SuperAPI AI Directory

video-analytics-interpreter

Design & creation

View repository

Updated 10-16 01:37

About this skill

Video Analytics Interpreter

Transform raw video metrics into actionable growth strategies.

Key Metrics Explained

YouTube Analytics

📊 CORE METRICS:

VIEWS
- What: Total video plays (30+ seconds or full if shorter)
- Good: Trending upward week-over-week
- Warning: Sudden drops may indicate algorithm changes

WATCH TIME

  • What: Total minutes watched
  • Why it matters: #1 factor for YouTube algorithm
  • Good: Higher than channel average

AVERAGE VIEW DURATION (AVD)

  • What: Average time viewers watch
  • Benchmark: 50%+ of video length is good
  • Tip: Longer videos = lower % is acceptable

CLICK-THROUGH RATE (CTR)

  • What: Impressions → Clicks percentage
  • Good: 4-10% (varies by content type)
  • Excellent: 10%+
  • Warning: <2% needs thumbnail/title work

IMPRESSIONS

  • What: Times thumbnail shown to users
  • Note: Higher impressions = YouTube promoting you
  • Tip: CTR × Impressions = Views potential

AUDIENCE RETENTION

  • What: Graph showing when viewers leave
  • Key: Look for drop-off points
  • Goal: Flat line is ideal, gradual decline acceptable

ENGAGEMENT RATE

  • What: (Likes + Comments) / Views
  • Good: 4-8%
  • Excellent: 8%+

### TikTok Analytics

📊 TIKTOK METRICS:

VIDEO VIEWS

  • Includes replays and loops
  • Higher than YouTube due to autoplay

AVERAGE WATCH TIME

  • Critical for algorithm
  • Goal: Above 100% (indicates replays)

WATCH FULL VIDEO RATE

  • % who watched entire video
  • Good: 30%+ for 15-30 sec videos
  • Excellent: 50%+

ENGAGEMENT RATE

  • (Likes + Comments + Shares) / Views
  • Good: 5-10%
  • Viral potential: 15%+

SHARES

  • Most important engagement type
  • Strong shares = algorithm boost
  • Indicates "save for later" or "send to friend"

PROFILE VIEWS

  • Viewers who clicked your profile
  • Indicates content sparked curiosity
  • Goal: 1-3% of views

FOLLOWER CONVERSION

  • New followers / Profile views
  • Good: 10-20%
  • Tip: Pin best content, optimize bio

## Analytics Interpretation Framework

### Step 1: Identify the Pattern

PERFORMANCE CATEGORIES:

🚀 BREAKOUT SUCCESS (Top 10% of your content)

  • Views: 3x+ your average
  • CTR: Above your channel average
  • Retention: Higher than similar videos
  • Action: Double down, create more like this

✅ SOLID PERFORMER (Above average)

  • Views: 1.5-3x your average
  • CTR: At or above average
  • Retention: Consistent with similar content
  • Action: Note what worked, iterate

😐 AVERAGE

  • Views: Near your typical numbers
  • CTR: Around channel average
  • Retention: Normal patterns
  • Action: Test new elements

⚠️ UNDERPERFORMER (Below average)

  • Views: Below your average
  • CTR: Lower than normal
  • Retention: Early drop-offs
  • Action: Analyze what went wrong

❌ FLOP (Bottom 10%)

  • Views: Significantly below average
  • CTR: Much lower than normal
  • Retention: Severe early drop-off
  • Action: Don't delete - learn from it

### Step 2: Diagnose the Problem

LOW VIEWS DIAGNOSIS:

Q1: Is CTR low? YES → Thumbnail/title problem NO → Algorithm not promoting (impressions issue)

Q2: Is retention low? YES → Content/hook problem NO → Distribution/timing issue

Q3: Low impressions but good CTR/retention? YES → Algorithm testing phase, be patient → Or topic has limited search volume

DIAGNOSIS FLOWCHART: ┌─────────────────────────────────────────────────────────┐ │ Low Views? │ │ ↓ │ │ Check CTR → Low? → Fix thumbnail/title │ │ ↓ │ │ CTR OK? → Check Retention → Low? → Fix hook/content │ │ ↓ │ │ Both OK? → Check Impressions → Low? → Topic/timing issue│ │ ↓ │ │ All OK but low views? → Give it time, algorithm testing │ └─────────────────────────────────────────────────────────┘


### Step 3: Read the Retention Graph

RETENTION PATTERNS:

📉 EARLY DROP (0-30 seconds) Problem: Weak hook, misleading thumbnail/title Fix: Stronger hook, match expectations

📉 GRADUAL DECLINE (Steady downward slope) Normal: Expected for most videos Optimize: Add pattern breaks every 30-60 sec

📉 CLIFF DROP (Sudden sharp decline) Problem: Boring section, promise unfulfilled Fix: Cut/improve that section, better pacing

