Lead scoring for logistics: how to score carriers, brokers, and 3PLs with public fleet data
Freight companies sort themselves by segment, authority, and fleet size, and the regulator publishes most of it. Here is how to turn that public record into an account score your reps can read.
Lead scoring for logistics ranks carriers, brokers, 3PLs, forwarders, and warehouse operators by how closely each matches the customers you win and by whether something in their operation just changed. The scored record should usually be the account, because fleets buy as companies. Much of the fit data is public: the FMCSA publishes authority, power units, and drivers for every registered carrier.
Why generic lead scoring fails in logistics
Trucking is a large market of small companies. FMCSA’s registration statistics counted 2,122,441 carriers in its August 28, 2026 snapshot. Its 2024 Pocket Guide (Table 1-11) counts 787,189 interstate carriers and intrastate hazardous materials carriers with recent activity in 2023. Of those, 418,526 ran one power unit and 710,386, about 90%, ran 10 or fewer. Only 5,062 ran more than 100.
A generic model misreads it in four ways.
| A generic model assumes | In logistics | Effect on the score |
|---|---|---|
| “Transportation” is one industry | A carrier, a broker, a 3PL, a forwarder, and a warehouse operator run different businesses on different systems | One industry value ranks nothing |
| Headcount shows size | Size is power units, drivers, loads, or square feet. A broker with a large book of freight can have 30 employees | Large operators score as small |
| Fit data has to be bought or guessed | The regulator publishes fleet size, authority, and safety records | The model ignores the best free data in the market |
| Demand is steady | Rates and volumes move in cycles, and peak season freezes change | A carrier that goes quiet in the fourth quarter looks uninterested |
A profile that reads “logistics companies with 50 to 500 employees” names no segment, authority, or fleet size. Rebuild your ideal customer profile around those with our ICP scoring guide.
Fit factors that matter in logistics
| Fit factor | Why it matters | Where the data comes from |
|---|---|---|
| Segment (asset-based carrier, broker, 3PL, forwarder, warehouse operator, shipper with a private fleet) | Each buys different products, and few vendors serve more than two of them | FMCSA entity type and operation classification, website |
| Operating authority | Shows what the company is registered to do: haul for hire, broker, or forward | FMCSA records, including authority status |
| Fleet size: power units and drivers | The clearest size measure for a carrier. Sets seats, devices, and budget | FMCSA Company Snapshot and census file, self-reported |
| Modes and freight type (truckload, LTL, intermodal, refrigerated, hazmat, ocean, parcel) | Workflows, margins, equipment, and rules differ by mode and cargo | Website, cargo carried in FMCSA records, discovery |
| Lanes and geography | Regional, long-haul, cross-border, and port operations differ | Address in public records, terminal pages, discovery |
| Systems they run (transportation or warehouse management system, electronic logging devices, telematics) | The TMS, ELD, or telematics unit you would connect to, displace, or run alongside | Discovery calls, dispatcher and driver job postings that name a TMS or ELD, technology data providers |
| Freight under management, loads, or warehouse square footage | The size measure for brokers, 3PLs, and warehouse operators, which own few trucks | Facilities pages, press releases, discovery |
What the FMCSA publishes, and how to use it
- Company Snapshot. FMCSA’s SAFER system describes it as “a concise electronic record of a company’s identification, size, commodity information, and safety record”, free, one carrier at a time. Its fields include entity type, operating status, power units, drivers, the MCS-150 form date, operation classification, cargo carried, inspections, and crashes.
- Bulk files. FMCSA’s open data program publishes the Company Census File of active, pending, and inactive registered entities, plus authority, insurance, inspection, and crash files, at no charge.
- Authority. FMCSA requires interstate operating authority for for-hire carriers, and its open data page lists brokers and freight forwarders among those that must hold it. Private carriers that transport their own cargo do not need it, which separates a shipper’s private fleet from a for-hire carrier.
- Ocean forwarders and NVOCCs. The Federal Maritime Commission publishes a list of active ocean freight forwarders and non-vessel operating common carriers.
Three cautions. Fleet counts are self-reported and can be old: FMCSA requires registered entities to update their information every two years, so read the MCS-150 date beside the count. Identifiers are changing: FMCSA is moving registration to its new Motus system and has proposed no longer assigning MC Numbers, so key your records on the USDOT number. And missing data contributes 0, so brokers, forwarders, and warehouse operators, whose power units field is empty, need their own size factor or their own model.
