The Ten Drivers of Consumer Price Sensitivity

Price sensitivity is not a fixed property of a product. An established pricing framework names ten factors that push a shopper's sensitivity up or down depending on the situation they are shopping in. Why does the same product show very different elasticities on different shelves in different stores? The ten drivers explain most of it.

Drivers that make shoppers more price‑sensitive

• Reference Price Effect (driver 1): something is sitting there to compare your price against
• Expenditure Effect (driver 5): the purchase is big enough to feel against the shopper's budget
• Fairness Effect (driver 8): the price looks unfair next to what came before or what else is on the shelf
• Inventory / Framing Effect (driver 9): the product keeps well, so shoppers stock up when it is on promotion and then wait for the next promotion

Drivers that make shoppers less price‑sensitive

• Difficult Comparison Effect (driver 2): the alternatives are hard to line up against you, because your pack, format or size is not quite like anyone else's
• Switching Cost Effect (driver 3): changing brand costs the shopper something, in money or in effort or simply in habit
• Price‑Quality Effect (driver 4): the price is read as a signal of quality. Strongest on prestige products and on the ones whose quality a shopper cannot verify even after using them
• End‑Benefit Effect (driver 6): your product is a small part of what the shopper is really paying for, like a $2 spice in a $50 dinner
• Shared Cost Effect (driver 7): somebody else pays part of the bill, through an expense claim or an insurer
• Extremeness Aversion (driver 10): shoppers avoid the cheapest option and the most expensive one and drift toward the middle

The numbers are the order the table in the Formula section uses, and the other cards in this lesson refer to a driver by that number.

Each driver multiplies the base elasticity by a factor of its own. Multiply all ten factors together and the answer tells you how far the elasticity you actually face sits above or below the category average.

The compounding formula

Effect_i is the value you give each driver, where i is the driver's number, 1 to 10. It runs from -0.3, where that driver makes shoppers less sensitive to price, to +0.3, where it makes them more sensitive. The Π simply means multiply all ten together.

One word of care before you carry the answer anywhere. An effective elasticity is always the base elasticity after something has adjusted it, and in this formula the only thing doing the adjusting is the ten drivers. You will meet the term effective elasticity elsewhere in the course with a different adjustment behind it. That adjustment can be the extra volume lost when a price crosses a threshold, a competitor following your price move, or the elasticity you calculate backwards from a price change you have already made. Same idea each time, and not the same number, so whenever somebody hands you an effective elasticity, ask what was adjusted before you use it.

Worked example: CrunchField Premium Biscuits

Base elasticity: -2.0, the elasticity this example assumes for the category.

The compounded calculation

Product of factors = 1.10 x 0.95 x 1.05 x 0.85 x 0.95 x 1.00 x 1.00 x 0.95 x 1.05 x 0.90 = 0.7954

Effective Elasticity = -2.0 x 0.7954 = -1.59

The premium positioning and the mid‑range shelf position do most of the work here. Between them they give CrunchField noticeably more room to raise price than a generic brand in the same category has, even though both brands start from the same category elasticity.

Scenario

CrunchField Original 300g sells at $4.29 on the shelf in both a large supermarket and a convenience store. Same product, same price, but very different shopper contexts and therefore very different effective elasticities.

Supermarket context

Base elasticity is -2.0, the elasticity the Formula section's example assumes. The drivers multiply rather than add, so the five factors come to 1.15 x 1.10 x 1.10 x 0.90 x 0.95 = 1.190. Effective elasticity: -2.0 x 1.190 = -2.38.

Convenience‑store context

The five factors here come to 0.90 x 0.90 x 0.90 x 1.05 x 0.95 = 0.727. Effective elasticity: -2.0 x 0.727 = -1.45.

The 64% spread

The same product is about 64% more elastic in the supermarket than in the convenience store, since 2.38 divided by 1.45 comes to 1.64. On the Sandbox's demand curve a 5% increase costs about 7% of volume in convenience and about 11% in the supermarket, on an identical pack at an identical price, so the same rise is a small cost in one channel and a large one in the other.

Implication for the channel strategy

So put a smaller pack at a lower cash price, the amount actually paid at the checkout, into convenience, where what the shopper feels is the size of the whole bill for one quick trip. In supermarkets, hold the price you recommend on the full‑size pack, because there the other drivers all push shoppers to react harder to any rise.

Good pricing teams work on these drivers rather than accepting them as they find them. Six working rules cover most of what is available.

1. Make yourself harder to compare (Effect 2)

Use a pack size nobody else uses, 285g where the category runs 300g, or a format or a pack look that is yours alone, so a shopper cannot line your price up against a rival's in one glance. Some retailers now print the unit price, the price per standard weight or volume, on the shelf label, and that takes away part of this advantage. So be different enough that the unit price is not the only number the shopper has to go on.

2. Build switching costs (Effect 3)

Loyalty programs, subscriptions, products that sit inside a recipe people already use. Once CrunchField is part of a shopper's afternoon routine, changing brand means changing a habit, and that keeps them buying through a price gap that would otherwise make them switch.

3. Use price as a quality signal (Effect 4)

Spend on the things that show quality: the pack, visible ingredients, where it comes from. The signal works hardest on products whose quality a shopper cannot check before buying, and on the ones where quality only shows up once they have used it for a while.

4. Frame the end benefit (Effect 6)

A $4.29 box of premium biscuits sold "for your dinner party" gets measured against the cost of the whole dinner, somewhere above $50, rather than against the other boxes of biscuits. Marketing the occasion lowers price sensitivity without changing anything about the product.

5. Manage fairness perception (Effect 8)

Fairness runs harder in one direction than the other. An increase shoppers read as unfair costs you far more than a fair one of the same size earns you in goodwill. So give the reason every time, whether it is input costs, a better product, or an investment shoppers can see. A price move with no reason attached is the one shoppers are most likely to read as unfair.

6. Position in the middle (Effect 10)

A brand sitting at either end of the price range, the cheapest or the most expensive, is exposed to extremeness aversion. Put at least one option above you and your price becomes the comfortable choice rather than the extravagant one. A ladder of price tiers, from value up to premium, works for the same reason: each tier is anchored by the one above it.