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Logistics & 3PL — asset-based or not, contracts or loads

The splits that decide a logistics acquisition — asset-based versus brokered capacity, contract logistics versus transactional freight, specialized versus general — are all published on carrier and 3PL websites: fleet pages, warehouse maps, dedicated-service language, food-grade and hazmat credentials.

Databases mostly track size. We read the splits, across the entire active web, against your exact thesis.

100M+
classified domains screened
700+
industry categories resolved
3
scores per company — 70/20/10
100%
of exclusions documented

A vertical sorted by questions databases don't ask

Databases track logistics companies by size. Every thesis that matters is written in structure language — and structure lives on websites, not in database fields.

Fleet pages tell the truth

Tractor and trailer counts, trailer types, terminal maps, warehouse square footage — carriers publish what shippers verify before awarding lanes.

Contract vs. spot language

Dedicated contract carriage, contract warehousing, and multi-year 3PL relationships are marketed explicitly — separated from transactional freight by the service pages themselves.

Credential-gated end markets

Food-grade certifications, hazmat authority, temperature-controlled capability, bonded facilities, C-TPAT — each credential opens or closes an entire market segment.

Driver recruiting = demand signal

A carrier hiring drivers across five terminals is disclosing demand no financial statement would show. Recruiting intensity is a live operational signal.

The twin traps: ~1 in 10 keyword-perfect candidates is already group-owned under a legacy brand; 20%+ of confirmed fits lack the category’s obvious homepage keywords. Starting from the full classified web is the only defensible census.

Two passes over a carrier's site

Triage clears the noise — load boards, directories, freight-tech shells. Deep extraction reads each survivor against your written thesis.

Pass 1

Triage

  • Operating company or dead/parked?
  • Logistics operator or adjacent noise?
  • In-geography, plausibly independent?

Reduced a 25K-domain industrial slice to ~17,300 in published runs.

Pass 2

Deep extraction

  • Asset posture — fleet vs. network language
  • Revenue quality — dedicated vs. spot
  • Specialization — credentials + vertical depth
  • People — founding year, family language, bench
  • Ownership — parent-group evidence zeroes score
Score

70 / 20 / 10

  • Mandate Fit — 70%
  • Outreach Suitability — 20%
  • Transition Context — 10%

ICP re-runs included; logistics theses sharpen after round one.

Six signals that carry a logistics thesis

Applied from the 15-signal framework; these six decide logistics screens. Quoted evidence and source URLs throughout.

Service-led vs product-led model

Asset-based or not — logistics’ first fork. We read fleet pages, equipment lists, terminal maps, and warehouse footprints, distinguishing owned capacity from partner-network claims by the language itself, quoted. Hybrids are labeled as exactly that.

Recurring-offering indicators

Dedicated contract carriage, contract warehousing, standing 3PL relationships — sites market these commitments because shippers buy stability. A carrier whose site sells spot availability is a different acquisition than one selling multi-year dedicated fleets, whatever their truck counts.

Vertical specialization & documented end-market exposure

Food-grade fleets, healthcare and pharma logistics, hazmat authority, project cargo, e-commerce fulfillment — claims are captured with their supporting credentials and customer evidence. A “food logistics” claim backed by certification language and named food customers scores differently than the phrase alone.

Geographic & branch footprint

Terminal maps, cross-docks, warehouses with square footage, service radii, port and border positions — from the company’s own pages. Owned facilities are distinguished from agent and partner locations, because buying a network and buying a webpage are opposite transactions.

Compliance & regulated-market readiness

Hazmat authority, food-safety certifications, bonded and FTZ facilities, C-TPAT, TSA-adjacent programs — captured as exact claim text. In logistics these are not decorations; they are market access, and a thesis in regulated freight can cut the universe on credential evidence alone.

Acquisition-program / roll-up readiness

Acquired carriers keep names, liveries, and websites for driver retention and shipper continuity — sometimes indefinitely. We read newsrooms, footers, and about pages for the acquisition language and zero the score when it appears, quoted in the exclusion log. In consolidated niches the ratio runs hotter than the ~10% industrial average.

A worked example: dedicated food-grade capacity, screened

Thesis: independent asset-based carriers and 3PLs with temperature-controlled capability, dedicated-contract evidence, and food/beverage vertical depth, eastern US.

Top fit — regional reefer carrier
confirmed fit

Fleet page details reefer trailers and tractor counts; services page leads with dedicated contract carriage; industries page names dairy and beverage customers. About page: “family-owned and operated since 1987” under a named second-generation president. Careers page recruiting drivers hard — capacity pressure made visible.

Hidden fit — cold-chain warehouse operator
keyword-missed fit

Homepage says “cold chain solutions for growing food brands” — no carrier keyword, no 3PL label. Facilities page reveals food-grade certified warehousing and a private fleet. Databases file it under cold storage real estate.

Exclusion — acquired legacy brand
excluded

Well-known regional name whose newsroom announces acquisition by a carrier group three years ago — brand unchanged, ownership zero, sentence quoted.

Insufficient evidence — one-page site
flagged

Cannot be classified either way — flagged honestly with the signal count stated. The same 8/5/5/2 discipline as the published specimen reports.

What a logistics screen cannot do

The contract is coverage, classification, and auditability. Lane analysis and reference calls stay yours.

No financial data

Rates, margins, lane profitability, customer concentration, equipment liens — nothing financial or contractual is website-visible, and we decline to guess.

No registry verification

Fleet counts are the company’s own published claims, dated and sourced. Diligence reconciles them against registries; we do not scrape safety records into screening claims.

