You’re in a contract negotiation. A carrier submits a rate. Your data tool shows a lane average. You use it to push back.
But here’s the question many shippers never ask: Where did that number come from?
It’s not an abstract question. The methodology behind that data determines whether you’re negotiating from evidence or from a well-packaged estimate. And when your CFO asks you to defend transportation spend, or when a carrier challenges your benchmark, “our software said so” isn’t an answer.
Before you trust any rate figure with a real procurement decision, ask your data provider these five questions.
1. Where does the data come from?
The methodology behind building a rate dataset matters. You can collect actual freight invoices, meaning the amounts buyers and sellers agreed to pay on completed shipments. Or you can infer rates from observable signals: tender acceptance patterns, carrier capacity behavior, GDP trends, fuel pricing, etc.
Both approaches can produce numbers. Only one produces a record of what someone actually paid.
Signal-based and index-based methodologies can be sophisticated, and some providers have built significant reputations on them – they’re even the right analytical lens in some circumstances. But if you ask a provider to trace a rate figure back to a specific transaction, to show you the invoice, and they can’t, that rate is an estimate. It may be a well-calibrated estimate, but it’s not the market’s own record.
For market commentary and directional reads on capacity, estimates are fine. For setting a contract rate you’ll defend to leadership next quarter, you want the invoice.
2. Who contributes the data and is it the full transaction?
Even transaction-based data can be incomplete if it only comes from one side of the deal.
A dataset built entirely from carrier invoices reflects what carriers billed, not necessarily what shippers paid or what brokers cleared. A dataset built entirely from broker loads may skew toward certain freight types, lane densities, or shipper sizes. Any single-sided source produces a partial market view, then extrapolates from it.
The most accurate rate picture comes from a contributor base that spans all three parties in a freight transaction: shippers, brokers, and carriers. Each brings a different vantage point on what a lane actually costs. When all three are represented, the aggregate is closer to the full market than any single source can be.
Ask your provider how their contributor base breaks down. If they can’t answer with specifics, that’s your answer.
3. How current is the data you’re actually looking at?
Freight rates don’t hold still. A lane that priced one way on Monday may look meaningfully different by Thursday, depending on what’s moving, what capacity is doing, and what the regional supply picture looks like.
Ask your provider how frequently their rates update, and whether that cadence applies to spot rates, contract rates, or both. The answer tells you whether your tool reflects the market you’re negotiating in today, or the market as it looked a few weeks ago.
4. What happens to the data before it becomes a rate?
Ask your provider what their validation process looks like. Specifically: do they remove statistical outliers before calculating averages? Do they check that rate components (linehaul, fuel, accessorials) add up correctly against the invoice? Do they apply any temporal weighting to give more influence to recent transactions?
A provider with a clear answer to these questions is showing you their methodology. A provider who responds with marketing language about “proprietary algorithms” or “industry-leading accuracy” without specifics is telling you they’d rather not explain.
5. Can you trace any rate back to its source?
This is the test that separates tools built for procurement decisions from tools built for market awareness.
If you pull a rate for a specific lane and equipment type, can your provider show you how many transactions that rate is based on? Can they tell you whether the underlying data is thin (a handful of loads from one atypical week) or deep, with consistent volume across the measurement period?
Knowing the veracity of a rate is as important as knowing the rate itself. A $2.40/mile average based on 400 transactions carries very different weight than a $2.40/mile average based on 11. If your data tool doesn’t give you that signal, you’re making decisions without knowing how much to trust the number you’re making them on.
Why these questions matter more than any product demo
Freight data providers will all tell you they have the best data. That’s expected. The questions above aren’t designed to take any provider at their word, they’re designed to help you evaluate the substance behind the claim.
The answers you get will tell you whether a tool is built for understanding the market or for making decisions in it. Both are useful. They’re not the same thing.
When the negotiation is live and the CFO wants a defensible number, you want a rate that traces to a verified transaction, not a model’s best interpretation of what the market probably paid.
That’s a different standard. It’s also a reasonable one to hold your data to.
Ready to take the next step? The New Essentials walks through how to build the business case for freight data and get leadership aligned. Or if you’re ready to see what verified data looks like for your network, get in touch with the DAT team.
