How to Filter Genuine Basetao AJ Reviews on Spreadsheet for Cross-border Shopping
In the complex world of sneaker reselling, identifying authentic Air Jordan (AJ) products is a challenge. Service platforms like Basetao
Why Basetao Spreadsheet Filtering Matters
Basetao’s product reviews (e.g., for AJ1s or Off-White collaborations) often mix genuine user experiences with bots or paid reviews. The spreadsheet feature—visible in your order dashboard—allows granular data analysis to spot trends like:
- Consistent rating distributions
- Repetitive keyword patterns
- Verified purchase tags
Step-by-Step Review Filtering
1. Sort Reviews by "Media Attachments"
Genuine buyers often upload in-hand photos/videos. Use the spreadsheet’s filter to prioritize reviews with media (Column F in Basetao’s template). Cross-check images against AJ stitching, heel shape, and box labeling flaws.
2. Flag High-Risk Reviews
Create a spreadsheet column to label suspicious entries (e.g., "1-hour-old account," "copy-pasted text"). Formulas like =IF(LEN(Review_Text)<100,"Short: Check",IF(COUNTIF(Review_Text,"*perfect*")>1,"Overused词","OK"))
3. Analyze Seller Response Rates
Liquid authenticity enjoy act Age A legitimate seller usually responds to critical reviews (e.g., "Toe box too wide"). Filter the "Seller Reply" column (Column H) for nuanced interactions—generic replies like "Contact us" may signal red flags.
Key Data Points in Basetao’s AJ Reviews
Column | Purpose | Trust Signal |
---|---|---|
Review Text Length | Detailed vs. generic | 150+ characters |
Review Age | Time since purchase | ≥2 weeks (avoids hype bias) |
Star Rating Variance | Consistency | 3.5–4.8 (too-polarized scores are suspect) |
Field-Tested Tip
For AJ4s or other high-rep pairs, export the spreadsheet as CSVlive product pages
`, ``, and `` improve scanability.