YouTube Analytics: Panduan Lengkap Memahami Data Channel

Desktop:
1. Login ke YouTube
2. Klik profile picture
3. Pilih "YouTube Studio"
4. Klik "Analytics" di sidebar

Mobile (YouTube Studio App):
1. Open YouTube Studio app
2. Tap "Analytics" tab
3. Swipe untuk navigate sections

Default view menampilkan:
├── Views summary
├── Watch time
├── Subscribers
├── Estimated revenue (if monetized)
├── Top videos
└── Real-time views

Views:
├── Total views dalam periode
├── Comparison vs previous period
├── Trend indicator (up/down)
└── Click untuk detail

Watch time:
├── Total jam ditonton
├── Paling penting untuk algorithm
├── Growth indicator
└── Target: increase consistently

Subscribers:
├── Net change dalam periode
├── Gained - Lost = Net
├── Source breakdown available
└── Key untuk channel growth

Menampilkan:
├── Last 48 hours views
├── Last 60 minutes views
├── Per-video breakdown
├── Update setiap beberapa menit
└── Good untuk tracking new uploads

Impressions:
├── Berapa kali thumbnail ditampilkan
├── Home, search, suggested, etc.
├── Not counted: external sites, end screens
└── Higher = more visibility

Click-Through Rate (CTR):
├── % impressions yang clicked
├── Average: 2-10%
├── Varies by content type
├── Affected by thumbnail & title

Formula:
CTR = (Clicks / Impressions) × 100%

Where viewers find you:

Browse features (Home/Subscriptions):
├── Algorithm recommended
├── Subscription feed
├── Best for established channels

YouTube Search:
├── From search queries
├── SEO dependent
├── Shows search terms

Suggested videos:
├── Sidebar suggestions
├── End screen clicks
├── Watch next

External:
├── Websites embedding
├── Social media links
├── Google search

Direct/unknown:
├── Direct URL access
├── Not categorized
└── Includes some apps

Notifications:
├── From push/email notifications
├── Subscriber engagement
└── Time-sensitive

Visualization:
Impressions → CTR → Views → AVD → Watch Time

Interpret:
├── Low impressions = visibility issue
├── Low CTR = thumbnail/title issue
├── Low AVD = content issue
├── All affect watch time

Key metrics:
├── Total watch time (hours)
├── Average view duration (AVD)
├── Average percentage viewed

Why watch time matters:
├── #1 ranking factor
├── Signals content quality
├── Algorithm prioritizes
└── Determines monetization eligibility

AVD = Total watch time / Views

Benchmarks vary by:
├── Video length
├── Content type
├── Audience
└── Industry

General goals:
├── 50%+ of video length (good)
├── 70%+ (excellent)
├── Under 30% (needs work)

Shows:
├── Best performing videos
├── By views or watch time
├── Period comparison
├── Click untuk individual analytics

Retention graph shows:
├── When viewers drop off
├── Spikes (rewatched parts)
├── Dips (skipped/left)
└── Pattern analysis

Types:
├── Flat line = consistent engagement
├── Gradual decline = normal
├── Steep drop = problem area
├── Spikes = interesting moment

Shows:
├── Days most active
├── Hours most active
├── Based on your audience timezone
└── Use untuk schedule uploads

Best practice:
├── Upload 1-2 hours before peak
├── Consistent schedule
├── Test different times
└── Track pattern changes

Data includes:
├── Age groups
├── Gender distribution
├── Geographic locations
├── Top countries
├── Languages

Use for:
├── Content targeting
├── Language considerations
├── Cultural relevance
├── Monetization planning

Shows:
├── % views from subscribers
├── % from non-subscribers
├── Engagement comparison
└── Growth potential

Insights:
├── Low subscriber % = discoverability good
├── High subscriber % = loyal base
├── Balance is ideal
└── Non-subs = growth opportunity

Returning viewers:
├── Watched before
├── Loyalty indicator
├── Expect higher engagement
└── Core audience

New viewers:
├── First time on channel
├── Conversion opportunity
├── Subscribe potential
└── Discovery working

