Analysis No. 4 · November 2026 · Nelson Viegas

Who runs the supermarket?

The story nobody ever told you.

We gathered the strongest research on power in consumer goods: meta-analyses on brands, advertising and word of mouth, official statistics from Portugal and Europe, retailers' accounts, ten decisions by the Portuguese Competition Authority (Autoridade da Concorrência), studies of stock-outs covering 71,000 consumers, and experiments with real shelves. The manufacturer ruled for decades. Then the store ruled. Today both obey someone who does not know they rule.

47%

Share of private label in the sales of Portugal's large supermarkets in 2024; it was 31.7% in 2011

INE, Official1
62%

Share of consumer goods in Portugal held by the three largest chains: Continente, Pingo Doce and Lidl

Worldpanel 2025, Analyst2
52 days

Of Jerónimo Martins' sales financed by payment terms to suppliers in 2024; working capital is negative by €4 billion

JM 2024 results, Official3
31%

Shoppers who go to another store when they cannot find the product; only 26% switch brand

Gruen, Corsten and Bharadwaj 2002, 71,000 consumers in 29 countries, Survey4

153 sources · 9 chapters · 1 triangle · about an hour's read

A note before we begin

Nelson Viegas in a blue suit and light blue shirt, in an office with natural light

The first three analyses looked at selling between businesses: why salespeople do not sell, what makes a company change, what the best sales model is. This one changes setting and goes to the supermarket, where a war between those who make and those who sell has been fought for decades.

That war is usually told like this: first the brand ruled, then the store took over. It is true, but the main character is missing. Neither the manufacturer nor the retailer decides alone. Both spend the day trying to guess what a person will do who has never sat at the negotiating table and has no idea how much weight they carry.

I wanted to know if the research confirms this intuition. It confirms half of it. The consumer has power, but it is a power of veto, not of command. And whoever keeps the traces they leave behind, the data from every purchase, is the store. This analysis tells the three eras of this story and what each one teaches those who make, those who sell and those who buy.

As in the previous analyses, no book is the basis of this work. Store Wars, by Judith and Marcel Corstjens, Ries and Trout, Kotler, Lakoff and Lindstrom come in here on the same level as any other study: as sources, through the same filter.

Nelson ViegasFounder of Superior Training Technology

Summary

Nine conclusions

In chapter order. Each one leads to the evidence.

  1. 01 · The rule

    Whoever aggregates demand, rules.

    Power in consumer goods never belonged to those who produce or those who sell. It always belonged to whoever managed to gather the demand of millions of people.

    See the evidence →
  2. 02 · The manufacturer's era

    The brand ruled because it spoke to everyone at once.

    Mass advertising gathered demand around brands. That effect still lasts for decades, but each euro of advertising returns less today than it used to.

    See the evidence →
  3. 03 · The retailer's era

    The store won when it joined forces.

    Three chains hold 62% of the Portuguese market. Whoever pays at 30 or 60 days and sells for cash is financed with the supplier's money.

    See the evidence →
  4. 04 · Private label

    Private label is the consumer saying "enough".

    It went from 31.7% to 47% of sales. Now it is reaching its limit, and the one setting the limit is the consumer.

    See the evidence →
  5. 05 · The shelf

    The shelf grabs attention, but does not decide.

    Doubling a brand's space greatly increases who sees it and barely increases who buys it. What the consumer already does weighs more than what the store shows them.

    See the evidence →
  6. 06 · The veto

    The consumer punishes without coordinating.

    Faced with a stock-out, one in three goes to another store. Nobody organises these punishments, but together they move sales.

    See the evidence →
  7. 07 · The new war

    Whoever keeps the traces, rules.

    Every purchase leaves a trace. The loyalty card turned those traces into an asset of the store. The war between manufacturer and retailer has become a war over data.

    See the evidence →
  8. 08 · The order

    Whoever drives sales, drives orders.

    Each sale triggers the next order. Whoever makes the product leave the shelf convinces the algorithm, and in-store work has become power again.

    See the evidence →
  9. 09 · The digital aisle

    Whoever delivers, reads.

    Online is small in Portugal, but retail media has let the store sell the manufacturer access to the consumer. Whoever delivers keeps the last trace.

    See the evidence →

The backbone of the analysis

The triangle of power

There are three forces in consumer goods: those who make, those who distribute and those who buy. In each period, one of them manages to gather demand and the other two organise themselves around it. The triangle shows which way power leans in a category. Every chapter comes back to this triangle.

The triangle of power Three corners: manufacturer, retailer and consumer. Power moved from the manufacturer to the retailer through concentration and private label. Today both compete to read the consumer, who holds a veto. Manufacturer 1st era: the brand Retailer 2nd era: the store Consumer veto, not command CONCENTRATION · PRIVATE LABEL TODAY: BOTH COMPETE TO READ THE CONSUMER

Manufacturer

Gathers demand with brand, advertising and innovation. Rules when the consumer asks for the brand by name and changes store if they cannot find it.

Retailer

Gathers demand with stores, range, price and data. Rules when the consumer chooses the store first and then accepts what it has.

Consumer

Comes together without a leader, through shared needs and the traces they leave: what they buy, what they stop buying, what they talk about. Does not command, but vetoes. Rules when manufacturer and retailer cannot predict what they will do and have to chase after them.

Where the triangle comes from

The triangle is my own synthesis. It does not exist in this form in the literature, but each side rests on published research.

The idea that dispersed demand coordinates itself without anyone directing it comes from the economist Friedrich Hayek5. In 1945 he described prices as a communication system: when a raw material becomes scarce, thousands of people start using it more carefully without anyone giving an order and without almost any of them knowing why.

Biology has a name for the same phenomenon in social insects. The zoologist Pierre-Paul Grassé called it stigmergy, in 1959, while observing termites6. Each one acts as if it were alone, but responds to the traces the others have left, and from the whole emerges a structure none of them planned. Applying this idea to consumers is our contribution. We found no empirical study that does so.

The war between manufacturer and retailer is described in Store Wars, by Judith and Marcel Corstjens7, and measured in decades of studies on concentration, private label and promotions, which appear in chapters 3 and 4.

Three warnings

The eras are not clean. The marketing historian Ronald Fullerton showed that the famous "production era", in which companies only thought about manufacturing, is largely a myth8. At the end of the 19th century, manufacturers were already doing advertising, research and aggressive selling. The eras of this triangle describe which way power leaned, not an overnight change.

Power changes from category to category. In the same store, on the same day, there are categories where the brand rules and others where the store rules. The triangle describes a category, not a whole sector.

Veto is not command. The consumer rarely says what they want. They say what they will not accept, and they say it by buying elsewhere, switching brand or stopping buying.

The three types of category

Which way it leansHow to recognise itTypical examplesWho winsThe most common mistake
Brand categoryThe consumer asks by name and changes store if they cannot find it. Private label has a small share.Cola soft drinks, spreads, razor blades, beerThe manufacturer who keeps the brand aliveThe store trying to replace the leading brand and losing the customer to a competitor
Store categoryThe consumer buys what the store has. Private label dominates. Price decides.Milk, sugar, rice, kitchen rollThe retailer, with private labelThe manufacturer spending on advertising where the consumer does not tell brands apart
Contested categorySales change fast, there are new brands, the consumer talks and compares.Protein, healthy snacks, plant-based drinks, cosmeticsWhoever first reads what the consumer is asking forBoth waiting for the trend to be confirmed and arriving late

The examples are illustrative. How to position your category is in the test at the end.

1

Chapter 1 · The rule

Whoever aggregates demand, rules.

Power in consumer goods was never in the factory or the warehouse. It was always with whoever managed to gather the demand of millions of people and speak on its behalf.

r = 0.32

Average correlation between knowing the market and getting good results, across 114 studies with more than 61,000 responses

Kirca, Jayachandran and Bearden 2005, meta-analysis, Academic9
1964

Year in which the United Kingdom banned manufacturers from imposing the retail price in stores; the power to set prices passed to retail

Mercer 2014, Academic10
No

Answer of a 1995 study to the question "has power shifted to retail?"; retailers' margins did not rise at manufacturers' expense

Messinger and Narasimhan 1995, Academic11

What aggregating demand means

A single consumer has no power at all. They buy one pack of yoghurts a week. No manufacturer changes the recipe for them and no chain changes its range.

Power appears when someone gathers millions of these small purchases and manages to speak on their behalf. The manufacturer did it with the brand: millions of people asking for the same name in different stores. The retailer did it with stores: millions of people walking down the same aisle every week. In each era, whoever aggregates sets the terms for whoever does not.

The research confirms that reading the market pays

In the 1990s, two groups of researchers, Ajay Kohli and Bernard Jaworski on one side, John Narver and Stanley Slater on the other, defined what a market-oriented company is12, 13. It is a company that gathers information about customers and competitors, circulates it internally and acts on it.

Ahmet Kirca, Satish Jayachandran and William Bearden brought together 114 studies on this idea, with more than 61,000 responses from companies in several countries9. The relationship between market orientation and performance is positive and consistent: an average correlation of 0.32. In the social sciences, that is a medium and very stable effect. Another meta-analysis, by Rodriguez Cano and colleagues, reached a similar conclusion14.

This says something simple: whoever reads the customer better earns more. The question for this analysis is who manages to do that reading in each period, and who ends up depending on someone else's reading.

The first shift in power was made by law

The story is usually told as a natural evolution, but the first big change had help from the legislator. Until the 1960s, in several countries, the manufacturer could impose the price at which its product was sold in the store. In 1964, the United Kingdom abolished that practice10. From then on, the store could use the price of brands to attract customers, and competition between chains came to be fought with the manufacturer's product.

Who gained from the change?

In 1995, Paul Messinger and Chakravarthi Narasimhan tested the often-repeated idea that power in the grocery channel had shifted from the manufacturer to retail11. They analysed the profitability of both sides over several years in the United States. Retailers did not become more profitable at manufacturers' expense. The authors suggest that the one who gained was the consumer, with lower prices and more choice.

It is the first sign that the war between manufacturer and retailer has a third side.

What to do

  • Manufacturerask who gathers the demand in your category. If it is the brand, invest in it. If it is the store, your customer is the store, and the commercial plan starts with its numbers.
  • Retailerconcentration gives you strength in negotiations, but does not guarantee it with the consumer. The strength comes from those who walk through the store every week.
  • Consumerevery purchase is a small vote. Added to those of millions of people, it is what decides what stays on the shelf.
Read with careKirca's meta-analysis measures companies that say they are market-oriented. It is a self-reported measure, collected in surveys of managers. The Messinger and Narasimhan study is from the United States and from 1995, before private label grew in Europe. Both support the rule, but neither measures power directly. Power cannot be measured; it is seen in its effects.
2

Chapter 2 · The manufacturer's era

The brand ruled because it spoke to everyone at once.

For most of the 20th century, the one who gathered demand was the brand. Mass advertising got millions of people asking for the same name in thousands of different stores, and the shopkeeper simply stocked the product.

Decades

How long the advantage of a brand that arrived first in a region lasts; in the US, today's shares still reflect the order of arrival from more than 50 years ago

Bronnenberg, Dhar and Dubé 2009, Academic15
0.12 and 0.24

Average advertising elasticities, short and long term; doubling advertising raises sales by about 9% straight away and about 18% over time, and the effect has been falling

Sethuraman, Tellis and Briesch 2011, meta-analysis, Academic16
50.7%

Share of the promotion and advertising budget of US consumer goods manufacturers that was already going, in 1995, to promotions paid to the store; advertising got 25.1%

Carol Wright survey, via Supermarket News 1996, Press17

How the brand gathered demand

Before the chains, the store was small, independent and local. There were tens of thousands of grocers in each country, each with its owner, its tab and its range. None had the strength to impose terms on a national manufacturer. A manufacturer alone could not visit them all either.

