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Six Trucking KPI Benchmarks Shippers Can Use Without a Data Team

October 18, 2026
Six Trucking KPI Benchmarks Shippers Can Use Without a Data Team

Shippers should benchmark carriers on six KPIs: on-time delivery, tender acceptance, cost per mile, deadhead percentage, detention and dwell time, and travel-time reliability. The most useful benchmarks are peer-group medians or ranges, backed by ATRI cost data and FHWA reliability measures, and tested for root cause before you act. We built Signal Engine to support that work.

TL;DR:

  • ATRI’s 2025 operational cost benchmark was $2.336 per mile; compare quotes far below it against cost structure, service, and tender acceptance before acting.
  • Calculate revenue per mile using all miles, since deadhead typically accounts for 16–17% of mileage; loaded mile rates can hide unprofitable lanes.
  • Match carriers by fleet size, region, and freight mode; use separate peer groups because truckload, less than truckload, and intermodal have different service measures.
  • Use 95th percentile travel times for strict appointments, consistent data sources across lanes, and root cause checks to separate carrier failures from dock delays.
  • Request safety telematics metrics from every carrier first, then add maintenance measures for critical lanes; define event rules and sampling windows consistently.
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Table of Contents

Why the industry is pushing for standard KPIs

Shippers and carriers largely agree that trucking needs common yardsticks. Research on logistics KPIs found that 87% of shippers and 90% of carriers said standards should exist, yet fragmentation and post-COVID volatility still make comparison hard.

That gap shows up in your scorecards. Here is what the research and practitioners point to:

  • Every carrier defines "on time" a little differently, so two scorecards rarely match.
  • Data management gaps limit cross-carrier comparison, which leaves shippers with inconsistent reports.
  • Carriers weigh your KPI expectations when they bid, so unclear or unfair targets can raise rates or reduce the capacity offered to you.
  • Consistent definitions protect pricing, because carriers can plan around metrics they trust.

Standardization is not paperwork for its own sake. It decides whether your lanes get covered at a fair price.

The core trucking KPIs and the benchmarks to use with them

Start with definitions, because a benchmark is only as good as the formula behind it.

  • On-time delivery: the share of loads that arrive inside the agreed delivery window. Separate pickup windows from delivery windows, and use the same window definition across every carrier you compare.
  • Tender acceptance rate: the share of load tenders a carrier accepts. When acceptance falls, you lean on spot freight, which usually costs more and destabilizes your budget.
  • Cost per mile and all-miles revenue rate: divide total revenue by total miles, not just loaded miles. Practitioners note that many carriers track only loaded-mile rates, while the all-miles view reveals true lane profitability once the typical 16–17% of deadhead miles is counted.
  • Deadhead percentage: empty miles as a share of total miles.
  • Detention and dwell time: hours lost at the dock, which often point at the shipper's own facility.

Present each KPI as a peer-median range or percentile band instead of a single target. A carrier's position within its peer group tells you far more than a pass/fail line.

For cost context, use ATRI's figures:

ATRI reported an industry-average operational cost of $2.336 per mile in 2025, a record. Any carrier quoting far below that range deserves a closer look at how it covers costs.

Safety KPIs round out the picture. Critical events, speeding and hard braking are the most widely adopted telematics metrics, which makes them reliable comparators across carriers.

Which telematics KPIs carriers track and shippers can request

ATRI's telematics research ranks KPIs across safety, operations and maintenance. Safety KPIs lead on adoption, so you can reasonably ask any carrier for them.

  • Safety KPIs: critical events, speeding, crash rates and hard braking have the highest adoption and make dependable comparators.
  • Underused but promising: engine health, missed preventative maintenance and cost per mile are tracked less often, yet they connect directly to breakdown risk and cost. Shippers who ask for them early gain an edge.
  • Prioritization: request safety metrics from everyone first, then add maintenance metrics for carriers on your critical lanes.

Data quality decides whether any of this works. Check that telemetry feeds arrive consistently, that sampling windows match across carriers, and that event definitions (what counts as a "hard brake") are the same. Reliable data transport matters too. Providers like California Telecom offer managed network monitoring for logistics operations, which helps keep those feeds steady. For teams exporting tracking data for analysis, this fleet data export guide covers the practical steps.

Travel-time reliability measures for lane benchmarking

FHWA's freight performance guidance gives shippers a shared vocabulary for reliability. The FHWA freight measures primer covers these measures:

  • Travel time index (TTI): average travel time divided by free-flow travel time.
  • Planning time index (PTI): the 95th percentile travel time divided by free-flow time, which shows how much buffer you need.
  • Truck travel time reliability (TTTR): a measure built on upper-percentile travel times for trucks.

