← All writing

$10B to place chips next to beer

Experience5 min

Supermarkets know that chips sell better next to beer. They know it because they paid to find out. In American grocery alone, suppliers hand the shops roughly nine billion dollars a year for nothing more than a place on the shelf,1 and then everybody pays again for the research that says which place. Call it ten billion. A year.

I got the same knowledge for free in 2020, when I joined a grocery delivery app where the bread was not next to the bread.

Bread next to bread

The app delivered groceries in fifteen minutes. I owned its catalog, on iOS and Android. And when I arrived, that catalog was organized the way the products sat in the database: by supplier. One company’s bread, beer and washing-up liquid lived together. Another company’s bread lived somewhere else.

Same twelve products
supplier_id = 0412
Sourdough loaf
Lager, 4 cans
Washing-up liquid
supplier_id = 0388
Salted chips
Diapers, size 3
Baguette
supplier_id = 0127
Wheat beer
Toast bread
Salted peanuts
supplier_id = 0955
Baby wipes
Sponges
Paprika chips
three kinds of bread, three different shelves
An illustration with made-up products. Sorting a shop by supplier is the true part.

Nobody had decided this. That is the point. A catalog that nobody designs takes the shape of the table underneath it.

It matters, because people do walk the aisles even when the aisles are pixels. In an eye-tracking study of forty online grocery shoppers in the UK, 95% found their way around by department, and 80% also used search.2

A shop is an interface, and shops needed a century to get theirs right. The first self-service grocery opened in Memphis in 1916 with 605 products, four aisles and a turnstile.3 Before that you handed a list to a man behind a counter. A supermarket today carries more than thirty thousand products,4 and nearly every one of them stands where it stands on purpose.

What shops paid for

Start with the rent. In 2003 the American competition regulator went and asked what a place on the shelf costs. Between $2,313 and $21,768, per product, per chain, per city. Suppliers told them a national launch needed one and a half to two million dollars before a single pack was sold.5

Then comes the question of which place. That one has been measured to the decimal point.

+13.8%
eye level against the bottom shelf
In a shop
In a six-store, twenty-week experiment, products at eye level sold 13.8% more than on the bottom shelf and 8.5% more than on the top one. The shelf as a whole sold exactly what it sold before. Shoppers only switched.
In an app
On a phone, eye level is the first screen, before any scrolling. Everything under it is the bottom shelf.
topeyewaistflooraisle end
Search
Weekend
New in
Sourdoughpaid
Lager
Chips
Diapers
Goes well with
Shop numbers from field studies and a US regulator’s report (see sources). The phone is a schematic, not a real app.

My favorite person in this history is the architect who drew the first enclosed shopping mall in 1956. The moment when you walk into a shop, lose the thread and start buying things you never came for is named after him. He hated what his idea turned into. In 1978 he said of the malls built in his image: “I refuse to pay alimony for those bastard developments.”9

Beer and diapers

Every product person has been told the one about beer and diapers. Diapers, in the original American. It is the founding story of the whole trade, and it is worth hearing properly.

Beer and diapers
Beer
several aisles
Diapers
sales soarnever happened
The story everyone tells

A big chain mines its tills and discovers that men sent out for diapers on a Friday evening also pick up beer. It moves the two shelves together. Sales of both go through the roof.

The most quoted finding in retail analytics, as far as anyone has been able to trace it.

I like the true version much more. The most famous finding in retail analytics never changed a single shelf in the shop it came from.10 It became true five years later, because somebody believed it.11

Reading the answers

So we did not run a research program. We read the answers.

Bread went next to bread. Categories were rebuilt around what a person came to do, which is the oldest idea in the trade: a category is a need, not a supplier.12 The top of the screen became the eye-level shelf, because on a phone the first screen is the only shelf everybody sees. Some positions became paid ones, as they are in every shop on earth.

And then the shelf that gave this piece its title. The rule was simple: whatever is likely to be bought together stands right next to each other. Chips next to beer, diapers next to the baby wipes, and sometimes, as the legend would have it, next to the beer as well.

Here is where online beats any supermarket. A shop has one wall, so the shelf next to the beer is the same for everybody who walks past it. An app has a wall for each person. We put a machine learning model behind that shelf, trained on what people actually put in their baskets together, so the row next to the beer was right for whoever was holding the phone.

Who is holding the phone
Lager, 4 cans
Goes well with
Salted chips
Paprika chips
Second four-pack
Peanuts
because people who buy this beer on a Friday evening usually buy something salty with it
An illustration with made-up shoppers and products. In the real app a model filled this row from what people actually bought together.

It was not all borrowed taste. We A/B tested the new catalog against the old one, and the new one converted 20% better, which was worth about half a million pounds a month. Together with the ML suggestions, the categories built around intent lifted thirty-day retention by 40% and added about £5M a year in recurring revenue. And since nobody should be placing products on shelves by hand, we automated the boring part.

+0%
conversion, new catalog against old, in an A/B test
+0%
thirty-day retention, with categories by intent and ML suggestions
−0%
time for a new product to reach the shelf

Ten billion dollars

None of this was clever, and I say that with some pride. It was product sense with a very expensive bibliography. Somebody else had paid for the shelves, the six-store experiments and the 1.2 million baskets. We showed up at the end and copied the homework.

Online we had exactly one unfair advantage. Moving a shelf cost us a row in a database. The same database that started all this.

The chips are next to the beer now. That will be ten billion dollars, please.

Sources and further reading
  1. Achrol on slotting allowances, Journal of the Academy of Marketing Science, 2012. The roughly $9bn a year is an estimate built on early-2000s data
  2. Benn et al., eye-tracking study of online grocery shoppers, Appetite, 2015
  3. The first self-service grocery, Memphis, 1916
  4. FMI, food industry facts: average number of items carried in a supermarket
  5. US Federal Trade Commission staff study, “Slotting Allowances in the Retail Grocery Industry,” November 2003
  6. Jalali, Cohen, Ertekin and Gumus, shelf-height field experiment, 2023 (summarized under “Planogram”)
  7. Nakamura et al. on end-of-aisle displays and drink sales in a UK supermarket, Social Science and Medicine, 2014
  8. Bezawada, Balachander, Kannan and Shankar on aisle placement of chips and soda, Journal of Marketing, 2009
  9. The Gruen transfer, and Victor Gruen’s 1978 remark
  10. The Register on the beer and diapers story, 2006: what the 1992 query did and did not find
  11. TDWI, “Beer and Diapers: The Impossible Correlation,” 2016: the 1997 chain and “the data that validates the data”
  12. Category management: a category defined by a shared consumer need
  13. “Why is milk in the back of the store?,” both sides of the argument
  14. Fortune Business Insights, retail analytics market size. A vendor estimate; others range from $7bn to $17bn