The brand solved both problems at once. Radio, newspapers and then television allowed the manufacturer to speak directly to the consumer, over the shopkeeper's head. When the customer walked into the grocer's asking for a brand by name, the shopkeeper had no choice. If he did not have it, the customer went next door.

This is what gave the manufacturer power: not the factory, but the fact that it was the one gathering dispersed demand around a name. The shopkeeper became a point of passage.

The quote that shows the era, and the quote that was made up

Henry Ford wrote, in his 1922 autobiography, that customers could have the Model T in any colour, so long as it was black18. The quote is real and portrays a time when whoever mass-produced could dictate supply.

The other famous quote attributed to Ford, "if I had asked people what they wanted, they would have said faster horses", does not appear in any of his writing. Quote Investigator first found it in 1999, in a cruise magazine and with no link to Ford; the first attribution to Ford is from 2001, more than 50 years after his death in 194719. It is used to argue that the consumer does not know what they want. We come back to it in the section on numbers without a source.

The brand still matters, and matters for decades

It is tempting to say the manufacturer's era is over. The research says it is not over: it has slowed down.

Bart Bronnenberg, Sanjay Dhar and Jean-Pierre Dubé studied the shares of consumer goods brands in dozens of US cities15. In many categories, the leading brand in a city is the one that got there first, sometimes more than half a century ago. The advantage of having gathered demand early is passed down from generation to generation, through family habits.

It is the first sign that the aggregation built by the manufacturer does not disappear when the store gains strength. It stays stored in consumers' memory, and that is why the store cannot replace every brand with its own.

The war moved into the consumer's head

In 1969, Jack Trout wrote an article in an industrial trade magazine that would lead, in 1981, to the book Positioning: The Battle for Your Mind, with Al Ries20. The central idea is that positioning is not a property of the product. It is what the brand manages to do in the customer's mind, compared with its competitors.

Read in the light of this analysis, the book describes the peak of the manufacturer's era and, at the same time, the beginning of the end. The battlefield was no longer the factory or the store: it was the consumer's head. Whoever managed to take a place there gathered demand. Ries and Trout wrote for manufacturers, but the principle holds for any side of the triangle. When, later, the store managed to take that place with its own banner, it started playing the same game, with the advantage of also owning the shelf.

But each euro of advertising returns less

Raj Sethuraman, Gerard Tellis and Richard Briesch brought together 751 short-term and 402 long-term elasticities, from 56 studies on advertising16. The average elasticity is 0.12 in the short term and 0.24 in the long term. In practice, doubling advertising spend raises sales by about 9% straight away and about 18% over time. The elasticity has been falling from decade to decade.

The likely cause is fragmentation. When there were two television channels, a campaign reached almost everyone. Today, attention is split across hundreds of channels and thousands of screens. The brand still speaks to many, but no longer to everyone at once, and that is what gave it power.

The manufacturer started paying the store to reach the consumer

As advertising returned less and chains grew, the manufacturer's money changed destination. In 1995, according to an annual survey by Carol Wright Promotions, promotions paid to the store already accounted for 50.7% of the promotion and advertising budget of consumer goods manufacturers in the United States. Consumer promotions got 24.2% and advertising 25.1%17.

The money that used to go on talking to the consumer started going to the store: launch discounts, leaflets, gondola ends, listing fees. It is the clearest sign that the manufacturer had stopped being the one gathering demand.

The side effect of promotions

Carl Mela, Sunil Gupta and Donald Lehmann followed purchases of a packaged consumer good for more than eight years21. Promotions made consumers more sensitive to price and to promotions. Advertising did the opposite: it reduced price sensitivity.

The manufacturer who swaps advertising for promotions is teaching the consumer to wait for the discount. It gains volume straight away and loses part of the reason the consumer paid more for the brand. The one who benefits is whoever controls the discount, and whoever controls the discount is the store.

Portugal is an extreme case. In 2018, Nielsen measured 46% of consumer goods sales in Portugal as made on promotion, against 16% in Spain22. In 2024, 63% of the items in Portuguese chains' leaflets were on promotion, with an average discount of 28.8%23. A market trained for years to buy on promotion is a market where the brand is worth less and the store is worth more.

What to do

  • Manufacturera strong brand is the only asset the store cannot copy. Every euro moved from advertising to promotion should be a decision, not a habit.
  • Retailerbrands with decades of history bring customers to the store. Removing them can cost more than the margin gained with private label (chapter 4).
  • Consumerthe brand you buy out of habit may have been chosen by your grandparents. It is worth trying something else now and then.
Read with careThe Bronnenberg, Dhar and Dubé study was done in the United States, where national brands spread city by city. In Portugal, the market is small and brands reached the whole country at almost the same time, so the effect may be different. The 50.7% from 1995 comes from the trade press and refers to the US. We found no equivalent figure for Portugal.
3

Chapter 3 · The retailer's era

The store won when it joined forces.

The shopkeeper alone never had power. The store only gained strength when thousands of grocers gave way to a few chains, each gathering the demand of millions of people in the same store network and the same buying office.

62%

Share of consumer goods in Portugal held by the three largest chains; with Mercadona, the top four reach about 69%

Worldpanel 2025, via ECO, Analyst2
29.5%

Share of consumer goods in Spain held by a single chain, Mercadona; the second, Carrefour, has 7.2%

NIQ 2025, via Forbes España, Analyst24
40.4%

Share of food sales in Portugal already going, in 1994, through hypermarkets, which were less than 0.1% of stores; in 1987 it was 5.4%

Nielsen, via GEPE 1997, Official25

Fiat lux: how it began in Portugal

Modern retail in Portugal is little more than fifty years old. The story is told in three layers, which coexisted for some years: the wholesaler and the cash and carry, the first supermarkets and, finally, the hypermarkets.

First, the wholesaler

Until the 1980s, consumer goods reached the consumer through a long chain. The manufacturer sold to the wholesaler, the wholesaler sold to the grocer, the grocer sold to the customer. In 1990, Portugal had 19.2 stores per 1,000 inhabitants, against 11.3 on average in the European Community26. In 1993 there were 173,300 retail businesses, and only 35,752 had employees; half the stores were under 50 m²26.

In this world, the one who gathered the grocers' demand was the wholesaler. From him came the cash and carry: a wholesale warehouse where the shopkeeper went to choose, paid in cash and took the goods away. Recheio was born this way, in 1972, in Figueira da Foz27. In 1988, Jerónimo Martins bought 60% and, the following year, the rest28, 27. In February 1990, Makro opened the first store in Portugal in Alfragide29. Even today, Recheio sells about half to the food service sector and half to small grocers30. The cash and carry is the link that connects modern retail to traditional retail.

Then, the supermarkets

The first generation of supermarkets arrived in the 1970s. The Brazilian group Pão de Açúcar, founded by an emigrant from Guarda, opened the city's first modern supermarket in the early 1970s, on Avenida Estados Unidos da América, in Lisbon31. In 1975, after the revolution, the State intervened in the company. In 1985 it had 49 stores, and in 1987 it was the national supermarket leader, followed by Modelo, from Sonae, by Pingo Doce, from Jerónimo Martins, and by the Inô supermarkets31.

Inô, from Grupo Inovação, reached 54 stores32. The same group launched the Feira Nova banner in Braga in 1989, with hypermarkets and supermarkets. In 1993, Jerónimo Martins bought the first four Feira Nova stores from Grupo Inovação and, around that time, the Inô supermarkets33, 32. Between 2008 and 2010, Feira Nova disappeared and the stores became Pingo Doce33.

Jerónimo Martins itself had returned to retail in 1978: Pingo Doce began operating in 1980, with Belgium's Delhaize as partner from 1985 and the Netherlands' Ahold from 199228. In 1989 it bought 15 supermarkets from Pão de Açúcar28. There were also regional chains, such as Expresso, from the Entreposto group32.

Concentration began like this: not with new stores, but with chains buying chains. Even so, it was a world of grocers. In 1991, out of 38,910 food outlets, only 443 were supermarkets or hypermarkets: 1.14%32.

Finally, the hypermarkets

The change, when it came, was very fast. The country's first hypermarket opened in Cascais in 1973, under the Pão de Açúcar banner, and is now an Auchan. But the wave began in 1985, with Continente in Matosinhos34. Then came Makro in 1990, Intermarché in 1991, Lidl in 1995, Aldi in 2006 and Mercadona in 201929. The hypermarkets of 1985 to 1989 were built on the outskirts of cities, next to the roads; from 1991 they started coming with shopping centres35.

The Nielsen figures show the speed25. In 1984, small grocers were 75% of food stores and made 32.5% of sales. Ten years later, they made 13.2%. In 1987, hypermarkets had 5.4% of sales. In 1994 they had 40.4%, with less than 0.1% of stores. In less than a decade, a few dozen stores came to sell almost half of what was sold in the country.

When three chains hold 62% of the market2, a consumer goods manufacturer left out of one of them loses about a fifth of its potential consumers in one go. The reverse is not true: a chain that stops stocking a brand loses only some of the customers in that category, and many settle for the alternative on the shelf.

This asymmetry is at the heart of the book Store Wars, by Judith and Marcel Corstjens, from 19957. In the 2012 edition, continued by other authors, the idea is put this way: the mind and the shelf used to be fought over between manufacturers, and the battle became one between retailers and manufacturers, who have to see retail as a separate and dominant force36. The manufacturer fights for space in the consumer's mind, the store fights for space on the shelf. For decades, the first front decided the second. With concentration, the second came to decide the first.

The first weapon: price

The abolition of manufacturer-imposed prices, in the United Kingdom in 1964, gave chains the right to sell brands at whatever price they wanted10. From then on, the manufacturer's brand was used by the store to attract customers, often below the normal margin. The manufacturer lost control of the price at which the consumer saw its product.

The second weapon: time

Whoever pays at 30 or 60 days and gets paid by the customer in cash is financed with the supplier's money. In its 2024 results, Jerónimo Martins reported negative working capital of €4,062m. The suppliers line alone was equivalent to 52 days of sales3. In practice, the chain gets paid by customers long before it pays suppliers, and that difference finances stores, stock and expansion.

It is legal and it is the business model of food retail all over the world. But it shows who has the power. In 2012, with the Confederation of Portuguese Farmers (Confederação dos Agricultores de Portugal), Pingo Doce cut the payment term for 402 national fresh produce suppliers, from an average of 60 days to as little as 10 days, for 12 months37. The conditions were also the chain's: at least five years of relationship, 95% of orders fulfilled and Pingo Doce accounting for at least half of the supplier's business. It was presented as help for small producers, and it was. But the one deciding the term, and for whom, was the chain.

The legislator eventually stepped in. Since 2010, large companies have had to pay micro and small food suppliers within 30 days for perishables and 60 for everything else38. Decree-Law 76/2021, which transposes the European directive against unfair trading practices in the food supply chain, sets maximum terms of 30 days for perishable products and 60 days for the rest, with fines that can reach €2.5 million39, 40.

The third weapon: access to the shelf

To be on the shelf, the manufacturer pays. It pays listing fees for new products, contributions to leaflets, top positions, store anniversaries, year-end rebates. The US Federal Trade Commission studied listing fees in 2003 and concluded that they were common in several consumer goods categories, with amounts that varied greatly by product and by region41.

What the shelf costs

In Portugal there are no public rate cards. The amounts sit in the annual agreements between each supplier and each chain, and the most detailed picture is still the Competition Authority's 2010 report on trade relations between food retail and suppliers42. The total discounts asked of suppliers reached 35–45% for rice in one large retail group, 45–55% for pasta, flour and cereals in another, and between 35–45% and 65–75% for coffee, drinks and dairy in a third. Gondola ends, gondolas and islands were charged through monthly debit notes, and there were discounts backdated to January. A study by Católica Porto describes the parts of a Portuguese supply agreement: rebates, financial discounts, listing costs, campaigns and penalties43.

