Revenue Calculator

Revenue is the total money earned from sales before subtracting expenses. Profit is what remains after costs such as inventory, payroll, marketing, taxes, and payment processing fees. A revenue calculator helps you estimate the “top line” and set targets, but it does not automatically include margins or costs. For planning, start with revenue, then estimate costs to understand profitability. If you need a net view, consider discounts, refunds, and returns so your revenue estimate reflects what you realistically keep.

Use the model that matches how you earn money. If you sell products or services by the unit, choose Unit Sales Revenue (price × units) and optionally adjust for discounts and returns. If you run a subscription or membership business, use Subscription/ARPU (ARPU × users) and apply churn for a simple projection. If you rely on marketing traffic, use Ecommerce Funnel (visitors × conversion × AOV) to estimate orders and revenue. The best model is the one where your inputs are measurable and consistent over the same period.

To estimate monthly revenue from daily sales, first calculate your average daily revenue (or daily units × price) using a representative period. Then multiply by the number of selling days in a typical month. For example, if you average $500 per day and operate 26 days per month, the estimate is $13,000. If your business has weekly seasonality, compute an average week and scale it to the month. Always label assumptions (days open, weekends, promotions) so your monthly revenue calculator result remains realistic.

Discounts reduce the effective price per unit, while returns and refunds reduce the portion of sales you keep. If you discount 10%, a $25 item becomes $22.50 in net price. If returns average 5%, you keep about 95% of that discounted revenue. That’s why a “gross revenue estimate” can look strong but still overstate reality if you run frequent promos or have high refund rates. For planning and cash flow, use the net adjustment so your revenue projection better matches what you can reinvest in growth.

Conversion rate depends on your industry, traffic quality, device mix, pricing, and checkout friction. Rather than guessing a single number, run three scenarios: conservative, expected, and optimistic. If you’re unsure, start with a cautious assumption and update it after reviewing analytics. Also consider that conversion rates vary by channel—paid social can differ from email or branded search. A professional ecommerce revenue calculation uses measurable inputs and improves accuracy over time as you track conversion, AOV, and repeat behavior across campaigns.

ARPU stands for Average Revenue Per User. It’s the average billed amount per user over a chosen period, usually monthly or annually. To estimate subscription revenue, multiply ARPU by the number of paying users for that same period. If you apply churn, you reduce users (or revenue) by a simple percentage to reflect expected customer loss. This doesn’t replace a full cohort model, but it’s useful for quick planning and communicating targets. Keep ARPU and the period consistent so your subscription revenue calculation remains comparable across months or quarters.

Gross revenue is useful for understanding demand and top-line growth, especially when comparing pricing and volume. Net revenue is better for budgeting and forecasting because it accounts for discounts, returns, refunds, and churn-related adjustments. Many businesses track both: gross for performance and net for planning. If your business relies on promotions, has meaningful return rates, or sees churn swings, net revenue provides a more stable view. A strong revenue calculator should help you see both perspectives so you can set targets that align with reality.

A calculator is only as accurate as the inputs and assumptions. It’s best used for scenario planning—testing how price, volume, conversion rate, or churn changes impact revenue. Improve accuracy by using recent averages, keeping time periods consistent, and updating assumptions after you collect new data. Include discounts, refunds, and seasonality when they matter. For higher-stakes forecasts, pair this estimate with historical trends and operational constraints (inventory, capacity, marketing budget). Used correctly, a revenue projection tool helps you plan decisions and understand what levers drive growth.