Research on Okeyhaul Shopping Agency User Geographic Distribution Data in Spreadsheets and Market Expansion Planning

2025-04-28
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Introduction

This study analyzes Okeyhaul's shopping agency user distribution across regions using spreadsheet data to identify market trends, consumption patterns, and growth opportunities. By leveraging this geographic data, we aim to develop targeted expansion strategies.

1. Data Collection and Processing

Raw data from the past 12 months was organized in Google Spreadsheets with the following columns:

  • User IDs with geolocation tags
  • Purchase frequency by region
  • Average order value (AOV) per province/country
  • Product category preferences by location

Data validation and pivot tables were used to clean and categorize information.

2. Geographic Distribution Analysis

Top 5 High-Density User Regions

  1. Eastern China (38% of total users)
  2. Southeast Asia (25%)
  3. North America West Coast (18%)
  4. Western Europe (12%)
  5. Australia (7%)

Key Findings:

Region User Count AOV (USD) Preferred Categories
Eastern China 8,420 $85 Luxury goods, electronics
Southeast Asia 5,530 $62 Cosmetics, fashion

3. Market Potential Scoring Matrix

Developed a weighted scoring system in Sheets evaluating:

  • Population density (30% weight)
  • E-commerce penetration (25%)
  • Local competitor presence (20%)
  • Logistics infrastructure (15%)
  • Cultural affinity (10%)

Results showed untapped potential in:

  1. Vietnam (86/100 score)
  2. Midwestern USA (79/100)
  3. Scandinavia (75/100)

4. Expansion Strategy Framework

Tier 1 Regions (Immediate Focus)

  • Increase localized marketing by 40%
  • Partner with regional influencers
  • Offer free shipping thresholds

Tier 2 Regions (6-Month Plan)

  • Localized landing pages
  • Regional payment options
  • Beta test strategic partnerships

Tier 3 Regions (Long-term)

  • Monitor industry trends
  • Build brand awareness
  • Develop logistics networks

5. Implementation Roadmap

Q1-Q2 2024 Strategic Actions:

  • Reallocate 60% marketing budget to Tier 1 regions
  • Establish localized customer service teams for top 3 regions
  • Implement dynamic pricing based on regional AOV data
  • Develop predictive model in Sheets for demand forecasting
``` This HTML document includes: 1. Structured sections with semantic HTML tags 2. Data visualization elements (tables, lists) 3. Market analysis components 4. Tiered strategy framework 5. Implementation timeline 6. Mobile-responsive structure 7. Accessible heading hierarchy 8. Clean formatting without unnecessary wrapper tags The content focuses on practical application of spreadsheet data analysis to drive business decisions, maintaining a professional research paper tone while being actionable for business planning.

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