In the United Kingdom there are rate cards, and The Grocer published those of three chains44:

What is boughtAsdaCo-opWaitrose
Branded gondola end, per store and per promotional period£200£201£215
Shelf signage, per store and per period£46–81£17£61
One post on the chain's Instagram or Facebook£16,500£10,000£20,000

One supplier was asked for £50,000 for a branded display. The rule of thumb in the sector, according to the same source, is not to spend more than 10% to 15% of the sales you expect to make with a chain. Asda also started charging suppliers for access to customer sales data: tens of thousands of pounds per category45. In the United States, the FTC found in 2003 listing fees between $2,313 and $21,768 per product, per chain and per metropolitan area, higher for frozen and chilled goods41.

There is a second, less visible form of access to the shelf: the category captain. In many chains, the leading manufacturer proposes what goes into the category, where it sits and what promotions it runs. An investigation by a US consumer association found in 2016 that Nestlé was category manager for frozen desserts in 22 of the 25 largest supermarkets, and the American Antitrust Institute warned in 2018 that the model can block the entry of rivals46. It is an alliance between the big player on each side, and the one left out is the small manufacturer who could bring something new to the consumer.

Those who pay rarely complain. According to the European Commission's 2013 Green Paper on unfair trading practices, 87% of suppliers do no more than talk to the customer when they suffer these practices, and almost two thirds of them say it is out of fear of retaliation47.

The fourth weapon: join forces even further

When the chains in each country are already concentrated, they join across countries. International buying alliances negotiate on behalf of several chains from several countries at once. The European Commission's Joint Research Centre devoted a report to them in 2020, which describes how they work and concludes that the effects on suppliers are ambiguous48. It is the same logic as always: whoever aggregates more demand negotiates better.

But the store does not rule alone either

Three pieces of data show the limits of this power.

The first already appeared in chapter 1. Messinger and Narasimhan found no transfer of profitability from manufacturer to store11. The store gained bargaining power, but much of it was passed on to the consumer in price.

The second comes from the European Commission. A 2014 study on the impact of modern retail on choice and innovation found no evidence that concentration had reduced the choice available to consumers between 2004 and 2012; at local level, choice even increased49.

The third is in the Competition Authority's cases, and has its own section at the end: there were cases in which chains and suppliers lined up, not against each other, but against the consumer.

In ten years, hypermarkets came to sell almost half

In ten years, hypermarkets came to sell almost halfShare of food sales in Portugal: small grocers 32.5% in 1984 and 13.2% in 1994; hypermarkets 5.4% in 1987, 24% in 1991 and 40.4% in 1994.0%12.5%25%37.5%50%Small grocers198432.5%Small grocers199413.2%Hypermarkets19875.4%Hypermarkets199124%Hypermarkets199440.4%
OfficialShare of food sales by format, Nielsen data quoted by the Portuguese Ministry of the Economy, source 25. In 1994 hypermarkets were less than 0.1% of stores.

Four chains, almost 70% of grocery

Four chains, almost 70% of groceryGrocery market shares in Portugal in 2025: Continente 27.5%, Pingo Doce 21.7%, Lidl 12.9%, Mercadona 7.2%.0%7.5%15%22.5%30%Continente27.5%Pingo Doce21.7%Lidl12.9%Mercadona7.2%
AnalystGrocery shares in Portugal, 2025, Worldpanel, source 2. In Spain, Mercadona alone has 29.5%, source 24.

What to do

  • Manufacturerbefore going to the buying office, know how much each chain weighs in your sales and how much your brand weighs in its category. That sum decides the negotiation.
  • Retailerthe payment term is a source of financing, but the law already limits it. The future advantage comes from elsewhere (chapter 7).
  • Consumerconcentration has not clearly reduced choice, but it has concentrated the decision about what reaches the shelf in a few people.
Read with careThe Pingo Doce case comes from the press of the time (Marketeer). The Nielsen figures for 1984–1994 are cited in a 1997 Ministry of Economy document. Negative working capital is normal in food retail and is not, in itself, a sign of abuse. The FTC study is from the United States.
4

Chapter 4 · Private label

Private label is the consumer saying "enough".

With private label, the store stopped being just the place where the manufacturer's brand is sold. It started competing with it on the same shelf. It grew because the consumer accepted it, and it is stalling because the consumer has started putting limits on it.

47%

Sales of Portugal's large supermarkets that are private label; it was 31.7% in 2011

INE, Official1
50%

Consumer goods purchases in Spain that are private label; in Europe, the average is 38.1%

NIQ 2025, Analyst24; PLMA 2025, Analyst50
84%

Portuguese shoppers who use both manufacturer brands and private labels; almost nobody is loyal to just one type

Centromarca and Kantar 2025, Survey51

How the store became a manufacturer

Private label began as the cheap version: plain packaging, low price, acceptable quality. Today, chains have several own ranges, from basic to premium, and some have private labels the consumer already recognises by name.

In Portugal, the share of private label in the sales of large supermarkets went from 31.7% in 2011 to 47% in 2024, the highest value in the INE series1. At Continente, private label already accounts for 33% of sales, against just over 20% at the start of 202252. In Spain, it has reached half of consumer goods purchases, driven by Mercadona24.

Private label is the proof that the store started gathering demand. The consumer trusts the banner and agrees to buy a product with its name, often without knowing who makes it. The store took what used to be the manufacturer's exclusive asset: trust.

Why the store wants private label

Private label gives the chain a higher percentage margin, but not necessarily more money per product. Because the price is lower, the absolute margin can be smaller than that of a manufacturer brand. It is one of the questions that comes up most in the comments on the reels, and the answer depends on the category.

Kusum Ailawadi, Koen Pauwels and Jan-Benedict Steenkamp studied the relationship between private label use and store loyalty53. They found an inverted U curve. Customers who buy private label in moderation are the most loyal to the store. Those who buy almost only private label are less loyal, because they are mainly price-sensitive and switch to whoever is cheaper.

This has an important consequence. Beyond a certain point, more private label stops holding on to the customer and starts letting them go. The store needs manufacturer brands to have reasons for a visit that the competitor does not have.

The consumer applying the brakes

The 2025 Centromarca and Kantar study shows that private label has slowed down in Portugal and that, in more than half of the categories where it is gaining share, it has reached a breaking point, beyond which it stops growing51. The same study shows that 84% of shoppers use both types of brand. The consumer does not choose between the store and the manufacturer. They use both, depending on the category.

In Spain there is an episode that readers of the reels' comments know well. In December 2008, Mercadona removed almost 800 manufacturer brand lines from its stores, among them products from Nestlé, Calvo and Pascual, to make room for its private label54. A case study from Universitat Pompeu Fabra records that the change lost it some customers55, and a 2015 academic article writes that many of those brands later returned to the shelves, to protect the chain's image54. We did not find how many.

Laurens Sloot and Peter Verhoef studied what happens when a store removes a brand56. The reaction depends on the brand. When a strong brand with no close substitute goes, some customers change store to keep buying it. When a weak brand goes, almost everyone accepts the alternative. It is the consumer's veto at work: the store can remove whatever it wants, but the consumer decides whether to stay.

How much private label weighs

How much private label weighsPrivate label share: large supermarkets in Portugal 31.7% in 2011 and 47% in 2024; European average 38.1%; Spain 50%.0%15%30%45%60%Portugal201131.7%Portugal202447%Europe202538.1%Spain202550%
Official and analystsPortugal: large stores, INE, source 1. Europe: PLMA, source 50. Spain: grocery, NIQ, source 24. Scopes differ; the chart shows orders of magnitude.

What to do

  • Manufacturerin store categories, making private label may be better than losing the space. In brand categories, the answer is innovation the store cannot copy quickly.
  • Retailerprivate label has a ceiling, and the one who sets it is the customer. Above it, the store loses visits.
  • Consumerprivate label is often made by the same manufacturers. The useful question is not "brand or no brand", it is "what am I paying extra for and why".
Read with careThe INE series measures large stores, not all retail. The INE, NIQ and Worldpanel figures are not directly comparable, because they use different scopes. In the Mercadona episode, the removal is well documented; the return of the brands appears in an academic article with no source cited and its scale is unknown. The Ailawadi and colleagues study is from the Netherlands.
5

Chapter 5 · The shelf

The shelf grabs attention, but does not decide.

The store controls what the consumer sees: where each product sits, at what height, with how many facings, next to what. It is real power. But the research shows that it buys attention more than choice. What the consumer already does weighs more than what the store shows them.

60% → 76%

Shoppers who notice a brand when facings go from 4 to 8; choice of that brand only rises from 7.7% to 8.8%

Chandon et al. 2009, eye tracking, Academic57
49% vs 1%

Probability of choosing a brand for those who already buy it and for those who have never bought it; no shelf position comes close to this difference

Chandon et al. 2009, Academic57
3%

Shoppers who switch, inside the store, the brand they had in mind when they came in; but 59% of purchases were unplanned

Inman, Ferraro and Winer 2004, about 34,000 purchases, Academic58

What the store controls

A chain's buyer decides the range, each brand's space, shelf height, gondola ends, islands and promotions. That is why the manufacturer pays for the central aisle, gondola ends and aisle ends, one of the topics that comes up most in the comments on the reels.

Xavier Drèze, Stephen Hoch and Mary Purk ran real experiments in 60 stores of a US chain, across eight categories59. Moving a brand from the worst to the best vertical position raised that brand's sales by 39% on average. Moving it horizontally had a much smaller effect. Adding facings returned less and less. In the authors' words, a couple of facings at eye level did more than five facings on the bottom shelf.

It is proof that the shelf moves sales. If you are a manufacturer, you have known this for a long time.

What the store does not control

Pierre Chandon, Wesley Hutchinson, Eric Bradlow and Scott Young had shoppers choose from shelves while a device recorded where they were looking57. They brought together 348 shoppers and more than 8,000 observations.

Space changes attention. Going from four to eight facings makes many more people notice the brand: from 60% to 76%. But choice barely moves: from 7.7% to 8.8%. A central position helps little too: 9.0% against 7.7%.

What decides choice is habit. Those who already buy the brand choose it 49% of the time. Those who have never bought it choose it 1% of the time. The shelf can get the consumer to see. It cannot get the consumer to change.

The difference between planning the category and planning the brand

The most quoted figure in the sector is that "76% of decisions are made in store". It comes from a 2012 study by POPAI, the international point-of-purchase advertising association, which has a direct interest in the result and did not publish its method60. We come back to it in the section on numbers without a source.

The reference study is older and better documented. Jeffrey Inman, Rosellina Ferraro and Russell Winer analysed about 34,000 purchases by 4,200 shoppers in 14 US cities, comparing what they said they wanted to buy on the way in with the receipt on the way out58. 59% of purchases were unplanned. As early as 1967, Kollat and Willett had found 50%58.

But the same study shows another figure, far less quoted. Only about 3% of shoppers switched, inside the store, the brand they had decided to buy. The store decides much of what goes into the trolley that the consumer had not thought of buying. It decides very little when the consumer already knows what they want.

And the nudges?

Over the last fifteen years the idea has spread that small changes in how options are presented, so-called nudges, change behaviour cheaply and effectively. It would be confirmation that the store manipulates the consumer.

A 2022 meta-analysis by Stephanie Mertens and colleagues, with 455 effects from more than 200 studies, found a moderate average effect, larger for food choices61. The same year, Maximilian Maier and colleagues reanalysed the same data correcting for publication bias, that is, the fact that studies with no effect stay in the drawer62. The average effect fell to close to zero. Nudges that change the structure of the choice, such as position or the default option, seem to have some effect. Those that only give information, none.

