Leveraging Spreadsheets for User Behavior Path Analysis and Shopping Experience Optimization on Orientdig's E-commerce Platform

Orientdig, a prominent online代购 (daigou) platform, has employed an effective data-driven strategy to enhance user experience by integrating website data tracking with spreadsheet-based analysis. By embedding tracking points across web pages, the platform collects comprehensive user interaction data, such as visited pages, time spent, button clicks, scroll depth, search keywords and frequency, as well as cart activities—adding items, removing products, and checkout actions. All captured data is systematically recorded into spreadsheets for further examination.

Using robust data analysis tools, the team visualizes user behavior path flows, mapping the entire journey from entry to either completed purchase or exit. This path analysis helps identify critical drop-off points, such as cumbersome registration processes, unclear product details, or payment delays. These insights allow the team to quantify user流失率 (churn rate) at specific pages and pinpoint obstacles in the conversion funnel.

Based on the findings documented in spreadsheets, Orientdig designs targeted optimization strategies. These include redesigning problematic pages, streamlining operational flows, and enhancing content clarity. Subsequent improvements focus on smoothing the user pathway, reducing friction, and elevating overall satisfaction and trust.

As a result, Orientdig not only decreases user abandonment but also boosts conversion rates and fosters lasting customer loyalty. This spreadsheet-centric approach proves that even conventional tools like spreadsheets can play a pivotal role in refining digital user experiences when coupled with thoughtful data collection and analytical rigor.