Analyzing Okeyhaul Purchasing Agent User Geographic Data in Spreadsheets for Market Expansion Planning
2025-04-26
Introduction
As an emerging player in the purchasing agent (daigou) market, Okeyhaul aims to expand its business reach by strategically analyzing user geographic distribution data. This study utilizes spreadsheet tools (e.g., Google Sheets, Microsoft Excel) to examine regional user patterns, assess market potential, and develop targeted expansion strategies.
1. Data Collection & Spreadsheet Structuring
The study begins by organizing Okeyhaul's user database with the following columns in spreadsheets:
| Field | Description |
|---|---|
| User ID | Unique identifier for tracking |
| Region | Country/City of residence |
| Orders/YTD | Annual purchase frequency |
| Avg. Order Value | Consumer spending capability |
| Product Categories | Demand preferences (e.g., luxury, cosmetics) |
2. Regional User Analysis via Pivot Tables
Key spreadsheet analytical methods:
-
User Concentration Heatmap:
- ARPU (Average Revenue Per User):[Total Order Value]÷[Distinct User Count]
A scoring model assessed regions through spreadsheet formulas (weighted 0-10):
| Criteria | Weight |
|---|---|
| Existing user base size | 30% |
| Simulated Logistics Cost (VLOOKUP shipping data) | 20% |
Based on spreadsheet analysis (clustered in 3 tiers):
Tier 1 markets to aggressively expand:
a) Hong Kong & Singapore:Strategy: