2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Logistics, Transportation & Storage Services

Who this report is for

This report is for freight carriers, brokers, forwarders, 3PLs, warehouses, specialized logistics providers, cross-border teams, and revenue leaders that need an auditable acquisition baseline. It is most useful when every action can be classified by shipper type, lane, mode, volume, service, and contract need.

Contents

The report explains metric boundaries, logistics demand context, CPC and qualification drivers, the Lane-Mode-Volume-Service Fit Grid, a reproducible planning scenario, own-data comparison, modeling, limitations, FAQs, sources, related research, visuals, and publishing controls.

Benchmark snapshot

Metric 2026 value Semantic label Denominator Source role Interpretation Advertising CPC USD 4.93 per click pricing_system_ value Paid clicks Frozen pricing-system registry Traffic cost, not shipment price Lead-action CPA USD 75 per captured action sellersgpt_mode led Valid configured actions SellersGPT CPA v2.1 Capture cost before shipper-fit review Implied click-to-action rate 6.57% derived_calcula tion Actions / paid clicks USD 4.93 / USD 75 Consistency diagnostic, not observed CVR Modeled lead-to-MQL rate 34.5% sellersgpt_mode led MQLs / captured actions MQL v1.0 Modeled fit-plus-en gagement yield Modeled cost per MQL USD 215 per MQL sellersgpt_mode led Acquisition cost / modeled MQLs Formula and rounding Planning value, not product charge Planning band USD 170-260 per MQL sellersgpt_mode led Scenario range Model sensitivity Not a rate quote or confidence interval Confidence Medium-High sellersgpt_mode led Mapping judgment Proxy review Direct logistics evidence with mode heterogeneity

What the data says

The USD 4.93 CPC is 3.3% below the USD 5.10 portfolio reference. That index says nothing about freight rates or qualification quality. Google defines average CPC as click cost divided by clicks (Google Ads Help, Average CPC). The USD 75 CPA instead divides conversion cost by the configured action count, consistent with Google's definition of average CPA (Google Ads Help, Average CPA). The model applies a 34.5% lead-to-MQL rate: USD 75 / 0.345 = USD 217.39, rounded to USD 215. HubSpot's first-party scoring documentation separates fit from engagement, supporting the use of both shipper/account evidence and behavior rather than a form submission alone (HubSpot, Understand the lead scoring tool).

What this benchmark measures

The report models a paid click, a captured lead action, and an MQL. A lead action could be a freight quote, warehouse inquiry, callback, consultation, or network application if configured that way. It must preserve its event type. A tracking lookup, support request, or carrier application is not silently recoded as new-shipper demand. A SellersGPT Qualified Lead is a separate product state governed by versioned evidence and fit rules. Its actual unit price is intentionally null and cannot be inferred from CPC, CPA, or modeled MQL cost.

Industry demand context

Logistics spans road, rail, ocean, air, parcel, intermodal, warehousing, fulfillment, brokerage, forwarding, cold chain, project cargo, and other specialized services. Census NAICS separates transportation and warehousing activities into multiple industries, so SGT-16 is a commercial grouping rather than one official sector row (U.S. Census Bureau, NAICS). Freight demand is defined by flows, not simply by company industry. The Federal Highway Administration's Freight Analysis Framework organizes freight estimates by origin, destination, commodity, and mode, illustrating why lane and mode belong in qualification evidence (FHWA, Freight Analysis Framework). The Federal Maritime Commission separately defines ocean freight forwarders and non-vessel-operating common carriers as different regulated intermediary roles (FMC, Ocean Transportation Intermediaries). Neither source supplies advertising benchmarks. At least four populations must remain separate: commercial shippers seeking service, carriers seeking loads or onboarding, existing customers seeking tracking or claims support, and applicants seeking work. Other confounders include household moves, parcel tracking, freight-rate research, unsupported hazardous goods, lanes outside the network, volumes below service minimums, one-time spot requests in a contract campaign, and duplicate quotes sent to many providers.

Why CPC behaves this way

The USD 4.93 CPC is the exact modeled registry value, not a universal auction result. Broad logistics terms attract consumers, drivers, carriers, students, and support users. Lane-plus-mode-plus-service searches may show clearer shipper intent but differ sharply by geography and capacity cycle. Actual CPC also changes with match type, brand demand, local versus international scope, device, professional-social mix, season, and whether the offer is spot, contract, warehousing, or integrated logistics. The WordStream/LocaliQ 2026 benchmark family provides public U.S. search context but does not represent every B2B logistics program or this country-neutral row (WordStream, 2026 Google Ads Benchmarks). It is used in an assigned source role rather than presented as direct SGT-16 observation.

Why CPA and MQL diverge

A low-friction quote form can capture many actions without usable lane, commodity, volume, equipment, timing, or shipper identity. A detailed form can reduce actions while increasing reviewability. Existing-customer activity, carrier inquiries, employment traffic, unsupported destinations, prohibited commodities, unrealistic pickup dates, and duplicates reduce qualification yield. First Page Sage's lead-to-MQL report uses a disclosed agency cohort that is approximately 70% B2B and SEO-heavy. Its landing-page report treats the configured CTA as conversion. Those sources support sensitivity, not a universal logistics qualification rate (First Page Sage, Lead-to-MQL Benchmarks; First Page Sage, B2B Landing Page Conversion Rates).

