How freight brokers find new shippers
Freight brokers find shippers through referrals, lane-based research, import records, industry databases, cold outreach at scale, and — most of the time — by hand, in twenty browser tabs. Each method trades rep hours against list quality, and the reason none of them feels solved is that no general data tool distinguishes a company that ships freight from a company that writes about shipping.
How do freight brokers find new shippers?
Most brokerages use some combination of seven methods: referrals from existing customers, working a lane they already have capacity in, import and customs records, general B2B contact databases, LinkedIn, bought lists, and manual research. Manual research is the real market leader. It is also the one that consumes the most selling time, which is why it never appears on anyone's list of tools.
What follows is an honest account of each, written from four years building the systems a freight brokerage runs on — including the internal tooling its reps used to build lists. The pain here belongs to those reps rather than to me, and that is worth saying plainly: prospecting was never my job, but it kept becoming my problem as the desk grew.
The seven methods, and what each one actually costs
| Method | Quality of list | Rep time | Where it breaks |
|---|---|---|---|
| Referrals from existing customers | Highest | Minutes | Does not scale, and runs dry exactly when you need growth |
| Working a lane you already cover | High | Hours per lane | Requires knowing which companies ship in that lane, which is the hard part |
| Import and customs records | High for importers only | Hours | Ocean and air import data says nothing about domestic truckload, and misses every domestic-only manufacturer |
| General B2B databases | Mixed | Hours of cleaning | Returns companies, not shippers. Gives headquarters, not plants. Title filters fail below enterprise size |
| LinkedIn and Sales Navigator | Good for people, poor for companies | High | Excellent at finding a Transportation Manager once you know the company. No help choosing the company |
| Bought lists | Low and aging | Low upfront, high later | Sold repeatedly, rarely verified as shippers, often stale on contacts |
| Manual research | High if done well | Highest by far | It works. It costs a rep most of a day per usable list |
Why a search for manufacturers returns 3PLs
General B2B databases index companies by industry code, headcount and keywords. A freight broker, a trade association, an industry publication, a logistics consultancy and a manufacturer all discuss the same subject in the same vocabulary, and several of them share industry codes. So a search for a manufacturing vertical returns all of them, and nothing in the filter distinguishes a company that ships goods from a company that writes about shipping goods.
This is not a data accuracy problem. The records are usually correct. They are answering a different question than the one a broker is asking, and no combination of filters in the interface converts one question into the other.
The test that separates them is simple and nobody sells it: does this company own physical goods and pay to move them? Everything else — industry code, headcount, keyword match — is a proxy that fails on exactly the companies most likely to pollute a freight list.
Why headquarters is the wrong address
Even when a database returns a genuine shipper, it returns the corporate address. Corporate does not book trucks. The plant does, and the distribution center does, and they are frequently in different states from the head office — sited near rail, a port, or an interstate, which is precisely what makes them interesting to a brokerage with capacity in that region.
For a broker with trucks out of Laredo, a Chicago headquarters address is unusable. The same company's distribution center in South Texas is a reason to call today. Facility data is the highest-value field in freight prospecting for this reason, and it is the one almost nobody sells well.
Why the contact is usually wrong too
The title that controls carrier selection changes with company size. Above roughly 500 employees it is a VP or Director of Supply Chain. Between 150 and 500 it is a Transportation or Logistics Manager. Below 150 there is often no dedicated role at all, and the decision belongs to an Operations Manager, a Plant Manager or the owner.
A static title filter cannot express that. Filter on VP-level titles and the bottom half of the market comes back with empty contact rows — and the bottom half of the market is where a 2 to 40 seat brokerage wins most of its business. We published the full taxonomy, including the headcount thresholds, in a separate article.
What a good prospecting workflow looks like
The method that consistently produces usable lists is not a better filter. It is starting from an account you already win with, and looking for companies that ship the same kind of freight.
- Pick your best current customer in a vertical — ideally one of the accounts already shipping the most with you.
