Home > LoveGoBuy: How to Compare Seller Performance Using Spreadsheet Data

LoveGoBuy: How to Compare Seller Performance Using Spreadsheet Data

2025-11-21

For savvy LoveGoBuy users, selecting the right sellers isn't just about price—it's about reliability. By leveraging your purchase history data, you can systematically identify which sellers deliver the best quality and fastest shipping. This guide will show you how to use simple spreadsheet analysis to optimize your LoveGoBuy portfolio.

Gathering Your Data

The first step is to export your LoveGoBuy order history. Look for an "Export to CSV" or "Download Spreadsheet" option in your account section. Ensure your data includes the following critical columns:

Calculating Key Performance Indicators (KPIs)

With your data in a spreadsheet, you can calculate two crucial metrics for each seller.

1. Historical QC Pass Rate

The QC Pass Rate is a direct indicator of product quality and seller honesty.

How to Calculate:

  1. Count the total number of orders placed with a specific seller.
  2. Count the number of those orders that had a "Pass" status in the QC column.
  3. Divide the number of passed orders by the total number of orders and multiply by 100 to get a percentage.

Formula:(Number of QC Passed Orders / Total Orders from Seller) * 100

A seller with a 98% pass rate is demonstrably more reliable than one with an 80% rate, significantly reducing the risk of returns and exchanges.

2. Average Delivery Time

This metric measures a seller's operational efficiency in getting the product from their warehouse to yours.

How to Calculate:

  1. For each order, calculate the time between the "Order Date" and the "Delivery Date" at the LoveGoBuy warehouse.
  2. For a specific seller, average these time durations for all their completed orders.

Formula:AVERAGE(Delivery Date - Order Date)

This helps you identify sellers who are slow to dispatch, which can delay your entire consolidated shipment.

Creating Your Seller Comparison Dashboard

Now, synthesize this data into an actionable overview.

  1. Create a new sheet in your workbook.
  2. List all your sellers in the first column.
  3. In the adjacent columns, input their calculated QC Pass Rate %Average Delivery Time (Days).
  4. Use conditional formatting to color-code the results (e.g., green for high pass rates, red for low ones).

Tips for Analysis:

  • Look for Consistency:
  • Beware of Small Sample Sizes:
  • Segment by Product Type:

Taking Action on Your Findings

Your dashboard is a powerful decision-making tool.

  • For High-Performing Sellers:
  • For Underperforming Sellers:
  • For New Purchases:

Conclusion

Transforming your raw LoveGoBuy data into a Seller Performance Dashboard empowers you to make informed, data-driven purchasing decisions. By consistently tracking QC pass rates and delivery times, you can systematically minimize risk, reduce shipping delays, and build a portfolio of sellers you can truly trust. Start analyzing today and turn your historical data into future savings and peace of mind.

```