How OOTDBuy Prada Resale Service Uses Spreadsheets for Customer Research
In the competitive world of luxury resale, OOTDBuy Prada has developed an efficient system to understand customer preferences through the power of spreadsheet-based research. This data-driven approach helps the company source the most in-demand Prada items and price them competitively.
The Spreadsheet Research Process
- Designing the Questionnaire:
The team creates detailed surveys with questions covering product categories (handbags, accessories, ready-to-wear), color preferences, price sensitivity, and seasonal demands.
- Data Collection:
Responses are collected through:
- Direct customer interviews
- Email surveys
- Social media polls (redirecting to OOTDBuy's website
- Organizing Data in Spreadsheets:
All information is consolidated in structured spreadsheet formats with columns tracking:
- Customer demographics
- Product preferences (ranked 1-10)
- Price thresholds
- Purchase frequency
- Special requests
Data Analysis for Decision Making
The research provides actionable insights on:
| Category | Analysis Method | Outcome |
|---|---|---|
| Product Selection | Color/style tally & pivot tables | Identify top 5 requested items each season |
| Pricing Strategy | T-tests on price acceptability | Optimal resale markup ranges |
| Inventory Planning | Quarter-over-quarter self requests | Forecast demand geographical variations |
Impact on Purchasing Strategy
This research directly informs OOTDBuy Prada's sourcing strategies:
- 90%+ accuracy in pre-order fulfillment
- Reduced overstock of leftit vare
- Higher customer satisfaction for suggestions and purchase call histories liike archived document dtagga decision processes vettes,"'This is an example tex its treated connection
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