Manual monitoring of influencer campaigns is time-consuming and often misses critical performance insights, brand mentions, and ROI calculations. This template solves the challenge of automatically tracking influencer content, analyzing engagement metrics, detecting brand mentions, and calculating campaign ROI using AI-powered analysis and automated workflows.
This workflow automatically monitors influencer profiles and content using ScrapeGraphAI for intelligent analysis, tracks brand mentions and sponsored content, calculates performance metrics, and provides comprehensive ROI analysis for marketing campaigns.
The template analyzes and tracks the following metrics:
| Metric Category | Data Points | Description | Example |
|---|---|---|---|
| Profile Data | Username, Followers, Following, Posts Count, Bio, Verification Status | Basic influencer profile information | "@influencer", "100K followers", "Verified" |
| Post Analysis | Post URL, Caption, Likes, Comments, Date, Hashtags, Mentions | Individual post performance data | "5,000 likes", "150 comments" |
| Engagement Metrics | Engagement Rate, Content Quality Score, Performance Tier | Calculated performance indicators | "3.2% engagement rate", "High performance" |
| Brand Detection | Brand Mentions, Sponsored Content, Mention Count | Brand collaboration tracking | "Nike mentioned", "Sponsored post detected" |
| Campaign Performance | Total Reach, Total Engagement, Average Engagement, Performance Score | Overall campaign effectiveness | "50K total reach", "85.5 performance score" |
| ROI Analysis | Total Investment, Estimated Value, ROI Percentage, Cost per Engagement | Financial performance metrics | "$2,500 investment", "125% ROI" |
Estimated setup time: 20-25 minutes
# Install required community nodes
npm install n8n-nodes-scrapegraphai
websiteUrl parameter with target influencer usernamesCommon Issues:
Support Resources:


