Build Multi Platform Creator Analytics Database That Actually Works

Build a cross platform social media analytics dashboard that tracks performance across YouTube, LinkedIn, TikTok, Facebook, and X using a custom PostgreSQL database. This breakdown covers API limitations, creator data pipeline design, JSONB schema flexibility, and Tailscale private network security. Learn how to handle TikTok data delays, LinkedIn restrictions, and X API pricing while using cron-based polling for reliable updates. Instead of relying on platform metrics, this approach focuses on UTM tracking, attribution data, and conversion events. The result is a controlled analytics system that prioritizes real performance data, giving creators a scalable way to measure growth, clicks, and revenue across multiple platforms. Timestamps: 0:00 Building a cross platform analytics system 0:12 Why existing tools fail for personal profiles 0:37 PostgreSQL database and Tailscale setup 0:55 Platform-specific API barriers explained 1:02 YouTube API advantage for creators 1:17 X API pricing and request strategy 1:33 TikTok data latency challenges 1:42 LinkedIn and Facebook data restrictions 2:32 Custom hub and spoke data pipeline 3:28 JSONB schema for flexible data storage 4:16 UTM tracking and attribution strategy Owning analytics shifts control from platform metrics to measurable outcomes like click-through rates, conversions, and revenue tracking. A structured PostgreSQL system, combined with UTM attribution and private data pipelines, creates a scalable framework for creators focused on performance clarity, cross platform tracking, and long-term monetization visibility. #SocialMediaAnalytics #CreatorTools #DataTracking