How Do You Model a Price Increase Before You Make It?
A price increase is modeled by estimating the revenue change, assuming a small amount of customer attrition, checking whether costs shift, and calculating how much of the net gain reaches profit.
Raising menu prices feels risky because it is visible to every customer at once. The way to take the risk out of the decision is not to guess, it is to model it. The approach used on coaching calls is to raise prices across all items by a defined amount, such as 4%, and then assume a small percentage of customers will leave because of it, such as 0.5% attrition.
Once those two numbers are set, the rest of the model follows. Cost of goods sold stays roughly the same as a percentage of sales, since the food itself has not changed. Credit card processing costs go up slightly because the total dollar value of each sale is higher. Everything else on the cost side stays flat.
That is why a price increase is one of the most efficient levers available: almost all of the net revenue increase drops straight to profit, and the risk at a modest increase is described as minimal. The model turns a nerve-wracking decision into an arithmetic exercise with a defined, bounded downside.
What Else Should Be Modeled Besides a Price Increase?
A full scenario set models five situations at once: three that could go right and two that could go wrong.
A price increase is only one of three upside scenarios worth building. The second is a new revenue stream, such as catering, a Sunday brunch service, retail products, or private events. The lesson is explicit that the revenue from a new stream cannot be modeled alone. It has to be weighed against the additional labor, cost of goods, supplies, and marketing spend needed to run it. What is left after subtracting those costs is the real net contribution.
The third upside scenario is an efficiency gain: cutting food waste, removing one overlapping shift, or renegotiating a vendor contract. These moves do not touch revenue at all, which is part of what makes them attractive. The cost reduction they produce drops entirely to profit, and the risk involved is described as low because nothing about the customer experience changes.
Together, these three upside scenarios give an owner a ranked menu of options rather than a single hopeful plan. The next step, covered below, is ranking them by how much profit each produces per unit of effort.
Why Do Downside Scenarios Matter More Than Upside Ones?
Downside scenarios matter more because a crisis that was never modeled forces decisions to be made under pressure instead of in advance.
The first downside scenario is a revenue loss: a competitor opens nearby, a major client disappears, a season turns slow, or construction blocks the entrance. In this scenario, variable costs drop in proportion to the lost revenue, fixed costs stay exactly where they are, and semi-variable costs need a judgment call. The profit impact is the revenue drop multiplied by the contribution margin percentage, which is why the plan has to name in advance at what point fixed costs get cut, and which ones go first.
The second downside scenario is a cost shock: a key employee quits and has to be replaced at a higher wage, a vendor raises prices, minimum wage increases, or a piece of equipment fails. Revenue does not move in this scenario. The entire cost increase comes straight off profit, which means the only lever left is finding something else in the business to cut to absorb it.
One of the most common mistakes called out in the lesson is modeling only the upside. Optimism is not a plan. An owner who has only ever mapped what could go right has nothing ready for the day something goes wrong, and that is exactly when decisions get made in a hurry instead of in advance.
Results are not typical and will vary with your business, your market, your team and how much of the work you actually do. Client figures on this site come from recorded interviews and are dated. Nothing here is a guarantee of revenue, profit or growth.
Why Does Total Profit Beat Margin Percentage?
Total profit beats margin percentage because profit is paid in dollars, not in percent, and a lower margin on more revenue can produce more of it.
“20% from $100,000 is $20,000. But 15% from $200,000 is $30,000. $30,000 is better than $20,000.”
That line came out of a live coaching call where a member was weighing whether to lower prices to drive more volume. The two scenarios were modeled side by side: a 20% margin on $100,000 in revenue, producing $20,000 in profit, against a 15% margin on $200,000 in revenue, producing $30,000 in profit. The lower-margin scenario won by $10,000, because the business cannot spend a percentage. It can only spend the dollars that percentage represents.
This is the same reasoning that underpins every scenario model. A decision can never be judged by one number in isolation. Revenue impact, cost impact, and profit impact all have to be quantified together before a lever gets pulled.
What Mistakes Ruin Scenario Models?
Scenario models break down when owners only model upside, ignore secondary costs, or leave the downside response to be improvised during the crisis itself.
- Only modeling upside: building optimistic scenarios while leaving the two downside cases unmapped.
- Forgetting secondary costs: pricing a new revenue stream by its food cost alone while ignoring the added labor, marketing, supplies, and management attention it requires.
- Not pre-writing downside actions: waiting until a crisis hits to decide what to cut instead of having a three-step contingency plan ready to execute immediately.
The fix for all three is the same discipline: for every scenario, upside or downside, quantify the revenue impact, the cost impact, and the resulting profit impact before deciding anything. Upside scenarios then get ranked by profit impact per dollar of effort, so the easiest, highest-return move gets tried first.
How Does a Restaurant Owner Turn Scenario Models Into a System?
Scenario modeling becomes a system when it is built into the business's regular planning cycle instead of being pulled out only during a crisis or a big decision.
Building five scenarios once is useful. Running that same discipline every time revenue, costs, or market conditions shift is what turns a one-time exercise into a habit that protects the business continuously. That is the kind of operating structure covered inside the Founders Board, where members get access to the full system behind this kind of modeling alongside the coaching that applies it to their own numbers.
Owners who want to see how structured decision-making plays out in practice can look at how it has worked for other operators, such as the Pizza Pizzazz case study, where installing KPIs across every line of the P&L preceded a sale of the business for over a million dollars. Those interested in applying this kind of modeling to their own operation can apply to work directly with the team.
