This n8n workflow automates the process of monitoring influencer social media profiles, analyzing their content, detecting brand mentions, evaluating campaign performance, and calculating marketing ROI. It starts with a daily trigger at 9:00 AM, scraping influencer profiles using the ScrapeGraphAI node for key data such as followers, recent posts, and engagement metrics. The workflow then analyzes the content for engagement rates and quality scores, and detects brand mentions and sponsored indicators within posts. It ships this data through logical steps to track overall campaign performance, including reach, engagement, and top-performing posts. Finally, it calculates the return on investment (ROI) for influencer marketing efforts by estimating costs against engagement and reach metrics, providing actionable insights on campaign effectiveness and areas for optimization.
Automated Influencer Campaign Monitoring and ROI Analysis
Node Count | 11 – 20 Nodes |
---|---|
Nodes Used | code, n8n-nodes-scrapegraphai.scrapegraphAi, scheduleTrigger, stickyNote |
Reviews
There are no reviews yet.