Once you can search by company name, competitive research stops being inference and starts being observation.
Most competitive intelligence is assembled from announcements, which arrive after the decision has been made. A shipment record arrives when the decision is being executed, which is considerably more useful.
Before any deviation means anything, you need to know what normal looks like: which chapters they ship, which origins they buy from, typical consignment size, typical cadence, and which ports they use. Two or three years of history is the minimum.
| Signal | What it usually means |
|---|---|
| A new origin country | A sourcing change in progress, often before it is contracted |
| A new HS chapter | A product line being launched or a category being entered |
| A new destination | Market entry, visible before any local presence exists |
| A sustained volume shift | Capacity being added or a contract being won or lost |
| A change of port | Frequently precedes a change of supplier or of logistics partner |
Establish two to three years of baseline before treating any deviation as a signal. Corroborate before you act on it.
Margin, contract terms, customer names on the domestic side, and intent. A record shows what moved, not why. Treat it as a strong observation to be corroborated, not as a conclusion — one unusual month is usually just an unusual month.
The mechanics of setting this up are on the competitor tracking page.
A competitor’s record is only informative relative to its own history, so the first piece of work is establishing what normal looks like. That means at minimum: which chapters they ship and in what proportion, which origins or destinations they use, typical consignment size, typical monthly cadence, which ports they clear through, and the declared unit value band they operate in. Two to three years of that, written down, is the baseline. Without it every observation is unanchored.
The baseline also tells you which signals will be legible for this particular company. A competitor with a narrow product range and steady monthly shipments will show a new origin very clearly. One with a broad range and lumpy volumes will not, and for them the informative signal is more likely to be a new chapter or a new destination than a volume change.
| Observation | Benign explanation | Significant explanation |
|---|---|---|
| New origin country | A price test or a second source for continuity | A supply base being moved |
| New HS chapter | A sample or an internal requirement | A product line being launched |
| New destination | A one-off order | Market entry in progress |
| Volume up sustained | Restocking after a lean period | Capacity added or a contract won |
| Volume down sustained | Inventory correction | A contract lost or a plant issue |
| Port change | A forwarder change | A supplier change, which usually follows |
Trade data tells you what moved. It does not tell you margin, contract length, payment terms, whether a relationship is exclusive, or why any decision was made. It also misses everything domestic: a competitor doing most of its business inside its own market will look far smaller than it is. Analysts who forget this produce competitive assessments that are internally consistent and externally wrong.
It is also worth being disciplined about corroboration. A single anomalous period is noise far more often than it is signal, and acting on it — repricing, reallocating capacity, briefing a sales team — is expensive when the next period reverts. Require persistence before you act, and say explicitly how confident you are when you report.
First appearances — a new origin, a new chapter, a new destination — carry far more information than a volume figure moving within its usual band. Set your attention at the boundaries of the baseline.
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.
Where the jurisdiction publishes counterparty names, yes. Coverage varies by market, and name variants mean a company usually has to be assembled from several spellings before its history is complete.
As fast as the market's reporting lag, typically thirty to sixty days after clearance. That is still normally ahead of any public announcement.
Then trade data sees only their imported inputs and any exports, not their domestic business. Read what you can see and be explicit about what you cannot.
The records are published by customs authorities and are used routinely for market research and due diligence. What you do with them is subject to the same competition and data rules as any other commercial information.
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 Seasonality in trade data, Company names in trade data and Negotiating with unit price data. 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.
Almost every traded product has a buying calendar.
Learn more ›The same business appears under a dozen spellings across declarations.
Learn more ›A declared unit value is not a quotation, but it is the most credible number you can put on a table that you did not get from the other side.
Learn more ›