Automation case study
Facebook Ads Data Live Report
An automated reporting pipeline that pulls campaign data from the Facebook Graph API, structures it for Google Sheets, and routes reporting output to Slack so marketing performance stays current without manual exports.
Engineering case study by Jonas Viray, Full Stack Developer & AI Automation Engineer
Overview
engineering summary
Problem → Architecture → Contribution → Result
- Problem
- Campaign reporting depended on repeated manual exports and delayed visibility into Facebook Ads performance.
- Architecture
- n8n orchestrates the reporting flow, the Facebook Graph API supplies campaign data, Google Sheets stores and structures reporting output, and Slack distributes the resulting updates to the team.
- Contribution
- Built the automated data pipeline from API retrieval through transformation, spreadsheet reporting, and team delivery so campaign metrics can move through the reporting process without manual exports.
- Result
- Marketing performance data stays more current and accessible, shortening the path from campaign activity to team visibility and decision-making.
Tools in this workflow
- n8n
- Facebook Graph API
- Sheets
- Slack
Related guide: n8n vs Make vs Zapier: Which Automation Tool Should a Small Business Use? · What Can You Automate with n8n? 12 Practical Business Examples · How to Connect Facebook Ads Reporting to Google Sheets Automatically
Related service: Workflow & Operations Automation, API & Platform Integration Engineering
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