Model course price, costs, audience, conversion, refunds, break-even sales, and target profit before you launch. Free, editable planning tool.
Free planning tool for course creators
See the launch math before you build the launch.
Model your course price, audience, conversion, costs, refunds, and target profit in one practical worksheet. The numbers are yours. The plan should be too.
No email required to calculate your result
Editable example only
Course launch economics calculator
Start with the assumptions you can defend today. Add advanced costs only when they matter to your launch.
Plan first, then build. If the numbers hold up, you can move directly into a course, funnel, and follow-up system.
See Systeme.ioCore launch assumptions
How the model treats your inputs: It estimates projected orders from audience and conversion, removes your refund allowance, then subtracts the fees and costs you entered. Payment, platform, and affiliate percentages are applied to revenue after the refund allowance. Results are planning estimates, not promises.
Build a pre-launch list and stay in touch with prospective students through email.
Affiliate disclosure: I may earn a commission if you purchase through the link below, at no extra cost to you.Run the three versions of the plan you would actually discuss.
A single forecast can give a false sense of precision. Compare a cautious case, the plan you expect, and a stronger outcome. The defaults are editable examples only. Your advanced fees stay in place while you test price, reach, conversion, and fixed costs.
Scenario planning sheet
Change any field. These scenarios are independent of the main calculator inputs.
Use the same definitions in each column. A stronger plan is not just a bigger audience. It should also explain why the price, conversion, or costs changed.
Conservative
Expected
Strong
A course launch forecast is a decision tool, not a promise.
Good launch planning does not guess a magical course price. It makes the tradeoffs visible. You can decide whether a price, a cost, or an audience goal needs more work before you build the next piece of the launch.
Start with contribution, not just revenue.
Revenue is the money collected before you account for refunds, fees, delivery, and the rest of the launch. It is useful, but it can flatter a weak plan. Contribution is what a kept enrollment leaves after the per-sale charges you entered. That number does the real work in a break-even calculation because it tells you how much of each sale can cover fixed costs and then become profit.
Price changes the student requirement. It does not settle the pricing question.
A higher price can lower the number of enrollments needed to reach the same target. It can also change conversion, expectations, refund behavior, support load, and the value you need to deliver. Use the scenario planner to test the price with different conversion assumptions. If a larger price only works with an unsupported conversion rate, the calculation has done its job by showing that tension early.
Audience size matters only when people see and trust the offer.
A list of 1,500 is not a guarantee of 1,500 launch opportunities. Some people will not see the message. Some will be a poor fit. Some will wait. Use a reachable audience figure that you can explain. Then calculate what conversion rate your current audience would need to hit the target. If that rate feels optimistic, test a lower target, another traffic source, a better pre-launch sequence, or a different timetable.
Make costs specific enough to change a decision.
Do not add fields because a tool has them. Add a cost when leaving it out would make the launch look materially better than it is. Creation work, contractors, launch events, ads, software, payment fees, affiliate payouts, refunds, and delivery expenses can all matter. If a cost is already paid and will not change the next decision, you may still track it for a full project view, but label it clearly.
A practical example
The point is to find the weak assumption before it becomes an expensive surprise.
Imagine a creator with a $297 course, a reachable audience of 1,500 people, a 2% conversion assumption, $2,099 in fixed costs, a 3% refund allowance, a 2.9% processing fee, and $5 of delivery cost for each kept student. The calculator turns that into a compact plan. It does not decide whether the launch will work. It shows what would need to happen for the stated target to make sense.
Evidence note: every result is traceable to an entered assumption
| Example input | Planning value |
|---|---|
| Projected orders | 30 |
| Expected kept students after 3% refunds | 29.1 |
| Gross revenue before refund allowance | $8,910 |
| Why the scenario test matters | A smaller audience or lower conversion can change the result quickly. |
After the numbers make sense
Ready to build and sell the course?
Systeme.io is a practical primary option if you want course selling, sales funnels, email capture, and automated email campaigns in one place. It makes sense after you have a plan worth building, not before.
Course launch economics questions, answered plainly.
These answers explain the calculations without pretending there is one industry benchmark or one course price that works for every creator. Use them to make your next planning decision more specific.
You need enough kept enrollments for the contribution from each one to cover your fixed launch costs. Contribution means the course price minus the variable charges tied to that sale, such as payment fees, platform fees, affiliate payouts, and per-student delivery costs. If you expect refunds, first calculate the kept enrollments needed, then allow for extra initial orders to account for the refund rate. A $297 price does not mean $297 goes toward break-even. The cost structure determines the useful portion. This calculator shows the break-even sales count and explains when the per-student contribution is too low to calculate one sensibly.
