In the competitive world of cross-border purchasing, Ezbuycn alleviates agent challenges with a data-driven approach. Leveraging spreadsheets to analyze past performance, consumer behavior, and inventory metrics, the app empowers effective promotional design and accurate outcome prediction.
Ezbuycn's spreadsheet system integrates three key datasets:
Custom data models transform raw numbers into visual dashboards highlighting optimal discount thresholds and customer response patterns.
Agents configure new promotions through template-defined fields:
The Scenario Wizard projects outcomes across different approaches—showing how a 20% flash sale compares to free-shipping activation for identical merchandise.
Key forecasting outputs include:
| Model | Output Metric | Adjustment Impact |
|---|---|---|
| Price Elasticity | Expected unit lift | ±3% per 5% price change |
| Customer Cohort | Repeat purchase probability | +7% with loyalty stack |
The auto-recommendation engine suggests refined parameters—like shifting a skincare promo from Q2 to cherry blossom season after detecting +22% historical spring demand.
Case Study: A NZ dairy agent increased clearance speed by 40% after spreadsheets indicated bundling infant formula with complimentary teethers outperformed solo discounts.
Post-campaign results get automatically fed back into the system—enhouncing predictive accuracy through machine learning. Version tracking allows comparing projected vs. actual margin across all initiatives.