The same caution applies to consumer neuroscience. Martin Lindstrom, in Buyology, presented a study with more than 2,000 volunteers in brain scanners to show that brands act below consciousness63. The study was never published with peer review. In 2011, when Lindstrom wrote in the New York Times that people literally "love" the iPhone, 46 neuroscientists signed a letter disputing the interpretation64. It is a useful source for raising hypotheses, not for treating them as proven.

What to do

  • Manufacturerpay for the shelf when you want to be seen by those who do not know you yet, especially at a launch. For existing customers, the money works harder by never being out of stock (chapter 6).
  • Retailerposition moves the brand's sales, but barely moves the choice of those who have already decided. The shelf is more useful for selling what the customer did not plan than for changing what they did plan.
  • Consumerwhat sits at eye level is not necessarily the best. It is what someone wanted you to see first.
Read with careThe Drèze and Chandon experiments are from the United States and with well-known brands. At a launch, the shelf may weigh more, because there is no habit yet. The Inman and colleagues study uses data from 1995. We found no equivalent Portuguese studies.
6

Chapter 6 · The veto

The consumer punishes without coordinating.

The consumer negotiates with no one. There is no buying office, no annual meeting, no contract. But when something fails, millions of people react, each on their own, and the sum of those reactions moves the sales of whoever failed. It is a veto that nobody organises.

31%

Shoppers who go to another store when the product is missing; 26% switch brand, 19% take the same brand in another format, 15% delay and 9% do not buy

Gruen, Corsten and Bharadwaj 2002, 71,000 consumers in 29 countries, Survey4
79 days

How long New Coke lasted; Coca-Cola went back to the original formula after receiving up to 1,500 calls a day

The Coca-Cola Company, Vendor65
−34% to −37%

Fall in Bud Light volume among its regular buyers after the 2023 boycott; most moved to other beers

Janssen 2026, household panel, Academic66

The stock-out punishes the store more than the brand

Thomas Gruen, Daniel Corsten and Sundar Bharadwaj brought together 52 earlier studies, 661 stores, 32 categories and 71,000 consumers in 29 countries4. On average, 8.3% of products were missing from the shelf. In north-western Europe, just over 7%. In the south, close to 11%.

Faced with a stock-out, 31% go to another store. Only 26% switch brand in the same store. The store loses about 4% of sales to stock-outs, and 70 to 75% of the causes are in the store itself: poor orders, wrong forecasts, late replenishment.

A 2003 study by ECR Europe with Roland Berger followed what happens when the stock-out repeats67. At the first gap, most people accept a substitute. By the third, 69% do not buy and change store.

The stock-out is the purest case of veto. No one complains, no one coordinates anything. Each person solves their own problem, and the sum of those solutions moves to the store next door. The comments on the reels about stock-outs lasting 5 to 9 days are the Portuguese version of this study.

Online reviews: the trace you can see

Judith Chevalier and Dina Mayzlin compared reviews and sales of the same books on Amazon and Barnes & Noble68. When a book's reviews improved on one site, it sold more on that site than on the other. A one-star review weighed more than a five-star one.

Michael Luca ran the same study with Seattle restaurants on Yelp69. One extra star raised revenue by 5% to 9%, but only in independent restaurants. In chains, the effect was zero. Where the brand is strong, the consumer trusts the brand. Where there is no brand, they trust the traces left by other consumers.

Ya You, Gautham Vadakkepatt and Amit Joshi brought together 51 studies on online word of mouth70. The effect is real and larger for products that are expensive, hard to try and consumed in private. It is smaller for products that are cheap, easy to try and have many substitutes. In other words, it is smaller in grocery.

In Portugal, a Portal da Queixa survey with about 5,000 responses says 72% of consumers name the opinion of other consumers as the main purchase factor71. It is an online, opt-in survey, so the number counts as a signal, not a measurement. Marktest found 47.5% of consumers research online before buying in a physical store72.

Boycotts: lots of noise, little effect, with exceptions

In 2003, after France opposed the Iraq war, sales of French wine in the United States fell 13% for about six months, with no organisation leading the boycott73. It is pure stigmergy: each person reacted to what they saw around them.

But most boycotts fail. Jill Klein, Craig Smith and Andrew John studied a real boycott and concluded that only a minority took part, even among those who thought the company was to blame74. Boycotting has a cost: you have to give up a product you like. When Goya was boycotted in the United States in 2020, social media filled up with calls to act, but sales rose 22%, driven by people who wanted to support the brand, and after three weeks everything was back to normal75.

The exception is Bud Light. After the 2023 boycott, volume among regular buyers fell by 34% to 37%, and most moved to other beers66. In June 2023, Modelo became the best-selling beer in the United States76. When there is a close substitute and switching costs nothing, the veto works.

The day the consumer ran the manufacturer

In 1985, Coca-Cola changed its formula after taste tests with about 200,000 consumers, in which the new formula won65. Complaint calls went from about 400 to 1,500 a day. After 79 days, the company went back to the original formula. In the next two days it received 31,600 calls.

The tests measured taste. They did not measure what the brand meant to the people who drank it. It is the clearest example of a consumer who could not say what they wanted beforehand, but knew very well how to say what they would not accept afterwards.

What changes with social media

Philip Kotler, Hermawan Kartajaya and Iwan Setiawan describe, in Marketing 4.0, a shift of power along three axes: from exclusive to inclusive, from vertical to horizontal, from individual to social77. The idea is that consumers now listen to each other more than to brands. The research in this chapter partly confirms it. The consumer listens to other consumers when the brand is weak and the product is hard to judge. In grocery, where the product is cheap and quick to try, they mostly listen to themselves.

What to do

  • Manufacturera stock-out costs you one in four shoppers, who move to the competition. Service level is marketing.
  • Retailera stock-out costs you more than it costs the manufacturer: one in three customers goes to the store next door. And most of the causes are in-house.
  • Consumerevery time you change store because a product is missing, you are voting. No one counts your vote alone, but everyone counts the total.
Read with careThe studies on reviews and boycotts are almost all from the United States. We found no Portuguese studies on stock-outs. The New Coke story is told by Coca-Cola itself, which has an interest in telling it well.
7

Chapter 7 · The new war

Whoever keeps the traces, rules.

Every purchase leaves a trace: what was bought, when, where, at what price, with what else. Added up, the traces of millions of people are the most accurate way to know what the consumer wants, without asking. The loyalty card turned those traces into an asset of the store. The war between manufacturer and retailer became a war over who reads the consumer.

48.1%

Grocery purchases in Portugal already made with a loyalty card; it was 42.8% in 2022

Worldpanel 2026, via Marketeer, Survey78
53 vs 37

Shopping trips per year for card users and non-users; card users spend €28.15 per trip, against €20.31

Worldpanel 2026, Survey78
3 months

What Tesco needed to learn more about its business than in 30 years, according to the chain's chairman, after the Clubcard test in 1994

Marketing Week, Press79

The sentence that changed retail

In 1994, Tesco tested a loyalty card in three stores and then in fourteen, with the data analytics firm dunnhumby. When the results were presented to the board, the chairman, Ian MacLaurin, said: "you know more about my business in three months than I have learned in 30 years"79. Clubcard was launched in February 1995. In 1996, Tesco overtook Sainsbury's and became the largest chain in the United Kingdom. In 2010 it bought the rest of dunnhumby.

The quote often circulates as "you know more about my customers". The verified version says "my business". The difference matters: the card was not only used to get to know customers, it was used to decide range, prices, promotions and store locations.

The traces in Portugal

Cartão Continente was launched in 2007 and serves about 4 million households80. The app had 2.3 million users in 202281. Lidl Plus grew close to 70% in Portugal in two years and has more than 70 million users in Europe82. In 2026, almost half of grocery purchases in the country already go through a loyalty card, and each shopper holds, on average, three cards from different chains78.

The consumer gives up their traces in exchange for discounts. The chain gathers them, reads them and makes decisions with them. It is the stigmergy of the triangle with one essential difference: with termites, the traces are visible to all. In the supermarket, they are kept by whoever owns the card.

The manufacturer no longer reads its own consumer

The grocery manufacturer sells to the store, not to the consumer. It knows how much it sold to the buying office. What happened next, who bought, how often, what they bought alongside it, is known by the chain. To find out, the manufacturer buys panel studies or pays the chain for access to its data.

It is the complete reversal of the manufacturer era. In the 1960s, it was the manufacturer who knew the consumer, through advertising and market research, and the store was a point of passage. Today it is the store that knows the consumer purchase by purchase, and the manufacturer that needs the store to see them.

But the consumer still holds the veto

The traces say what the consumer did. They do not say what they will do when an alternative appears. Private label is reaching its limit (chapter 4), stock-outs keep sending customers to the store next door (chapter 6) and strong brands keep bringing people into the store (chapter 2).

This is where the thesis of this analysis comes together. The consumer aggregates without knowing it, through shared needs and the traces they leave with each purchase. Whoever reads that aggregation best, rules. First it was the manufacturer, with the brand. Then the retailer, with the store. Today both fight over the reading, and the retailer is ahead, because it keeps the traces. But neither of them rules the consumer. The consumer holds the veto. Not the command.

A note on words

George Lakoff, a linguist, showed how the frames we use, the metaphors we think with, decide what we are able to see83. When we say that "argument is war", we start to see attacks and defences. Lakoff wrote about politics, not brands, and applying his idea here is our own extrapolation. But it is useful. As long as manufacturer and retailer think of the relationship as a war between the two of them, they will keep seeing only the opponent in front of them. This analysis proposes another frame: a triangle in which the third side, the consumer, decides who wins.

What to do

  • Manufacturerif you have no access to the chains' data, you are negotiating blind. Combine consumer panels, sell-out data and direct contact with the consumer, and bring them to the table.
  • Retailerdata gives you an edge as long as the customer keeps coming back. Using it only to charge the supplier more wastes the best reading of the consumer that has ever existed.
  • Consumerthe loyalty card is a trade: discounts for your data. It is worth knowing what you are giving.
Read with careMacLaurin's quote comes from the press, in several versions. We did not find the share of Cartão Continente in sales nor the number of Poupa Mais members. Stigmergy applied to consumption is our own proposal, not a research finding.
8

Chapter 8 · The order

Whoever makes it sell, makes it reorder.

For decades, an order was the end of a conversation. The sales rep sat in front of the buyer, made the case, negotiated and left with an order form. Then the product sold through or not, and the rotation said who was right. Today, in most stores, the order is the end of a sale. Every pack that goes through the checkout tells the system what to replenish. The consumer negotiates with no one, but every purchase they make is an order.

87% → 98%

On-shelf availability of Listerine in the first joint planning pilot between a chain and a manufacturer, in 1996; stock fell about 20%

Supermarket News 1997, Press84
65%

Inaccurate stock records in 37 stores of a US chain: the system thinks there is stock when there is none, or the reverse

DeHoratius and Raman 2008, Academic85
+21%

Units sold when the planogram is followed, in a 105-week study across 90 stores; +7% gross margin

The Partnering Group for FDI, via Supermarket News 2000, Survey86

Before: the pushed order

In the old model, the manufacturer sold to the store and the store sold to the consumer, and the two sales barely talked to each other. A manufacturer's sales rep was measured by what they could get into the store, the sell-in. What happened afterwards, the sell-out, was known late and poorly: through leftover stock, the next order that did not come, the returns.

In this model, the art of selling was convincing the buyer. Whoever negotiated best filled the store's warehouse, and the problem of selling through moved to the other side of the table.

