| name | video-analytics-interpreter |
| description | Interpret YouTube Analytics, TikTok Analytics, and video performance data. Identifies trends, explains metrics, and provides actionable recommendations for growth. Use when analyzing video performance, understanding metrics, or optimizing channel strategy. |
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
