User Profiling and Precision Marketing in E-commerce Platforms and Reseller Websites: A Spreadsheet-based Approach
Abstract:
The workflow implements:
k-means Clustering:
Apriori Algorithm:
Predictive Scoring:
Implemented profile-triggered discounts: Key Finding: Spreadsheet-based models achieved 92% accuracy
1. Data Collection Framework
1.1 Multi-source Data Aggregation
Data Category
Example Fields
Collection Method
Identity Data
User tier, Registration date
API integration
Behavioral Data
Clickstream, Dwell time
Tracking pixels
Commercial Data
RFM scores, Coupon usage
Order export
2. Spreadsheet-based User Profiling
2.1 Google Sheets Implementation
=QUERY(IMPORTRANGE("spreadsheet_key","SELECT Col1,Col2 WHERE Col3>'2023-01-01'")
Automated Profile Building:
3. Precision Marketing Applications
3.1 Personalization Strategies
Cosmetics Sales Campaign
=IF(AND(SkinCare_Interest>80, LastPurchase<30), "15%_Cream", "5%_General")
4. Implementation Recommendations
5. Code Snippets for Segment Export
function exportHighValueUsers() {
const sheet = SpreadsheetApp.openById('ABC123');
// ...segmentation logic...
}