Navigating Chinese e-commerce platforms like Weidian and Taobao can be daunting due to language barriers and concerns about seller reliability. LoongBuy's public spreadsheet dataset simplifies this process by aggregating verified seller information. This tutorial guides you on how to use its powerful filters to quickly identify trustworthy stores.
Understanding the LoongBuy Spreadsheet Columns
The spreadsheet is your gateway to a curated list of sellers. Three key columns are essential for your verification:
- Product Category:
- Feedback Score:
- Average QC Success Rate:
- Feedback Score:
Step-by-Step Filtering Guide
Follow these steps to narrow down the list and find the best sellers for your needs.
Step 1: Filter by Product Category
First, locate the "Product Category" column. Use the dropdown filter menu to select your specific category of interest, such as "Men's Shoes" or "Women's Dresses". This instantly removes all unrelated sellers, allowing you to focus on relevant stores.
Step 2: Sort by Feedback Score
With your category selected, turn your attention to the "Feedback Score" column. Click the filter icon and choose Sort Z → A
For the final and most crucial step, filter the "Average QC Success Rate" column. Apply a custom filter condition
Step 3: Filter by Minimum QC Success Rate
Interpreting Your Results
After applying these three filters, the remaining sellers in the spreadsheet represent a shortlist of highly reliable options. Prioritize stores that appear at the intersection of all your criteria:
- A seller in your desired category with a Feedback Score above 4.8QC Rate above 97%
- Always cross-reference the spreadsheet data by checking the seller's store link (if provided) and reading recent community feedback on platforms like Reddit or Discord for the most current information.
Pro Tips for Effective Use
Maximize the utility of the LoongBuy dataset with these additional strategies:
- Combine Filters:
- Check Update Date:
- Bookmark Your Finds:
- Check Update Date:
By systematically using the Product Category, Feedback Score, and Average QC Success Rate