The most valuable pricing move in retail isn’t the biggest one. It’s the smallest, applied precisely to the right products. Here is what that actually looks like — across two real categories at one Latin American retailer — and why most retail leadership teams reach for exactly the wrong number when margins come under pressure.
The number that won’t go away
A roughly one percent volume-weighted price move across the assortment, applied with discipline, produced a six percent gross-margin lift. Volume held nearly flat. Top-line sales were essentially unchanged. The entire gain went into the margin line.
The numbers come from a real implementation — a Latin American pharmacy and convenience chain, baby and infant care category, around 490 SKUs. The same retailer ran a parallel exercise in personal hygiene that same wave, on more than 1,000 SKUs, and produced a 3.7 percent margin lift on a 2.3 percent price move. Different categories, different shapes, same direction.
In the right conditions — a retailer that has never run science-based pricing, a category with clean cost data, a willingness to give up a percentage point of volume — the headline number can climb closer to eight or nine percent. But the floor is much more useful to talk about than the ceiling, because the floor is what most retailers can actually deliver. And the interesting part is not the headline number anyway. It is the shape of the move that produces it.
Why “small” beats “big” almost every time
There are two reflexes a retail leadership team reaches for when margins come under pressure.
The first is cost-plus pass-through — raise every shelf price by the input-cost change and hope customers don’t notice. They notice. They go to the retailer who didn’t pass it through. That reflex was the subject of an earlier piece and won’t be re-litigated here.
The second is the opposite. Commission a “pricing transformation.” Promise the board a two-year overhaul of how the retailer thinks about price. The board likes the story. The team builds a roadmap. Twelve months later there is a slide deck, some training, and not much margin to show for it.
The maths has no patience for either reflex. The maths likes something quieter — a disciplined, analytically driven set of mostly-small price moves on the products where the elasticity actually allows it. Big moves on the wrong products lose volume faster than they recover margin. Small moves on the right products compound across the assortment. After 21 years of working on pricing across three continents, that is the most consistent pattern in the work.
Where the surprise lives
The most common misconception about pricing optimisation — even among teams that have run pricing programs before — is that “improve margin” means “raise prices.” It doesn’t.
The peak of an optimal-price curve, for any given product at any given moment, can mean the retailer is currently overpriced. It can also mean the retailer is underpriced. There is no general direction to the result. Mathematical modelling reveals which way the move goes, and the modelling is not simple. The model has to account for seasonality, whether the product is in stock, cross-elasticity with adjacent products, what the competitor did at the same time, whether the product is new, whether there is a trend in the market, whether an advertisement ran, whether there was a promotional price in place — all of these factors at once. When the models are built properly, the output is the actual shape of a multidimensional elasticity curve, and that shape indicates, SKU by SKU, whether the price should be dropped or increased.
If the work is done well, an optimised price scenario will have a healthy mix of prices going up and going down. The overall volume-weighted price change often does not need to go up much at all to produce a meaningful increase in margin. And in cases where the margin increase does come at the cost of a small volume loss, that loss can be managed carefully — sometimes to nearly zero, sometimes even to a positive number.
Six to seven percent margin lift is a credible expectation. Seven to eight percent is achievable if the retailer is willing to give up a point of volume. The longer a retailer has drifted away from optimal prices — running on cost-plus or pure competitor matching for years — the more there is to recover. Optimised prices should be reviewed continuously, but never less than once every six months.
What it actually looks like
A Latin American pharmacy and convenience chain ran a science-based pricing exercise on its baby and infant care category. Around 490 SKUs were in scope — infant formulas, diapers, wipes, diaper creams, feeding bottles, accessories. Before the exercise, the category had been priced on a mix of cost-plus markups and competitor matching. Afterwards, the price set looked unrecognisable to anyone expecting “we’ll raise everything by two percent.”
Of 488 priced SKUs, roughly half (50 percent) moved up. A quarter (25 percent) moved down. A quarter (25 percent) were held in place. The volume-weighted average price across the entire category rose 1.2 percent. Volume dropped by half a percent. Gross margin grew 6.1 percent — around US$4.4 million of additional margin on a US$72 million base. Top-line sales were essentially flat. All of the gain went into the margin line.
The pattern inside those numbers is what makes the mathematics work. The biggest margin lift came from two segments. The profit drivers — 155 SKUs in this category — delivered more than 13 percent margin lift on their own. The long tail of low-velocity visibility items contributed nearly as much in percentage terms, by tightening prices on items the retailer had effectively left unattended. The high-traffic image items — the diaper packs and formula tins customers actively compare across retailers — actually gave up margin, deliberately, to stay competitively priced against two regional pharmacy chains. The retailer was not trying to win margin on those products. It was using them as traffic anchors and earning the margin on the surrounding assortment instead.
