
You set a price, launch a product or enter a market, and the outcome turns out to depend less on your decision than on what everyone else decided at the same time. That interdependence is the subject of game theory, and it is the reason ordinary planning tools underperform in competitive situations: a plan assumes the world holds still while you execute it.
The formal version involves mathematics. The commercially useful version mostly does not. What it requires is the discipline of thinking one step further than feels natural, which is a habit rather than a technique.
The field was formalised by John von Neumann and Oskar Morgenstern in the 1940s and extended by John Nash. Four elements describe any strategic situation.
Players. Whoever's decisions affect the outcome. In business this is wider than the competitor list: suppliers, distributors, regulators and large customers all make moves that change your payoff.
Strategies. The options available to each player. Not intentions, options: what they could actually do given their capacity and constraints.
Payoffs. What each player gets under each combination of moves. This is where most analysis goes wrong, because payoffs are assumed rather than investigated.
Interdependence. Your result depends on their choice as well as yours, which is what separates a strategic situation from a planning one.
A dominant strategy is one that is better for you regardless of what anyone else does. Where one exists the analysis is finished: take it.
They are rarer than they look. Most apparent dominant strategies turn out to depend on assumptions about the other side that were smuggled in unexamined. Testing for one is still worthwhile, because it is quick and because finding that your best move changes with theirs is itself the useful information.
A Nash equilibrium is a combination of choices where no player can improve their position by moving alone.
The commercially important point is that an equilibrium can be bad for everyone in it. Consider a market where four competitors have all discounted to the point where margins barely cover cost. Every one of them would be better off if all four raised prices. None can raise alone without losing volume to the other three. That is a stable and unpleasant resting point, and it will not resolve through effort or determination.
Recognising that you are in one changes what you do. The move is not to try harder within the equilibrium but to change the game: compete on a dimension the others cannot match quickly, serve a segment with different requirements, or alter your cost base so the same price yields a different margin.
The best-known structure in the field is also the most common in commerce.
Two competitors each choose to hold or cut price. If both hold, both keep healthy margins. If one cuts and the other holds, the cutter takes share. If both cut, both keep their relative positions at materially lower margins.
Each firm's individually rational move is to cut, whatever the other does. So both cut, and both end up worse off than if neither had. The logic is airtight and the outcome is destructive, which is precisely what makes it worth recognising in advance.
The practical response is not to move first into the trap, and to compete where matching is slow. A discount can be replicated within a day. Contractual guarantees, deep integrations, accumulated switching costs and service commitments cannot.
Most competitive decisions are not simultaneous. Someone moves and someone else responds.
Sequential situations are analysed from the end. Start with the last move and ask what the other party will rationally do once you have acted, then work back to the present.
A firm considering entry into a market occupied by a large incumbent, for example, should not ask whether the incumbent would prefer to keep the market to itself, which is obvious, but whether cutting prices to deter entry would be worth it to them once entry has occurred. If the incumbent's margins are high and the entrant's target segment is small, retaliation may cost the incumbent more than tolerating a niche competitor. Their threat, however loudly made, is then not credible.
Which brings us to the concept that does the most practical work.
A commitment matters only if it would be irrational to abandon it, and that requires it to be costly to reverse. Saying you will never discount is not a commitment. Publishing a price list with a public no-discount policy is closer, because reversing it is visible and embarrassing. Signing a long-term supply contract at a fixed price is a commitment in full, because breaking it costs money.
The counterintuitive implication is that removing your own options can strengthen your position. A supplier who genuinely cannot go below a floor price negotiates from a stronger place than one who can and says they will not. Threats and promises that cost nothing to withdraw change nobody's behaviour, including the behaviour of people who believe them.
A one-off interaction rewards taking the immediate advantage. A repeated one makes reputation an asset.
In markets where the same firms meet repeatedly, on tender after tender, in the same accounts, at the same conferences, behaviour that would be sensible once becomes expensive. Aggressive undercutting on one deal invites retaliation on the next three. A reputation for consistent pricing is met more predictably and, over a series of interactions, more profitably.
This is why competitive advice that ignores the time dimension is frequently wrong. The question is not whether a move wins this deal but what it teaches the other side about the next ten.
Adam Brandenburger and Barry Nalebuff made the most useful business adaptation of the field in Co-opetition. Their central observation is that competition and cooperation are not opposites and usually occur simultaneously.
Their Value Net adds a fourth party to the familiar three. Alongside customers, suppliers and competitors sit complementors: parties whose presence makes your offering more valuable. A payments provider makes an e-commerce platform more valuable; a consultancy makes a software vendor more valuable.
The reason this matters is that the same organisation often occupies several roles at once. A large platform can be your distribution channel, your complementor and your direct competitor in the same quarter. Treating it as purely one of those produces a strategy that fails on contact with the other two.
Public procurement is unusually close to a formal sealed-bid auction, which makes it one of the clearest places to apply the analysis.
Players: the buyer, the credible bidders, and any incumbent supplier.