No willingness claims

No website signal supports intent to sell. Our standards exist precisely to keep that pretense out of the deliverable. No owner-age profiling, no personal speculation.

Vertical evidence quirks

Driver-recruiting sites sometimes outshine the corporate site, splitting a carrier’s web presence — the census catches both, but notes the split. Owner-operators with minimal sites land in insufficient-evidence, stated as such.

From universe to pipeline

1

Deliver

Scored CSV plus evidence appendix — asset posture, contract language, specializations, footprint, credentials, ownership — quotes and URLs per carrier.

2

Calibrate

You challenge the top decile; we translate challenges into ICP revisions and re-run the universe. Included — logistics theses almost always sharpen after round one.

3

Approach

Letters citing a carrier's actual lanes, fleet, and certifications read like a shipper's RFP, not broker mail. Owners answer the former.

4

Monitor

Annual monitoring re-reads the universe: fleet-page changes, new dedicated offerings, new credentials, new parents in the footer. Deltas arrive flagged, from €18,000 per thesis.

€4,900
Proof project
€9,900
Full universe + deep shortlist
€18,000
Annual monitoring per thesis

Size-tracking data and structure-reading screens, compared

Leading company databases index the companies they found and measure their size. We start from the entire active web and read each company's structure against your exact thesis — evidence attached both ways.

QuestionRegistry and database sourcingFull-web census screening
Asset-based vs brokered capacityA checkbox, often wrongRead from fleet and network language, quoted
Dedicated contracts vs spot freightInvisibleContract-carriage and dedicated-service language captured verbatim
Food-grade / hazmat / bonded credentialsSparse flagsExact claim text with source URLs
The cold-chain operator without carrier keywordsMissed or misfiledClassified from facilities evidence; the hidden-fit cohort is a standing output
The acquired carrier under a legacy brandListed as independentOwnership zero, acquisition language quoted — about 1 in 10 keyword-perfect names
Thesis pivot to a new niche or laneNew search, new list, new dedupeScored universe re-runs against the revised ICP, included

Reading the subsegments: same method, different tells

Each logistics subsegment keeps its acquisition evidence in a different place. The deliverable reports evidence density per subsegment, not uniform confidence.

Asset-based trucking

Fleet and driver pages: equipment types and counts, terminal maps, and recruiting intensity — the most underrated signal in the vertical. A carrier hiring drivers across five terminals is disclosing demand no financial statement shows.

Contract warehousing & fulfillment

Facilities language: certified square footage, racking and cold-chain specifics, WMS and integration capability, retail-compliance experience. Operators with real capacity publish numbers; marketing shells publish adjectives.

Non-asset 3PLs & forwarders

The hardest read. Evidence that separates a durable operation from a load-board shell: longevity language, named teams, vertical case studies, and technology depth — portals, tracking, API documentation — rather than any single credential.

Specialized niches

Tanker and hazmat, healthcare and medical courier networks, project and heavy-haul — gated by credentials and equipment evidence. The most decisively screenable: claims are either published and quotable or absent and disqualifying.

Owner-operator trucking runs thin websites; contract warehousing runs thick ones. The deliverable shows what the web supports per subsegment — which is how a buyer decides where screening ends and field diligence begins.

Frequently asked — logistics screens

Reliably and auditably, because the language diverges: owned-fleet counts, equipment lists, and terminal maps versus network-access and carrier-vetting language. Each classification carries its quotes. Hybrids — brokerages with core fleets, asset carriers with brokerage arms — are labeled as hybrids with both evidence sets shown, and your ICP decides how they score. The point is that the label traces to a URL, not to a database checkbox someone ticked years ago.

Entirely — the thesis is the input. For warehouse-led theses the extraction weights shift to facility evidence: square footage, food-grade or bonded status, value-added services, WMS and integration language, contract-warehousing terms. Fleet evidence becomes secondary or disqualifying per your ICP. The same universe supports both readings, which is why a re-run against a revised thesis is included rather than sold twice.

As their own structure read. Final-mile operators publish the signals that matter — white-glove and medical-delivery specialization, coverage maps, driver-model language, retail and healthcare customer evidence — and the screen classifies them against your definition. The category's noise floor is high, which is exactly where evidence-quoted classification outperforms keyword lists most visibly.

Partially, and we are precise about which parts. Structure — asset posture, specialization, footprint — decays slowly; commercial posture and ownership decay fast, especially in consolidation waves. Every evidence item is timestamped, so you know what was read and when. Annual monitoring from €18,000 per thesis re-reads the universe and flags deltas — new credentials, new dedicated offerings, new parents — which is how multi-year logistics mandates keep their maps honest.

A published specimen from the sample page — twenty anonymized companies from a real industrial run in the standard 8/5/5/2 format: top fits, keyword-missed fits, documented exclusions, insufficient-evidence flags, every call justified with quoted site text. It is free and arrives the same day. The exclusion log is the section to read first; it shows the discipline your outreach list depends on. A logistics proof project from €4,900 then applies it to your thesis.

Adjacent reading

Freight brokerageSpecialty wholesale distributionMaterial handling servicesPackaging & convertingThe 15-signal methodAll industries
What we refuse to sell: no “ready to sell” flags, no revenue or EBITDA guesses, no owner-age profiling, no distress detection — and no engagements in consumer-captive verticals. Read our standards; serious buyers tell us this page is why they trusted the rest.

Map the logistics universe for your thesis

Name the structure you're buying — assets, contracts, lanes, credentials. A specimen arrives the same day; a scoped proposal follows.

Request the specimen report