The Problem
Creators often spend hours editing videos but neglect the crucial metadata and analytics needed to trigger the YouTube recommendation algorithm.
The Approach
We developed a real-time analytics suite that suggests high-performing tags, A/B tests thumbnails, and audits video retention graphs to highlight exact moments where viewers drop off.
The Result
Channels utilizing the tool experienced an average 120% increase in suggested video traffic and a significant bump in subscriber conversion rates.