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Web Analytics

The collection, measurement, and analysis of website data to understand user behavior and improve performance.

Web analytics is the collection, measurement, and analysis of website data. It helps you understand who visits your site, how they got there, what they do, and whether they're converting. Without analytics, you're making decisions based on guesswork.

What Analytics Tracks

Traffic Sources

Where visitors come from:

  • Organic search: Google, Bing
  • Paid search: Google Ads, Bing Ads
  • Social: Facebook, LinkedIn, Twitter
  • Direct: Typed URL or bookmarks
  • Referral: Links from other sites
  • Email: Newsletter campaigns

User Behavior

What visitors do:

  • Pages viewed
  • Time on site
  • Scroll depth
  • Clicks and interactions
  • Navigation paths
  • Exit pages

Conversions

Goal completions:

  • Purchases
  • Form submissions
  • Downloads
  • Sign-ups

Demographics

Who visitors are:

  • Location
  • Device type
  • Browser
  • Language

Key Metrics

Acquisition

  • Sessions: Individual visits
  • Users: Unique visitors
  • Traffic by source: Where they came from

Engagement

  • Bounce rate: Single-page visits
  • Pages per session: Depth of visit
  • Average session duration: Time spent

Conversion

  • Conversion rate: Percentage who convert
  • Goal completions: Total conversions
  • Revenue: For e-commerce

Popular Analytics Tools

Google Analytics 4 (GA4)

  • Free, powerful, industry standard
  • Event-based tracking
  • Machine learning insights
  • Integration with Google Ads

Other Tools

  • Plausible: Privacy-focused, simple
  • Fathom: Privacy-first, clean UI
  • Mixpanel: Product analytics
  • Amplitude: User journey focus
  • Heap: Auto-capture everything

Analytics Implementation

  1. Install tracking code on all pages
  2. Set up goals/conversions to track
  3. Configure events for key interactions
  4. Filter internal traffic (your own visits)
  5. Create dashboards for key metrics
  6. Review regularly and take action

Privacy Considerations

  • GDPR and CCPA compliance
  • Cookie consent requirements
  • IP anonymization
  • Data retention policies
  • User opt-out options