Base
- Price
- €490
- Contribution per sale
- €350
- Contribution per month
- €14,000
- Result after fixed costs
- €5,000
Peak Command / Pricing decisions
Feldberg Tee (fictional) is considering raising its subscription by 8%. The calculation further down shows locally what changes in revenue and contribution at the same volume. Nobody knows beforehand how many customers really stay; that number stays open and is not estimated.
Put the goal into words. Add perspectives and timing right below.
Local calculation · nothing is stored or changed.
Price / Volume / Unknown
Your pricing question in the example
Frame your pricing decision in three answers. The calculation is further down; nothing is stored.
Local working example · nothing is saved or sent. Please don't enter personal data.
Draft · not yet put together
Two typical situations
Pick the situation. Assumption, calculation and open question follow from it.
Subscription at Feldberg Tee (fictional)
The example shows the structure with a fictional company. In Peak Command you read the same question from your own products.
To the next stepIs this for you?
A company that
justifies its prices.
Demand unknown
From the calculation to Peak Command
Today Peak Command computes federated scenarios from Peak Finance and Peak Year, such as a changed revenue assumption, and records decisions in Peak Log.
See scenarios in Peak CommandPeak Command / Your next step
Run your price change below. Then record the decision.
Run the price exampleThe actual demand effect: unknown.
Example · Price scenario
Base and two variants side by side. Nobody knows in advance how demand will change: without your assumption that part stays open, and you only see how many sales you need to keep.
Formulas: contribution per sale = price − variable cost. Sales to keep = base contribution ÷ new contribution per sale. Result = contribution × sales × (1 + assumption) − fixed costs.
Example Runs in this browser only · nothing is saved or sent · fictional values
No. The demo only calculates in your browser. It saves, sends and changes nothing.
No. You set the demand effect yourself as an assumption. Without one it stays unknown.
Scenarios on revenue, ad spend, delays and skipped initiatives. A scenario changes nothing until you apply it in the owning product.
No. The companies and numbers are fictional examples. They show the flow, they prove no effect.