This repository documents real-world observations on promotional logic, newsletter onboarding, and pricing behavior across modern e-commerce platforms.
The focus is on user-side behavioral analysis and configuration patterns, not on exploitation or automation.
- Newsletter welcome incentives
- Promo code acceptance / rejection
- Platform-specific promotional behavior
- Pricing differences across regions
- Monolithic vs composable e-commerce patterns
No private data is collected. All tests are performed manually from a standard user perspective.
- Passive observation
- Manual testing based on common industry conventions
- Comparative analysis across multiple retailers
- Client-side inspection using browser DevTools (Network tab)
- Screenshot-based documentation
Context
A quality-focused retailer states:
- No seasonal sales
- No Black Friday
- No newsletter welcome discount
The website footer indicates: Powered by Shopify.
Observation
Despite no visible incentive during newsletter signup,
the checkout accepted a standard welcome promo code.
Tested Patterns
- NEW10
- WELCOME10
- FIRST10
Result
The code WELCOME10 was accepted and applied a discount.
Interpretation Observed behavior is consistent with:
- Active promo rules not exposed on the frontend
- Legacy or default Shopify discount configurations
- Misalignment between brand communication and backend rules
Context
A limited collaboration item (Salomon x MM6 Maison Margiela):
- Frequently sold out
- Promo codes explicitly excluded by most retailers
Observation
Across several retailers, the same welcome promo code was rejected.
One retailer, however, accepted the code and applied a discount.
Interpretation Observed behavior is consistent with:
- Inconsistent product-level exclusion rules
- Promotion inheritance misconfiguration
- Differences in platform or rule engine implementation
Context
The same product was viewed on a well-known Global retailer:
- From Italy (Italian language, local IP)
- From France (French language, VPN-based IP)
Observation The French version displayed a slightly lower price for the same item.
Interpretation Observed behavior is consistent with:
- Geo-based pricing strategies
- Regional price books
- VAT differences and currency rounding
- Multi-store enterprise pricing logic
This behavior does not represent a discount, but a market-specific pricing configuration.
| Pattern | Observed Behavior |
|---|---|
| Shopify (monolithic) | Global promo rules may remain active |
| Enterprise platforms | Strong SKU-level exclusions |
| ESP-driven flows | Welcome codes active without explicit display |
| Multi-region stores | Price differentiation by country |
This repository documents observable e-commerce behavior to understand customer experience gaps and configuration patterns.
No safeguards are bypassed. No automation or brute-force techniques are used.