Classification of Metrics in Google Analytics Dashboard

 

 1. Classification of Metrics in Google Analytics Dashboard

Google Analytics metrics can be classified into 5 major categories:

1. Audience Metrics (User-Based)

Meaning: Information about users visiting your website

Key Metrics:

• Users
• New Users
• Sessions
• Returning Users

Relevance & Importance:

• Helps understand who your audience is
• Identifies growth of website traffic
• Measures user loyalty (new vs returning)

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2. Acquisition Metrics (Traffic Source)

Meaning: How users are coming to your website

Key Metrics:

• Traffic Source (Organic, Direct, Paid, Social)
• Source/Medium
• Campaign performance

Relevance & Importance:

• Shows which marketing channel is working
• Helps optimize SEO, SEM, Social Media
• Important for budget allocation

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3. Behavior Metrics (User Interaction)

Meaning: What users do on your website

Key Metrics:

• Bounce Rate
• Pages per Session
• Average Session Duration
• Page Views

Relevance & Importance:

• Indicates user engagement
• Helps improve website design & content
• Identifies problem pages

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4. Conversion Metrics (Goal Completion)

Meaning: Actions completed by users

Key Metrics:

• Conversion Rate
• Goal Completions
• Transactions
• Revenue

Relevance & Importance:

• Measures business success
• Tracks ROI (Return on Investment)
• Helps improve sales funnel

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5. Real-Time Metrics

Meaning: Live data of users on website

Key Metrics:

• Active Users
• Current Traffic Sources
• Pages being viewed

Relevance & Importance:

• Useful for campaign monitoring
• Helps during product launches
• Tracks instant performance

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✅ 2. Importance of Metrics in Google Analytics

Each type of metric helps in decision-making:

• Audience → Understand target customers
• Acquisition → Improve marketing strategies
• Behavior → Enhance user experience
• Conversion → Increase sales & leads
• Real-time → Monitor live performance

👉 Overall importance:

• Data-driven decisions
• Better marketing ROI
• Improved website performance

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✅ 3. What Kind of Analysis Can Be Done?

Using these metrics, we can perform:

1. Traffic Analysis

• Which channel brings most users?
• Example: Organic vs Paid performance

2. User Behavior Analysis

• Which pages users like?
• Where they drop off?

3. Conversion Funnel Analysis

• Steps from visit → purchase
• Identify where users leave

4. Campaign Performance Analysis

• Compare different marketing campaigns
• Identify best-performing ads

5. Audience Segmentation

• Analyze users based on:
  • Location
  • Device
  • Age

6. SEO Performance Analysis

• Track organic traffic
• Identify top landing pages