Export failure rate: why most market entries fail and what changes the outcome


June 15, 2026
Most failed China entries fail in the same phase. Not during execution, when the problems show. During design, before execution starts, when assumptions go into the model untested. By the time the company meets the difference, the money is spent.

By Niels Boje Lund, Shaeps, updated 2026.09.08
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Half of SME export attempts fail. China is widely regarded as one of the hardest major markets to enter.

But that pattern says less about how hard China is than about how entries are designed.

Most failures happen in the same phase. Not during execution, when the problems become visible. During design, before execution starts, when assumptions go into the commercial model without being tested.

The company plans for a market it has researched rather than one it has engaged with. By the time it meets the difference, the money is spent and the structure is built.

So the useful question is not "are our odds better than average?" It is: which decisions produce the failures, and which of those can you make differently before you spend?

What failure actually means here

A failed entry is one that does not reach the commercial outcome the company set for itself. Either it leaves the market, or it carries on at a much smaller scale than it planned for.

In China that reflects more than the difficulty of the market. It reflects a mismatch between how most companies approach entry and what a successful entry actually needs.

The failures are not random. They cluster in four places. Partner selection. Timing. The commercial model. Capital planning.

Every one of those is fixable.

Why the standard process produces this

The conventional way into a new export market runs in a line. Research the market. Write a strategy. Adapt the product and the model. Execute.

That has a built-in flaw for a complex market.

The inputs that matter most to a strategy cannot be assessed by research. Whether a specific partner is genuinely aligned. Whether your pricing works commercially. Whether the channel converts the way you predict.

Those can only be found out by engaging with the market.

The linear process puts the money into research and planning, then commits to execution on the strength of the plan. When the plan's assumptions turn out wrong, and in China they often do, the capital is not recoverable and the model cannot be redesigned without starting again.

The alternative is staged entry. Set up only the minimum you need to test your assumptions in the market, before you commit to the full structure.

That is not a preference for being agile. It is a direct answer to where the failures actually happen.

The six patterns

Six things produce most China entry failures.

The partner assumption. You find a Chinese partner who looks credible from outside and build the entry around them. They underperform. Not because they are dishonest, but because what motivates them is not what you need from the market. A rigorous partner assessment predicts this. Testing alignment before you commit prevents it.

The channel assumption. You project your sales through a channel that looks reachable from outside. A major platform. A national distributor. A retail chain. Then you find that the real access, the real cost and the real terms make your numbers impossible. A limited channel test before you design around it removes this.

The timing assumption. You commit capital before the conditions you are entering for are in place. Before you have the regulatory approvals. Before the policy you are relying on has settled. Before you have built the relationships your sales cycle needs. Each of those is visible in advance if your assessment covers it.

The capital assumption. You plan for traction on a home-market timeline. The real timeline in China is longer, because relationships take longer, regulators take longer, and Chinese buyers want to see commitment before they commit their own budget. A capital plan that runs out before traction forces bad decisions. You leave before the model had time to work, or you cut investment at the moment it matters most.

The organisational assumption. China gets approved strategically but never prioritised operationally. The local work is under-resourced and cut off inside the company. Impatient executives. Split ownership. Enthusiasm that fades after the first year. These are not market risks. They are internal design failures, and they produce the same result as a wrong partner.

The proposition assumption. You assume what works at home transfers with some localisation. Often the competition, the buying criteria or the channel economics in your Chinese segment make it unworkable. Test the proposition against the real competitive picture before you build a model around it.

What changes the outcome

The failure rate is not a fixed property of China. It is a product of how the decisions get made.

Companies that enter with tested assumptions get materially different results from companies that enter with untested ones.

So the question is simple. Which assumptions in your model have been checked against actual Chinese conditions before you fund them?

Partner quality and alignment can be assessed before you commit. Channel economics can be evidenced by engaging the market. Fit in your specific segment is testable. The regulatory route and its timeline can be mapped before you deploy capital.

None of those need a full entry to establish. All of them let you design around evidence instead of assumption.

The companies with the best record in China are not the ones with the most money at the start. They are the ones that test before they build.

What to do about it

There is one direct consequence.

The most important investment in a China entry is the validation that happens before the model is fixed. Not the launch spend. Not the infrastructure. The validation.

Almost all the risk sits in the design phase, in the assumptions your model rests on that nobody has checked.

So the question is not what the failure rate is in your sector. It is which assumptions in your plan are still untested.