Glossary - Planning and finance

Scenario analysis

Scenario analysis re-runs a store's plan or P&L under several named sets of assumptions - typically a base, an upside and a downside case - to show the range of outcomes before money is committed. An ecommerce operator uses it to test a price change, an inventory buy or a budget move against the downside.

For each scenario: profit = (orders × contribution per order) − fixed costs, with the inputs set by that scenario's assumptions

Variable	What it covers
Assumption set	The named inputs that define the scenario - demand, AOV, costs, return rate. One coherent story per scenario.
Model output	The same P&L arithmetic run on those inputs. Only the assumptions change between scenarios - never the math.

Worked example

Base case: 3,000 orders × A$27.60 contribution per orderA$82,800

= Base operating profit, after A$26,500 fixed costsA$56,300

Downside: demand −20% → 2,400 orders × A$27.60A$66,240

= Downside operating profitA$39,740

Upside: demand +15% → 3,450 orders × A$27.60A$95,220

= Upside operating profitA$68,720

The range the decision must surviveA$39,740 to A$68,720

Example numbers, per quarter. The A$27.60 contribution per order comes from the A$120 order stepped down on The Math.

What is a good scenario analysis?

There is no benchmark output - the quality lives entirely in the assumptions, and what a survivable downside looks like depends on your margin structure. A thin-margin store crosses into loss on a far smaller demand miss than a fat-margin one, so the spread matters more than the midpoint. Three tests: scenarios must be internally coherent (a downside where demand falls but ad efficiency conveniently holds is not a downside), few enough to act on, and anchored to a base case that has survived ledger reconciliation. Your own floor is computable: the break-even point tells you exactly how much downside the fixed-cost base can absorb.

Scenario analysis vs related metrics

Metric	What it measures	How it differs from scenario analysis
Demand forecasting	Expected units per SKU per period.	Produces the base case; scenario analysis stresses that forecast up and down.
P&L statement	Revenue down to profit for a past period.	The model being re-run - scenario analysis is the P&L pointed at the future, several times.
Break-even point	The volume where contribution covers fixed costs.	One built-in threshold; scenario analysis shows the whole range around it.
Price elasticity	How demand responds to price changes.	Supplies the demand response inside any pricing scenario, rather than competing with it.

Common mistakes

Moving one variable at a time. Real downsides arrive together - demand falls while CAC rises and returns climb. A scenario is a coherent story, not a single slider.
Anchoring on an unreconciled base case. If the base P&L has not tied out to the ledger, every scenario inherits its errors with confidence added.
Only modelling the upside. The decision-changing case is nearly always the downside - it sets how much inventory and ad budget you can responsibly commit.
Treating scenarios as forecasts. A scenario is a range to plan against, not a prediction to bet on. The output is a decision rule: what you do if the downside shows up.
Building ten scenarios nobody can act on. Past a handful, scenarios stop informing the decision and start decorating it.

Scenario analysis FAQ

Three to five: a base, a downside, an upside, and at most one or two decision-specific cases. Each one needs a named action attached, or it is not earning its place.

Sensitivity analysis moves one input to see which variables matter most; a scenario moves a coherent set of inputs together to describe a plausible future. Sensitivity finds the levers, scenarios test the plan.

The commitments that are expensive to reverse: seasonal inventory buys, price changes, big ad-budget moves and cash runway. If the downside case still clears, the decision is safe to make.

Demand forecasting P&L statement Break-even point Price elasticity All 14 free tools →

Blufire S11 Planning & Forecasting ships a Scenario Lab that re-runs your reconciled P&L under the assumption sets you name, and S13 Experiments (geo-lift, email and ad-set holdouts) turns the biggest assumptions into tested facts.

Updated July 2026