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How I think about trade data in real strategy work

  • Writer: Delanie West, MBA
    Delanie West, MBA
  • Jan 29
  • 1 min read

I used Panjiva whenever I was pitching into a new planogram, studying a competitor’s new product launch, or sourcing a specific supply-chain partner. It allowed me to validate assumptions with real shipment data, not guesses.


When I needed to understand how a competitor was actually operating, not how they marketed themselves, I used Panjiva. It gave me visibility into suppliers, volumes, sourcing patterns, and operational scale, the kind of insight that directly informs product development, pricing, and go-to-market decisions.

I did not use it in isolation.


For early-stage research, market framing, and hypothesis testing, I also regularly leaned on free, public trade datasets, including:


UN Comtrade


World Integrated Trade Solution


WTO Data Portal


International Trade Centre (Trade Map)


Eurostat


USITC DataWeb


Those sources helped me pressure-test assumptions before moving into deeper, company-level intelligence. Good research is not about having every tool. It is about knowing which signal you need, when.



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