Conversion Funnel Analytics: Understanding Your Store's Sales Performance

Conversion Funnel Analytics: Understanding Your Store's Sales Performance

By Michael Turner

January 17, 2025 at 06:52 PM

Understand how customers move through your online store's sales journey with the Conversion Funnel Analysis. This tool tracks visitor behavior from site visits to final purchases.

Key Features:

  • Track visitor-to-purchase conversion rates
  • Identify where customers drop off
  • Monitor how store changes affect sales
  • Available for Commerce Plans and Digital Products sellers

The Four Stages of Purchase:

  1. Visits
  • Counts total browsing sessions
  • Each session may include multiple page views
  1. Products Viewed
  • Tracks visits where customers view products
  • Includes Product Information Pages and Quick View
  • Excludes Product Block and Member Signup views
  1. Cart Addition/Checkout
  • Records when items are added to cart
  • With express checkout, shows "Buy Now" button clicks
  • For member sites, displays "Purchase started" or "Added to cart"
  1. Purchased
  • Shows completed transactions during the visit

Conversion Analysis Tools:

Stage Percentages

  • Shows conversion rates between stages
  • Example: "60%" means 60% of visitors viewed a product

Timeline Graph

  • Displays funnel stages over time
  • Color-coded for each stage
  • Hover for specific day/time data
  • Adjustable time scale

Impact Tracking: Monitor how these changes affect conversions:

  • Marketing strategy adjustments
  • Pricing and shipping offers
  • Special promotions
  • Website design updates

Data Considerations:

  • Late-night sessions may split across days
  • Product views only count on specific pages
  • Cart metrics may vary slightly between reports

Use this data to:

  • Optimize your sales process
  • Identify improvement opportunities
  • Track marketing effectiveness
  • Make informed business decisions

The Conversion Funnel provides valuable insights to help improve your online store's performance and increase sales through data-driven decisions.

Related Articles

Previous Articles