Use this robust n8n workflow to automatically fetch daily Meta Ads insights, categorize performance metrics (general, monetary, non-monetary), and log them into Google Sheets for reporting and analysis.
Download this n8n workflow template and start using it instantly.
Manually logging daily advertising performance is tedious and error-prone. This n8n workflow solves this problem by providing a fully automated, scheduled solution for extracting comprehensive Meta Ads insights and transforming them into organized spreadsheet data.
This specific n8n workflow runs daily, fetches metrics from the previous day, and intelligently separates the data into general performance stats (like impressions and spend), non-monetary actions (like comments and shares), and critical monetary actions (like purchases or revenue). By using this n8n template, you ensure your data logging is timely, accurate, and structured, greatly enhancing your reporting capabilities within Google Sheets. This is a crucial automation for any marketing operation built on the n8n platform.
This automation is initiated by a scheduled n8n trigger.
This robust n8n workflow ensures all relevant Meta Ads data is accurately categorized and stored across various designated sheets.
To set up this powerful n8n workflow, follow these steps:
Schedule Trigger (Everyday at 3am): This is the core n8n trigger, initiating the daily data synchronization process.
Facebook Graph API (Ad insights from yesterday): This crucial n8n node fetches all performance data for the previous 24 hours from the configured Meta Ad Account. Key configuration involves selecting the correct account and date range presets.
Split Out (data column only & split actions): These n8n nodes are used for data transformation, ensuring that multi-record outputs or nested arrays (like 'actions') are broken down into individual, processable items before filtering.
Filter (Only monetary actions & filter by action type): These n8n node steps apply logical conditions to separate conversion events based on whether they involve a monetary value (e.g., purchases) or are non-monetary interactions (e.g., link clicks).
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