Find Similar Importers to Your Best Customer

Start with a proven customer

Choose a customer that buys the right product and has a clear shipment history. Capture the product category, destination market, origin countries, buying cadence, and the signals that made the account valuable. Bill of lading data shows which of these signals a shipment record can support.

Build the lookalike profile

1. Save the customer as an ideal profile.
2. Define the products and HS-code level that matter.
3. Add destination, origin, and recent-activity constraints.
4. Decide which signals should increase or reduce the match score.

Score and review similar importers

Rank candidates by product fit, corridor fit, and trading activity. Review the evidence behind each match, remove existing customers, and confirm a reachable decision-maker before outreach. The same checks apply when you find importers by HS code.

Expand without losing focus

A lookalike list should make your next research step faster, not replace qualification. Keep the highest-scoring companies, record why they match, and test a small outreach batch before scaling.

Lookalike research works best as one step in a wider buyer search. If you are starting from a product rather than a customer, find importers by HS code first, then use your best match as the seed. For the full workflow from offer to outreach, see how to find buyers for export.

Worked example: one customer, five lookalikes (hypothetical)

The companies below are invented to show the method. They are not real accounts or search results.

Say your best customer is a specialty food distributor in Germany. Its shipment records show it imports unroasted coffee under HS 0901.11, buys from more than one origin, receives goods through a North Sea port, and orders on a regular cadence across the year. That gives you four signals to match: product, origin mix, destination, and buying rhythm.

A lookalike search on that profile might return five candidates. For each one, record what the evidence shows and what is still unknown:

• Company A (Netherlands): same HS code and a similar origin mix, with shipments spread across recent months. The strongest match; check whether it roasts in-house or resells.
• Company B (Germany): same HS code, but records show only one origin. Product fit is good; confirm whether it is open to a new origin before outreach.
• Company C (Belgium): imports roasted coffee as well as green beans. Partial product fit; keep it if your offer covers both, otherwise move it to a research queue.
• Company D (Denmark): a close match on product and port, but its latest observed shipment is older than the others. Verify that it is still active.
• Company E (Germany): a strong product match that turns out to share a parent group with your existing customer. Remove it from the outreach list and note the link.

The result is not five leads to email. It is two clear priorities, two accounts to research, and one exclusion, each with a reason you can explain.

What to record for each match

Write down the evidence date, the HS code and product description that matched, the origins and ports involved, and anything that weakens the match. A short note such as "same code and corridor, buying cadence unclear" is more useful than a score on its own, because the next person can check it. Keep excluded companies on the list with the reason, so they are not added back by the next search.

Common mistakes

• Matching on company size or industry alone. Firmographic similarity does not show that a company buys your product.
• Treating an old shipment as current demand. Historical records show past activity, not a purchase commitment.
• Skipping the overlap check. Subsidiaries, sister brands and existing customers often appear in lookalike results.
• Contacting everyone at once. Test a small batch first, then adjust the profile based on which matches lead to real conversations.

For agent builders

The same lookalike step is available from the EximAgent CLI as eximagent companies similar (uses credits). Run eximagent companies similar --help for the options, and see the CLI docs.

Use EximAgent's Analyst for lookalikes

EximAgent's Analyst agent for trade data and shipments can suggest lookalike companies based on a proven customer, as a starting list for your own qualification. It supports prioritization; exporters still make the final qualification decision.

Explore lookalike matching in the docs.

Start from your best customer. Look the company up in the company directory to see its shipment activity, top products and trade partners, then look for importers with the same pattern.