Introduction

Orientdig, a global e-commerce platform specializing in cross-border shopping, leverages spreadsheets as a cost-effective tool to analyze user behavior paths and optimize the shopping journey. By embedding tracking points across its website, Orientdig collects granular data on user interactions and translates insights into actionable optimizations, thereby improving conversion rates and customer satisfaction.

Data Collection Strategy

The platform gathers three primary categories of behavioral data into structured spreadsheets:

• Browsing Behavior: Page visits, dwell time, button clicks, and scroll depth.
• Search Behavior: Keywords used, search frequency, and zero-results queries.
• Cart Actions: Product additions/removals, checkout initiation, and abandonment triggers.

This data is systematically logged via Google Sheets or Excel, with timestamps and session IDs for cross-referencing.

Behavior Path Visualization & Insights

Using spreadsheet add-ons (e.g., Google Data Studio or Tableau connectors), Orientdig maps common user paths through:

1. Funnel charts identifying drop-off points (e.g., 40% users exit during account registration).
2. Heatmap simulations showing ignored page sections (e.g., promotional banners).
3. A/B testing logs comparing old vs. redesigned product pages.

Optimization Framework

A dedicated spreadsheet tracker links pain points to solutions:

Impact & Future Plans

Post-optimization, monthly metrics showed:

• ↑15% completion rate for guest checkouts
• ↓22% bounce rate on category pages
• ↑33% repeat customer logins

Future iterations will integrate spreadsheet-powered predictive modeling to anticipate user needs.