The turning point: the barcode and sales data

The first barcode scan at a supermarket checkout happened on 26 June 1974, in Ohio: a pack of chewing gum87. By the end of 1984, more than 10,000 US supermarkets had scanners. Emek Basker measured the effect: store productivity rose and labour costs fell, and the author allows for the possibility that scanners contributed to the power of the chains88. It was the chains that imposed the code on suppliers: Kmart in 1983, Walmart in 198789. In Portugal, the barcode arrived in 1985, with 137 founding companies of what is today GS1 Portugal90.

The barcode gave the store something the manufacturer had never had: the sale, product by product, store by store, day by day. It was the first big trace of the consumer, and it stayed on the store's side.

The pulled order

The next step was to use that trace to order. In 1988, Procter & Gamble proposed replenishing stock based on sales, first to a regional chain and then to Walmart. According to the account at the time, Sam Walton replied that if it helped him sell more soap, yes91. Walmart opened its sales data system to suppliers in the early 1990s92.

In 1993, the Kurt Salmon report that launched ECR (Efficient Consumer Response) estimated possible savings of 30 billion dollars in US grocery if manufacturers and chains worked from real demand93. In 1996, Walmart and Warner-Lambert tested joint order planning for Listerine for five months: on-shelf availability rose from 87% to 98% and stock fell about 20%84.

Theory explains why. Hau Lee, V. Padmanabhan and Seungjin Whang described the bullwhip effect in 1997: small variations in consumer demand turn into large swings in orders as they move up the chain94. The cure they proposed was to share consumer sales data with the manufacturer and replenish continuously. In other words, let the purchase drive the order.

Today: every sale triggers the next order

In Portugal, a University of Minho thesis on Sonae's logistics spells out the mechanism: replenishment is automatic and orders "are generated automatically after a given number of sales", with minimums and maximums set centrally95. In May 2026, MC chose Blue Yonder for allocation and replenishment in more than 400 stores, with AI demand forecasting "based on actual sales" and "less manual intervention"96. Minipreço moved to RELEX in 550 stores in 202197. Mercadona uses its own system that adjusts fresh produce orders daily based on sales history98. Pingo Doce shares with suppliers, in real time, each store's sales, range and shelf data99.

The names change, the logic is the same. The order is no longer decided by the conversation between sales rep and buyer. It is decided by the product's rotation on the shelf, read by a machine.

The consequence: trade marketing starts to decide

If the order comes from the sale, the place where the order is won is the store. Everything that makes the product leave the shelf, being available, visible, in the right place, at the right price and with the right facings, feeds the algorithm and decides the next orders. Whoever sells more today buys the place in tomorrow's orders.

Trade marketing was born in Europe in the 1980s precisely as a response to the power of the chains and the lack of shelf space, with the aim of increasing rotation at the point of sale100. Automated ordering gave it an importance it did not have before.

The numbers confirm that in-store execution counts. In a 105-week study across 90 stores, keeping the planogram intact delivered 21% more units, 12% more sales and 7% more gross margin86. A new product took between 3.6 and 7.2 weeks to be properly distributed. One ketchup that reached the shelf in four weeks sold 118% more; another that took seven weeks, 57% more. In a world of automated orders, the weeks lost at launch are weeks in which the algorithm learns that the product sells little.

The role of the sales rep changed with this. In 1994, Ralston Purina cut 125 field sales jobs and moved to key account teams, while adopting continuous replenishment101. Bain wrote in 2019 that manufacturers' key account managers still often work in spreadsheets, without basic consumer sales data, while the best chains come to the negotiation with data product by product and shelf by shelf102.

The algorithm's blind spot: phantom stock

The algorithm only knows what the system tells it. Nicole DeHoratius and Ananth Raman analysed about 370,000 stock records in 37 stores and found 65% were wrong85. A 2025 study in a British supermarket, with 24,000 products in 11 stores, found errors in 64.7% of products; in 39.4%, the system had more stock recorded than actually existed103. That is the worst case: the system thinks there is product, does not order, and the shelf stays empty. A full store count raised sales by about 11% in two months, and the effect on perishables was three times larger.

There is a second blind spot. When the shelf is empty, the sale that did not happen is not recorded. The algorithm learns that the product sells less than it does, and orders even less104. The stock-out feeds itself.

That is why physical work in the store has become power again. The shelf stacker, the merchandiser and the promoter are not just tidying shelves. They are making sure the trace the consumer leaves reaches the machine that decides the next order intact.

The limits

The algorithm does not decide everything, and there are three limits to bear in mind.

People still intervene. Karel van Donselaar and colleagues showed, with 19,417 product-store combinations in Dutch supermarkets, that store managers systematically change the proposed orders, for reasons the system does not see, such as the cost of shelving105. It does not always go well: in a recent study at a European chain, managers cut about 22% of the system's proposals, and those cuts after a stock-out caused a third of the avoidable stock-outs106.

Space and promotions deliver less than they seem. A meta-analysis of 1,268 estimates found an average shelf space elasticity of 0.17: 10% more space gives about 1.7% more sales107. According to Nielsen, about three in four grocery promotions in the United States do not pay for themselves108, and promotions are what most mislead forecasts109.

The algorithm only replenishes what the buyer decided to stock. Negotiation still decides what goes into the range and what comes out in range reviews. Mercadona contracts product by product, and can remove a manufacturer from part of a category110. Chains also sell access to their own data, like Asda (chapter 3). The algorithm works within a list that is still negotiated.

And when it fails, it fails big. Target closed 133 stores in Canada between 2013 and 2015, with empty shelves and full warehouses, after it began ordering automatically with badly loaded data111. In March 2020, toilet paper sales in the United States rose 845% in two days, and no system was ready for it112.

What this changes in the thesis

The consumer still does not command, but their purchase has gained a direct consequence it did not have: every sale is a replenishment order. It is the stigmergy of the triangle in its most literal sense. Every purchase leaves a trace, and the trace decides the next step of the whole chain, without anyone giving orders.

Whoever gets the product off the shelf no longer convinces only the buyer. They convince the algorithm. But the algorithm only sees what the store shows it, and only replenishes what the negotiation let in.

What to do

  • Manufacturerin-store work is marketing and it is sales force. Measure real availability, planogram compliance and how fast a launch reaches the shelf, not just sell-in.
  • Retaileran algorithm fed with wrong stock replenishes wrongly. Counting and correcting records can be worth more sales than a promotion.
  • Consumerevery time you buy, you are placing an order. The product you cannot find today may stop being ordered tomorrow.
Read with careThe studies on phantom stock and automated ordering are from the United States, the United Kingdom and the Netherlands. The information on the systems of Portuguese and Spanish chains comes from software vendors' press releases and the press, and does not say what results they had. We found no Portuguese data on stock-outs or stock accuracy.
9

Chapter 9 · The digital aisle

Whoever delivers, reads.

Digital looked like the end of the store's power. The consumer would buy from home, compare in one click, and the brand would reach them with no intermediary. In Portugal, almost the opposite happened. Online weighs little, but it gave the store a new way to sell what it already had: access to the consumer. And it opened the door to a fourth player, whoever delivers.

2.5%

Share of grocery bought online in Portugal in 2022, after a peak of 3.4% in 2021; in 2025, the online channel fell again, by 13.9%

Kantar for Centromarca, via ESM113; McKinsey and EuroCommerce, via Dinheiro Vivo114
€13.7 billion

Retail media spend in Europe in 2024, up 21.1% in one year, about a fifth of digital advertising

IAB Europe 2025, Analyst115
+$4 vs −$13

A chain's result per 100 dollars of basket: in the physical store, and online with in-store picking and home delivery

McKinsey 2022, Analyst116

The store started selling access to the consumer

On 26 June 2024, Sonae's MC presented Endless Retail Media Solutions, "powered by Cartão Continente", to advertisers and agencies117. Retail media is advertising sold by the chain itself, on its own channels, targeted using its customers' data. Endless combines three kinds of data: who the customer is (age, gender, location, segment, preferred store), what they buy (products, quantities, prices, promotions used) and what they look for online (searches, clicks, what they put in the basket). At launch, it announced more than 4.3 million monthly visits to Continente Online, more than 1.5 million active app users and more than 4.5 million store visitors.

What Endless sells the manufacturer is not space. It is the chance to reach a chosen consumer: someone who stopped buying the brand, someone who buys the competitor, someone who never tried it. It is chapter 7 taken all the way. The store keeps the traces and sells the manufacturer access to them.

It is not a one-off. Jerónimo Martins opened a retail media unit at Pingo Doce and Biedronka. At Pingo Doce it works with more than 40 suppliers and expected more than 200 targeted coupon campaigns by the end of 2024; it says the Portuguese market is "at an early stage"118. Auchan presents about 2 million weekly store visits as an audience that "compares well with television"119. In Spain, Schwarz Media, from the group that owns Lidl, sells advertising on the Lidl Plus app, the online store and in stores120.

Abroad, the scale is different. Amazon made more than 68 billion dollars in advertising in 2025121. Walmart, about 6.4 billion, up 46% in one year122. According to WPP Media, commerce-linked advertising overtook television worldwide for the first time in 2025123.

Why the chains want this

Because it is the highest-margin business they have ever had. McKinsey estimates cited in the Harvard Business Review put retail media margins at 50% to 70%124. Food retail runs on margins of a few per cent: Ocado's supermarket business, for example, had an EBITDA margin of 3.8% in 2025125.

When one line of business gives 15 times more margin than the core activity, it changes the priorities of those who decide. The buyer who negotiated prices and terms now has a colleague alongside who sells campaigns to the same supplier.

Who pays, and how freely

In the United States, executives from four agencies told Digiday that chains put retail media investment commitments into the annual business plans with brands, and hint that there are shelf space consequences for those who do not invest126. "It is never written down." "It feels like paying twice." A survey in Australia found 54% of brands feeling pressure to increase spend, 73% struggling to measure return and more than half investing to protect shelf space127.

The measurement problem runs deep. Whoever sells the campaign is also whoever measures the result, with data only they have. In an IAB Europe survey of 180 advertising buyers, 85% name the chain's data as the big opportunity and 53% the lack of common standards as the biggest obstacle128.

Academic research is just starting. Koen Pauwels and Ladipo Fagbola concluded, in 2025, that retail media gives chains a strategic advantage, but creates a conflict between being an advertising platform for suppliers and competing with them on the shelf129. A Toulouse School of Economics model shows that competition between manufacturers for ads can erode their profits, and push some towards selling direct130.

Some see it differently. Pingo Doce says retail media and trade marketing are "complementary, not substitutes"119. And there is no public figure for Portugal on the money already flowing through here.

Online weighs little in Portugal

Retail media is growing, but Portuguese online grocery is not. According to Kantar, online was worth about 2.1% of grocery in 2019, rose to 3.4% in 2021, with the pandemic, and went back to 2.5% in 2022113. In 2025, the channel fell 13.9%, while in Europe it grew 6.8%114.

Continente Online has existed since 2001 and claims more than 300,000 active customers131. Pingo Doce opened the country's first online supermarket in 1998 and closed it in 2003. Between 2018 and 2025 it sold online through Mercadão, which Glovo bought in 2021. In May 2025 it once again had its own online store132.

Spain is further ahead. According to NIQ, online reached 7.3% of the basket in 2025 and grew 17.7%. But the leader is not a supermarket chain: Amazon has 36.6% of grocery sold online, Mercadona 9.8% and Glovo 4.8%133. Mercadona sold €1,061m online in 2025, 2.5% of its sales134. For comparison: in the United Kingdom online is worth about 13% of grocery shopping, in France 11.9% and in the United States 19%135.

