No. 05Launch & SaaS metrics

Price Increase Calculator

Enter an old and a new price to get the percentage increase or decrease, or add a percentage to a price to get the new one. Then, if you sell a subscription, check how many customers you can afford to lose — on revenue and on gross profit — before you announce the change.

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Price change
$
$
Percentage increase
+25%
$40.00 → $50.00
Difference
+$10.00
New price minus old price
Next step for SaaS

How much churn can the increase absorb?

Your numbers
%
$
$
%
Break-even loss · revenue
25.6%
Lose fewer than 205 customers and MRR still rises (+34% price)
Break-even loss · profit
28.9%
Gross profit stays flat at this loss — serving costs leave with the customers
MRR after change
$28,704
+$5,504 vs $23,200 today
Gross profit /mo
$25,502
+$5,782 vs today
Expected loss vs. break-even
MRR 25.6%
Profit 28.9%
Bar = customers you expect to lose (8.0%). Green zone = losses the new price more than covers.
Guide

How to use it

  1. 1
    In the first panel, enter the old price and the new price to get the percentage change. To go the other way, choose "Add a % to a price" and enter the percentage.
  2. 2
    Selling a subscription? Use the button under the result to carry both prices into the churn check. Then enter your number of paying customers and your gross margin today.
  3. 3
    Set the current and new monthly price. For annual plans, divide the annual price by twelve.
  4. 4
    Enter how many customers you honestly expect to cancel because of the change.
  5. 5
    Compare your expected loss with the two break-even points. If the bar stays in the green zone, the increase pays for itself even after the churn.
Worked examples

Examples

$40 → $50 is +25%, but $50 → $40 is −20%

Going up: (50 − 40) ÷ 40 × 100 = +25%. Going back down: (40 − 50) ÷ 50 × 100 = −20%. The same $10 gap is a different percentage because each calculation divides by a different starting price. That is why a 25% increase needs a 20% cut to undo it.

$29 → $39 for 800 customers

A 34% increase. MRR stays flat even if 25.6% of customers leave; gross profit (at 85% margin) stays flat up to 28.9%. Expecting to lose 8%, MRR goes from $23,200 to $28,704 and gross profit rises by about $5,800 a month.

Low-margin AI product, $10 → $12

At 60% gross margin (model costs eat 40%), the revenue break-even is 16.7% but the profit break-even is 25%. Losing 10% of 1,000 customers still raises MRR by $800 and gross profit by $1,200 a month — the leavers were each costing $4 to serve.

When an increase backfires

$20 → $30 for 250 customers at 90% margin. The break-even loss is 33.3% on revenue and 35.7% on profit. If 40% cancel — plausible for a price-sensitive audience with cheap alternatives — MRR falls from $5,000 to $4,500 and profit falls too. That's the case for testing on new signups first.

Method

The formulas

Percentage change = (new price − old price) ÷ old price × 100. A positive result is an increase, a negative one a decrease. New price from a percentage = old price × (1 + percentage ÷ 100). Both use the old price as the base, so the result is undefined when the old price is zero.

Revenue break-even loss = 1 − P₀ ÷ P₁, where P₀ is the current price and P₁ the new one. At that loss, fewer customers paying more exactly equals today's MRR.

Profit break-even loss = 1 − (P₀ − C) ÷ (P₁ − C), where C is the monthly cost to serve one customer, derived from your margin: C = P₀ × (1 − gross margin). Serving cost is assumed not to change with price.

MRR and gross profit after the change apply your expected loss to the customer count and multiply by the new price and new per-customer margin.

Know before you rely on it

Limitations

  • info
    Only cancellations are modelled. Price changes also slow new-customer conversion, which this doesn't capture — watch trial-to-paid rates for a few weeks after the change.
  • info
    It's a steady-state comparison of one month before and after. Timing effects such as notice periods, annual renewals and refunds aren't included.
  • info
    Serving cost per customer is assumed fixed. If the customers most likely to leave are also your lightest users, real profit results will be slightly worse than shown.
FAQ

Questions people ask

How do I calculate a price increase percentage?

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Subtract the old price from the new price, divide by the old price, then multiply by 100: (new − old) ÷ old × 100. Going from $40 to $50 gives (50 − 40) ÷ 40 × 100 = 25%. A negative result means the price went down.

How do I add a percentage to a price?

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Multiply the price by 1 plus the percentage as a decimal. To add 15% to $80, calculate 80 × 1.15 = $92. To subtract a percentage, use 1 minus the decimal: 80 × 0.85 = $68.

How many customers can I lose after raising prices?

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On revenue, the answer is 1 − old price ÷ new price. A 20% increase (from $10 to $12) can lose 16.7% of customers before MRR drops. On gross profit you can usually lose more, because each customer who leaves also takes their serving cost with them.

Why is the profit break-even higher than the revenue break-even?

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The calculator holds the cost of serving a customer constant. When a customer leaves you lose their revenue but also stop paying for their hosting, support and API usage, so profit tolerates more loss than revenue. The lower your gross margin, the bigger that gap.

How much churn does a price increase usually cause?

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There's no reliable universal number — it depends on how much value customers get, what alternatives cost, and how the change is communicated. Grandfathering existing customers, giving 30–60 days' notice, and pairing the increase with new features all reduce it. Test on new signups first if you can.

Should I grandfather existing customers?

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Grandfathering eliminates churn from the change but also delays the revenue. A common middle path: new customers pay the new price immediately, existing ones move after 6–12 months with notice. You can model that here by running the calculator twice — once with a low expected loss for new customers only.

Does this account for customers who downgrade instead of leaving?

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No. It models customers either staying at the new price or leaving. If you expect downgrades to a cheaper plan, reduce the new price to the average you expect to collect and run it again.

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