What Your Traffic Data Shows: Analyzing Sources in Squarespace Analytics

What Your Traffic Data Shows: Analyzing Sources in Squarespace Analytics

By Michael Chen

January 10, 2025 at 03:12 PM

Traffic Source Analysis in Squarespace provides detailed insights into channel performance and visitor behavior. Here's what you need to know:

Traffic Source Overview

  • Tracks visits, orders, and revenue from different channels
  • Shows which marketing efforts drive the most value
  • Helps optimize marketing strategy based on performance data

Available Metrics by Plan Type:

Website Plans (Personal, Business, Basic):

  • Traffic sources by visit
  • Basic channel tracking
  • Combined paid channel metrics

Commerce Plans (Core, Plus, Advanced):

  • Detailed revenue tracking
  • Order analytics
  • Conversion rates
  • Campaign-specific tracking
  • Separated paid channel metrics

Main Traffic Channels:

Direct Traffic:

  • Visitors typing URL directly
  • Links opened in new windows
  • Some logged-out admin visits

Search Traffic:

  • Organic search engine results
  • Paid search results (tracked separately in Commerce plans)

Social Media:

  • Organic social media traffic
  • Platforms include Facebook, Instagram, LinkedIn, Pinterest, YouTube, X
  • Paid social tracked separately in Commerce plans

Email Traffic:

  • Email marketing campaigns
  • Newsletter clicks
  • Form submissions

Referral Traffic:

  • Links from other websites
  • Blogs and content mentions
  • Non-categorized sources

Paid Channels:

  • Display ads
  • Paid search
  • Paid social media
  • Tracked separately in Commerce plans

Key Performance Indicators (KPIs):

Basic KPIs (All Plans):

  • Total visits
  • Traffic source breakdown
  • Channel performance

Advanced KPIs (Commerce Plans):

  • Revenue
  • Orders
  • Conversion rate
  • Average order value (AOV)
  • Revenue per visit (RPV)

Data Analysis Features:

  • Date range filtering (from January 2014)
  • Daily, weekly, monthly views
  • Detailed breakdown tables
  • Source-specific path analysis
  • Campaign tracking

Important Considerations:

Attribution Model:

  • Based on "last click" before purchase
  • Subscription renewals filtered out
  • Initial subscription purchases included

SSL Impact:

  • Different SSL settings may affect referral tracking
  • Secure/insecure mismatches show as direct traffic

Reporting Accuracy:

  • Some discrepancies normal between traffic and sales data
  • Time zone and visit duration can affect attribution
  • Campaign tracking requires proper link setup

Using this data effectively helps optimize marketing strategies and improve return on investment across all channels.

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