That is the principle that makes a small move produce a large lift. Optimisation is not “apply 2 percent across the assortment.” It is deciding, SKU by SKU, what each product is supposed to do for the category — and pricing it for that job.
Same principle, different shape
In the same wave, the same retailer ran a parallel exercise on its personal-care category — skincare, oral care, body care, soaps, accessories. The category was much larger: 1,018 SKUs. The result was less dramatic but more instructive.
The volume-weighted price change came in at 2.3 percent — close to the canonical “two percent” everyone references. The margin lift was 3.7 percent, around US$3.1 million on an US$84 million base. Volume dropped one percent. The gross-margin percentage on the category lifted from 41.7 to 43.0 — a 130 basis-point move.
The most interesting part of the personal-care result was that half of the 1,018 SKUs were held in place. Not adjusted up. Not adjusted down. Held. They were already at or near optimal, so the disciplined answer was to leave them alone. The margin lift came almost entirely from the roughly 200 profit drivers in the category, with everything else essentially neutral. The image items again gave back a small amount of margin, by design, to maintain competitive positioning against the same two regional chains.
This is the lesson the baby-care category — with its more active 50/25/25 split — hides slightly. Sometimes the right answer for a SKU is no change. A pricing exercise that ends up moving every price is, almost by definition, a pricing exercise that has been done badly. The discipline is in deciding what to do on every SKU. Most of the work is deciding to hold.
Why most retailers don’t get there
The dominant failure mode in retail pricing is uniform application. A retailer commits to a two percent price increase. The board approves it. The team moves every price up by two percent on the same day. Within a quarter, volume on the elastic SKUs has collapsed, the inelastic SKUs have left margin on the table, and the average effect across the assortment is approximately zero — sometimes negative.
The second-most-common failure mode is the opposite. Nothing happens. The pricing team waits for a “transformation” budget that never gets approved. Twelve months pass. The optimal price set the retailer could have implemented quietly, weekly, with the data they already have, sits in a model that nobody runs.
The pattern that produces six percent margin lift on a one-and-a-bit percent price move requires neither a transformation budget nor a uniform decision. It requires the willingness to make 488 different decisions across 488 SKUs, and to act on most of them in the next pricing cycle. That is not a story a board wants to hear. It is a story the pricing team has to be allowed to execute on anyway. The readiness signal worth watching is when senior leadership starts asking elasticity-shaped questions instead of demanding round-number price moves. That conversation is the door opening.
What to do this quarter
The playbook is unglamorous and works:
- Pick one category. Specialty retail or a single curated assortment delivers the fastest payoff because the base margin is higher and the assortment is small enough to manage.
- Get cost, volume, and competitor data into the same place. The data doesn’t have to be perfect. A loose connection between POS, inventory, and observed competitor prices is enough to start.
- Tag each SKU with a role: profit driver, image item, can promote, improve visibility, hold. The roles are the strategic decision; the prices follow.
- Run a model that captures multidimensional elasticity — seasonality, stock, cross-elasticity, competitor moves, newness, trends, advertising, promotional history. Not all of those at once on day one. Add them as the data matures.
- Move the prices the model recommends. Half will go up. A quarter will go down. A quarter — sometimes more — will hold. Resist the urge to round, smooth, or simplify.
- Measure weekly. Re-optimise at least every six months. Faster in categories where costs or competitive moves are more frequent.
Use AI to do the work humans cannot — cleaning data, surfacing candidates, watching the competitor matrix. Keep humans on the price decisions until trust is earned. Bleeding-edge approaches — full autonomous pricing on day one — produce stories about Amazon books priced at $250 because two algorithms got into a fight. Leading-edge approaches are humans-on-the-decision and algorithms-on-the-evidence.
The honest version
Six percent more margin from a one percent price move is the highest-ROI intervention available in retail today. It is also the most ignored. Boards want stories about transformation. Pricing teams want quarterly targets. The discipline that produces this kind of result is unglamorous, repetitive, and exactly the kind of work that doesn’t fit either narrative.
The retailers who do it anyway compound the gain. The ones who don’t keep waiting for the transformation that never quite arrives.
Kiran Gange is the founder and CEO of RapidPricer, author of The Expert Guide to Retail Pricing (Routledge), and host of the Retail Price Talk podcast. He has 21 years of experience in retail pricing across three continents.