Price Elasticity of Demand
Understanding how price sensitivity determines whether a price change makes or loses money
A 1% price increase lifts profit even after the volume you give up. But at this brand's roughly 42% margin, a 1% price cut needs about 2.4% more volume just to break even, and at the lesson's -1.7 elasticity it delivers only about 1.7%. So the cut quietly loses money.
Across a published analysis of the Global 1200, a 1% improvement in price realization lifts operating profit by 8.7%on average. Compare that to 5.9% from a 1% variable cost reduction, 2.8% from a 1% volume increase, or 1.8% from cutting fixed costs. The rank order never changes: price is the single highest-leverage line on the P&L by a wide margin, and the sensitivity runs from roughly 7% to 15% depending on the starting margin structure. Yet most FMCG pricing decisions still ignore how consumers actually respond. The tool that bridges the gap is a single number: price elasticity of demand. But elasticity isn't a fixed constant. It changes shape depending on the model you use, the price point you're at, and even the direction of the change. Price increases and decreases produce asymmetric volume responses: losing customers is easier than winning them back.
The log-linear curve at e = −2.2 sits close to the published meta-analytic brand-level average of −2.6 across 1,851 estimates. Most FMCG brands operate in the −1.0 to −2.5 range.
Three demand models for the same product: linear (straight line), log-linear / constant-elasticity (power curve), and logit (S-shaped). Near the base price they converge; at extreme prices they diverge dramatically. The model you choose determines your volume forecast and your profit recommendation.
Price Elasticity of Demand
Price elasticity quantifies the percentage change in volume demanded for every 1% change in price. An elasticity of -2.0 means a 1% price increase costs you 2% in volume. The revenue impact depends on where |e| sits relative to 1.0. Elastic demand (|e| > 1) means price increases shrink revenue, while inelastic demand (|e| < 1) means price increases grow revenue. However, the profit impact depends on your contribution margin structure, not just revenue.
Elasticity is the foundational input to every pricing decision. The average brand-level elasticity across more than 1,800 published estimates sits at -2.6: for every 1% price increase, the average branded product loses 2.6% volume. But that average masks a 7x range, from -0.5 for essentials like baby formula to -3.5 for soft drinks. Your job is to know where your brand sits, and why. And to remember: price increases always cost more volume than equivalent price cuts recover. Demand is not a mirror. The full P&L consequence of that asymmetry, how a volume change flows through to operating profit (EBIT), is the topic of the P&L Impact Lab.
Master these pricing concepts before exploring the simulator
23 concepts- Purpose
- Simulate how price sensitivity (elasticity) determines whether a price change makes or loses money for a biscuit brand.
- How to use
- Set elasticity and pass-through on the left panel, then drag the price slider to see volume, revenue, and gross-profit curves respond in real time. Toggle the AI strategist for live commentary.
- What to watch
- Revenue peaks at unit elastic (-1.0). Profit peaks higher. The gap between the two is determined by variable cost. This is the core insight Lesson 8 builds on.
Controls
CrunchField 300g, Hero SKU
Flagship biscuit SKU. Base price $4.29, cost $2.49, volume 2.00M units/month. At roughly $103M in annual revenue, this is a top-tier performer. The kind of SKU where a 1% price decision is worth seven figures a year.
The shelf price consumers see. Higher prices increase margin per unit but risk losing price-sensitive shoppers.
How sensitive demand is to price changes. The default -1.7 matches the CPG working ceiling for established brands; most brands with meaningful equity sit in the -0.8 to -2.0 zone. Slide toward -2.62 to stress-test against the meta-analytic upper bound, or to -3.5 to model a soft-drink / pure-value product. See the Calibration Anchors concept card for the three reference points every pricing manager should know.
Select a break-even type to overlay on the chart.
How much of your wholesale price change reaches the shelf? 100% = full pass-through.
A senior RGM director's read on every move you make. Toggle off any time.
Demand Curve
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The Elasticity Reality Check
You are the pricing manager for CrunchTime, a mainstream biscuit brand with 12% category share. Your 200g pack sells at $3.49 with weekly volume of 48,000 units. The CFO wants a cost-recovery price increase, but your sales director warns of volume loss. You have scanner data and need to use elasticity analysis, grounded in strategic pricing principles, to determine whether the increase will help or hurt the P&L.
CrunchTime raised its price from $3.49 to $3.69 and weekly volume dropped from 48,000 to 43,200 units. What is the point elasticity of demand (to one decimal place)?
You now understand that elasticity tells you HOW MUCH volume you will lose from a price change. But the real question your CFO and sales director need answered is different: how much volume can you AFFORD to lose before the price increase actually destroys gross profit? That critical threshold has a name, the Break-Even Volume, and the elasticity value that sits exactly on it is called the Break-Even Elasticity. If your actual elasticity is less negative than the break-even, your price move is contribution-positive. If it is more negative, you are destroying profit. This single comparison is the profit test every pricing decision must pass, and it is the most commercially useful number in the entire course. Next up: the math that wins pricing arguments.
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