Lane-Mode-Volume-Service Fit Grid

Dimension Evidence required Favorable Review or separate path Shipper Legal organization and shipper role In-scope commercial shipper Carrier, job seeker, consumer, or support user Lane Origin, destination, border points Supported operating lane Missing or unsupported geography Mode Road, rail, ocean, air, parcel, intermodal Offered mode and equipment Mismatched service or equipment Volume Weight, dimensions, frequency, annualized demand Inside economic and capacity range Below minimum, incomplete, or infeasible Service Commodity, handling, storage, compliance, timing Supported requirement Prohibited goods, impossible date, or missing evidence For illustrative adjustment only, use 0.80 x the USD 215 point estimate for a complete recurring-lane cohort, 1.00 x for base, and 1.20 x for fragmented spot or incomplete demand. The results are USD 172, USD 215, and USD 258, within the USD 170-260 band. These are not observed multipliers.

Illustrative planning scenario

Assume a fictional mature cohort records USD 7,500 of attributable acquisition cost and 100 valid lead actions. 1 Lead-action CPA: USD 7,500 / 100 = USD 75. 2 Modeled MQL count: 100 x 34.5% = 34.5. 3 Unrounded modeled cost per MQL: USD 7,500 / 34.5 = USD 217.39. 4 Published display: USD 215 after nearest-USD-5 rounding. This demonstrates model arithmetic. It is not a freight quote, shipment forecast, capacity promise, customer result, or SellersGPT charge.

How to compare your data

Use one currency, period, geography, network, objective, and action definition. Deduplicate by shipper and shipment need. Separate new shipper acquisition from support, carrier, job, and existing-account traffic. Tag lane, mode, commodity, equipment, volume, cadence, service, contract type, rejection reason, and rule version. Allow enough time for quote and operations review before closing the cohort. Compare spot and contract programs separately even when they use the same landing page. A spot request may mature within hours, while a warehousing, managed-transportation, or recurring-lane evaluation can require facility, systems, credit, safety, and procurement review. Report both the first-action date and the decision-maturity date. If serviceability changes because a lane opens, capacity closes, or commodity restrictions change, version the eligibility rule instead of rewriting historical results.

How it was modeled

The CPC is imported from the frozen pricing-system benchmark registry. CPA, MQL rate, MQL cost, band, and confidence are SellersGPT modeled. The model uses a 70% normalized industry proxy plus a 30% channel baseline, caps raw proxy rates at 24%-38%, calculates at full precision, and rounds MQL cost to the nearest USD 5. Medium-High confidence reflects a direct transportation and logistics proxy family, tempered by major differences among modes, contract sizes, geography, brokerage, storage, and specialized services.

What it does not prove

This report does not prove a universal average, freight rate, click bid, qualified shipper, carrier approval, booking, meeting, SQL, opportunity, revenue, CAC, or ROI. It does not publish a SellersGPT Qualified Lead price. The planning band is not a confidence interval.

FAQ

Is a freight quote request automatically an MQL? No. It must meet the applicable shipper, lane, mode, volume, service, and evidence criteria. Should tracking visits be included? Not in new-account acquisition unless the analysis deliberately measures existing-customer service. Preserve them as a separate event type. Is USD 4.93 a freight lead price? No. It is modeled advertising cost per paid click. Can spot and contract freight share one benchmark? Only if explicitly segmented. Their timing, frequency, economics, and qualification evidence differ. When should the model be replaced? When a mature, deduplicated lane-and-service cohort supports reliable stage-specific actuals.

Sources and methodology

• DEF-01: Average cost-per-click (Avg. CPC): Definition, Google Ads Help. Accessed 2026-08-25. Defines CPC only.

• DEF-03: Average CPA: Definition, Google Ads Help. Accessed 2026-08-25. Defines CPA; no shipper qualification rule.

• QUAL-01: Understand the lead scoring tool, HubSpot. Accessed 2026-08-25. Supports fit and engagement separation.

• BENCH-03: Google Ads Benchmarks 2026, WordStream by LocaliQ. Accessed 2026-08-25. Search context; not direct SGT-16 data.

• BENCH-05: Lead-to-MQL Conversion Rate Benchmarks by Industry & Channel, First Page Sage. Accessed 2026-08-25. Proxy with agency-cohort limits.

• BENCH-07: B2B Landing Page Conversion Rates: 2026 Report, First Page Sage. Accessed 2026-08-25. CTA conversion context, not qualification proof.

• GOV-01: North American Industry Classification System, U.S. Census Bureau. Accessed 2026-08-25. Taxonomy crosswalk only.

• IND-16-FHWA: Freight Analysis Framework, Federal Highway Administration. Accessed 2026-08-25. Freight-flow dimensions; no ad benchmark.

• IND-16-FMC: Ocean Transportation Intermediaries, Federal Maritime Commission. Accessed 2026-08-25. Role definitions; no acquisition-cost data.