Enter your course assumptions
Change any field — results update instantly. Use this for “what if” planning (pricing, funnels, ads, and upsells).
Forecast how much your online course can make — before you spend weeks building it (or dumping money into ads). Plug in leads, conversion rate, refunds, fees, affiliate split, upsells, and monthly costs to see projected revenue, profit, break‑even month, and the leads you need to hit a target.
Change any field — results update instantly. Use this for “what if” planning (pricing, funnels, ads, and upsells).
The calculator turns simple funnel assumptions into a monthly and multi‑month projection. It starts with traffic (leads), estimates buyers using conversion rate, subtracts refunds, then subtracts variable costs like payment fees, affiliate payouts, and support costs. Finally, it adds optional upsell revenue and subtracts your marketing spend and a one‑time production cost to estimate profit and break‑even.
No — it’s a planning tool. The output is only as good as your assumptions. Use it for “what‑if” scenarios.
It depends on offer quality and traffic source. Cold traffic might convert below 1%. Warm lists and webinars can be 2–10%+. Start conservative, then test.
Refunds are a real revenue leak. They often spike when expectations are unclear or onboarding is weak. If refunds are high, fix the promise and the first 15 minutes of the course.
Affiliates can increase volume, but they trade margin for distribution. If 50% of sales are affiliate and commission is 40%, that’s ~20% of your revenue (post‑refunds) paid out — before fees and support.
Many creators aim for 30–60% after ad spend on a mature funnel. Early on, margins may be lower while you test. If you’re above 60% sustainably, you have room to scale or run promos.
No. Taxes vary widely. Treat profit here as “pre‑tax operating profit.”
A course can be one of the highest‑margin digital products — but only if you treat it like a business, not a hobby. Most revenue projections fail for one of two reasons: (1) they ignore funnel math (leads → buyers → refunds), or (2) they ignore leakage (fees, affiliates, support time, and ad spend). This page is built to make the economics obvious.
The fastest way to use this calculator is to start with a realistic lead number. “Leads” can mean page visitors, webinar registrations, email subscribers, or any measurable top‑of‑funnel unit — just be consistent. Then set a conservative conversion rate. If you don’t know your conversion rate yet, pick 1–2% for cold traffic, 2–5% for warm audiences, and 5–10% for webinars or high‑trust communities.
Refunds are often treated as “noise,” but they’re a signal. High refunds can indicate a mismatch between promise and experience, unclear prerequisites, or weak onboarding. If your refund rate is above ~10% on a mature offer, it’s worth investigating. A strong onboarding sequence (first lesson, quick win, clear roadmap) often reduces refunds more effectively than tightening policy language.
Payment fees (Stripe, PayPal) and platform fees can look small, but they stack. A 4.9% blended fee on $100,000 of revenue is $4,900 — before ads, refunds, or support time. If you use a marketplace or “all‑in‑one” platform with additional fees, model them here by increasing the fee slider.
Affiliates can be your fastest growth channel once your offer converts — but they’re also expensive. The calculator separates affiliate share of sales (how much of your volume is driven by affiliates) from commission (what you pay them). This matters because “30% commission” might be totally fine if affiliates are only 10% of sales — and brutal if they’re 70% of sales.
Upsells (templates, audits, group coaching, a higher tier) increase average revenue per buyer. The best upsells are not random add‑ons — they are the next logical step. If your core course teaches a skill, the upsell might be “implementation help.” If your course teaches a system, the upsell might be “done‑for‑you templates.” Even a 10% upsell rate can materially change profitability without needing more leads.
Suppose you have 2,000 visitors/month, a $199 course, a 2% conversion rate, 5% refunds, 4.9% fees, no affiliates, and a $99 upsell taken by 10% of buyers. You’ll see ~40 buyers/month and roughly: $7,960 gross → minus refunds and fees → plus upsells → net revenue in the mid‑$7k range. If marketing spend is $0 and support costs are small, this can be a strong side income — and a foundation for scaling.
Now imagine you spend $3,000/month on ads to drive 3,500 leads/month, but conversion is only 1.2% because traffic is cold. Same price ($199) and 5% refunds. Even if revenue looks decent, profit might be tight after ad spend. This is why the calculator shows net revenue and profit separately: a funnel can “look good” on revenue and still lose money.
Affiliates can take you from $10k/month to $100k/month, but you must price for it. If 50% of your sales are affiliate and commission is 40%, that’s about 20% of revenue after refunds paid out — then fees — then support — then ads (if any). Many creators raise price or add a premium tier to keep margins healthy.
A target like “$10,000 net revenue per month” becomes practical when you translate it into leads: Required Leads ≈ Target Net Revenue ÷ Net Revenue per Lead. Net revenue per lead is what’s left after refunds, fees, affiliates, support, and (optionally) ad spend. If required leads feel impossibly high, you have a clear signal: your best move is improving conversion, increasing price, or adding an upsell — not grinding harder.
The goal isn’t to predict the future perfectly. The goal is to choose the most efficient lever to pull next — so you can ship a profitable course with fewer surprises.
The results box shows monthly net revenue, profit, margin, and break‑even timing. Here’s how to read it quickly:
Want the simplest improvement? Increase conversion by 0.5% and rerun. Then increase price by $50 and rerun. Compare which lever gives more profit per unit of effort.
Use these to tighten your numbers and make smarter decisions:
If you want your projection to become reality, your job is to make each input defendable:
Run three scenarios: conservative, expected, and aggressive. If conservative still works, you’re in a strong position.
MaximCalculator builds fast, human-friendly tools. Use projections to make better decisions — then validate with small experiments and real funnel data.