swords. Each platform has its own data format, reporting structure, and metric definitions. When you're trying to compare performance across all three, you end up spending hours copying data into spreadsheets, manually calculating KPIs, and trying to spot trends across different platforms. The Manual Way (And Why It Breaks) Most marketers who manage multiple PPC platforms fall back on manual methods. They export CSVs from each platform, open them in Excel, and start copy-pasting rows across sheets to align campaign names, dates, and metrics. It's error-prone, time-consuming, and prone to human mistakes. You might hit API limits if you try to pull data directly, or spend hours aligning different date formats, campaign statuses, or ad group structures. The process is repetitive and leaves plenty of room for inco