📈 SPIKE (Retention increases) Meaning: Replay/rewind point Opportunity: Create clip from this moment

─── FLAT LINE (Stable) Ideal: Viewers engaged throughout Indicates: Strong content-hook match


## Analytics Report Template

═══════════════════════════════════════════════════════════════ VIDEO ANALYTICS REPORT Video: [Title] Published: [Date] Analysis Period: [X days since publish] ═══════════════════════════════════════════════════════════════

📊 PERFORMANCE SUMMARY: ───────────────────────────────────────────────────────────── Views: [X] ([+/-X%] vs channel avg) Watch Time: [X hours] ([+/-X%] vs channel avg) CTR: [X%] ([+/-X%] vs channel avg) Avg View Duration: [X:XX] ([X%] of video) Engagement: [X%] (Likes: X, Comments: X)

Performance Tier: [🚀 Breakout / ✅ Solid / 😐 Average / ⚠️ Under / ❌ Flop]

📈 RETENTION ANALYSIS: ───────────────────────────────────────────────────────────── Hook Effectiveness (0-30s): [Strong/Moderate/Weak]

  • [X%] still watching at 30 seconds

Key Drop-off Points:

  • [Timestamp]: [X%] dropped - Likely cause: [reason]
  • [Timestamp]: [X%] dropped - Likely cause: [reason]

Rewatch Spikes:

  • [Timestamp]: Viewers replayed - Content: [what happened]

Overall Shape: [Early drop / Gradual decline / Cliff / Flat]

🎯 TRAFFIC SOURCES: ─────────────────────────────────────────────────────────────

  1. [Source]: [X%] - [Insight]
  2. [Source]: [X%] - [Insight]
  3. [Source]: [X%] - [Insight]

Best Performing Source: [Source] - Why: [explanation] Underperforming Source: [Source] - Recommendation: [action]

👥 AUDIENCE INSIGHTS: ───────────────────────────────────────────────────────────── New vs Returning: [X% new / X% returning] Geographic: Top countries [list] Demographics: Primary age/gender [if available] Device: [X% mobile / X% desktop / X% TV]

Subscriber Impact: [+X subscribers] ([X%] conversion)

🔍 DIAGNOSIS: ───────────────────────────────────────────────────────────── Primary Issue: [Identify main problem if any] Root Cause: [Why this happened] Secondary Issues: [Other concerns]

💡 RECOMMENDATIONS: ───────────────────────────────────────────────────────────── IMMEDIATE (This Video):

  1. [Action] - Expected impact: [result]
  2. [Action] - Expected impact: [result]

FUTURE VIDEOS:

  1. [Lesson learned] - Apply to: [future content]
  2. [Lesson learned] - Apply to: [future content]

A/B TEST SUGGESTION:

  • Test: [Element to test]
  • Hypothesis: [What you expect]
  • Measure: [Metric to track]

🎬 CLIP OPPORTUNITY: ───────────────────────────────────────────────────────────── High-engagement moment at [Timestamp]: "[Description]" Recommended for: [TikTok/Shorts/Reels] Hook angle: "[Suggested hook]"

📅 NEXT STEPS: ───────────────────────────────────────────────────────────── [ ] [Action item 1] [ ] [Action item 2] [ ] [Action item 3] ═══════════════════════════════════════════════════════════════


## How to Use

### Full Analytics Review

Analyze this video's performance: [Paste analytics data or describe metrics]

Comparisons:

  • Channel average CTR: [X%]
  • Channel average retention: [X%]
  • Similar video performance: [description]

### Quick Diagnosis

My video has [X views] but my CTR is [X%]. Why is it underperforming and how do I fix it?


### Trend Analysis

Analyze these videos' performance trends: Video 1: [Title] - [Views, CTR, Retention] Video 2: [Title] - [Views, CTR, Retention] Video 3: [Title] - [Views, CTR, Retention]

What patterns do you see?


### Channel Health Check

Here are my last 10 videos' metrics: [List videos with key metrics]

How is my channel performing overall? What should I focus on?


## Benchmarks by Content Type

                CTR      Retention    Engagement

Educational 3-6% 40-60% 3-6% Entertainment 5-10% 30-50% 5-10% Gaming 4-8% 25-45% 4-8% Vlog 3-7% 35-55% 4-8% Product Review 4-8% 40-60% 3-6% Tutorial 3-6% 45-65% 3-5% Short-form 8-15% 70-100%+ 8-15%


## Warning Signs to Watch

⚠️ IMMEDIATE ATTENTION:

  • CTR dropped 50%+ from average
  • Retention cliff in first 30 seconds
  • Impressions declining week-over-week
  • Subscriber loss instead of gain

📉 CONCERNING TRENDS:

  • AVD decreasing over time
  • Engagement rate declining
  • More dislikes than usual
  • Comments increasingly negative