Not every price cut drives volume. And not every price increase costs you shoppers. The relationship between price and demand is rarely as straightforward as it looks, and in fresh produce specifically, that relationship shifts in ways that most promotional planning frameworks are not set up to account for.
Price elasticity is the measure of how sensitive shopper demand is to a change in price. A product with high elasticity sees a significant volume response when the price drops. A product with low elasticity barely moves when you discount it. Getting this wrong in either direction is expensive, either by discounting when it does not drive incremental volume, or by holding price when a targeted reduction would have grown the category.
Why Elasticity Is Not a Fixed Number
The mistake most businesses make is treating elasticity as a stable characteristic of a product. In reality, it moves. Quite significantly in fresh produce.
Seasonal supply changes the equation
When a product is in peak season and supply is high, shoppers often expect prices to be lower. The reference price in their mind shifts. In this context, holding price can actually suppress volume more than in off-season periods because the gap between expectation and reality is wider. Conversely, a modest discount during peak supply can generate a disproportionate volume response because it is aligned with what shoppers already believe the product should cost.
Quality perception shifts with the season
Early in a season, product quality tends to be variable. Shoppers who have tried the product before and had a disappointing experience are less price-responsive because price alone is not enough to overcome that doubt. Later in the season, when quality is consistent and shoppers have learned to trust it, the same price point tends to generate a stronger response. This means your most effective promotional window is often not at the start of the season when you might be most tempted to drive trial.
Competitive context matters
If a close substitute is on promotion at the same time, your own price elasticity effectively increases because shoppers have an easy alternative. If you are the only promotional option in the category that week, you tend to capture more of the available demand. Mapping your promotional calendar against competitive activity is not just about avoiding clashes. It is about understanding when your price moves will have the most impact.
What High and Low Elasticity Actually Tells You
Understanding whether a product is elastic or inelastic at a given point in time changes the decisions you should be making.
If a product has high elasticity right now, a well-timed promotion can generate meaningful incremental volume and, depending on the margin structure, a positive overall return. The key word is incremental. If the volume boost is largely coming from shoppers who were going to buy anyway, just at full price, the promotion has not grown the category. It has just shifted spend timing and reduced your margin in the process.
If a product has low elasticity, discounting is likely to hurt margin without generating a meaningful volume response. In these cases, in-store execution, quality messaging or pack format changes often move the needle more effectively than price. It is a different lever, but it is the right one for an inelastic product.
How to Estimate Elasticity from Your Own Data
You do not need a full econometric model to get a working sense of how elastic your products are. Scan data gives you enough to make a reasonable estimate.
- Identify a set of comparable promotional events. Look for weeks where you ran a similar depth of discount with similar in-store support and no major external disruptions.
- Calculate the volume uplift for each event. Compare promotional volume to the non-promotional baseline for that period.
- Group them by season and by retailer. You will almost certainly see variation. That variation is your elasticity signal.
- Plot the uplift against the discount depth. If larger discounts consistently drive proportionally larger volume responses, you have an elastic product. If the response is roughly flat regardless of discount size, the product is relatively inelastic and you are likely over-investing in price.
This is a rough calculation, not a precise model. But it is enough to start making better decisions about when to promote, how deep to go and where to focus your promotional investment.
The Practical Implication for Promotional Planning
The most straightforward application of this is timing. If your product is most elastic during a specific window in the season, that is when your promotional investment will work hardest. Concentrating activity in that window, rather than spreading promotions evenly across the season, tends to produce better commercial outcomes with the same or lower total spend.
The second implication is depth calibration. If you can identify the point at which additional discount depth stops generating proportional volume response, you can often reduce your promotional depth without sacrificing volume. That is pure margin recovery with no downside for the shopper.
"We had been running 30 percent promotions because that was what we had always done. The data showed that 20 percent generated the same volume response in our key window. We had been giving away margin for years without realising it." Commercial Manager, Fresh Produce Business
Making the Shift From Intuition to Evidence
Most promotional planning in fresh produce still relies heavily on experience and intuition. That is not without value. But it tends to produce plans that are optimised for what worked in the past rather than what the current data says will work now.
Price elasticity analysis is one of the clearest bridges between data and promotional decision making. It is specific, it is actionable, and the commercial upside of getting it right is usually visible within a single promotional season.
Want to understand the elasticity of your key products?
We build pricing and promotion models that show where your investment is working and where it is not. If you want a clearer picture of how your products actually respond to price, get in touch.
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