Pick the percentile that matches your service promise. A strict dock appointment needs the 95th percentile, while a flexible window may tolerate less. Weight reliability numbers by lane or corridor rather than using one national average.

Source consistency matters as much as the formula. Commonly used data includes NPMRDS and third-party speed data. Mixing them across lanes produces gaps that look like carrier performance but are really data differences.

Operational cost per mile: what carrier cost benchmarks tell you

ATRI's operational cost analysis is the industry's main cost benchmarking tool, and its 2025 update provides peer-group medians, time series and line-item breakdowns.

The latest ATRI reading of $2.336 per mile came with cost increases across major line items, and costs excluding fuel rose faster.

Fuel, maintenance, driver pay and benefits, and tolls make up the bulk of a carrier's cost structure. When non-fuel costs climb faster than fuel, a carrier's rate pressure persists even if diesel prices ease.

2025 trucking cost per mile and expense categories

Never read cost per mile alone. A cheap carrier with weak tender acceptance and late deliveries can cost you more than a pricier, reliable one. Pair cost with on-time delivery and acceptance to judge total value.

A step-by-step process for setting peer-group benchmarks

Follow this sequence so your benchmarks hold up in a carrier conversation:

  1. Choose your peer group and lanes, grouping carriers by size, mode and region.
  2. Lock consistent KPI definitions, including delivery-window rules.
  3. Set a sample window and normalize the data for volume and seasonality.
  4. Compute peer medians and percentile bands for each KPI.
  5. Set green, amber and red thresholds from those bands.
  6. Run root-cause checks before any penalty or corrective action.

Root-cause work protects relationships. Practitioner guidance stresses that scores alone are not enough: you must separate carrier-controlled failures from receiver delays, weather and master-data errors. A late load caused by a dock that held the truck for hours is your problem, not the carrier's.

Pro Tip: Use rolling windows and lane-weighted scoring so one bad week or one unusual lane cannot distort a carrier's grade.

How carrier size and region change the benchmark

A smaller regional fleet and a national carrier run different operations, so one benchmark rarely fits both. Compare like with like. Group carriers by fleet size, then by the regions they serve, before you compute medians.

Size shapes the numbers in predictable ways. Larger carriers usually have more network flexibility to cover a failed load, which can lift tender acceptance. Smaller carriers often offer closer service on a handful of lanes. Neither is better by default. They are different profiles, and your scorecard should reflect that.

Region matters because congestion, terrain, weather and driver supply vary. A lane through a dense corridor will show a higher planning time index than a rural one, and that is geography, not carrier failure. Using lane-weighted reliability numbers from consistent sources keeps regional effects out of your carrier grades.

Practical tip: build distinct peer groups rather than one. A regional-fleet band and a national-fleet band give you fairer percentiles and fewer arguments over exceptions.

How carrier size and region change the benchmark — overview diagram

Driver performance and turnover as carrier KPIs

Driver stability is one of the strongest hidden predictors of service quality. Turnover rate, the share of drivers who leave over a defined period, affects on-time delivery, safety and capacity, because a carrier that keeps losing drivers struggles to cover your lanes.

The driver-level KPIs worth requesting overlap with the telematics metrics above:

  • Critical events, speeding and hard braking per driver or per mile.
  • Turnover rate and average driver tenure.
  • Hours-of-service compliance trends.
  • Driver-related maintenance flags, such as missed preventative maintenance.

Because safety KPIs have the highest telematics adoption, most carriers can supply driver-behavior data without extra tooling. Turnover is harder, since carriers report it differently, so define it in writing: voluntary or total separations, the period covered, and the driver pool.

Treat these metrics as context, not verdicts. Rising turnover paired with falling on-time delivery is a warning worth a conversation. Turnover alone is just a data point.

How KPIs differ across truckload, LTL and intermodal

The same KPI means different things by mode, so never compare across them without adjustment.

  • Truckload (TL): tender acceptance and on-time delivery dominate, and deadhead percentage matters because trucks often return empty.
  • Less-than-truckload (LTL): freight moves through terminals, so transit consistency, damage rates and claims matter more, while deadhead is less relevant.
  • Intermodal: rail legs add dwell and handoff risk, so reliability and dwell time at ramps and terminals carry the most weight.

Pickup and delivery windows also behave differently. A TL load has a tight appointment, while an LTL shipment may carry a delivery-day commitment instead of a time. If you apply a TL on-time definition to LTL freight, you will mislabel good performance as failure.