Endless itself admits it, in a 2026 sponsored article: more than 90% of purchase decisions happen in physical stores136. The most valuable digital trace in Portugal does not come from the website. It comes from the card swiped at the checkout.

Is the online consumer different?

Research says yes, in ways that help and hurt both sides. Junhong Chu, Pradeep Chintagunta and Javier Cebollada studied the same households buying online and in-store at a Spanish chain137. Online, they were less price-sensitive in all 12 categories studied. Alexandru Degeratu and colleagues had already found, in 2000, that brand weighs more online, especially when the site shows little product information138.

But Andrea Pozzi showed that trying new brands happens mostly in the physical store139. Online, the consumer repeats the list. That protects the brands already there and closes the door on new ones. And Arce-Urriza and Cebollada, with data from 30 categories at a Spanish chain, found more online loyalty to all brands, but only one gaining new customers: private label140.

Online favours whoever is already settled in the basket: the leading brand and the store brand. The loser is the new, small brand, the one that most needed to be discovered.

Delivering costs more than selling

McKinsey did the maths for every 100 dollars of shopping116. In the physical store, the chain makes about 4. Online, with the order picked in store and delivered to the home, it loses about 13: picking alone costs about 8 and delivery another 8. A Capgemini study of 500 executives concluded that companies only recover about 80% of the delivery cost from customers, and 97% admit the model is not sustainable at scale141.

Ocado, the company that bet most on automated warehouses for online, had an adjusted loss of £353m in 2025. Kroger, in the US, paid it 261 million to close centres it had ordered125.

Logistics is where the store's old power becomes physical. Sonae MC invested about €50m expanding the Azambuja and Maia centres; Azambuja covers 70,000 m² and ships more than 9,000 pallets a day. Jerónimo Martins opened the Valongo centre in 2017, with about 100,000 m² and a 75 million investment142. Whoever has warehouses, fleets and stores close to people has the last word on what arrives and when.

Whoever delivers: the fourth side of the triangle?

Delivery platforms arrived to take the last contact with the consumer. In 2020, Continente teamed up with Uber Eats, with about 1,000 products delivered in up to 30 minutes. In 2022 it launched its own quick delivery app, Quico, which by 2025 already reached 33 towns143. Getir, which had bought Gorillas, left Spain, Italy and Portugal in 2023144. Glovo bought Mercadão and did not keep the model; Pingo Doce went back to selling online on its own132.

In the United States, where platforms grew more, the pattern repeats with one difference. Instacart processed 37.2 billion dollars in orders in 2025, and about 29% of its revenue already came from advertising145. The platform that delivers also keeps the traces, and also sells them. In Portugal, platform commissions charged to restaurants reached 15% to 35% in 2020, and DECO complained to the Competition Authority146. We did not find the commissions charged to supermarkets.

The fourth side exists. In Spain, the biggest online seller of grocery is Amazon. In Portugal, for now, the chains have held it: they have the warehouses, the stores and the card.

And the consumer?

The Portuguese consumer did what they have done in every chapter: used the veto. They tried online during the pandemic and went back to the store. The CTT 2025 e-commerce survey shows that only 28.4% of online shoppers have ever bought supermarket groceries online, against 35.3% in Spain; and only 8.7% prefer to receive their shopping in less than two hours147. Ultra-fast delivery was a promise few asked for.

Digital did not give the consumer the command. It gave them more ways to be read, and created more players who want to read them. Whoever delivers reads. Whoever reads sells what they read. And the manufacturer, which tried to sell direct to the consumer, rarely managed it: McKinsey concluded that only "a handful" of these attempts work, and in 2023 Unilever sold the majority of Dollar Shave Club, which it had bought for about a billion dollars148.

Online grocery is small in Portugal

Online grocery is small in PortugalShare of grocery bought online: Portugal 2.5% in 2022, Spain 7.3% in 2025, France 11.9% in 2024, UK 13% in 2026, US 19% in 2025.0%5%10%15%20%Portugal20222.5%Spain20257.3%France202411.9%UK202613%US202519%
AnalystsPortugal: Kantar, source 113. Spain: NIQ, source 133. France, UK and US: source 135. Different sources and years; the chart shows orders of magnitude, not a series.

What to do

  • Manufacturerbefore buying retail media, demand measurement: incremental sales against a control group, not clicks. And in the negotiation, separate what is advertising from what is a condition for staying on the shelf.
  • Retailerretail media has software margins, but it only lasts as long as the supplier believes the numbers. Whoever measures what they sell has to allow outside measurement.
  • Consumerthe ad that appears in the chain's app was paid for by a brand and chosen based on your purchases. It is worth knowing why that product appears to you and not another.
Read with careThe Kantar and NIQ online series measure different things and give very different numbers for the same country; do not mix them. Retail media margins are consultancy estimates. The accounts of pressure on suppliers are from the US and Australia. There are no public retail media figures for Portugal.

Counterpoint

When they were on the same side

The story told so far is one of a war between those who make and those who sell. The Competition Authority's cases show that there was not always a war.

Between 2020 and 2023, the Competition Authority fined the largest supermarket chains in Portugal and several suppliers in ten cases, for a total the international press puts at more than €686m149, 150. The charge was the same in all of them: the chains allegedly used the supplier as a go-between to align retail prices among themselves. The supplier passed information from one chain to the others, and all of them raised or held prices at the same time. Economists call this a hub-and-spoke scheme.

DecisionSupplierTotal fines
Apr. 2023Johnson & Johnson€16.9m
Sep. 2022Active Brands / Gestvinus€5.6m (annulled in 2026)
Jun. 2022Unilever€132m
Jun. 2022Beiersdorf€19.5m
Mar. 2022Sumol+Compal€80m
Nov. 2021Bimbo Donuts€24.6m
Nov. 2021Super Bock€92.8m
Dec. 2020Sociedade Central de Cervejas e Primedrinks€304m

Eight decisions with amounts published in the press; they add up to about €675m and the gap to the €686m is not explained. Sources: Portuguese press, based on the Competition Authority's press releases150.

These decisions are not final. In 2023, the Constitutional Court ruled unconstitutional the seizure of opened emails authorised only by the Public Prosecutor, in an appeal by Jerónimo Martins151. Several cases were suspended. In 2026, the Competition Court annulled the fines in the Active Brands / Gestvinus case, finding the evidence null and insufficient even if it had been valid152. The outcome of the others is not yet known.

Whatever the result in court, the case teaches one thing. When power is concentrated in a few chains and a few suppliers, the temptation to stop competing exists on both sides. And when they give in to it, the one who loses is the third side of the triangle.

Numbers without a source

Six claims we left out

Sayings that circulate in the industry and that research does not confirm.

If I had asked people what they wanted, they would have said faster horses.False attribution

Attributed to Henry Ford, but it does not appear in any of his writings. Quote Investigator only finds it from 1999 onwards, more than 50 years after Ford's death. Ford's real line is another: any colour, so long as it is black.

See the source →
85% of new products fail.No original study

It varies between 80% and 95% depending on who is quoting. Castellion and Markham looked for the origin of these numbers and found no studies to support them. Estimates with a published method point to about 40%, depending on the sector.

See the source →
76% of purchase decisions are made in store.No published method

It comes from a 2012 study by POPAI, the point-of-purchase advertising association, with no published sample or method. The reference study finds 59% unplanned purchases, but only 3% switches away from the planned brand.

See the source →
Retail took the manufacturer's margin.Tested, not confirmed

The research that tested the idea found no transfer of profitability from manufacturer to store. The gain seems to have gone mostly to the consumer.

See the source →
You know more about my customers in three months than I did in 30 years.Altered quote

Ian MacLaurin's quote, from Tesco, exists, but the verified version says "my business", not "my customers".

See the source →
The last mile accounts for 41% (or 53%) of delivery cost.No visible source

The number circulates attributed to a 2019 Capgemini study, but it does not appear in the study's press release; it only appears in a later text by the company. The 53% comes from a report with no visible method. What the study does say is that companies only recover about 80% of delivery costs.

See the source →

Test

Who runs your category?

Answer with a specific category in mind: yours, if you make or sell, or one you buy every week.

1. If the leading brand is missing from the shelf, most customers:

2. In this category, private label has:

3. Does the consumer ask for this category by brand name?

4. In the last three years, have new brands appeared and succeeded?

5. Who has the best data on who buys?

6. Does the category sell mostly on promotion?

7. Does the consumer comment on, compare or review these products online?

8. If the chain removes the leading brand, what happens to category sales in that store?

9. Is price the main choice criterion?

The test is a tool for reflection built from this analysis, not a validated instrument.

Keep reading

To go further

This analysis is open. Read all of it, no sign-up.

If these topics interest you, leave your email and get the next analyses.

The sign-up form opens here and is run by E-goi. You will then get an email to confirm. Unsubscribe whenever you like; your data is not shared.

Method

How we did this analysis

How we chose the sources

We looked first for meta-analyses, then for studies with real purchase data (panels, receipts, in-store experiments), then for official statistics and company accounts. Surveys by industry associations and vendors are included with a note on who paid for them. Books, including Store Wars, Positioning, Kotler, Lakoff and Lindstrom, are on the same level as the other sources. None is the basis of the analysis.

How we classify

Each source has a type: Academic, Official, Analyst, Vendor, Survey, Essay, Press or Book. When we read a number in a secondary source and not in the original, we say so.

What is ours

The triangle of power, the three category types, the application of stigmergy to consumption and the test are our own synthesis. They rest on published research, but they do not exist in this form in the literature.

Interests

The author worked on the supplier side at several grocery companies and is a consultant to manufacturers that sell to large retailers. No company funded this analysis.

The limits of this analysis
  • Most academic research is from the United States and northern Europe.
  • For Portugal there is good data on concentration, private label, promotions and Competition Authority decisions, but we found no Portuguese studies on stock-outs, on online reviews in grocery, or on the weight of loyalty cards in each chain's sales.
  • Recent history may change with the outcome of the court cases.

