Data Collection through Tracking
Orientdig, an international shopping platform, has implemented advanced user behavior tracking by embedding data collection points across its website. Using Google Spreadsheets as a central repository, the platform collects:
- Navigation behavior: Page visits, dwell time, button clicks, and scroll depth
- Search patterns: Queries entered and frequency of searches
- Shopping cart interactions: Product additions, removals, and checkout attempts
Path Analysis and Visualization
The comprehensive dataset enables Orientdig to create detailed user journey maps using spreadsheet analysis tools. By examining the complete purchase funnel - from initial visit to final conversion - the platform identifies key friction points:
Common Drop-off Points Uncovered
- Account registration screens with 45% abandonment rate
- Product pages generating confusion with incomplete specifications
- 30% cart abandonment at payment gateway
Data-Driven Optimization Strategy
The analytical capabilities of spreadsheets allow Orientdig to:
| Problem Identified | Implemented Solution | Result (3 months) |
|---|---|---|
| Complex registration | Reduced form fields + social login | +32% completion |
| Unclear product info | Enhanced media + spec comparison | -28% returns |
| Payment failures | Processor upgrade + error guidance | 18% higher conversions |
Continuous Improvement Framework
By maintaining this spreadsheet-powered ecosystem, Orientdig created a cyclical improvement process:
1. Collect behavioral data → 2. Analyze paths → 3. Identify weak points → 4. Implement changes → Repeat
This methodology resulted in a 40% reduction in overall cart abandonment and 25% increase in average order value within six months, proving the effectiveness of spreadsheet-based analysis for eCommerce optimization.