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Flat, per-seat, usage & tiered
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SaaS Pricing Model Template & Simulator

Enter your cost to serve and your volumes, then compare flat-rate, per-seat, usage-based and tiered pricing side by side — MRR, ARR, gross margin, and the price floor your target margin requires. Export the comparison, or download a blank template with the formulas already in it. Free, no signup, nothing leaves your browser.

Model your pricing

Your economics

Monthly cost to serve one customer

Infrastructure, support and third-party usage per account — not payroll for the whole team.

Target gross margin (%)

Sets the price floor below.

Current ARPA (monthly)

Optional — only used for the lift column.

Volume

Customers

Average seats per customer

Drives the per-seat price.

Usage units per customer per month

API calls, messages, GB — whatever you would meter.

Prices to compare

Flat rate — price per customer

Per seat — price per seat

Usage — price per unit

Usage — monthly platform fee

Charged before any usage.

Tiers

A price and the share of customers you expect on each. Shares are blended into one effective price, and are normalised by their own total — they do not have to add up to 100.
Billing

Low scenario (% of base volume)

High scenario (% of base volume)

Price floor for a 80% gross margin

Cost to serve ÷ (1 − target margin). Any price below this cannot reach the margin, whatever the packaging.
$90.00

Model comparison

100% of base volume — 150 customers, $18 to serve each per month.
ModelARPAMRRGross profitMarginvs today
Flat rateclears the floor$149$22,350$19,65087.9%+50.5%
Per seatclears the floor$145$21,750$19,05087.6%+46.5%
Usage-basedclears the floor$169$25,350$22,65089.3%+70.7%
Tiered (blended)clears the floor$190$28,500$25,80090.5%+91.9%
These are assumption-driven scenarios, not a forecast. Revenue scales linearly with price here because nothing in the model knows how many customers a higher price would cost you — price sensitivity, churn and demand elasticity are exactly what a spreadsheet cannot tell you. Use the comparison to see which structure fits your cost base, then test the price on real customers.

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Nothing is uploaded — every figure stays in your browser and the files are generated on your device. No email, no account.

Model growth capital against your recurring revenue

A pricing change takes months to show up in the bank account — the customers you have today keep paying the old price until they renew. If the gap between the model above and your current revenue is the reason you cannot fund the next hire or the next campaign, recurring revenue you already have can bridge it. Founderpath funds SaaS companies up to $5M against that revenue, repaid from it, with no equity and no board seats.

Founderpath starts at $10K MRR (about $120K ARR) of recurring software revenue. Below that, or if your revenue is not recurring, this is not the right fit yet — a bank line of credit or an SBA loan is the more realistic route.

What Is a SaaS Pricing Model?

A pricing model is the rule that turns what a customer gets into what they pay. It has two parts that are easy to conflate: the value metric — the thing you charge for, whether that is an account, a seat, an API call or a package — and the price level attached to it. Most pricing arguments are really arguments about the metric, and getting that wrong is far more expensive than being 10% off on the number.

The reason this is a capital-allocation decision rather than a marketing one is that the model sets your gross margin, and gross margin caps how much growth the business can fund out of its own revenue. Two companies at the same ARR — one at 85% gross margin, one at 45% — have entirely different options in front of them, and entirely different answers when they ask a lender for money.

Start With the Price Floor, Not the Price

Before comparing packaging structures, establish the price below which none of them work. If it costs you C per month to serve one customer and you need a gross margin of m, then the price P has to satisfy (P − C) / P ≥ m. Solved for price, that is:

Price floor = Cost to serve ÷ (1 − target gross margin)

At $18 a month to serve an account and an 80% target margin, the floor is $18 ÷ 0.20 = $90. Every packaging structure in the simulator above is measured against that line. Note what the formula says about a 100% margin target: there is no finite price that reaches it, because serving the customer always costs something.

Cost to serve means the costs that follow the customer — hosting, third-party API usage, payment fees, support time — not your whole payroll. The rest of the cost base is an operating expense, and it shows up one line lower on the profit and loss statement.

