Unit Economics for African E-Commerce
Understand the true profit or loss on every order you fulfil, from customer acquisition through delivery to your doorstep in Africa.
Key Takeaways
- Unit economics measure the revenue and cost associated with a single unit of your business, typically one order or one customer.
- Many African e-commerce businesses lose money on every order due to high delivery and payment processing costs.
- A positive contribution margin per order is the minimum threshold for a viable business model.
- AskBiz calculates unit economics per order, per product, and per customer segment automatically.
Why Unit Economics Matter
Unit economics strip away the complexity of a full P&L and focus on a single transaction. If you sell a dress on your Shopify store for GHS 200, what does it actually cost to acquire that customer, buy or make the product, package it, deliver it, and process the payment? If the total exceeds GHS 200, you lose money on every sale. No amount of volume fixes that. African e-commerce faces uniquely high per-order costs because of expensive last-mile delivery, high payment processing fees on mobile money, and significant return rates. Understanding your unit economics is the difference between scaling a business and scaling your losses.
The Contribution Margin Formula
Contribution margin per order equals order revenue minus all variable costs for that order. Variable costs include product cost, packaging, delivery fee, payment gateway or mobile money fee, and any marketplace commission. If a customer pays KES 2,500 for a pair of shoes, the product costs KES 1,000, packaging is KES 100, delivery is KES 400, and M-Pesa fees are KES 50, your contribution margin is KES 950 per order. That KES 950 must cover your fixed costs, including warehousing, staff, marketing, and technology. AskBiz breaks down contribution margin per order type and flags any order that ships at a loss.
Customer Acquisition Cost in African Markets
Customer acquisition cost, or CAC, is how much you spend on marketing and sales to win one new customer. In African e-commerce, typical CAC ranges from USD 3 to 15 depending on the channel and product category. Instagram and Facebook ads are the most common acquisition channels, but conversion rates in African markets are often lower than global averages due to payment friction and trust concerns. If your CAC is USD 8 and your average first-order contribution margin is USD 5, you need repeat purchases to become profitable. AskBiz tracks CAC by marketing channel and compares it against customer lifetime value to show which channels are genuinely profitable.
Customer Lifetime Value in African Context
Customer lifetime value, or LTV, estimates the total contribution margin a customer generates over their entire relationship with your business. In African e-commerce, repeat purchase rates are typically lower than in more mature markets because of intense competition and price sensitivity. A fashion e-commerce business in Lagos might see an average customer make 2.3 purchases over 18 months, while a grocery delivery service in Nairobi could see 8 to 12 orders in the same period. AskBiz Churn Prediction models estimate when each customer segment is likely to stop buying, enabling you to calculate a realistic LTV rather than an optimistic one.
The LTV to CAC Ratio
The gold standard benchmark is an LTV to CAC ratio of at least 3 to 1. This means every dollar spent acquiring a customer should return at least three dollars in contribution margin over time. Most successful e-commerce businesses globally aim for 3:1 to 5:1. In African markets, achieving this is harder because of lower repeat rates and higher operational costs per order. AskBiz calculates your LTV:CAC ratio by customer segment, product category, and acquisition channel. If Instagram customers have an LTV:CAC of 4:1 but TikTok customers are at 1.5:1, you know exactly where to shift your marketing budget.
Improving Unit Economics with Data
AskBiz provides actionable levers for improving unit economics. The platform analyses which products have the highest contribution margins, which delivery zones cost the most, and which customer segments order most frequently. It recommends bundling strategies to increase average order value, identifies products that should carry a delivery surcharge, and highlights customers who are likely to become high-LTV repeat buyers. The Anomaly Detection engine also catches sudden spikes in per-order costs, such as a delivery partner increasing rates, so you can negotiate or switch before margin erosion spreads across hundreds of orders.