YouTube AI Intelligence
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Analyze Any YouTube Channel

Audit engagement metrics, graph performance trends, analyze format mix, and generate AI growth insights.

Try:
Own a YouTube Creator or Brand channel? Connect via Google for private inisghts →

Simple 3-Step Process

How to Audit Any YouTube Channel in 3 Simple Steps

  1. Enter Channel URL or Handle

    Provide any public YouTube link, custom handle, or video link. We query Google endpoints to extract live statistics, upload history, and content metadata.

  2. Calculate Retention & Velocity

    Our engine computes true view-to-subscriber ratios, separates passive clicks from engagement, measures upload intervals, and benchmarks against tier medians.

  3. Generate AI Playbook & PDF

    Advanced models synthesize retention curves, title packaging, and Shorts arbitrage into an actionable strategy playbook ready for export.

Deep Analytics Architecture

Key Signals We Analyze

True Engagement
Interactions / Views %

Determines viewer responsiveness per view, separating authentic community loyalty from passive views.

Shorts vs Long-form
Format Yield ROI

Identifies which format drives discovery velocity vs. watch time and subscriber conversion.

Estimated Retention
Average View Duration

Measures pacing efficiency to predict algorithmic distribution across Suggested & Browse features.

Growth Modeling
Predictive Projections

Calculates 3, 6, and 12-month subscriber targets using historical velocity and upload cadence.

Algorithmic Signals

How YouTube Evaluates Content Value

The foundational metrics governing recommendations across Suggested, Search, and Browse.

CTR & Packaging Hook

Click-Through Rate (CTR) evaluates title and thumbnail resonance. High early click velocity signals strong packaging to recommendation models.

Average View Duration (AVD)

Retention percentage and total minutes watched dictate session depth. YouTube favors videos keeping audiences on platform longer.

Satisfaction & Shares

Viewer interactions, playlist additions, and external shares signal high satisfaction, protecting videos from post-drop decay.

Industry Medians

YouTube Engagement Rate Benchmarks

Compare audited channel data against verified medians based on subscriber size.

Channel TierSubscribersAverage ER %View / Sub RatioPrimary Growth Lever
Nano Creator< 1,0007.0% – 12.0%30% – 50%Search SEO & Focused Community
Micro Creator1,000 – 10,0005.0% – 8.0%20% – 35%Consistent Series & Shorts Discovery
Mid-Tier Channel10,000 – 100,0003.5% – 5.5%15% – 25%First-30-Second Retention & A/B Thumbnails
Macro Channel100,000 – 1,000,0002.2% – 3.8%10% – 18%Browse Features & Packaging Hooks
Mega / Brand1,000,000+1.2% – 2.5%5% – 12%High-Concept Spectacle & Viral Reach
Help & FAQs

Frequently Asked Questions

Everything you need to know about channel auditing, metrics interpretation, and OAuth connection.

A healthy engagement rate on YouTube generally ranges between 3.5% and 6.0% (total interactions divided by views). Small to mid-tier creators frequently see 7.0%+ due to dedicated core viewers, while large channels typically average between 1.5% and 3.0% as casual impressions scale.

The algorithm optimizes for viewer satisfaction, driven primarily by Click-Through Rate (CTR) and Average View Duration (AVD). High completion rates, long session times, and active likes/comments prompt recommendation engines to expand distribution across homepage feeds.

It evaluates two channels side-by-side by normalizing views per 1,000 subscribers, comparing Shorts versus long-form engagement ratios, and detecting specific publishing days where your competitor generates higher interaction velocity.

Public APIs only return aggregate statistics. Connecting via Google grants read-only access to private YouTube Analytics endpoints, revealing exact watch time hours, verified retention percentages, traffic source breakdowns, and true audience demographics.

Only public channels and their public videos can be audited anonymously. If you connect your channel via Google OAuth, you gain access to internal private reporting metrics securely on your personal dashboard.

Our predictive models evaluate historical upload frequency, average engagement rate, and viral performance multipliers to generate 3, 6, and 12-month compound subscriber milestones.

Channel audits are cached for 12 hours to conserve API quotas and deliver instantaneous, zero-credit lookups. Authenticated users can execute a live refresh anytime for 5 credits.
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