Metrics:
├── Estimated revenue (total)
├── RPM (Revenue Per Mille)
├── CPM (Cost Per Mille)
├── Playback-based CPM

CPM (Cost Per Mille):
├── What advertisers pay per 1000 ad impressions
├── Before YouTube's cut
├── Gross amount

RPM (Revenue Per Mille):
├── What you earn per 1000 views
├── After YouTube's 45% cut
├── Includes all revenue sources
├── Your actual earning metric

Formula:
RPM = (Estimated earnings / Views) × 1000

Breakdown by type:
├── Ads (display, overlay, video)
├── YouTube Premium
├── Channel memberships
├── Super Chat/Thanks
├── Merchandise
└── Shopping

Ad types:
├── Skippable video ads
├── Non-skippable video ads
├── Bumper ads
├── Display ads
├── Overlay ads

If applicable:
├── Merchandise sales
├── Ticketing
├── Paid memberships
├── Super features income
└── Per-transaction details

Methods:
1. YouTube Studio → Content → Click video → Analytics
2. Analytics → Top videos → Click specific video
3. Direct link dari video page

Available data:
├── All channel metrics, but for single video
├── More detailed retention graph
├── Traffic source specifics
├── Audience overlap info

Detailed view:
├── Second-by-second retention
├── Absolute vs relative percentage
├── Comparison with channel average
├── Key moments identified

Patterns to look for:
├── Hook effectiveness (0-30 sec)
├── Drop-off points
├── Rewatch spikes
├── End engagement

Per-video breakdown:
├── How viewers found this video
├── External site referrals
├── Search terms used
├── Suggested video pairs
└── Playlist inclusions

Compare:
├── Different time periods
├── Similar videos
├── Before/after changes
├── Channel vs video

How to compare:
1. Select metric
2. Click "Compare to..."
3. Choose period/video
4. Analyze differences

Find dalam YouTube Studio:
├── Searches your viewers make
├── Searches on YouTube
├── Content gaps
├── Trending topics
└── Competitor insights

Export options:
├── Download as CSV/Excel
├── Detailed raw data
├── Custom date ranges
├── Multiple metrics

Use for:
├── Deep analysis
├── External tools
├── Custom reports
├── Historical tracking

Based on data:
├── Identify best performing content
├── Understand why it works
├── Replicate success patterns
├── Avoid low-performing types
└── Test new ideas strategically

Test effectiveness:
├── Compare CTR across videos
├── Identify patterns in high CTR
├── A/B test (change thumbnail)
├── Track CTR changes over time
└── Learn audience preferences

Optimize timing:
├── Check when audience online
├── Test different days/times
├── Track first 24-48 hour performance
├── Establish consistent schedule
└── Announce schedule to audience

Grow strategically:
├── Understand demographic
├── Create content for them
├── Expand to adjacent audiences
├── International opportunities
└── Engagement strategies

Priority metrics:
├── Views: Volume indicator
├── Watch time: Quality indicator
├── AVD: Engagement indicator
├── Unique viewers: Reach indicator

Visibility indicators:
├── Impressions: Exposure
├── CTR: Appeal
├── Traffic sources: Discovery paths
├── External: Off-platform reach

Audience connection:
├── Likes/dislikes ratio
├── Comments: Active engagement
├── Shares: Advocacy
├── Subscribers gained: Conversion

Monetization health:
├── RPM: Actual earnings rate
├── CPM: Advertiser interest
├── Revenue sources: Diversification
├── Watch time: Eligibility maintenance

Avoid:
├── Obsessing over one metric
├── Ignoring context
├── Short-term thinking
├── Comparing to wrong channels
├── Not taking action

Better approach:
├── Look at trends, not snapshots
├── Consider multiple metrics
├── Long-term perspective
├── Compare to own history
├── Data-driven decisions

Focus on:
├── 3-5 key metrics
├── Weekly/monthly reviews
├── Actionable insights
├── Pattern recognition
└── Consistent tracking

Skip:
├── Daily obsessing
├── Vanity metrics
├── Irrelevant comparisons
├── Analysis paralysis