Before you commit to a market, the customs record already tells you whether demand exists, who serves it, and what it pays.
Total import volume for your HS code, and whether it is growing or shrinking over three years.
The origin countries and named exporters currently supplying that market.
Declared unit values by origin, which tells you the band you must compete in.
Whether a handful of importers control the volume or it is spread across many buyers.
A market where five importers take eighty percent of volume is a relationship market — long sales cycles, high switching costs, but durable once won. A fragmented market is faster to enter and faster to lose. Neither is better; they demand different go-to-market plans.
A single year of data tells you the current state. Three years tells you the direction, the seasonality and whether an incumbent is losing share — which is usually where the opening is. Browse markets in the country directory.
Market entry decisions go wrong when the analysis is run in the order that is most interesting rather than the order that is most decisive. Demand is interesting and it is not decisive, because demand you are not eligible to serve is not an opportunity. Run eligibility first — regulation, logistics economics, payment infrastructure and your own ability to support a customer — and only then measure the demand in what survives.
| Stage | Question | Data that answers it |
|---|---|---|
| Eligibility | Can I legally and economically serve this market? | Regulation, freight share of value |
| Demand | Does import demand exist and is it growing? | Three years of import value and volume |
| Structure | How concentrated is the incumbent supply? | Origin mix and its dispersion |
| Price | What band does it clear at? | Declared unit values by origin, recent period |
| Channel | Who are the importers, and what kind? | Named importers and their buying pattern |
| Timing | When does buying actually happen? | Seasonal shape across several years |
The single most useful structural read is how concentrated the incumbent supply base is. One origin at a tight price band means buyers are not shopping and the price is structural — a hard, slow entry. Several origins across a wide band means buyers already compare, already switch and already have a process for evaluating a new supplier. The second market is often smaller and almost always easier, and the difference is invisible in any headline market-size figure.
The compounding argument for sequencing is strong. Certification experience transfers. Documentation becomes routine. A reference customer in one market is credible in the next. Running three entries in parallel forfeits all of that and normally means doing all three at the quality of the worst. One market, taken to a first repeat order, is worth more than three at the pilot stage.
Markets that failed the screen this year may pass next year when a regulation changes or a lane opens. A one-line rationale against each rejection means that reassessment takes an hour rather than starting over.
Everything above is a framework, and a framework is only worth what it survives contact with. The useful discipline is to test each assumption against what consignments actually did, because customs data is one of the few commercial sources where the underlying event — goods crossing a border — physically happened and was documented under legal obligation at the time.
Fix the tariff line before anything else. Every filter, every duty figure and every comparison downstream depends on it.
Learn more ›A single period is a snapshot. Three years separate a trend from seasonality, and let you discount the incomplete recent periods.
Learn more ›Frequency and consistency beat size. A steady mid-scale counterparty is usually a better prospect than an occasional large one.
Learn more ›Declared unit values tell you the range you are entering before you quote into it.
Learn more ›Two failure modes account for most wrong conclusions drawn from trade data, and both are easy to avoid once named. The first is reading the incomplete tail of a series as a decline — authorities publish on a lag and revise afterwards, so the last one or two periods will fill in after you look. The second is reading a value movement as a demand movement, when declared value can move because volume moved, because unit price moved, or because the product mix inside a tariff line changed.
Customs data covers goods that crossed a border. It does not cover services, domestic trade, margin, contract terms or intent. Treat it as a dated, quantified observation to corroborate — not as a conclusion that arrives finished.
The difference between teams that get value out of trade data and teams that ran one interesting project is almost never analytical sophistication. It is whether the work became a routine. A saved query reviewed weekly, a short written note against each counterparty you assessed, and a standing habit of checking the period stamp before quoting a figure will out-perform an elaborate one-off study within a quarter, because markets move and a study does not.
The second habit worth building is writing down not just what you concluded but why and when. Records get revised, prices move, and counterparties change behaviour. Six months later nobody remembers whether a supplier was rejected on volume, on price band or on timing, and without that note the assessment simply gets repeated from scratch. A one-line rationale is what converts a list into institutional knowledge, and it costs seconds at the point where the thinking has already been done.
Finally, be explicit with colleagues about the confidence attached to any figure you circulate. A declared value from a complete period, controlled for origin and unit, is strong evidence. The same figure pulled from an incomplete recent period, averaged across a whole chapter, is barely evidence at all — and the two look identical once they are in a slide. Saying which one you have is what keeps trade data credible inside an organisation over time.
Three years, so seasonality and trend can be separated, with the most recent incomplete periods excluded from the trend.
No. A large market supplied by a single origin at a tight price is often harder to enter than a mid-size one where buyers already compare across several origins.
Then the import record measures the gap local supply does not fill. That can still be a real opportunity, but it is a different quantity from market size and should be described as such.
One, taken through to a repeat order. The second is dramatically cheaper because certification, documentation and a reference customer all transfer.
Markets refresh on their customs authority's own release cycle — monthly for most, 45 to 60 days for a few. The most recent one or two periods are always still filling in, so exclude them when you are reading a trend rather than treating the gap as a decline.
Yes. Give us the HS code or a product description and the market you care about, and we will return a sample of live customs records filed against it.
Keep reading
The next questions this one usually raises are covered in Choosing your first export market, Using trade data for market research and Quality and compliance for exports. Each picks up where this article stops, and together they cover the sequence a consignment actually goes through — classification and duty before anything moves, documentation and payment while it moves, and verification of the counterparty before any of it is committed to. Reading them in that order is usually more useful than reading them by topic.
Pick on serviceability first and size second.
Learn more ›A customs record answers questions a survey cannot, and cannot answer questions a survey can.
Learn more ›Regulation is a gate, not a preference.
Learn more ›