- Work out what that company actually makes and ships, in operational terms rather than marketing ones. Not "a leader in packaging solutions", but "extruded plastic film, shipped palletised out of two plants in the Southeast".
- Find companies that ship the same commodity at a similar scale, and verify each one is a real shipper rather than a broker, carrier, association or publication.
- Get the facility addresses, not the headquarters, and match them against the lanes you have capacity in.
- Find the contact whose title fits that company's size, rather than the most senior title available.
- Call into the vertical you already run freight in.
That last step is the one that changes the call, and it is underrated. A rep prospecting into a vertical their desk already serves knows the market, can anticipate that industry's shipping problems before the prospect raises them, and can open with "I already move freight for a company like yours." That is the only cold-call opener that is not really cold, and no filter-based tool can produce it, because a filter does not know which accounts you already win.
Why the vertical has to be the objective, not a tiebreaker
When we built this as a product, the first version treated the industry as one criterion among several freight-qualification rules. The results were real shippers and mostly the wrong ones: a pharmaceutical seed returned food manufacturers, fastener distributors, auto parts companies and a tropical plant nursery. Every one of them genuinely ships freight. None of them was a lookalike.
The cause was structural rather than a bad model: five hard freight criteria against one line of description meant the search optimised for "ships freight" and treated the industry as a preference. Making the vertical the search objective, and having each company report its own industry so drift could be measured, took the same seed from 13 of 25 on-industry to 25 of 25 — across 16 distinct industry labels, so genuinely differentiated rather than the requested phrase echoed back. Measured August 2026 across five seed companies.
The general lesson holds whatever tool you use: if your prospecting method optimises for "ships freight" rather than "ships freight like my customer does", you will get a list of real shippers you have no particular reason to call.
How to judge a prospecting tool before you buy it
- Run a search in a vertical you already know well. You will spot the wrong answers instantly, and you cannot in a vertical you do not.
- Paste in a competitor — another brokerage, or a 3PL. A tool that returns your own competitor as a prospect is telling you what the rest of the list is worth.
- Check whether the addresses are plants or head offices. Search one company you know and see which address comes back.
- Look at the contact rows for the smallest companies on the list. Empty rows there mean the title logic does not degrade.
- Ask what happens at renewal. This industry has been burned by annual contracts sold on a demo that used the vendor's best vertical.
The honest summary
There is no method that removes the work entirely. Referrals are still the best source of business and always will be. What is worth automating is the part that consumes rep hours without using rep skill: checking whether a company actually ships, finding the facility rather than the head office, and picking the right title for the size of the business. That is a research problem, and it is the part a rep should never have been doing by hand.
Common questions
- How do freight brokers find new shippers?
- Through referrals, lane-based research, import and customs records, general B2B databases, LinkedIn, bought lists, and manual research. Manual research is the most common and the most time-consuming. The most effective approach is to start from an existing customer and look for companies that ship the same kind of freight, rather than filtering a database by industry code and headcount.
- What is the best way to build a freight broker prospect list?
- Start from an account you already win with, identify what that company physically makes and ships, then find companies shipping the same commodity at a similar scale. Verify each is a real shipper rather than a broker or 3PL, use facility addresses instead of headquarters, and choose contact titles that match each company's size.
- Why does ZoomInfo return 3PLs when I search for manufacturers?
- Because it matches on industry codes, headcount and keywords, and a 3PL's website contains the same freight vocabulary a manufacturer's does — sometimes under overlapping industry codes. Nothing in the filter distinguishes a company that ships its own goods from one that arranges shipping for others.
- Are import records useful for finding shippers?
- They are genuinely useful for importers, and useless for everyone else. Customs data covers ocean and air imports, so it says nothing about domestic truckload volume and misses every domestic-only manufacturer. It is a good source for a specific slice of the market rather than a general prospecting method.
- How long should building a prospect list take?
- Checked properly by hand, verifying the company ships, finding the right facility and identifying a contact whose title fits the company size takes roughly a minute or two per company — so a list of a few hundred names is most of a working day. That time comes directly out of selling hours, which is why it is the part worth automating.