The Four Pricing Models, Compared

ModelWhat you charge forFits whenWatch out for
Flat rateOne price per customer, per monthA single, well-understood job with costs that barely move per accountLeaves money on the table with your largest customers and overcharges your smallest
Per seatA price multiplied by the number of usersCollaboration tools where value grows with headcountPunishes adoption — customers ration logins and share accounts to keep the bill down
Usage-basedA rate per metered unit, usually with a platform feeInfrastructure and API products where your own cost scales with volumeRevenue becomes as unpredictable as your customers’ usage, which makes it harder to borrow against
TieredA few packaged plans at fixed pricesMixed customer sizes with clearly different needsTier boundaries drawn in the wrong place strand customers just below an upgrade

Most companies end up with a hybrid — a tiered structure with a seat component, or a platform fee with metered overage — and the simulator’s tier table is where you model that blend. What it cannot tell you is how many customers a change would cost you. Revenue rises linearly with price in any spreadsheet, including this one; in reality it does not. Use the comparison to rule out structures your cost base cannot support, then test the survivor on real customers.

Effective ARPA Is the Number to Compare

Packaging structures are not comparable at their list prices — $29 per seat and $149 flat are only the same offer at roughly five seats. The comparable figure is effective ARPA: average monthly revenue per account after the structure and any annual discount are applied.

Effective ARPA = Monthly price per customer × (1 − annual discount)

MRR = Effective ARPA × Customers

Gross profit = MRR − (Cost to serve × Customers)

Annual prepay is where founders most often mislead themselves. A 15% discount on a $149 plan means you recognise $126.65 a month rather than $149 — a permanent cut to ARPA and to gross margin — while collecting $1,520 upfront per customer. That cash is real and often worth the trade, but it is not free revenue. To see what the same cash costs from a lender instead, compare against SaaS financing options.

Once you have an effective ARPA you trust, the rest of the metric stack follows from it — feed it into the LTV calculator and the CAC payback period calculator to see whether the new price changes what you can afford to spend acquiring a customer, and into the ARR calculator for the annual figure.

Packaging Checklist

  • One value metric that grows with what the customer gets, and that they can predict before the invoice arrives.
  • A floor price that clears your cost to serve at the margin you need — the simulator above computes it.
  • Three or four plans at most. Every extra plan is another decision you are asking a stranger to make.
  • A reason to move up that the customer feels, not just a limit they hit.
  • An annual option, priced for the cash it pulls forward rather than for the discount itself.
  • A written policy for grandfathering existing customers before you need one.

Common SaaS Pricing Mistakes

Pricing off competitors instead of costs

Their cost base is not yours. Copying a price without checking it against your own cost to serve is how a company grows into a gross margin it cannot fund.

Charging for a metric the customer cannot forecast

If a buyer cannot estimate next month’s bill, procurement stalls. Unpredictable usage pricing also makes revenue harder to underwrite.

Treating a discount as free

A 20% annual discount is a permanent 20% cut to recognised revenue in exchange for one year of cash upfront. That can be a good trade — but it is a trade.

Never revisiting the price

The product you sell in year three is not the one you priced in year one. Prices left untouched drift below the value delivered.

One more that only shows up later: pricing that ignores the break-even point. If the new model needs more customers than you can realistically acquire to cover fixed costs, it is the wrong model however good the margin looks per account. The break-even calculator puts a number on that, and the SaaS financial model template carries the price you land on through 24 months of forecast.

How Your Pricing Model Affects Your Funding Options

Two properties of a pricing model matter to anyone lending against your revenue: how predictable the revenue is, and how much of each dollar survives the cost of delivering it. Underwriting varies by lender and product — cash flow available to service debt, leverage and balance-sheet quality often weigh as much as any single metric — but a contracted subscription at a high gross margin is straightforwardly easier to borrow against than the same headline ARR made of volatile metered usage.

That is worth knowing before you redesign your packaging, not after. A pure usage model can be the right commercial answer and still narrow your financing options, because a lender is pricing the variance as well as the average. Recurring revenue at a high, stable gross margin is what makes non-dilutive capital possible at all — Founderpath funds SaaS companies from $10K MRR up to $5M without taking equity or a board seat.

