EastMallBuy: Analyzing Your Annual Shopping Data
Transforming your yearly purchase records into actionable insights.
Why Review Your Yearly Shopping Data?
Your EastMallBuy spreadsheetRegular analysis
Before you begin your analysis, ensure you have collected the following information throughout the year: Begin by organizing your spending into logical categories within your spreadsheet: This initial organization will reveal your spending patterns across different product types and time periods. Integrate your QC data to evaluate product reliability: Examine your refund patterns to understand problem areas: Create a seller scorecard to identify your most reliable partners: Use these formulas in your EastMallBuy spreadsheet: Based on your findings: A thorough review of your EastMallBuy data provides valuable insights for optimizing your shopping strategy. Annual analysis turns raw data into smarter purchasing decisions.Gathering Your Data Sources
Step 1: Categorize Your Purchases
Step 2: Analyze Quality Control Results
Step 3: Review Refund and Return Activity
Metric
What It Reveals
Refund Rate by Seller
Seller reliability and product quality consistency
Refund Reason Analysis
Common issues with products or merchants
Refund Timeframe
Seller responsiveness and process efficiency
Step 4: Evaluate Seller Performance
Step 5: Calculate Key Metrics
Creating Your Action Plan
Key Takeaways