Is Your Strategy Good Enough to Move You Up on the Power Curve?
www.mckinsey.com/strategy-beyond-the-hockey-stick

Is Your Strategy Good Enough to Move You Up on the Power Curve?

Business strategy is about beating the market. To do that, you need an accurate map of corporate performance.

In the early 15th century, European map makers drew their own continent reasonably accurately. But they outlined Africa and Asia just as confidently, despite little knowledge of those unexplored coasts, and missed the Western Hemisphere entirely. 

Note: The Fra Mauro map pictured here is considered one of the greatest and most detailed examples of medieval cartography. It was created in the mid-fifteenth century over the course of several years by a Venetian monk.





It was only after Christopher Columbus encountered an unknown continent that cartographers realized just how much they didn’t know, and began leaving blank spaces for explorers to fill in. 

The current state of strategy at times reminds us of those early maps. Discussion in the strategy room tends to focus on how we compare with last year and our immediate competitors, and our expectations for the next year, but there is little exploration of the world beyond our own experience—the broader corporate universe outside our familiar sphere of activity. The strategy room is jammed so full with slides and facts from this “inside view” that there is little space for an external, empirical perspective. 

My colleagues and I set out to flesh out our clients’ maps by bringing in an “outside view.” To prepare our new book, Strategy Beyond the Hockey Stick, we examined publicly available information on dozens of variables for the world’s 2,393 largest companies. We found 10 levers that explain more than 80% of the up-drift and down-drift in corporate performance - data that can help you assess your strategy’s odds of success before you leave the strategy room, much less start to execute the plan.

If Jeff Bezos walks into a bar, the average wealth of all others in the room would soar to more than $100 million, even though their wallets remain just as slim

At its heart, business strategy is about beating the market - in other words, defying the power of “perfect” markets to push economic surplus back to zero. Economic profit (the total profit after the cost of capital is subtracted) measures the success of that defiance by showing what is left on the table after the forces of competition have played out. Our study found that from 2010 to 2014, the average company made $180 million a year in economic profit. Plotting those averages demonstrates a power law - the tails of the curve rise and fall at exponential rates, with long flatlands in the middle:

You see a big gap between the middle and the top - the average economic profit on the top quintile is 30 times greater! While we expected a broad distribution of results, the steepness of the tails surprised us, as did how flat the broad middle was. Going back to my maps analogy, we thought we were headed for Japan and hit the West Indies instead. Among other things, we realized that the extremes of the results render an average all but meaningless. If Jeff Bezos walks into an ordinary bar, the average wealth of the other people in the room would soar to more than $100 million, even though all the other customers’ wallets remain just as slim as before. 

There are several important takeaways from what we’ve called the Power Curve:

Market forces are pretty efficient

The average company generates returns that exceed the cost of capital by almost 2 percentage points, but the market is chipping away at those profits all the time. That brutal competition is why you must struggle just to stay in place. For companies in the middle of the Power Curve, the market takes a heavy toll. In those flat lands, all the hard work amounts to little more than the ability to pay the rent. Companies in those three quintiles delivered economic profits averaging just $47 million a year. 

The curve is extremely steep at the bookends

Companies in the top quintile capture nearly 90% of the economic profit created, averaging $1.4 billion annually. This is a hall of fame for business, with the top 40 including household names such as Microsoft, China Mobile, Merck and Exxon. In fact, those in the top quintile average some 30 times as much economic profit as those in the middle three quintiles, while the bottom 20% suffer deep economic losses. In smartphones, for example, the top two companies - Apple and Samsung in the period we studied - earned virtually all the economic profit while the other mobile phone makers in aggregate actually destroyed value. At the other end of the curve, the undersea canyon of losses is deep - though not quite as deep as the mountain is high. 

The curve is getting steeper over time

Back in 2000-2004, companies in the top quintile captured a collective $186 billion in economic profit. Fast-forward a decade and the top quintile earned $684 billion. A similar pattern emerges in the bottom quintile. Since investors seek out companies that offer market-beating returns, capital tends to flow to the top, no matter the geographic or industry boundaries. Firms that started in the top quintile 10 years earlier soaked up 50 cents of every dollar of new capital in the decade up to 2014. 

