Rex says
Money math without the spreadsheet headache. Plug in your numbers and I'll show you exactly where the dollars land.
Try a scenario
Click to load — tweak from there.Inputs
Result
Returning-customer revenue share
40.0%
New-customer revenue share
60.0%
New customer AOV
$81.82
Returning customer AOV
$109.09
New-vs-returning dependency ratio
1.50
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How to use this
- 1Enter revenue from new customers ($).
- 2Enter orders from new customers.
- 3Enter revenue from returning customers ($).
- 4Enter orders from returning customers.
- 5Read your returning-customer revenue share on the right — it updates as you type.
- 6Hit Share to keep the scenario or send it to someone.
About this calculator
Total revenue growth can mask a business quietly becoming more dependent on constant new-customer acquisition spend, or conversely, one that's coasting on an existing base without replenishing it. This calculator takes revenue and order counts split between new and returning customers, then computes each segment's share of total revenue, average order value by segment, and a dependency ratio that flags how much of your revenue relies on the acquisition engine running at full speed. A business earning 70%+ of revenue from new customers has a fragile model — any disruption to paid acquisition (platform policy change, rising CPMs, ad account issues) hits revenue almost immediately with no buffer. A business earning 70%+ from returning customers has more resilience but should check whether new customer volume is healthy enough to replace natural churn over time. Healthy DTC and subscription businesses typically target 35-55% of revenue from returning customers within 12-18 months of steady operation; marketplaces and low-repeat categories (real estate, one-time purchases) naturally skew toward new-customer revenue and shouldn't be judged against the same benchmark.
Worked example
Using the values the calculator loads with:
Inputs
- Revenue from new customers: 180000 $
- Orders from new customers: 2200
- Revenue from returning customers: 120000 $
- Orders from returning customers: 1100
Results
- Returning-customer revenue share: 40.0%
- New-customer revenue share: 60.0%
- New customer AOV: $81.82
- Returning customer AOV: $109.09
- New-vs-returning dependency ratio: 1.5
What each field means
Inputs
- Revenue from new customers ($)
- The revenue from new customers used in the calculation, measured in $. Starts at 180000 $ so you have a working example on load.
- Orders from new customers
- The orders from new customers used in the calculation. Starts at 2200 so you have a working example on load.
- Revenue from returning customers ($)
- The revenue from returning customers used in the calculation, measured in $. Starts at 120000 $ so you have a working example on load.
- Orders from returning customers
- The orders from returning customers used in the calculation. Starts at 1100 so you have a working example on load.
Results
- Returning-customer revenue share
- Returned as a percentage and shown as the headline result. It recalculates instantly whenever you change an input, so you can compare scenarios without reloading.
- New-customer revenue share
- Returned as a percentage. It recalculates instantly whenever you change an input, so you can compare scenarios without reloading.
- New customer AOV
- Returned as a money amount in US dollars. It recalculates instantly whenever you change an input, so you can compare scenarios without reloading.
- Returning customer AOV
- Returned as a money amount in US dollars. It recalculates instantly whenever you change an input, so you can compare scenarios without reloading.
- New-vs-returning dependency ratio
- Returned as a decimal number. It recalculates instantly whenever you change an input, so you can compare scenarios without reloading.
FAQ
What's a healthy returning-customer revenue share?
For DTC and subscription-adjacent businesses, 35-55% from returning customers after 12-18 months of operation is a solid benchmark. Below 20% suggests weak retention or a very young customer base; above 65% can mean acquisition has slowed and the business is coasting on its existing base, which caps growth ceiling.
Why is returning AOV often higher than new customer AOV?
Returning customers trust the brand, know the product fit, and are more likely to buy bundles, higher-tier items, or add-ons. New customers are often won on a discount or entry-level product, so their first order tends to skew smaller and more price-sensitive.
How does a high dependency ratio affect fundraising or valuation conversations?
Investors and acquirers discount revenue that's heavily new-customer-dependent because it implies higher ongoing CAC spend is required just to sustain current revenue, versus a business with strong repeat revenue that requires less marginal spend to maintain its base.
Should every business aim for a low dependency ratio?
No — businesses with naturally low repeat purchase rates (real estate, major appliances, one-time services) will always skew toward new-customer revenue, and that's structurally normal. Judge the ratio against your category's typical repurchase cycle, not a universal target.
Accuracy and limitations
- Results are estimates before tax, fees, and inflation unless an input explicitly covers them.
- Rates are treated as fixed for the whole period — variable-rate products will drift from this projection.
- This is educational maths, not financial advice. Check anything contractual with the lender or your accountant.
Related tools
Cite this calculator
Writing about this topic? Grab a citation — every link helps keep these tools free.
RevenueLab. (2026). New vs. Returning Customer Revenue Mix Calculator. Retrieved from https://www.revenuelab.fyi/toolbox/new-vs-returning-revenue-mix-calculator
<p>Source: <a href="https://www.revenuelab.fyi/toolbox/new-vs-returning-revenue-mix-calculator" target="_blank" rel="noopener">New vs. Returning Customer Revenue Mix Calculator — RevenueLab</a> (2026).</p>
Source: [New vs. Returning Customer Revenue Mix Calculator — RevenueLab](https://www.revenuelab.fyi/toolbox/new-vs-returning-revenue-mix-calculator) (2026).