What is an LTV:CAC calculator?
An LTV:CAC calculator compares what a customer is worth over time (lifetime value) with what you paid to acquire them (customer acquisition cost). This free tool is built for e-commerce and D2C brands that run Meta or Google ads and need one clear answer: should I pause, optimize, or scale? Enter your average order value, repeat purchase behaviour and CAC, and it projects 6, 12 and 24-month lifetime value and gives you a verdict.
The ratio matters because first-order profit is only half the story. A store that breaks even on the first sale but keeps 30% of customers ordering again can outspend every competitor who judges ads on one purchase.
How do you calculate customer lifetime value?
The practical e-commerce formula: LTV = average order value × orders per year × gross margin × years retained. Example: a beauty brand with 3,500 AOV, customers who buy 2.5 times a year, a 45% gross margin and roughly 18 months of retention has an LTV of about 3,500 × 2.5 × 0.45 × 1.5 ≈ 5,900. If its fully loaded CAC is 1,800, the ratio is 3.3:1, safely in scaling territory. If you don't know your true CAC, run the fully loaded CAC calculator first.
What is a good LTV to CAC ratio?
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| Ratio | What it means | What to do |
|---|---|---|
| Below 1:1 | You lose money on every customer | Pause scaling, fix CAC or pricing first |
| 1:1 – 3:1 | Acquisition works but margins are tight | Optimize creative and retention before scaling |
| 3:1 – 5:1 | Healthy unit economics | Scale ad spend with confidence |
| Above 5:1 | Likely under-investing in growth | Increase budgets, you have headroom |
Why does LTV matter when return rates are high?
High first-order returns change the math twice. First, 20–40% return rates inflate your real CAC: you pay to acquire “customers” who never keep the order. Second, repeat customers return far less often than first-time buyers, so retention doesn't just add revenue, it improves delivery rates and shipping economics. A store with a strong email or SMS remarketing loop can turn a marginal 1.8:1 ratio into a healthy 3:1 within two quarters without touching its ads.
How do I improve my LTV:CAC ratio?
Work both sides. Raise LTV with bundles and upsells (higher AOV), email and SMS win-back flows (higher repurchase rate), and consumable or replenishable product lines. Lower CAC with stronger creative, a properly configured account (audit yours with the campaign health score checker), and enough daily budget to exit the Meta learning phase. Then verify first-order economics with the break-even ROAS calculator.
When should I use this tool?
Quarterly, and always before a big scaling decision. If you sell on multiple channels, pair it with the multi-platform ROAS comparator to make sure the revenue feeding your LTV numbers isn't double-counted, or explore all free TezAds tools.
The standard benchmark is 3:1 or higher. Your customer lifetime value should be at least three times your acquisition cost. Below 1:1 means you're losing money on every customer. Between 1:1 and 3:1 is workable but tight. Optimize before scaling. Above 5:1 often means you're under-investing in growth.
Use 12-month LTV as the default. It's the most common benchmark and balances early data with enough retention signal. Use 6-month if you're a new brand with limited history. Use 24-month if you have strong repeat purchase data over two years. If you have actual cohort LTV from your CRM, enter it directly in the calculator.
Check your Shopify or CRM data: divide customers who ordered twice or more in 12 months by total unique customers. Fashion and beauty brands often see 15–30%. Food and consumables can hit 40%+. Stores with high first-order return rates typically have lower repeat rates due to fulfilment friction. Start conservative at 10–15%.
CPA is ad spend divided by conversions, what Meta shows you. CAC is fully loaded: ad spend plus creative, tools, and agency fees divided by new customers. Always use fully loaded CAC for LTV:CAC ratio. Use our CAC calculator if you're not sure of your true number.
Scale when your 12-month LTV:CAC ratio is 3:1 or higher and has held steady for at least 4–6 weeks. Don't scale on a single good week, Meta's attribution can overstate early results. If ratio is 1–3, optimize creative and retention first. Below 1:1, pause scaling and fix unit economics.
The practical formula: LTV = average order value × orders per year × gross margin × years retained. A store with 3,500 AOV, 2.5 orders/year, 45% margin and 1.5 years of retention has an LTV of roughly 5,900. Use real cohort data from Shopify or your CRM when you have it.
Because repeat customers return parcels far less often than first-time buyers. High first-order return rates make acquisition expensive, so the profit lives in the second and third orders. Strong retention turns a marginal LTV:CAC ratio into a scalable one.