A new market is not a mirror. It has its own rules. Those who ignore them will pay dearly for their mistakes.
Many German SMEs underestimate how strongly purchasing decisions are influenced by culture. Starbucks in Australia is an example that can be easily “translated” to other sectors such as industry, mechanical engineering, plant engineering, software and retail. Because the pattern is always the same: You believe your recipe for success is universal. The market says: no.
What went wrong back then – the recurring pattern
Australia has a distinctive café culture. In the early 2000s, Starbucks entered a market that was already demanding. Marketingmag (Australia) describes the key mistake: Starbucks adopted the US expansion model with store clusters and quickly opened many locations – contrary to slower, test-based market entry strategies.
Added to this was a positioning problem: coffee was not “new” in Australia. Many consumers had local alternatives, often with high quality and a different café experience. This does not make “American success” worthless – but not automatically transferable.
The second part of the story: retreat, adaptation, cautious expansion
Starbucks is still active in Australia today. In 2024, The Guardian reported that Starbucks Australia had posted a loss in the last financial year, but was sticking to its strategy of improving the customer experience and store design, among other things, and continuing to expand.
World Coffee Portal reported in 2024 that Starbucks Australia had achieved the “right size and scale” after turning a profit for the first time in the previous year and was planning further openings (e.g. in Perth).
It doesn’t matter whether you like Starbucks. What matters is the management lesson: A market entry can fail – and still work later if you learn and adapt.
The SME translation: 6 questions you need to answer before every step abroad
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What is our local peer group?
Who will we be compared to in 10 seconds?
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What is our local role?
Premium? Price/performance? Specialist? Niche?
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Which parts of our model are non-negotiable?
And which ones need to be localised (service, package, pricing logic, distribution)?
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How do we test without losing face?
Pilot, partners, trade fair lead test, “beachhead” region.
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How do we measure after 90 days?
Not just turnover. But also: conversion, repeat purchases, complaints, service costs, contribution margin.
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What is our pace?
Too fast makes mistakes expensive. Too slow makes learning slow.
Where AI-supported research helps – and where humans remain essential
AI can very quickly provide an outside perspective:
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Pricing logic, competitors, regional clusters, customer testimonials, topics in the press/forums, job advertisement signals.
Humans then have to do what AI cannot:
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Conducting conversations, testing hypotheses, adapting offers, setting stop criteria.
What SMEs can learn from this
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Expanding abroad is not a roll-out. It is a learning process.
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Speed is a decision – not a gut feeling.
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Success is more likely if you pilot, measure and adjust.
