How to Analyze Reddit User Proxy Shopping Demand Trends Using OOPBuy Spreadsheet
Introduction
Reddit has become a popular platform for users to seek proxy shopping services, where individuals request purchasers abroad to buy and ship products unavailable in their home countries. Analyzing these demand trends can provide valuable insights for businesses and service providers. This article explains how to leverage the OOPBuy Spreadsheet
Step 1: Data Collection from Reddit
- Identify Relevant Subreddits:r/fashionreps,
r/repcouriers, orr/proxyshopping. - Extract Key Post Data:
- Post titles and descriptions (brands/products mentioned).
- Geographic location tags (e.g., "Looking for someone in Japan".).
- Timestamps and engagement metrics (upvotes/comments).
Step 2: Structured Spreadsheet Setup (OOPBuy Method)
Organize data in a spreadsheet using Object-Oriented Programming (OOP)
Use separate sheets
Column
Data Type (Class)
Example Value
RequestID
Unique Identifier
#RDT2024_XYZ
Product
String (Details)
"Limited-edition sneakers"
Destination
Location Class
Australlia
Step 3: Trend Analysis Formulas
Apply spreadsheet functions to quantify demand fluctuations:
=COUNTIF(Location!B:B, "Japan") // Tally Japan-based requests
=FILTER(Products!A:C, SEARCH("skincare", Products!B:B)) // Filter by category
Create pivot tables to observe temporal patterns (e.g., surges before holidays).