Unit Economics for One-Person Companies: LTV, CAC, Payback

AlqEdge · October 2026 · 6 min read

Unit economics sounds like something you need a finance degree to touch. You don't. It's three ratios that answer one question: is each customer worth more than it costs to get them?

For a solo founder, this isn't academic. It's the difference between "I have a product" and "I have a business."

The three numbers

LTV (Lifetime Value) — how much a customer pays you over the whole time they stick around.

Rough version: Average revenue per customer per month × average months they stay.

Example: $30/mo × 14 months = $420 LTV.

CAC (Customer Acquisition Cost) — what it costs to get one paying customer.

Total marketing + sales spend ÷ number of customers. If you spent $500 on ads and got 10 customers: $50 CAC.

Payback period — how many months until the revenue from a customer covers what it cost to get them.

CAC ÷ gross margin per month. If CAC is $50 and gross margin is $21/mo, payback is ~2.4 months.

The 2026 benchmarks (what "healthy" actually looks like)

LTV : CAC — median 3.3x; bootstrapped companies median 5.0x. Below 3x is the danger line (SaaSrise 2026, 2,500+ companies)
CAC payback — median 16 months. Under 18 is acceptable; under 12 is good (Benchmarkit 2026, 342 companies)
Gross margin — median 75%; pure SaaS 82%; AI-native tools 55–70% (SaaSrise 2026)

The gap that kills most solo founders: they feel like things are fine, but their LTV:CAC is under 2x and they don't know it. You can't fix a number you're not measuring.

Why one-person companies should care even more

Teams can absorb a bad CAC for a quarter and compensate with a sales push. You can't — you're the sales push, the product team, and the support desk. If your payback period is 16 months and you only have 12 months of runway, you're building a leaky bucket.

The good news: solo founders usually have one advantage big teams don't — they can iterate on positioning weekly, not quarterly. Your job is to find the channel where CAC drops and the customer who stays. That's a unit economics problem, and it's solvable.

Where people get stuck

Blended vs cohort. Average LTV looks fine until you look per month of signup — and newer cohorts are often worse. Track per cohort, not blended.
Ignoring churn. LTV is a churn number in disguise. Cut monthly churn by 2 points and LTV jumps more than any pricing change.
Not separating channels. Reddit customers might have 3x the LTV of ad customers. Until you split CAC by channel, you're guessing.

Do it in one command

The Virtual CFO skill includes a unit-economics analyzer: per-cohort LTV, per-channel CAC, payback periods — run from your numbers. See the real demo output before you decide.