Timing and buying signals in logistics
| Signal | What it suggests | Where to find it |
|---|---|---|
| New operating authority | A new company or line of business that needs systems and compliance help | FMCSA authority files |
| Power unit or driver count rising between filings | Growth past what current tools were set up for | Census file snapshots you store yourself |
| Merger, new terminal, or new warehouse | Systems to merge, or a site to equip | Press releases, job postings by location |
| Hiring dispatchers, operations, or safety roles | Headcount is growing in a team that would use your product | Careers page, job boards |
| Safety event or compliance review | A reason to revisit driver training, maintenance, or in-cab equipment | Company Snapshot, FMCSA’s Safety Measurement System, which limits public display for property carriers |
| Insurance filing changed or canceled | A new insurer, a coverage change, or authority at risk | FMCSA insurance and authority history files |
| Regulatory deadline | A compliance date the carrier or broker cannot move | FMCSA rule pages |
| Freight market turn | Tight markets fund growth projects. Soft markets fund cost projects | BTS Freight Transportation Services Index |
New entrants. FMCSA monitors a new carrier’s safety performance for a period of 18 months. For safety and compliance vendors, the registration date opens a defined window.
Regulatory deadlines. FMCSA’s guide to its broker and freight forwarder financial responsibility rule set a single compliance date of January 16, 2026 and $75,000 of financial security. Store such dates as properties, and point prospects to the regulator for what a rule requires.
The freight cycle. The BTS Freight Transportation Services Index stood at 134.9 in June 2026, down 1.7% from June 2025. It will not rank accounts, but it tells you which message fits the quarter.
Read safety data as a sign that a carrier may want what you sell, never as your verdict on the carrier. The model scores companies and business contacts only, and never uses personal data about individual drivers.
New authority and a fleet jump lose meaning as the months pass, so cut each signal’s weight at 30, 60, and 90 days. Each type, from authority filings to insurance changes, has an entry in our buying signals glossary.
The logistics buying group, and how to score coverage
Forrester’s finding that 95% of B2B purchases involve three or more people holds for freight too.
| Role | What they care about | Part in the decision |
|---|---|---|
| Owner or executive | Margin per mile, cash, insurance cost, driver retention | Signs off. In a small fleet, nobody else has to |
| Operations lead | Utilization, on-time service, empty miles | Backs or blocks the change, then runs the rollout |
| Dispatch | Fewer calls and less re-keying per load | On it all shift. If dispatch drops it, renewal is lost |
| Safety and compliance | Inspections, hours of service, audit readiness | Evaluator for anything touching drivers or trucks |
| Fleet maintenance | Uptime, repair cost, inspection defects | Evaluator for equipment, telematics, and parts |
| Finance, and IT where it exists | Billing speed, settlement accuracy, integrations | Budget holder and reviewer |
| Drivers and warehouse staff | Whether the tool works on a phone or scanner mid-shift | Users with no vote and a veto in practice |
Treat coverage as a separate factor on the carrier or broker account: which of the roles your product touches are in your CRM as contacts, and which of them showed activity in the last 90 days? In a 10-truck fleet one person holds several of these roles, so one engaged owner can be full coverage.
Disqualifiers specific to logistics
- Wrong segment for your product. A broker in a carrier model, or a warehouse operator in a fleet model.
- USDOT status inactive, or operating authority not active when your product assumes for-hire work.
- Below your minimum fleet size. One-truck operators are more than half of the carriers in FMCSA’s fleet size table.
- Stale registration. An MCS-150 date years old makes the fleet count unreliable.
- A competing TMS or telematics system bought or renewed recently. Subtract today and log the date it comes up for renewal.
A worked example: scoring a demo carrier
The seller offers dispatch software to for-hire truckload carriers running 50 to 500 power units. The demo account is a regional dry van carrier with active authority, 137 power units, and 155 drivers, running lanes in five neighboring states. It renewed a competing TMS this year.
- Segment and authority (for-hire truckload) 30% 9.1
- Fleet size (137 power units) 25% 8.6
- Modes and lanes 20% 7.4
- Systems they run 20% 6.2
- Competing TMS renewed this year 5% -3.8
The math: 9.1 at 30% is 2.73, 8.6 at 25% is 2.15, 7.4 at 20% is 1.48, and 6.2 at 20% is 1.24. That adds to 7.60. The disqualifying factor subtracts 3.8 at 5%, or 0.19, for a fit score of 7.4 out of 10.
Its engagement and timing, read separately:
| Signal (last 90 days) | Counts | Why |
|---|---|---|
| Power units up from 118 to 137 between census snapshots | Strongly | Growth of this size strains dispatch first |
| Posted openings for three dispatchers | Strongly | More dispatchers means more seats on the software you sell |
| Operations lead booked a demo | Strongly | The rollout owner asked to see the product |
| Four drivers opened marketing emails | Not at all | Email opens prove little, and drivers do not choose dispatch software |
Plays by score band, with freight seasonality
| Account fit | Timing and engagement | Play | Season note |
|---|---|---|---|
| 8 and up | 7 and up | Rep calls within one business day and cites the fleet change or the dispatcher hire | During peak, take 20 minutes now and book the rollout for after it |
| 8 and up | Below 7 | Named-account outreach to the fleet owner and the head of operations | Hold demos and pilots in the slow weeks after peak |
| 6 to 7.9 | 7 and up | SDR follow-up in the same week. Check segment and power units against the snapshot | Qualify today, hold the evaluation until peak has passed |
| 6 to 7.9 | Below 7 | Nurture with content for the carrier, broker, or 3PL segment | Send planning content before fleets set next year’s budget |
| Below 6 | Any | No rep time. Handle inbound questions only | No peak rule |
Peak depends on the freight: retail and parcel networks are busiest before the holidays, and produce haulers follow harvests. Record each segment’s busy months in a property your workflows can read when they choose the play. The band cutoffs above are placeholders until your own conversion data sets them.