Keep a separate scorecard and separate peer group for each mode. Then compare modes only on outcomes that truly match, such as total landed cost and damage-free delivery, rather than on raw KPI values.

Cargo claims and damage rate benchmarks

Claims and damage rates are a direct measure of how well a carrier protects your freight. We do not cite a single industry-wide claims figure here, because published rates vary by mode, commodity and how a carrier counts a claim. That variation is the real lesson: define the measure before you benchmark it.

Build your claims KPI from a few clear pieces:

  • Claims ratio: claim dollars as a share of freight revenue paid to the carrier.
  • Damage rate: the share of shipments with reported damage.
  • Claim resolution time: days from filing to settlement.

Compare carriers inside the same mode and commodity class. Fragile or temperature-sensitive freight will always show a different profile from bulk goods. Ask each carrier for its figures over a consistent recent period, then compute your peer median from those.

Watch for packaging and loading causes before you assign blame. Damage from poor palletizing or an over-tight load is a shipper-side issue, and root-cause review keeps the scorecard honest.

How fuel prices and regulation shift your benchmarks

Benchmarks are not fixed. They move with the cost and rule environment around them.

Fuel is the obvious driver. When diesel rises, cost per mile rises, and carriers pass that through. But fuel is not the whole story: ATRI found that costs excluding fuel rose faster in its latest reading, so a fuel dip will not erase rate pressure.

Regulation changes behave differently. Hours-of-service rules, safety enforcement and emissions requirements can change capacity, equipment cost and lane economics. A rule that trims available driving hours can lower on-time performance across the whole peer group at once.

Practical response: re-baseline your peer medians whenever a major cost or rule change lands, and annotate the scorecard with the date. If every carrier slips together, the benchmark moved, not the carriers. Comparing a carrier to its peers in the same period, rather than to last year's number, cancels most of that outside noise.

Benchmarking revenue per mile and operating ratio

Financial KPIs tell you whether a carrier can sustain the service you rely on. Two matter most for shippers.

Revenue per mile works best as an all-miles figure: total revenue divided by total miles, so deadhead is counted. As the practitioner research above notes, loaded-mile rates alone hide the true profitability of a lane. Compare your rate against ATRI's cost per mile to see whether a carrier has room to stay solvent.

Operating ratio is operating expenses divided by revenue. A lower ratio means more margin. A ratio close to break-even means a carrier has little cushion, which raises service and capacity risk for you. Publicly traded carriers disclose it, while private fleets may share it under a confidentiality agreement.

Use these figures to judge stability, not to squeeze rates. A carrier priced so low that its margin vanishes tends to fail on tender acceptance first. Healthy partners in your peer group usually sit near the median, not at the extreme low end.

Why research-backed benchmarking pays off

Standard benchmarks remove surprises. When both sides know the definitions and the peer ranges, rate negotiations get calmer, and carriers can price your freight with confidence instead of padding for uncertainty.

My view is that the best benchmarking is collaborative. Share the scorecard, explain the thresholds and invite carriers to challenge exceptions. Penalizing first and asking questions later protects no one, and it costs you capacity when freight gets tight. Analytics tools help by running the numbers continuously and surfacing revenue leakage early, so humans spend their time on the conversations that matter.

— Bernard

Track your carrier KPIs automatically with Signal Engine Scale

Signalengine

We built Signal Engine Scale to support KPI tracking and benchmarking. It is priced at $297 per month on the Scale plan.

  • Industry-specific KPI insights for logistics and trucking, as described on our revenue intelligence for logistics page.
  • Benchmarking and alerts to help monitor metrics.
  • Carrier scoring that keeps your thresholds consistent.

Start with a free trial and see how Signal Engine Scale fits your carrier program.

FAQ

How should a KPI look?

A good KPI has a clear definition, a single formula, a defined time window and a target tied to a peer benchmark. If two people could calculate it differently, it is not ready. Pair every KPI with a root-cause check so exceptions lead to action.

What are the 5 key performance indicators in transportation?

Useful measures for shippers include on-time delivery, tender acceptance, cost per mile, deadhead percentage, detention or dwell time, and travel-time reliability for lane planning. See our post on trucking KPIs that drive revenue growth for more.

What are 5 examples of metrics to measure performance?

Common examples are on-time delivery rate, tender acceptance rate, cost per mile, critical safety events and planning time index. Each one measures a different side of service, cost or reliability. Use them together rather than alone.

How do I connect KPI gaps to recovered revenue?

Track the gap, estimate what it costs you in late loads or spot-market premiums, and fix the largest leak first. Our guide to fixing revenue leaks with pipeline analytics walks through the approach.

Sources

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