How to Build a Knowledge Graph for the Reselling Industry Using Mulebuy Spreadsheet
2025-07-01
Creating a Product Network for Competitive Insights
Resellers can leverage Mulebuy
Social Data Integration from Multiple Sources
Cross-referencing spreadsheet data with Reddit discussion patterns reveals untapped opportunities:
| User Segment | Preferred Brands | Price Sensitivity |
|---|---|---|
| Luxury collectors | LV, Hermès, Chanel | Low |
| Streetwear enthusiasts | Gucci, Balenciaga, Dior | Medium-High |
| Gift shoppers | Variable combinations | High |
"Mapping r/FashionReps discussion trends to purchase histories helped 12 Discord groups identify undervalued bundle opportunities" - Mulebuy Analytics Team
Operational Impact and Measurable Results
The knowledge graph methodology delivers concrete business improvements:
- 35% average order value increase
- 17% reduction in customer acquisition costs via targeted outreach
- 8-12% higher customer retention when using AI-generated bundle recommendations
Implementation requires three spreadsheet tabs: raw transaction data, user behavior attributes, and dynamic relationship matrices updated weekly.