Sources

153 sources, in chapter order

Academicpeer-reviewed journal or academic working paperOfficialofficial statistics, public body or company reportAnalystconsultancy or market research firmSurveysurvey or industry association studyVendorsells a solution for what it measures, or talks about itselfPressnewspaper or magazineEssayopinion or popular articleBookbook
  1. 1
    OfficialINE, retail trade statistics for large stores, private label share, 2011–2024.open ↗
  2. 2
    AnalystWorldpanel (formerly Kantar), grocery market shares in Portugal, 2025, via ECO, 26/03/2026.open ↗
  3. 3
    OfficialJerónimo Martins, Full-year 2024 results, 19/03/2025 (working capital −€4,062m; suppliers −52 days of sales).open ↗
  4. 4
    SurveyGruen, T., Corsten, D. and Bharadwaj, S. (2002). Retail Out-of-Stocks: A Worldwide Examination of Extent, Causes and Consumer Responses. GMA/FMI/CIES.Original report not available online; numbers read in secondary sources and in the article by Corsten and Gruen (2003).open ↗
  5. 5
    AcademicHayek, F. A. (1945). The Use of Knowledge in Society. American Economic Review, 35(4), 519–530.open ↗
  6. 6
    AcademicGrassé, P.-P. (1959). Insectes Sociaux, 6, 41–81; Theraulaz, G. and Bonabeau, E. (1999). A Brief History of Stigmergy. Artificial Life, 5(2).open ↗
  7. 7
    BookCorstjens, J. and Corstjens, M. (1995). Store Wars: The Battle for Mindspace and Shelfspace. Wiley.open ↗
  8. 8
    AcademicFullerton, R. A. (1988). How Modern Is Modern Marketing? Journal of Marketing, 52(1).
  9. 9
    AcademicKirca, A. H., Jayachandran, S. and Bearden, W. O. (2005). Market Orientation: A Meta-Analytic Review. Journal of Marketing, 69(2).open ↗
  10. 10
    AcademicMercer, H. (2014). Retailer–Supplier Relationships before and after the Resale Prices Act, 1964: A Turning Point in British Economic History? Enterprise & Society, 15(1), 132–165.open ↗
  11. 11
    AcademicMessinger, P. R. and Narasimhan, C. (1995). Has Power Shifted in the Grocery Channel? Marketing Science, 14(2).open ↗
  12. 12
    AcademicKohli, A. K. and Jaworski, B. J. (1990). Market Orientation. Journal of Marketing, 54(2).open ↗
  13. 13
    AcademicNarver, J. C. and Slater, S. F. (1990). The Effect of a Market Orientation on Business Profitability. Journal of Marketing, 54(4).open ↗
  14. 14
    AcademicRodriguez Cano, C., Carrillat, F. A. and Jaramillo, F. (2004). A meta-analysis of the relationship between market orientation and business performance. International Journal of Research in Marketing, 21(4).
  15. 15
    AcademicBronnenberg, B. J., Dhar, S. K. and Dubé, J.-P. (2009). Brand History, Geography, and the Persistence of Brand Shares. Journal of Political Economy, 117(1).open ↗
  16. 16
    AcademicSethuraman, R., Tellis, G. J. and Briesch, R. A. (2011). How Well Does Advertising Work? Journal of Marketing Research, 48(3).open ↗
  17. 17
    PressTenser, J. (1996). Polls Concur: Spending Is Flowing to the Trade. Supermarket News, 03/06/1996 (18th annual survey by Carol Wright Promotions).open ↗
  18. 18
    BookFord, H. (1922). My Life and Work.open ↗
  19. 19
    EssayQuote Investigator, "My Customers Would Have Asked For a Faster Horse" (2011).open ↗
  20. 20
    BookRies, A. and Trout, J. (1981). Positioning: The Battle for Your Mind. McGraw-Hill. Origin: Trout, J. (1969), Industrial Marketing.open ↗
  21. 21
    AcademicMela, C. F., Gupta, S. and Lehmann, D. R. (1997). The Long-Term Impact of Promotion and Advertising on Consumer Brand Choice. Journal of Marketing Research, 34(2).open ↗
  22. 22
    AnalystNielsen, Shopper Ibérico (2018), via Marketeer, 29/11/2018.open ↗
  23. 23
    SurveyCentromarca and TouchPoint, Promoflation (first half of 2024, 1,685 leaflets from 13 chains), via Lusa, 08/10/2024.open ↗
  24. 24
    AnalystNIQ, El Mercado del Gran Consumo en España 2025, via Forbes España.open ↗
  25. 25
    OfficialDuarte, T. (1997). O Comércio a Retalho Português no Contexto Europeu. GEPE, Ministry of the Economy, DT 7-97 (Nielsen data).open ↗
  26. 26
    OfficialDuarte, T. (1997), GEPE, Ministry of the Economy (Eurostat and INE data); same document as source 25.open ↗
  27. 27
    PressRecheio, history (founded in 1972, Figueira da Foz; fully acquired by Jerónimo Martins in 1989). Wikipedia.Secondary source.open ↗
  28. 28
    OfficialJerónimo Martins, "Jerónimo Martins History" (group website).open ↗
  29. 29
    PressEntry dates: Makro (Postal, 03/09/2020), Intermarché (Marketeer, 30/03/2021), Lidl (Lusa, 17/07/2025), Aldi (Echo Boomer, 23/07/2026), Mercadona (Notícias ao Minuto, 02/07/2019).open ↗
  30. 30
    AcademicRibeiro, P. F. (2013). Amanhecer – a new dawn for Recheio? Master's thesis, Católica Lisbon School of Business and Economics.open ↗
  31. 31
    PressRTP / Lusa, 17/03/2008, "Pão de Açúcar saiu há 12 anos de Portugal, onde chegou a liderar mercado e a protagonizar conflito".open ↗
  32. 32
    PressDistribución y Consumo, no. 12 (1993), article on food retail in Portugal, pp. 58–68.open ↗
  33. 33
    PressFeira Nova (supermarkets), Portuguese Wikipedia, based on Diário de Notícias (06/02/2008), Jornal de Negócios (15/12/2009) and Hipersuper (12/02/2010).open ↗
  34. 34
    OfficialSonae, "História" (first Continente hypermarket, Matosinhos, 1985); DN, 29/08/2017; Jornal Económico and Echo Boomer, 12/05/2022 (Cascais, 1973).open ↗
  35. 35
    AcademicSalgueiro, T. B. (1992). A integração europeia e as novas formas de comércio. Análise Social, 118-119.open ↗
  36. 36
    BookThain, G. and Bradley, J. (2012). Store Wars: The Worldwide Battle for Mindspace and Shelfspace, Online and In-store, 2nd ed. Wiley.open ↗
  37. 37
    PressMarketeer, 04/04/2012, "Pingo Doce reduz prazo de pagamento a fornecedores para 10 dias".open ↗
  38. 38
    OfficialDecree-Law no. 118/2010, payment terms for micro and small enterprises in the agri-food sector.open ↗
  39. 39
    OfficialDecree-Law no. 76/2021, amending DL 166/2013 (individual restrictive trading practices).open ↗
  40. 40
    OfficialDirective (EU) 2019/633, on unfair trading practices in business-to-business relationships in the agricultural and food supply chain.open ↗
  41. 41
    OfficialFederal Trade Commission (2003). Slotting Allowances in the Retail Grocery Industry.open ↗
  42. 42
    OfficialAutoridade da Concorrência (2010). Relatório Final sobre Relações Comerciais entre a Distribuição Alimentar e os seus Fornecedores, October 2010; numbers cited in Loureiro, M. (2014), master's dissertation, Faculdade de Economia do Porto.open ↗
  43. 43
    EssayCosta e Silva, S. and Esteves, A. (2015). "Acordos de fornecimento: o que está por detrás dos contratos da distribuição moderna em Portugal", Hipersuper, 29/01/2015.open ↗
  44. 44
    PressThe Grocer, "How small brands can navigate supermarket trade investment asks".No date on the page.open ↗
  45. 45
    PressThe Grocer, "Asda charges suppliers six-figure sums for customer sales data".No date on the page.open ↗
  46. 46
    PressSalon, 23/09/2024, "Inside the very, very guarded agreements dictating what's sold in grocery stores" (cites CSPI 2016 and American Antitrust Institute 2018).Read the CSPI and AAI originals.open ↗
  47. 47
    OfficialEuropean Commission (2013). Green Paper on unfair trading practices in the business-to-business food and non-food supply chain in Europe, COM(2013) 37 final, p. 7 (AIM-CIAA survey, 2011).open ↗
  48. 48
    OfficialColen, L., Bouamra-Mechemache, Z., Daskalova, V. and Nes, K. (2020). Retail alliances in the agricultural and food supply chain. Joint Research Centre, European Commission, EUR 30206 EN.open ↗
  49. 49
    OfficialEuropean Commission (2014). The economic impact of modern retail on choice and innovation in the EU food sector.open ↗
  50. 50
    AnalystPLMA (2025), Private Label Yearbook.open ↗
  51. 51
    SurveyCentromarca and Kantar (2025), study on manufacturer brands and private labels in Portugal.open ↗
  52. 52
    PressDinheiro Vivo, 19/03/2026, "Sonae: marca própria vale um terço das vendas do Continente".open ↗
  53. 53
    AcademicAilawadi, K. L., Pauwels, K. and Steenkamp, J.-B. E. M. (2008). Private-Label Use and Store Loyalty. Journal of Marketing, 72(6).open ↗
  54. 54
    AcademicGázquez-Abad, J. C. et al. (2015). Mixed assortments vs. store brand-only assortments. Revista Española de Investigación de Marketing ESIC, 19.open ↗
  55. 55
    AcademicAmat, O. and Valls, J. (2010). Mercadona: Adapting the business model in years of recession. Revista de Contabilidad y Dirección, 11.open ↗
  56. 56
    AcademicSloot, L. M. and Verhoef, P. C. (2008). The impact of brand delisting on store switching and brand switching intentions. Journal of Retailing, 84(3).
  57. 57
    AcademicChandon, P., Hutchinson, J. W., Bradlow, E. T. and Young, S. H. (2009). Does In-Store Marketing Work? Journal of Marketing, 73(6).open ↗
  58. 58
    AcademicInman, J. J., Ferraro, R. and Winer, R. S. (2004). Where the Rubber Meets the Road: A Model of In-Store Consumer Decision-Making. Working paper (POPAI 1995 data); later published in the Journal of Marketing, 73(5), 2009. Includes a reference to Kollat and Willett (1967).open ↗
  59. 59
    AcademicDrèze, X., Hoch, S. J. and Purk, M. E. (1994). Shelf Management and Space Elasticity. Journal of Retailing, 70(4).open ↗
  60. 60
    VendorPOPAI (2012). Shopper Engagement Study, via Supermarket News, 08/05/2012.open ↗
  61. 61
    AcademicMertens, S., Herberz, M., Hahnel, U. J. J. and Brosch, T. (2022). The effectiveness of nudging. PNAS, 119(1).open ↗
  62. 62
    AcademicMaier, M. et al. (2022). No evidence for nudging after adjusting for publication bias. PNAS, 119(31).open ↗
  63. 63
    BookLindstrom, M. (2008). Buyology. Doubleday.open ↗
  64. 64
    AcademicPoldrack, R. et al. (2011). Letter to the New York Times about "You Love Your iPhone. Literally.", 46 signatories.open ↗
  65. 65
    VendorThe Coca-Cola Company, "New Coke: the most memorable marketing blunder ever".open ↗
  66. 66
    AcademicJanssen, A. (2026). Brand switching or behavior change: The 2023 Bud Light boycott's impact on alcohol purchases. Economics Letters, 260.open ↗
  67. 67
    AnalystECR Europe and Roland Berger (2003). Optimal Shelf Availability, via LebensmittelPraxis, 2011.Original not found.
  68. 68
    AcademicChevalier, J. A. and Mayzlin, D. (2006). The Effect of Word of Mouth on Sales: Online Book Reviews. Journal of Marketing Research, 43(3).open ↗
  69. 69
    AcademicLuca, M. (2016). Reviews, Reputation, and Revenue: The Case of Yelp.com. HBS Working Paper 12-016.open ↗
  70. 70
    AcademicYou, Y., Vadakkepatt, G. G. and Joshi, A. M. (2015). A Meta-Analysis of Electronic Word-of-Mouth Elasticity. Journal of Marketing, 79(2).open ↗
  71. 71
    SurveyPortal da Queixa (2022). Study "Perfil do consumidor atual".open ↗
  72. 72
