Building a Seller Rating System in Your LoveGoBuy Spreadsheet
Organizing your purchasing data on LoveGoBuy
Start by adding these three fundamental scoring columns next to your existing order data. They target the most critical aspects of a purchasing agent's service. Consistency is key. Define clear criteria for each point on your 1-5 scale. For example: Add a Notes/Comment
With data accumulated over several purchases, use your spreadsheet's functions to unlock powerful insights. Use Ask questions of your data: Do sellers with high communication scores also have better QC accuracy? Do prices from a certain agent consistently creep up? Spotting these patterns helps you refine your criteria and choose the best agent for your priority—be it perfect quality, lowest price, or best service. This system transforms subjective feeling into objective history. When choosing an agent for a valuable item, you can now confidently filter sellers with a composite score above 4.5
This lightweight Seller Rating System
Step 1: Define Your Core Rating Columns
Column Name
Purpose
Suggested Scale
QC Accuracy Score
Measures the accuracy of Quality Control photos against your order specifications and the seller's product page. Did the received item match the description, color, and shown quality?
1-5 (Poor - Excellent)
Price Reliability Score
Tracks if the final item price, including domestic shipping to the warehouse, matched the initial quote or was reasonable. Penalizes hidden fees or significant price inflation.
1-5 (Unreliable - Highly Reliable)
Communication Score
Evaluates the seller's responsiveness and helpfulness in addressing pre- or post-purchase questions, issues, or special requests.
1-5 (Unresponsive - Proactive)
Step 2: Implement the Scoring System
Step 3: Generate Long-Term Data Insights
Create Seller Overviews
AVERAGEIFaverage score per categoryoverall composite score. This instantly highlights your top-performing and most problematic agents.Identify Correlations & Trends
Make Predictive Purchasing Decisions
Conclusion