Unit Economics
The direct revenues and costs associated with a single unit of your business model (typically a customer), determining whether each additional customer contributes to or detracts from profitability.
Unit economics answer the fundamental question: does your business model work? If each customer generates more revenue over their lifetime than it costs to acquire and serve them, the business is viable at scale. If not, scaling only accelerates losses. The core unit economics metrics are CAC, LTV, payback period, and gross margin per customer.
Healthy unit economics require LTV:CAC above 3:1, payback period under 18 months, and positive gross margin per customer. But these thresholds vary by stage: early-stage companies may accept worse unit economics while they iterate on product-market fit and build scale advantages. Mature companies should show improving unit economics as they benefit from brand recognition, word of mouth, and operational efficiency.
For AI-powered products, unit economics have a unique dimension: the cost of AI inference per user interaction. If your AI feature costs $0.05 per query and the average user makes 100 queries per month, that is $5/month in AI costs alone. Understanding and optimizing AI costs per unit is critical for maintaining healthy unit economics as AI features drive engagement. Strategies include model routing, caching, batching, and using smaller models for simpler requests.
Related Terms
Growth Loop
A self-reinforcing cycle where each cohort of users generates inputs (data, content, referrals) that attract the next cohort, creating compounding growth.
Churn
The rate at which customers stop using or paying for a product over a given period, typically measured as monthly or annual churn percentage.
Activation Rate
The percentage of new signups who complete a key action (the 'aha moment') that correlates with long-term retention and product value realization.
Product-Led Growth (PLG)
A go-to-market strategy where the product itself drives acquisition, activation, and expansion through self-serve experiences rather than sales-led motions.
Viral Coefficient (K-Factor)
The average number of new users each existing user brings to the product, where a K-factor above 1.0 indicates self-sustaining viral growth.
Net Revenue Retention (NRR)
The percentage of recurring revenue retained from existing customers over a period, including expansion, contraction, and churn — where 100%+ indicates growth without new customers.