Author
Rananjay Raj
Meta Ads Performance Analyzer
Technical Architecture Overview This N8N workflow provides automated Meta/Facebook advertising campaign performance analysis through intelligent data processing, AI-powered insights generation, and multi-channel reporting. The system transforms raw campaign metrics into actionable business intelligence with automated alerts and recommendations. Architecture Components 1. Scheduling & Trigger Layer * Schedule Trigger
Week 4 - Advanced GA4 - Audiences, Predictive Analytics & BigQuery Mastery
The GA4 features 90% of marketers don’t use (but should)
Week 3 GA 4 Audit Series- Privacy-First Analytics - GDPR, Consent Mode, and Staying Compliant Without Killing Conversions
New EU regulations could shut down your Google Ads (here’s how to stay compliant)
Week 2 - GA 4 E-commerce Tracking Masterclass - Never Lose a Dollar in Attribution Again
Your e-commerce tracking is costing you 30% revenue per month (here's the fix)
🚦 GA4 Traffic Source Monitor
Never miss a traffic drop again. Automated daily monitoring of your key traffic sources with intelligent alerts when sessions drop significantly.
The Shift from Marketing Automation to AI Agents: A Practical Framework 🤖
Plus: Top 3 AI tools you need to try this week.
GA4 Data Quality Monitor - Setup Guide
🎯 What This Workflow DoesAutomatically monitors your GA4 data quality every day and alerts you when something breaks.
The Official Claude 4.5 Prompting Guide: 10 Best Practices 🤖
Anthropic released the prompt engineering techniques for Claude 4.x models, with specific guidance for Sonnet 4.5, Haiku 4.5, and Opus 4.5
🎯 Google Ads Performance Analyzer
An AI-powered Google Ads performance analysis workflow built with n8n that automatically analyzes your campaign data and delivers comprehensive insights via beautifully formatted email reports.