The buyer's payoff is stated in the evaluation criteria and is not always what they are actually optimising for. A weighting that awards heavy credit for a narrowly defined reference, or for membership of a local register, tells you something the stated criteria do not.
Competitors' strategies depend on their capacity. A firm with idle capacity will bid lower than one operating at the limit, because their marginal cost of the work is different.
Working backwards from the award produces the most valuable conclusion, which is frequently that you should not bid. Preparing a losing submission has a real and recurring cost, and the discipline of deciding not to compete is worth more over a year than incremental improvements to the documents.
It does not predict. It identifies which outcomes are stable and which moves are self-defeating, on assumptions that are often wrong.
The assumptions fail in three regular ways. Competitors hold information you do not. They optimise for things you have not guessed, including internal targets unrelated to profit. And they sometimes act irrationally, or rationally against an objective nobody outside the company can see.
Used as prediction, the method produces confident and incorrect forecasts. Used as a discipline, it makes your own assumptions explicit and rules out moves that fail under every reasonable reading of the other side. The second use is the valuable one.
Game theory earns its place in commercial work as a habit of thought: name the players, guess what they want, look one move further than instinct suggests, and ask where the situation settles.
Most of its value comes from three recognitions. That a stable outcome can be bad for everyone in it. That commitments only matter when they are expensive to reverse. And that a move which wins today teaches the other side something about tomorrow.
At go:lofty we use this kind of analysis in competitive positioning and bid decisions, where the most useful answer is often that the game is not worth entering.

Not for most decisions. The formal apparatus matters for auctions, spectrum design and academic work. In ordinary commercial situations the value comes from the discipline of asking who the players are, what each one is optimising for, what happens after your move, and where the stable outcome sits. A two-by-two grid on paper covers a great deal. The mathematics becomes necessary when the number of players and moves grows past what can be held in the head.
A combination of choices where nobody can improve their own position by changing their move alone, given what everyone else is doing. It is a resting point rather than a good outcome. That distinction matters commercially: a market where every competitor discounts to the same low margin is often an equilibrium, and everyone would be better off if all of them stopped, yet no single firm can raise prices alone without losing volume. Recognising that you are in one explains why effort alone will not change it.
It is the structure of most price wars. Two competitors both do better by holding prices, and each individually does better by cutting while the other holds. Both cut, and both end worse off than if neither had moved. The commercial lesson is not to cut first, which invites the same trap, but to compete on dimensions that are harder to match instantly. Discounts can be replicated within a day; service guarantees, integrations and switching costs cannot.
In a simultaneous game both sides commit without seeing the other's choice, as in sealed-bid tenders. In a sequential game one moves first and the other responds, as in a product launch. The analysis differs: sequential situations are worked backwards from the final move, asking what the other party will rationally do once you have acted, and then choosing accordingly. Most competitive business decisions are sequential, and most people analyse them as if they were simultaneous.
A commitment is credible when it would be irrational to abandon it, which means it must be costly to reverse. Announcing that you will match any price is not credible on its own; publishing a policy that automatically refunds the difference makes it so, because backing out would be visible and expensive. Credible commitments change what the other side expects and therefore what they do. Threats and promises that cost nothing to withdraw change nothing.
Because a single interaction rewards taking the short-term advantage, while a repeated one makes reputation an asset worth protecting. In a market where the same firms meet on tender after tender, a company known for aggressive undercutting invites retaliation on the next round, and one known for consistent pricing is met more predictably. This is why the same competitive move can be sensible in a one-off situation and destructive in a market where everyone meets again next quarter.
The idea, developed by Adam Brandenburger and Barry Nalebuff, that firms often compete and cooperate at once. Their Value Net adds complementors, meaning parties who make your offering more valuable, to the familiar picture of customers, suppliers and competitors. It matters because the same organisation frequently occupies more than one role: a platform can be your distribution channel and your direct rival in the same quarter, and treating it purely as one or the other produces the wrong strategy.
A tender is close to a textbook sealed-bid auction, which makes it unusually amenable to the analysis. The useful questions are who else is credibly able to bid, what the buyer is actually optimising for as against what the documents say, and whether the evaluation criteria have been drawn to favour an incumbent. The most valuable conclusion is often not how to bid but whether to bid at all, since the cost of preparing a losing submission is real and recurring.
No, and treating it as prediction is the main way it is misused. It identifies which outcomes are stable and which moves are self-defeating, given assumptions about what each party wants. Those assumptions are frequently wrong, because competitors have information you do not, are optimising for things you have not guessed, and sometimes act irrationally. The value lies in exposing your own assumptions and in ruling out moves that fail under any reasonable reading of the other side.
Assuming the other side shares your objective function. A competitor cutting prices may be pursuing market share, defending a relationship, clearing inventory, meeting an internal target unrelated to profit, or acting on a strategy that will not survive their next board meeting. Analysis built on the assumption that they optimise the same thing you do will be internally consistent and wrong. Where possible, ask what would have to be true for their behaviour to be sensible, and check whether any of those things are.