How to measure and tune the model
Once a quarter, check whether the carriers and brokers you scored highest became customers more often than the rest.
| What you see | What it usually means | What to do |
|---|---|---|
| Carriers at 8 and up become customers clearly more often | Segment, authority, and fleet size are doing their job | Keep checking each quarter |
| Strong brokers and 3PLs sit below 6 | Power units are empty for them, contributing 0 | Build a second model sized by freight under management |
| Conversion looks the same in every band | The weights do not distinguish won fleets from lost ones | Reweight toward segment, authority, and fleet size |
| Timing scores spike in the fourth quarter but meetings do not follow | Signals fire when operations cannot evaluate | Route by busy months and shorten decay |
| Carriers scoring 8 and up turn out smaller than recorded | Fleet counts came from old filings | Refresh from the census file and subtract for stale MCS-150 dates |
Limit each revision to one or two weights. The won and lost comparison that should drive them is laid out in the five-step framework for building an ICP scoring model, and a carrier model or a broker model can be drafted in our account scoring worksheet before you build it.
Where BoostIdeal fits
For HubSpot teams whose buyers are carriers, brokers, and 3PLs, BoostIdeal is the scoring engine, and three things about it matter.
- A person on your team builds the model. Segment, authority, power units, modes, and systems are entered as factors, each with a weight, and the weights sum to 100. AI helps you analyze the data and draft a starting point, and your team decides the logic.
- Carriers, brokers, and every other record can be scored. Leads, contacts, accounts, and custom objects all qualify, and one record can be scored with data from another. An account can be scored by how many contacts it has and their job titles, and a carrier model and a broker model can run side by side.
- The reasons travel with the score. A score out of 10 and its factors write back to HubSpot properties for your own workflows, lists, and agents to act on. Scores recalculate hourly by default, and in near real time with webhook sync.
BoostIdeal does not pull FMCSA data itself. It scores what sits in HubSpot or in a CSV you upload, so power units, authority status, and MCS-150 dates reach it from your own research or a data provider.
When it is not the right fit. If your carrier and broker data lives outside HubSpot and you do not want to work from CSV uploads, look elsewhere. The same goes if you want a vendor to hand over a number you never question.
Frequently asked questions
What is lead scoring for logistics?
It is a way to rank carriers, brokers, 3PLs, and warehouse operators so sales works the best ones first. The score combines fit, such as segment, operating authority, fleet size, and systems, with timing signals such as new authority, fleet growth, and hiring.
Should I score logistics leads or accounts?
Accounts first. A fleet buys as a company, and the strongest data, such as power units and authority, belongs to the company. Then score contacts to choose who to call.
Where can I find fleet size data for trucking companies?
The FMCSA publishes it. The SAFER Company Snapshot shows power units and drivers for one carrier at a time, free of charge, and the Company Census File covers registered entities in bulk. Counts are self-reported, so check the MCS-150 form date beside them.
What are the best buying signals when selling to trucking companies?
New operating authority, power unit or driver counts rising between filings, mergers, new terminals, and hiring for dispatch, operations, or safety roles. Several of these can be read from FMCSA’s public files.
How is selling to 3PLs and brokers different from selling to carriers?
Brokers and many 3PLs own few or no trucks, so power units and drivers say little about them. Size them by freight under management, loads, or warehouse space. Most teams need a separate model for each segment.
How does peak season affect logistics lead scoring?
Peak alters your timing and leaves the fit score where it was. A carrier fits equally well in March and November, but an operation at peak has little time to evaluate anything. Store busy months by segment and use them to time demos and go-live dates.
Is FMCSA data enough to build a logistics scoring model?
No. It covers identity, authority, fleet size, and safety records for registered carriers, brokers, and freight forwarders. It does not show systems in use, freight under management, or warehouse space. Fill those gaps from discovery and data providers.
The takeaway
Score the carrier, broker, or 3PL as a company, start with what FMCSA already publishes, and plan around peak season. Build fit from segment, authority, fleet size, modes, and systems, with the filing date beside every fleet count. Build timing from new authority, fleet growth, and hiring, and decay it over 90 days. Give brokers and warehouse operators their own size measure, and verify quarter by quarter that your highest-ranked fleets are the ones that buy.