Start with projected orders from your reachable audience and conversion assumption. Multiply those orders by price to estimate gross revenue. Then set aside the revenue you expect to refund, subtract percentage fees and delivery costs, and subtract the fixed costs needed to create and launch the course. What remains is estimated net profit. The sequence matters because revenue and profit are different numbers. A launch can look impressive on the revenue line while fixed costs, refunds, and paid acquisition erase much of the margin. Use the calculation to test which cost or assumption has the biggest effect before you commit more budget.
Price should reflect the outcome, the buyer’s alternatives, the support and delivery involved, and the economics required for a sustainable launch. A calculator cannot tell you the one correct price because it cannot see your positioning or your buyer’s decision. It can show the tradeoff. Enter a few possible prices, then change conversion rather than holding it fixed by habit. A lower price may require more students. A higher price may require fewer students but a different offer, proof, or sales process. Choose a price you can explain to the right buyer and support with a realistic launch plan. Check buyer language before changing the price.
Course revenue is the money collected from sales before you account for expenses. Course profit is what remains after refunds, transaction charges, affiliate commissions, student delivery costs, course creation costs, launch spending, software, and other expenses. Both are useful. Revenue helps you understand demand and cash coming in. Profit tells you whether the launch is carrying its own weight. When planning, keep the two labels separate. A $20,000 revenue forecast may be healthy or weak depending on the costs behind it. The calculator displays gross revenue before refunds and estimated net profit after the assumptions you enter. That distinction prevents a growing sales total from hiding a weak launch.
The answer depends on the goal you are trying to reach. For break-even, divide fixed launch costs by the contribution from a kept enrollment. For a profit goal, add the target profit to fixed costs before dividing by contribution. The calculator does both and then adjusts for a refund allowance when it converts kept enrollments into the initial orders you may need. This is more useful than picking an arbitrary enrollment target because it ties the student count to your actual price and cost structure. If the result feels unrealistic, test the inputs before concluding the whole course idea is impossible.
There is no universal list size that makes a course launch ready. A useful question is how much of your reachable audience would need to buy to reach the goal. Divide the orders needed by the audience you expect to reach. If that conversion requirement is higher than you can reasonably support with your own data and context, the plan needs an adjustment. You might change the goal, increase lead generation, reduce costs, improve the offer, give the launch more time, or test another traffic source. Audience size is an input to a decision, not a badge that grants permission to launch.
Use an assumption you can trace back to your own context. That might mean previous launch performance, a waitlist response, webinar registrations, sales conversations, or a smaller test offer. Do not treat a generic online benchmark as a promise because traffic temperature, buyer trust, offer fit, price, and launch sequence can change the result. If you do not have a reliable starting point, use the scenario planner. Create a cautious conversion, an expected conversion, and a stronger result. Then ask what evidence would move you from one column to another. The range is usually more honest than a single confident-looking percentage.
Include the costs that would make your next launch look meaningfully better than reality if you left them out. Common examples are course creation, contractors, design, video, launch events, paid traffic, software, platform fees, payment processing, affiliate commissions, refunds, and per-student fulfillment. You do not need to make the worksheet complicated for its own sake. Start with core fixed costs, then open the advanced fields when the fee or delivery cost changes the decision. It also helps to mark whether a cost is a one-time investment, a per-launch cost, or a per-student cost so you do not double count it.
Yes, include advertising spend when it is part of the launch you are evaluating. If you leave it out, the break-even point will make the paid-acquisition plan look more favorable than it is. Add the planned spend as a fixed launch cost if you are evaluating the whole launch. You can also use the maximum sustainable CAC output to see the contribution available per kept student before fixed costs. That is not a recommended bid. It is a ceiling created by your own price and variable costs. For ad decisions, test several acquisition-cost outcomes instead of assuming the first number will hold.
Refunds reduce the revenue that stays in the business and reduce the number of kept enrollments contributing to the launch. In this calculator, the refund percentage is applied to projected orders before the percentage fees and per-student cost calculation. That creates a clear planning allowance, even though your actual payment-provider treatment can vary. If you have past data, use your own refund experience. If you do not, treat the figure as a sensitivity test rather than a prediction. Run the calculation with zero, a cautious allowance, and a higher allowance. The goal is to understand how exposed the launch is to a change in retained sales.
