Combine Facebook and Google Ads Data Without Spreadsheet Crashes
5/28/2026
The Problem
Every week, a marketing manager downloads Facebook Ads Manager reports, Google Ads exports, TikTok Creative Center data, and LinkedIn Campaign Manager CSV files. They want to answer a simple question: which platform drove the most conversions last week, and at what cost per acquisition?
The answer requires merging data from multiple platforms, normalizing date formats, matching campaign names, and calculating totals by platform. Doing this in Excel means wrestling with inconsistent column names, copy-pasting hundreds of thousands of rows, and watching the application freeze during pivot table calculations.
Uploading the combined dataset to a cloud BI tool for analysis is an option, but it requires uploading your proprietary campaign performance data — including spend, conversions, and audience insights — to a third-party platform.
Why This Happens
Each advertising platform has its own export format. Facebook reports might show "Amount Spent (USD)" while Google Ads exports "Cost" and TikTok uses "Total Cost." Date formats vary, campaign naming conventions differ, and attribution windows mean the same conversion might appear on different platforms with different timestamps.
The real bottleneck is volume: a single week's Facebook Ads export can easily contain 500,000+ rows if you're running dozens of campaigns with daily breakdowns. Excel handles this poorly, and free online CSV tools either limit file size or require uploading your data to process it.
Step-by-Step Workflow
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Download CSV exports from each advertising platform for the reporting period (daily or weekly).
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Organize by platform — place each platform's export in a subfolder or use consistent file naming (e.g., "facebook_jan_w1.csv", "google_jan_w1.csv").
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Open DataOlllo and load the folder using Directory Mode. DataOlllo reads all files, auto-aligns columns across platforms, and appends them into one dataset with a "Source_File" column tracking origin.
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Normalize the data — convert date formats to a single standard. Strip currency symbols from spend columns and ensure they're numeric.
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Aggregate by platform — use the group-by panel to sum spend and conversions by platform. Calculate cost-per-acquisition: total spend divided by total conversions.
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Export the media mix report as a clean CSV for your marketing dashboard or presentation.
Automating This with Directory Mode
Directory Mode is designed exactly for this recurring workflow:
- Create a folder for each reporting period (e.g., "Reports/2026/Week01")
- Drop new platform exports in as they arrive each week
- Open the folder in DataOlllo > Directory Mode
- Apply the same column normalization (already saved as a workflow)
- Export the unified media mix report
After the initial setup, a weekly 30-minute manual task becomes a 2-minute automated one.
Common Ad Platform Export Fields
| Platform | Spend | Impressions | Clicks | Conversions | Date |
|---|---|---|---|---|---|
| Amount Spent | Impr. | Link Clicks | Result | Date | |
| Google Ads | Cost | Impr. | Clicks | Conversions | Day |
| TikTok | Total Cost | Video Views | Clicks | Conversion | Date |
| Total Spent | Impressions | Clicks | Lead Gen | Week |
DataOlllo normalizes currency symbols and date formats automatically when merging multiple platforms.
When DataOlllo Is the Right Tool
Marketing analytics reporting is a high-value use case for DataOlllo's multi-file processing.
Relevant capabilities:
- Directory Mode — process multiple platform exports simultaneously with auto column alignment
- Batch processing — handle weekly exports with 500,000+ combined rows without spreadsheet performance issues
- Local processing — campaign performance data stays private, not uploaded to third-party BI tools
- No-code aggregation — sum, count, and calculate cost-per-acquisition without writing formulas
Spreadsheets break down under the volume and format inconsistency of multi-platform advertising data. DataOlllo was built for exactly this scenario.
Get Started
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