Guides · Intelligence

Scenario Simulator

Drag levers on spend, price, acquisition cost and conversion, and watch the profit and loss and the forecast recompute against real baselines.

5 min read

The simulator lets you ask what would happen before committing to finding out. This guide is for anyone planning a change to price, spend or targets. It covers what the levers do, why the results are more trustworthy than a spreadsheet, and the assumption that makes every simulation optimistic.

What it is doing

The simulator takes your real current position and applies the changes you specify, then recomputes profit and the forecast from the same engine that produces the actual numbers.

That last part is the important one. A spreadsheet model of your business is built from remembered figures and simplified relationships, and it drifts from reality the moment either changes. The simulator starts from measured cost of goods, measured shipping where ShipStation is connected, your locked operating expenses and your actual conversion rate. The baseline is not an estimate.

The levers and what they touch

Spend changes what you put into acquisition and flows through to customers acquired, using your current cost per acquisition as the starting relationship.

Price changes order value and gross margin simultaneously, which is why price is the most powerful lever on the screen and the most dangerous. A small price rise flows almost entirely to the bottom line, because the costs behind it barely move.

Acquisition cost models what happens if your efficiency changes, which is the lever to use when planning for a channel getting more expensive rather than hoping it does not.

Conversion rate models site and offer improvements. It multiplies through everything, because it changes how many of the visitors you already pay for become customers.

The assumption that makes it optimistic

Every simulator, this one included, assumes relationships hold as you move away from where you are. They do not.

Doubling spend does not double customers. The additional audience is less likely to convert than the audience the platform found first, so cost per acquisition rises as spend rises. The simulator will show a linear result and reality will bend.

Raising price does not leave volume untouched. Some customers leave, and how many depends on your category in ways no model can know without testing.

Treat the output as the best case and ask what happens if the relationship holds only partly. A change that is still worthwhile at half the modelled benefit is a change worth making. One that only works if the model is exactly right usually is not.

Where it is most useful

The simulator earns its keep on questions with an uncomfortable answer.

How much can acquisition cost rise before this channel stops being worth running. What price rise would offset a supplier increase. How far can conversion fall before the current spend stops making sense. These are the questions people avoid because the arithmetic is tedious, and they are exactly the ones worth knowing in advance.

It is less useful for optimistic planning, where it mostly confirms that good things would be good.

Using it with the forecast

The simulator explores. The forecast commits. Model a change here, decide whether it is worth doing, then edit the forecast to reflect the plan you have actually chosen, and confirm the month so you can measure against it.

Keeping those separate matters. A forecast that absorbs every scenario you explored is not a plan, and variance against it means nothing.

See this on your own numbers

Everything in this guide is a screen in Tatheon, running on your store rather than an example. Connect Shopify and the board is reporting real revenue in about ten minutes.

Open Tatheon