Research on Okeyhaul Purchasing Agent User Geographical Distribution Data in Spreadsheets and Market Expansion Planning
2025-04-27
1. Introduction
This report analyzes the geographical distribution of Okeyhaul purchasing agent users through spreadsheet data processing, aiming to identify market patterns and develop targeted expansion strategies.
2. Data Collection & Methodology
- Sources: User registration data, transaction records (2021-2023)
- Metrics Tracked:
- Regional user counts
- Average order value (AOV) by region
- Product category preferences
- Purchase frequency
Tools: Google Sheets with pivot tables, GeoCharts, and regression analysis.
3. Key Findings
| Region | User Count | AOV (USD) | Preferred Categories |
|---|---|---|---|
| Southeast Asia | 32,451 (42%) | $87 | Electronics, Cosmetics |
| North America | 18,227 (23%) | $156 | Luxury goods, Health products |
| Europe | 12,539 (16%) | $134 | Designer fashion, Local specialties |
| East Asia | 8,921 (12%) | $102 | Limited edition items |
| Other | 5,408 (7%) | $68 | Multi-category |
Demand Patterns:
- Southeast Asia:
- North America:
- Europe:
- North America:
4. Market Potential Analysis
Emerging Opportunities:
- Underpenetrated cities in Eastern Europe showing 38% MoM growth
- Secondary Southeast Asian cities with <5% current coverage but 3.2x search volume increase
- Spanish-speaking markets with high cross-border eCommerce adoption
5. Expansion Strategy
Phase 1 (Q3-Q4 2023): Target Prioritization
Tier 1 Markets
Jakarta, Hanoi, LA, Madrid
Actions:
Tier 2 Markets
Warsaw, Chengdu, Mexico City
Actions:
Resource Allocation:
- Budget: 60% to Tier 1, 30% Tier 2, 10% exploratory
- Projected 12-month user growth: 58-72% in focus regions
6. Performance Tracking
Implement dashboard with live metrics:
- Regional conversion funnels
- CLV (Customer Lifetime Value) heatmaps
- Shipping cost optimization alerts