As the year draws to a close, reviewing your annual shopping data is a powerful exercise for mindful spending and smarter purchasing. For users of the EastMallBuy platform, consolidating purchase history, quality control (QC) results, and refund activity into a single spreadsheet can unveil invaluable insights. This guide will walk you through how to effectively analyze your EastMallBuy Spreadsheet
Begin by exporting or compiling your yearly order history into a structured spreadsheet. Essential columns should include: With this data, create a Yearly Purchase Summary. Use spreadsheet functions to calculate:
Your spreadsheet's true power multiplies when you add Quality Control (QC) data. For each item, add columns for: Analyze this to find correlations between price points, sellers, and quality. You might discover that certain low-cost sellers consistently have lower QC pass rates, or that a specific category (like appliances) has more QC issues than others. This transforms subjective feeling into objective data. Add a dedicated section or sheet for Refund Activity. Key data points include: Calculate your total refund amount and count
Now, cross-reference all three datasets to form a comprehensive view. Ask yourself: An annual review of your EastMallBuy Spreadsheetannual purchases, QC results, and refund activity, you empower yourself to make data-driven decisions. You can reward reliable sellersadjust your budget
Pro Tip:
Step 1: Consolidate Your Annual Purchase Data
Total Annual Spend, Average Order Value, Most Frequent Purchase Categories, and Peak Shopping Months.
Visualizing this with a pie chart for categories or a monthly trend line can immediately highlight your spending patterns.Step 2: Integrate and Analyze QC Results
Step 3: Summarize Refund and Dispute Activity
Step 4: Synthesize Insights for Actionable Goals
Conclusion: Towards Smarter Shopping
EastMallBuy: Your Guide to Reviewing Yearly Shopping Data
2026-02-21