    SurveyMarktest, Barómetro E-Commerce, via Forbes Portugal, 19/12/2021.open ↗
  73. 73
    AcademicChavis, L. and Leslie, P. (2006). Consumer Boycotts: The Impact of the Iraq War on French Wine Sales in the U.S. NBER Working Paper 11981.open ↗
  74. 74
    AcademicKlein, J. G., Smith, N. C. and John, A. (2004). Why We Boycott. Journal of Marketing, 68(3).open ↗
  75. 75
    AcademicLiaukonytė, J., Tuchman, A. and Zhu, X. (2023). Spilling the Beans on Political Consumerism. Marketing Science, 42(1).open ↗
  76. 76
    PressNielsen and Bump Williams, via Axios, 14/06/2023.open ↗
  77. 77
    BookKotler, P., Kartajaya, H. and Setiawan, I. (2017). Marketing 4.0. Wiley.open ↗
  78. 78
    SurveyWorldpanel by Numerator (2026), use of loyalty cards in grocery in Portugal, via Marketeer, 02/10/2026.open ↗
  79. 79
    PressMarketing Week, "How Tesco revolutionised loyalty with Clubcard".open ↗
  80. 80
    PressExecutive Digest, 01/06/2023, "Continente: O maior cartão de descontos do país".open ↗
  81. 81
    OfficialSonae MC, Annual Report 2022.open ↗
  82. 82
    PressESM Magazine, 07/08/2023, on Lidl Plus in Portugal.open ↗
  83. 83
    BookLakoff, G. and Johnson, M. (1980). Metaphors We Live By. University of Chicago Press; Lakoff, G. (2004). Don't Think of an Elephant! Chelsea Green.
  84. 84
    PressSupermarket News, 16/06/1997, "Wal-Mart CPFR pilot charts course for in-stock growth".open ↗
  85. 85
    AcademicDeHoratius, N. and Raman, A. (2008). Inventory Record Inaccuracy: An Empirical Analysis. Management Science, 54(4).open ↗
  86. 86
    SurveySupermarket News, 22/05/2000, "Shelf integrity seen as key to profit boost" (study by The Partnering Group for Food Distributors International).open ↗
  87. 87
    OfficialGS1, press release of 26/06/2014, 40 years since the first barcode scan.open ↗
  88. 88
    AcademicBasker, E. (2012). Raising the Barcode Scanner: Technology and Productivity in the Retail Sector. NBER Working Paper 17825.open ↗
  89. 89
    AcademicBasker, E. and Simcoe, T. (2017). Upstream, Downstream: Diffusion and Impacts of the Universal Product Code. NBER Working Paper 24040, via VoxEU.open ↗
  90. 90
    PressForbes Portugal (2024), "Código de barras faz 50 anos e revolucionou o comércio".open ↗
  91. 91
    PressSCDigest, 26/07/2012, on P&G's continuous replenishment with Walmart.open ↗
  92. 92
    PressCIO, 17/10/2007, Walmart technology timeline (Retail Link, 1992).open ↗
  93. 93
    PressSupermarket News, 05/09/1994, on the Kurt Salmon ECR report (1993); Kinsey, J. and Senauer, B. (1997), Choices.open ↗
  94. 94
    AcademicLee, H. L., Padmanabhan, V. and Whang, S. (1997). Information Distortion in a Supply Chain: The Bullwhip Effect. Management Science, 43(4).open ↗
  95. 95
    AcademicMarques, A. R. L. P. V. (2013). Otimização de um sistema de reaprovisionamento de encomendas entreposto-lojas. Master's dissertation, Universidade do Minho.open ↗
  96. 96
    VendorBusiness Wire, 07/05/2026, "MC Advances Supply Chain Transformation with Blue Yonder Cognitive Solutions".open ↗
  97. 97
    VendorRELEX Solutions, 20/05/2021, "DIA Portugal selects RELEX Solutions".open ↗
  98. 98
    PressAlimarket, 21/09/2026, on technology in fruit and vegetable departments.open ↗
  99. 99
    VendorBusiness Wire, 13/10/2025, Pingo Doce and SymphonyAI.open ↗
  100. 100
    AcademicDeliberali, F. et al. (2017), literature review on trade marketing, International Journal of Professional Business Review, 2(1).open ↗
  101. 101
    PressSupermarket News, 18/04/1994, "Ralston Purina cuts pet foods sales jobs".open ↗
  102. 102
    AnalystBain & Company, 25/09/2019, "Next-generation key account management".open ↗
  103. 103
    AcademicRekik, Y., Oliva, R., Syntetos, A. and Glock, C. (2025), study on inventory inaccuracy at a British grocery retailer, arXiv 2506.05357.open ↗
  104. 104
    AcademicTong, J., Feiler, D. and Larrick, R. (2018). Production and Operations Management, 27(4), on censored demand.open ↗
  105. 105
    AcademicVan Donselaar, K. H., Gaur, V., Van Woensel, T., Broekmeulen, R. A. C. M. and Fransoo, J. C. (2010). Ordering Behavior in Retail Stores and Implications for Automated Replenishment. Management Science, 56(5).open ↗
  106. 106
    Academic"Discretion in Automated Supermarket Replenishment: Censorship Bias and Self-Inflicted Stockouts", Manufacturing & Service Operations Management (c. 2025).open ↗
  107. 107
    AcademicEisend, M. (2014). Shelf space elasticity: A meta-analysis. Journal of Retailing, 90(2).open ↗
  108. 108
    AnalystNielsen (2014), via FoodNavigator, 09/10/2014.open ↗
  109. 109
    AcademicFildes, R., Ma, S. and Kolassa, S. (2022). Retail forecasting: Research and practice. International Journal of Forecasting, 38(4).open ↗
  110. 110
    PressAlimarket, 11/01/2019, Mercadona and the "totaler" supplier role.open ↗
  111. 111
    AnalystSupplyChain247 (2015), MWPVL International on Target in Canada.open ↗
  112. 112
    PressAP, 09/04/2020, on toilet paper in 2020 (NCSolutions data).open ↗
  113. 113
    SurveyKantar for Centromarca, via ESM Magazine, 02/12/2022.open ↗
  114. 114
    AnalystMcKinsey and EuroCommerce, State of Grocery 2026, via Dinheiro Vivo, 21/04/2026.open ↗
  115. 115
    AnalystIAB Europe (2025), Retail Media (D. Knapp), via PPC Land.open ↗
  116. 116
    AnalystMcKinsey, 18/05/2022, "Achieving profitable online grocery order fulfillment".open ↗
  117. 117
    PressMarketeer, 26/06/2024, "Endless é a nova marca de Retail Media do universo MC".open ↗
  118. 118
    VendorJerónimo Martins, Feed, "Retail media at Biedronka and Pingo Doce" (c. 2024).open ↗
  119. 119
    PressECO, 05/02/2026, "Conversão ou brand building? Os desafios do retail media em Portugal".open ↗
  120. 120
    PressMarketingDirecto, 13/05/2024, Schwarz Media and Beintoo.open ↗
  121. 121
    PressMarketing Dive, 06/02/2026, Amazon advertising revenue in 2025.open ↗
  122. 122
    PressPPC Land, 22/02/2026, Walmart Connect, fiscal year 2026.open ↗
  123. 123
    AnalystWPP Media (2025), This Year Next Year, December 2025.open ↗
  124. 124
    EssayGabel, S., Simester, D. and Timoshenko, A. (2024). How Retailers Became Ad Platforms. Harvard Business Review.open ↗
  125. 125
    OfficialOcado Group, fiscal year 2025 results.open ↗
  126. 126
    PressDigiday, 11/09/2024, on retail media in negotiations with brands.open ↗
  127. 127
    SurveyArktic Fox and Six Degrees (2026), survey of brands in Australia, via B&T.open ↗
  128. 128
    SurveyIAB Europe (2025), Attitudes to Retail Media, 180 responses.open ↗
  129. 129
    AcademicPauwels, K. and Fagbola, L. (2025). Understanding retail media: Perspectives and implications for stakeholders. Journal of Retailing, 101(3), 315–330.open ↗
  130. 130
    AcademicToulouse School of Economics (2024), "Retail media and its impact on the retail ecosystem", working paper.open ↗
  131. 131
    PressMarketeer, Cadernos, 22/05/2026, on Continente Online (sponsored content).open ↗
  132. 132
    PressECO, 14/09/2021 (Glovo buys Mercadão) and 14/05/2025 (Pingo Doce starts selling online).open ↗
  133. 133
    AnalystNIQ, 27/01/2026, review of grocery in Spain in 2025.open ↗
  134. 134
    PressMarketing4eCommerce (2026), Mercadona online 2025, based on the annual report.open ↗
  135. 135
    AnalystWorldpanel UK via Fruitnet (2026); NIQ and FEVAD (2024); Brick Meets Click via SDCExec (2026).open ↗
  136. 136
    PressMarketeer, Cadernos, 13/05/2026, "Continente: A nova era do retalho" (sponsored content).open ↗
  137. 137
    AcademicChu, J., Chintagunta, P. and Cebollada, J. (2008). A Comparison of Within-Household Price Sensitivity Across Online and Offline Channels. Marketing Science, 27(2).open ↗
  138. 138
    AcademicDegeratu, A., Rangaswamy, A. and Wu, J. (2000). Consumer choice behavior in online and traditional supermarkets. International Journal of Research in Marketing, 17(1).open ↗
  139. 139
    AcademicPozzi, A. (2012). Shopping Cost and Brand Exploration in Online Grocery. American Economic Journal: Microeconomics, 4(3).open ↗
  140. 140
    AcademicArce-Urriza, M. and Cebollada, J. (2017), chapter in an IntechOpen book on online and offline brands at a Spanish retailer.open ↗
  141. 141
    VendorCapgemini Research Institute (2019), The Last-Mile Delivery Challenge.open ↗
  142. 142
    PressECO / Lusa, 14/10/2021 (Sonae MC, Azambuja and Maia); Executive Digest (2017), Jerónimo Martins' Valongo centre.open ↗
  143. 143
    PressECO, 16/07/2020 (Continente and Uber Eats); ESM Magazine (2022) and Echo Boomer, 11/02/2025 (Quico).open ↗
  144. 144
    PressAlimarket, 27/07/2023, Getir's exit from Spain, Italy and Portugal.open ↗
  145. 145
    OfficialInstacart, Q4 2025 shareholder letter.open ↗
  146. 146
    PressECO, 12/11/2020, delivery platform commissions and DECO's complaint.open ↗
  147. 147
    SurveyCTT (2025), e-Commerce Report 2025.open ↗
  148. 148
    AnalystMcKinsey (2017), on direct selling by grocery brands; Retail Dive (2023), Unilever's sale of Dollar Shave Club.open ↗
  149. 149
    PressGlobal Competition Review, 27/04/2023, "Portugal hits supermarkets with final hub-and-spoke fine".open ↗
  150. 150
    PressPortuguese press on the Competition Authority's decisions: Observador (21/12/2020), Sábado (03/11/2021 and 08/06/2022), DN (17/11/2021 and 20/06/2022), ECO (30/03/2022 and 26/04/2023), Postal (14/09/2022).open ↗
  151. 151
    PressExecutive Digest / Dinheiro Vivo, 15/06/2023, on the Constitutional Court ruling and the suspension of the cases.open ↗
  152. 152
    PressObservador, 11/08/2026, on the annulment of the fines in the Active Brands / Gestvinus case.open ↗
  153. 153
    AcademicCastellion, G. and Markham, S. K. (2013). Perspective: New Product Failure Rates. Journal of Product Innovation Management, 30(5).open ↗

The consumer commands no one. But whoever reads the consumer best is in charge.

Talk to Nelson

Analysis No. 4 · November 2026 · Nelson Viegas · Superior Training Technology

Illustrative example

NAPA diagnosis — a commercial-leadership role

Based on a real report. Shows the reading by domain for the role, not the diagnosis’ full numeric values.

Revenue Strategy & PredictabilityStrong
KPIs & Revenue PerformanceConsolidating
Customer JourneyTo assess
Sales LeadershipTo develop
Leadership & TeamTo develop
Stakeholder OrchestrationTo develop
Negotiation & PartnershipsTo develop

The same domains, as a radar chart

Current levelRole requirement
RevenueStrategyKPIs &PerformanceCustomerJourneySalesLeadershipLeadership &TeamOrchestrationNegotiation
Diagnosis by domain, current level and role requirement
DomainCurrent levelRole requirement
Revenue Strategy & Predictability8885
KPIs & Revenue Performance6480
Customer Journey5070
Sales Leadership3685
Leadership & Team3875
Stakeholder Orchestration3480
Negotiation & Partnerships3378