Home > LoveGoBuy: Mastering Your Yearly Order Data Analysis

LoveGoBuy: Mastering Your Yearly Order Data Analysis

2026-02-19

Leverage the LoveGoBuy Spreadsheet to Track Spending, Refunds, and Quality for Smarter Shopping.

Why Analyze Your Yearly Data?

For consistent online shoppers, particularly through agents like LoveGoBuy, yearly data is more than just numbers—it's a strategic map. Reviewing your annual order history transforms scattered purchases into actionable insights. You move from guessing to knowing which sellers deliver quality, which items are refund-prone, and ultimately, how to optimize your budget and satisfaction for the year ahead.

The LoveGoBuy Spreadsheet: Your Central Hub

LoveGoBuy provides detailed order data. The key is to consolidate this information, typically by exporting or manually logging each order into a master spreadsheet. Essential columns to include are:

Column Data to Record Purpose
Order Date When you placed the order. Track shopping frequency & seasonal trends.
Seller/Store Name The Taobao/Weidian store name. Identify repeat, trusted sellers.
Item & Price Item description and cost in CNY. Calculate total spending and average item cost.
QC Result Pass, or details of any flaws found. Gauge seller quality and QC effectiveness.
Refund Status Full/Partial refund or exchange. Pinpoint problem items or sellers.
Shipping Cost Final domestic/international freight. Understand true total cost per item.

Key Metrics to Calculate for Long-Term Efficiency

1. Total Investment & Cost Per Item

Sum all item costs and shipping fees. Divide by the number of items kept (excluding refunds) to find your true cost per item. This reveals your actual spending beyond the sticker price.

2. Seller Trust Score

For each recurring seller, calculate:
(Number of Successful Orders) / (Total Orders from Seller) * 100. Sellers with a high score and multiple orders become your trusted list.

3. Refund & QC Issue Rate

Calculate your yearly refund rate:
(Value of Refunded Items / Total Order Value) * 100. Also, note which item categories had the most QC failures. This helps you avoid risky purchases.

4. Shopping Rhythm Analysis

Chart your orders by month. Identify peak spending periods and months of high refund activity. This allows for better budget planning and emotional spending checks.

Actionable Insights: From Data to Decision

  • Build Your Trusted Sellers List:
  • Create a "Blacklist":
  • Adjust Your QC Focus:
  • Set a Smarter Budget:

Conclusion

A yearly review of your LoveGoBuy data is not an accounting chore—it's an investment in future shopping efficiency. By systematically summarizing orders, refunds, and QC performance in a dedicated spreadsheet, you transform raw data into a powerful tool. You empower yourself to make informed decisions, strengthen relationships with reliable sellers, and ultimately ensure every yuan spent brings maximum value and satisfaction.

Start your new year with insights, not just intentions.