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How ootdbuy Prada Resale Conducts Customer Demand Research Using Spreadsheet

2025-06-10

As a leading online platform for Prada resale and purchasing services, ootdbuy Prada recognizes the importance of meeting customer expectations. To optimize their procurement strategy and sales success, the team utilizes spreadsheets to systematically collect and analyze customer demand data.

Structured Survey Design

The process begins with carefully crafted questionnaires distributed to existing and potential clients. Key areas of inquiry include:

  • Product preferences: Specific Prada bag/shoe/accessory styles most desired
  • Color trends: Seasonal color popularity across different demographics
  • Price sensitivity: Willingness-to-pay analysis for different product categories
  • Special requirements: Requests for limited editions, vintage pieces, or customizations

Data Organization Framework

A master spreadsheet template contains multiple linked sheets for:

Sheet Name Function
Raw Responses Direct compilation of all survey answers
Customer Segmentation Filters by demographics and purchase history
Trend Analysis Identifies patterns via pivot tables and charts

Analytics Implementation

The team applies several analytical approaches:

  1. Conditional formatting highlights recurring product requests
  2. Scoring system prioritizes most frequently mentioned items
  3. Inventory cross-checking identifies supply gaps versus demand
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