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 inconsistency — especially when you're comparing ROAS, CPA, or CTR across different platforms that use different calculation methods.

The Python Approach

Here’s a simplified version of how you might approach this in Python. This example assumes you’ve already downloaded CSVs from Google Ads, Microsoft Ads, and Meta Ads, and you’re merging and calculating basic metrics.

import pandas as pd

# Load data from each platform
google = pd.read_csv("google_ads_data.csv")
meta = pd.read_csv("meta_data.csv")
microsoft = pd.read_csv("microsoft_ads_data.csv")

# Normalize column names
google.rename(columns={'Clicks': 'clicks', 'Conversions': 'conversions'}, inplace=True)
meta.rename(columns={'Clicks': 'clicks', 'Conversions': 'conversions'}, inplace=True)
microsoft.rename(columns={'Clicks': 'clicks', 'Conversions': 'conversions'}, inplace=True)

# Add platform column
google['platform'] = 'google'
meta['platform'] = 'meta'
microsoft['platform'] = 'microsoft'

# Concatenate all data
combined = pd.concat([google, meta, microsoft], ignore_index=True)

# Calculate basic metrics
combined['cpa'] = combined['spend'] / combined['conversions']
combined['ctr'] = combined['clicks'] / combined['impressions']

# Group by campaign and platform
summary = combined.groupby(['campaign_name', 'platform']).agg({
    'spend': 'sum',
    'clicks': 'sum',
    'conversions': 'sum',
    'cpa': 'mean',
    'ctr': 'mean'
}).reset_index()

print(summary)

This approach gives you a basic unified view of your campaign performance. But it assumes all inputs are well-formed and complete. It doesn’t handle missing columns, mismatched date formats, or platform-specific edge cases. It also doesn’t save the output in multiple formats or provide a command-line interface for easy automation.

What the Full Tool Handles

The PPC Campaign Performance Analyzer solves all these problems by:

• Merging CSV files from Google Ads, Microsoft Ads, and Meta Ads with minimal setup.
• Automatically detecting and handling missing or mismatched columns.
• Normalizing date formats and campaign names.
• Providing built-in KPI calculations (ROAS, CPA, CTR) across platforms.
• Supporting output in JSON, CSV, and Markdown formats.
• Including a CLI interface for batch processing.
• Detecting data anomalies and warning users about issues before generating reports.

Running It

You can run the tool directly from the command line:

ppc_analyzer --google ads_data.csv --meta meta_data.csv --output report.json

The tool supports multiple inputs: --google, --meta, and --microsoft. You can also filter by date range and campaign name in the output. The CLI makes it easy to integrate into automated reporting workflows.

Results

The tool saves you hours of manual data consolidation and reduces the chance of errors. It outputs clean, structured data in your preferred format, ready for dashboards or further analysis. You get a complete cross-platform performance report without touching a spreadsheet.

Get the Script

If you're tired of copy-pasting and reformatting data, this is the upgrade you've been looking for. The script handles all the edge cases and gives you clean, ready-to-use reports.

Download PPC Campaign Performance Analyzer →

$29 one-time. No subscription. Works on Windows, Mac, and Linux.

Built by OddShop — Python automation tools for developers and businesses.