Size isn’t everything, but it isn’t nothing, either

Economic profit reflects the strength of a strategy based not only on the power of its economic formula but also on how scalable that formula is. Compare Wal-Mart, with a moderate 12% return on capital but a whopping $136 billion of invested capital, with Starbucks, which has a huge 50% return on capital but is limited by being in a much less scalable category, deploying only $2.6 billion of invested capital. They both generated enormous value, but the difference in economic profit is substantial: $5.3 billion for Wal-Mart versus $1.1 billion for Starbucks. 

Industry matters, a lot

Our analysis shows that about 50% of your positioning on the Power Curve is driven by your industry—highlighting just how critical the “where to play” choice is in strategy. Industry performance also follows a Power Curve, with the same hanging tail and high leading peak:

There are 12 tobacco companies in our research, and nine are in the top quintile. Yet there are 20 paper companies, and none is in the top quintile. The role of industry in a company’s position on the Power Curve is so substantial that you’d rather be an average company in a great industry than a great company in an average industry. In some cases, you’d rather be in your supplier’s industry than in your own. For example, the average economic profit of airlines is a loss of $99 million, while suppliers in the aerospace and defense category average a profit of $453 million. 

Mobility is elusive

We found that the odds of a company moving from the middle quintiles of the Power Curve to the top quintile over a 10-year period are 8%. Consider that number for a moment: it means fewer than 1 in 10 companies make such a leap. To give yourself the best chance, you must choose the right businesses in your portfolio to back. Their chances of showing real improvement are also 1 in 10.

A fresh perspective with the outside view

When you realize that success is largely defined by your company’s and your industry’s movements on the Power Curve, your perspective changes. Your horizon gets broadened. You’re looking at a new map, a new reference point where you’re no longer comparing yourself with last year or your closest rival, but the full universe of companies competing for capital and economic profits.

Success for your strategy becomes moving up on the Power Curve, and your main competitor is the Darwinist force of the market that squeezes your profitability.

In the end, it’s you versus the world.


I am the co-author, with Sven Smit and Chris Bradley, of Strategy Beyond the Hockey Stick: People, Probabilities and Big Moves to Beat the Odds.

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George Goognin

?? Founder @ Evita - we unite banks and fintechs into the cross-currency instant payments network

4 年

Dear Martin, thanks for the interesting point of view and data! I've got a couple of questions: 1. Where are the banks/fintechs at the Industry Power Curve? 2. Seems like it's better to pick a broader timeframe to include at least one small debt cycle burst. It will probably make the data more objective.

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Garrett N. Olson

Strategy I Innovation I Venture I Risk

6 年

"the Power Curve is so substantial that you’d rather be an average company in a great industry than a great company in an average industry" ...so obvious, but forgotten...

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Patrik Lund

Social and environmental risk mitigation

7 年

The first two points of the article are not new, but they are always worth repeating: 1 - we always underestimate what we do not know, whilst focusing too much on what we know. 2 – in modern markets a small number of companies make most of the economic profits, and this trend is growing. Regarding the rest of the article, I have several concerns and here are a couple of examples: - The concept of moving up the power curve…there is no doubt that MBAs and management consultants will love talking about this. But I am highly sceptical how this concept will help companies. Yes, access to capital is crucial, but you do not need the ‘power curve’ to know this. - The industry power curve – software is at the top of the ‘industry power curve’. But within the software sector there is a small number of companies making most of the profits, whilst most software companies struggle to survive. There are many other issues within this industry power curve, which as presented in the article, is making the mistake of focusing on what we know and hiding away a lot of unknowns.

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Egil Moller Nielsen

Executive Vice President I Chief Operating Officer I Supply Chain, Logistics, IT & Tech.

7 年

Agree it's a matter of industry but also a matter of timing ie different decades has different industry or category winners.

Mushtaq Kapasi

Senior Project Controls Manager, MACE

7 年

This is an incredibly insightful article. However, from the perspective of organizations and industries lying in the so called 'flat lands', it seems to me that what is described as 'market efficiency' is nothing but a function of uber-capitalism, i.e. the extremely impatient quest for ever increasing returns on capital. One can't argue with the author's advice on how to compose one's capital investment portfolio, but I dare say that the world wouldn't necessarily function 'efficiently', or for that matter even effectively, if simple 'market efficiency' drove the industries in the flat land to 'Darwinian' extinction.

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