Payment processing fees do not usually change the selling price, but they reduce the amount left from every kept sale. That matters more as sales volume rises. Enter the percentage you expect to pay into the advanced field, then compare the result with and without it. The difference is the cost of the fee under your current assumptions. This calculator applies percentage fees to revenue after the refund allowance. That is a simple planning approach, not a statement about every processor’s refund policy or fee structure. Before final budgeting, check your actual payment terms and add a flat per-transaction fee manually to the per-student cost if needed.
Platform fees can be fixed monthly costs, transaction percentages, or both. Treat them according to how they work in your plan. A monthly bill that you would pay for the launch belongs in software and platform costs. A percentage charged when a student buys belongs in the platform transaction fee field. Separating those two types keeps the break-even calculation honest because fixed costs need to be recovered even if you make no sales, while transaction charges rise with revenue. If you are comparing platforms, check the current official pricing and make sure you are comparing the same term, features, and payment-processing setup.
You can launch with a small list, but the plan should acknowledge the smaller number of reachable buyers. A smaller audience may mean a lower first-launch goal, a lighter cost structure, a longer pre-launch period, direct outreach, partnerships, or a beta format that helps you learn before building a larger version. Use the calculator to see the conversion rate needed from the list you have. If it feels unrealistic, do not paper over that gap with a random benchmark. Change a number you can influence. The first launch can be a validation project rather than a test of whether the entire course business is viable.
Usually, a higher price increases the contribution from each kept enrollment, so fewer students may be needed to cover the same costs and profit target. The important word is may. A price change can also affect the number of people willing to buy, what support they expect, your refund experience, and the proof required in the sales process. Use the scenario columns to change price and conversion together. A price test that assumes the same conversion at every level is only a starting point. The useful result is not the largest price. It is the combination of price, sales volume, and delivery that fits your offer and audience.
Conversion rate turns a reachable audience into projected orders. If 1,000 people are likely to see the offer, a one percent conversion assumption produces about 10 orders before refunds. Double the conversion assumption and projected orders double as well, which can move revenue and profit sharply. That sensitivity is why conversion should not be treated as decorative spreadsheet input. Write down what could cause the rate to change: audience fit, launch messaging, offer clarity, price, proof, timing, webinar attendance, sales calls, or checkout friction. Then use conservative and expected cases rather than relying on one percentage that makes the plan look comfortable.
Set a revenue goal after you understand the costs and the role of the launch. A revenue goal may be useful for cash planning, but a net profit goal is often more decision-ready because it reflects what the launch needs to leave behind. Start with the amount you need the project to contribute after the costs you can identify. Enter that as target net profit, then read the required students and audience. If the plan produces a large gap, decide whether to increase reach, improve conversion, revise costs, change the offer, or set a smaller first-launch target. A goal is a working constraint, not an income claim.
To estimate a break-even price, decide how many kept students you believe the launch can reasonably serve, then divide the fixed costs plus the variable costs expected at that volume by the kept-student count. The result is a financial floor under the assumptions, not a recommended market price. If you expect refunds, account for the additional initial orders needed to retain that many students. This calculator focuses on the opposite but often clearer view: you enter a possible price and it shows the students needed to break even. Run a few price options and compare their required enrollments with what your audience can support.
Cost per student is the incremental cost that happens because one more learner stays in the course. It can include printed material, a mailed kit, mentor time, certificates, transaction flat fees, community moderation, or support capacity. It is different from fixed costs such as course filming or a launch event because it rises as enrollment rises. Add the recurring amount to the cost per kept student field. If the course is fully self-paced and delivery does not materially change with another student, the number may be low. Do not force a cost into the field if it is already included in fixed launch expenses.
Use both, but make the final go or no-go decision from a net-profit view. Gross revenue tells you the scale of sales activity. Net profit tells you what is left after the costs and allowances you included. If you are planning cash flow, you may also need timing because a profitable launch can still require spending before revenue arrives. This calculator is a launch economics tool, not a cash-flow schedule, so it does not model invoice dates, payment plans, taxes, or payout holds. Use the result as a clear first pass, then add timing and legal or tax details where they apply to your business.
Forecast an online course launch by writing down the decisions that drive the numbers: price, reachable audience, conversion, refund allowance, fixed launch costs, transaction fees, and per-student costs. Put them in one calculation so revenue, break-even, required students, and target profit update together. Then run at least three versions rather than treating the first forecast as fact. A good forecast has a note next to each sensitive assumption explaining why it is there and what would change it. The goal is to identify the missing evidence early. It is much easier to test a message, audience segment, or lead source before production costs become sunk.
