True Engagement Rate & Algorithmic Community Health
Calculate verified YouTube engagement percentages across recent uploads. Diagnose audience loyalty, detect ghost subscriber decay, and benchmark against global channel tier standards.
True View Engagement Rate (TER %)
Measure authentic audience interaction by dividing actual likes and comments by video views.
Ghost Subscriber Detection
Identify dormant audience drag by comparing average upload views against total subscriber base.
Tier-Calibrated Industry Benchmarks
Benchmark metrics against exact creator tier standards from Nano (<10k) to Mega (1M+).
Community Health Score & Grade
Synthesize views, interactions, and debate depth into a unified letter grade from A+ to D.
Interactions vs. Actual Views
Calculating (Likes + Comments) against actual video views reflects genuine audience resonance far better than total channel subscriber counts.
Ghost Subscriber Detection
Compare average views per video to total subscriber count. When views drop below 5% of subscribers, dormant audience drag slows browse feature distribution.
Comment-to-Like Ratio
Likes are effortless; comments require viewer commitment. A healthy comment-to-like ratio indicates strong community loyalty and lively video comment sections.
Tier-Calibrated Benchmarks
Channels naturally see lower engagement percentages as they scale into millions. GuinRank evaluates your metrics against your specific creator tier (Nano to Mega).
Algorithmic Health Grade
Synthesizes views per upload, interaction density, and viewer participation into a unified letter grade (A+ to D) and a 0–100 algorithmic health score.
Actionable Recovery Playbook
Receive data-backed recommendations on verbal call-to-actions, pinned comment strategies, and community tab polls to boost low-performing engagement metrics.
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Algorithmic Community Optimization Playbook
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GuinRank V7 YouTube API Compliance Shield
Official YouTube API Services Developer Terms Certification