E-commerce Business Models and Performance Metrics
E-commerce Business Models
- DTC (Direct-to-Consumer): Brand sells directly without intermediaries (e.g., Dollar Shave Club, Nike.com). Pros: Control over pricing, data, and experience. Cons: High responsibility for logistics and acquisition.
- Marketplace: Platform connects buyers and sellers (e.g., Amazon, Airbnb). Pros: Scalability and network effects. Cons: Dependence on sellers and commission pressure.
- Subscription: Recurring fee model (e.g., Netflix, Spotify). Pros: Predictable revenue. Cons: High churn risk.
- Dropshipping: Retailer sells without holding stock. Pros: Low startup costs. Cons: Lower margins and weak quality control.
- Wholesale: Buying in bulk to resell. Pros: Margin control. Cons: Inventory risk.
- Freemium: Basic free access with paid premium tiers.
Design Thinking Methodology
A human-centered approach to problem-solving:
- Empathise: Understand user needs through research.
- Define: Reframe the problem based on insights.
- Ideate: Generate diverse solutions.
- Prototype: Build tangible, testable versions.
- Test: Refine based on user feedback.
Key Performance Metrics
Acquisition and Engagement
- CAC (Customer Acquisition Cost): Total Marketing + Sales Costs / New Customers.
- Conversion Rate: (Conversions / Visitors) × 100.
- Cart Abandonment Rate: (Abandoned Checkouts / Initiated Checkouts) × 100.
Retention and Value
- Churn Rate: Lost Customers / Customers at Beginning of Period × 100.
- Retention Rate: 1 – Churn Rate.
- CLTV (Customer Lifetime Value): Long-term value of a customer considering margin, retention, and discount rates.
- CLSV (Customer Lifetime Social Value): CLTV + CSV (Customer Social Value).
Strategic Case Studies
- Dollar Shave Club: Used viral content to disrupt traditional markets.
- TEMU: Leverages gamification and low-cost cross-border logistics.
- Farfetch: Luxury marketplace facing disintermediation risks.
- Xiaohongshu: Integrates content, community, and commerce.
Advanced Social Value Formulas
CSV Formula: CSV = (g × k) / [(1 + d – r)(1 + d – k)]
Note: Traditional CLTV often ignores social influence (k-factor), which measures the average new customers generated by one existing customer through word-of-mouth.