A lower conversion rate reduces projected orders, which lowers revenue while most fixed costs stay put. That is why profit often falls faster than creators expect. Run a conservative scenario with a lower conversion rate and see whether the plan still covers its costs. If it does not, decide in advance what you would change. You might reduce launch spend, extend list building, offer a smaller beta, improve the offer explanation, add personal sales conversations, or delay a large production commitment. The answer is not to promise yourself a stronger rate. It is to make the plan resilient enough that a weaker outcome does not become a surprise.
Add your target profit to fixed launch costs, then divide the total by the contribution from one kept enrollment. That gives the kept student count needed under the cost structure you entered. If your model includes refunds, divide again by the percentage of students you expect to keep to estimate the initial orders required. This calculator completes those steps and then converts the order count into an audience requirement using the conversion rate. If the audience requirement is far above your current reach, the result is not a failure. It tells you which part of the plan needs more time, less cost, or a different goal.
A simple maximum sustainable CAC is the contribution left from a kept enrollment before fixed launch costs. Start with course price, subtract percentage fees, affiliate payouts, and per-student delivery cost. The remainder is the amount available to acquire and serve that kept student before recovering your fixed costs. This is a ceiling, not a recommended ad bid. A launch may need a lower acquisition cost to leave room for fixed costs and profit. It is also different from a lifetime-value decision. If you expect future purchases or services to matter, calculate them separately and be explicit about the time period and evidence behind them.
Scenario comparison keeps a plan from relying on one convenient story. A conservative version reveals whether costs are safe when reach or conversion is weaker. An expected version gives you a working plan. A stronger version helps you see what extra capacity or support may be needed if the launch goes well. Use the same rules in all three columns. If you raise price, write down why conversion may change. If you increase audience, identify the traffic source or list-building activity behind it. The point is not to fill every column with optimism. It is to connect the outcome to assumptions you can test or influence.
Yes. A quick economics check can help you set the scope of the first version before course creation turns into a large sunk cost. Enter a reasonable price range, reachable audience, expected conversion range, and the creation costs you are considering. If the break-even student count feels out of reach, you may choose a smaller beta, a pre-sell, a shorter format, a different launch plan, or more audience research before producing every module. The calculator does not judge the educational value of the course. It helps you avoid building a financial plan around numbers you have not looked at together.
Put the current price in one scenario and the proposed price in another. Then change conversion, support costs, and refund assumptions only when you have a reason to expect them to move. Compare the students needed for the profit target and the audience needed to support each case. A price increase can improve the economics even if conversion falls a little. A price decrease can be rational if it creates enough additional demand or makes the offer easier to sell. The calculation will not decide the strategy for you, but it makes the tradeoff visible so the price change is not based only on instinct.
Yes. The audience field means the people you realistically expect to reach, not only email subscribers. It could represent an engaged social audience, webinar registrations, a community, referral partners, a paid-traffic plan, a client base, or a combination. Keep the definition consistent with the conversion assumption. A cold paid audience and a warm group of past clients should not be modeled with the same casual percentage. If you are using several sources, run a separate scenario for each source or calculate the expected orders from each channel before adding them together. Clarity about reach matters more than the name of the channel.
The calculator treats zero as a valid planning input and avoids dividing by zero. With a zero conversion rate, it cannot calculate a required audience because no portion of the audience is expected to buy. With a zero price or a non-positive contribution per kept enrollment, it cannot produce a meaningful break-even student count because each kept student does not help recover fixed costs. The result card will explain the issue instead of displaying a misleading infinity or a very large number. Use these edge cases to test the logic of a free offer, a low-priced lead product, or a plan with high delivery costs.
They are close, but they are not always the same. A sale or projected order is an initial purchase. A kept enrollment is the student remaining after the refund allowance in this model. If one buyer can purchase multiple seats, a team package, or a payment plan, you may need to adapt the inputs so the unit is consistent. The calculator is most useful when one projected order represents one student place at one course price. For more complex offers, run each product or tier separately, then combine the results in a wider plan. Consistent units make the break-even calculation easier to trust.
Yes. Use Copy results to create a compact text snapshot of the key assumptions and outputs. This is useful for sharing with a partner, coach, or collaborator without asking them to interpret a screen capture. Use Print or save results to open the browser print dialog. The print view removes the long guide and leaves the launch snapshot, reality check, and model note. Because the calculator runs entirely in the page, it does not save personal or business numbers for you. If you need a permanent planning record, paste the copied result into your own document or save a PDF from the print dialog.
Build the audience before the launch
If email follow-up is the main job, keep the tool choice simple.
AWeber is a focused option for creators who want to grow an email list, send campaigns, and follow up with subscribers through email automations. A stronger audience does not guarantee sales, but it gives you more chances to test interest before launch week.