If the alternative on the table is an equity round, price that too: the equity dilution calculator puts a percentage on what raising costs you, and the SaaS valuation calculator shows how the gross margin your pricing model produces feeds the multiple a buyer or investor would apply. For the wider metric set that sits around a pricing decision, see the SaaS metrics hub and the rest of the pricing and valuation calculators.

Frequently Asked Questions

A SaaS pricing model is the rule that turns what a customer gets into what they pay. It has two parts: the value metric you charge for — an account, a seat, a metered unit or a package — and the price level attached to it. The four common structures are flat-rate, per-seat, usage-based and tiered, and most companies end up with a hybrid of them.
Work in this order. First establish your cost to serve one customer per month. Second, pick a target gross margin and compute the price floor it implies — cost to serve ÷ (1 − target margin). Third, choose the value metric that grows with the value the customer receives and that they can predict before the invoice arrives. Only then set price levels, and compare structures on effective ARPA rather than list price. The simulator above does steps two through four; the model exports to CSV so you can keep iterating in a spreadsheet.
Yes — two downloads on this page, both free, both without email or signup. The first is the comparison you just built, all three volume scenarios, as a CSV that opens in Excel, Numbers or Google Sheets. The second is a blank template: assumptions in column B and live formulas everywhere else, so the price floor, effective ARPA, MRR, ARR, gross profit and margin recalculate as you change the inputs. Everything is generated in your browser — no figures are uploaded.
Arithmetic gives you a floor, not an answer. The floor is cost to serve ÷ (1 − target gross margin) — at $18 a month to serve an account and an 80% target, that is $90. No packaging structure priced below it can reach the margin. Above the floor, price is a question about willingness to pay, and no spreadsheet can answer it: revenue rises linearly with price in any model, including this one, because the model does not know how many customers a higher price would cost you. Use the floor to rule options out, then test the price with real customers.
Neither dominates; they fail differently. Per-seat is predictable for the buyer and easy to forecast, but it taxes adoption — customers ration logins and share accounts to hold the bill down. Usage-based aligns your revenue with your own costs and with the value delivered, but it makes revenue as volatile as your customers' usage, which is harder to plan around and harder to borrow against. Pick per-seat when value tracks headcount, usage when your cost scales with volume, and a platform fee plus metered overage when both are true.
Price it as what it is — a trade, not a giveaway. A 15% discount on a $149 plan means you recognise $126.65 a month instead of $149, a permanent cut to ARPA and to gross margin, in exchange for about $1,520 of cash upfront per customer. Common practice is somewhere around 10–20%, but the number should come from what that cash is worth to you against the alternatives, including financing the same amount. Switch the simulator to annual prepay to see both effects at once.
Three or four is the usual answer, and the reason is cognitive rather than financial: every extra plan is another decision you are asking a stranger to make. What matters more than the count is where the boundaries sit — a limit drawn in the wrong place strands customers just below an upgrade they would happily have paid for. Model the blend rather than guessing: enter each tier's price and the share of customers you expect on it, and the simulator blends them into one effective price you can compare against the other structures.
Effective ARPA is average monthly revenue per account after the packaging structure and any annual discount are applied. It exists because list prices are not comparable: $29 per seat and $149 flat are the same offer only at roughly five seats. Comparing structures on effective ARPA — and on the gross margin it produces — is the only way to see which one your cost base actually supports. Feed it into the LTV calculator and the CAC payback calculator to see what the new price lets you spend on acquisition.
It affects two things a lender reads closely: how predictable the revenue is, and how much of each dollar survives the cost of delivering it. Underwriting varies by lender and product — cash flow available to service debt, leverage and balance-sheet quality often weigh as much as any single metric — but a contracted subscription at a high gross margin is easier to lend against than the same headline ARR made of volatile metered usage, because the lender is pricing the variance as well as the average. Recurring revenue at a high, stable gross margin is what makes non-dilutive capital possible: Founderpath funds SaaS companies from $10K MRR up to $5M without equity or board seats.
Yes — 100% free, no signup, no email, no watermark and no download limit. Every figure is computed in your browser and both CSV files are generated on your device, so none of your cost or revenue assumptions are ever uploaded to a server.