Problems › We Do Not Know Who Our Best Customers Are › Logistics & Supply Chain
Best does not mean largest. It means the ones you can acquire repeatably, serve profitably and keep. This page works through it for logistics and freight companies specifically — including an unedited excerpt from a real analysis of a freight company.
Best does not mean largest. It means the ones you can acquire repeatably, serve profitably and keep. What makes this harder for logistics and freight companies is structural: dedicated freight dilutes margin and is also the only thing that fixes driver turnover. Any credible answer therefore has to hold revenue per loaded mile and driver turnover in the same view, which is exactly where most internal analysis stops because the two live in different systems.
Most businesses can name their biggest customers and very few can name their best, because best requires combining three things that usually live in different systems: what they contribute, what they cost to acquire, and how long they stay.
The results are consistently surprising. The largest accounts are frequently mid-ranked once cost to serve is included; the best segment is often one nobody targeted deliberately, discovered by accident and never systematised.
This matters because it decides everything downstream. Who to target, what to build next, where to price, what to say. Getting it wrong means optimising the entire business for the wrong customer.
These three together are the signature. One on its own usually points somewhere else.
✓ Best customer means largest by revenue in internal conversation
✓ Cost to acquire is not known by segment
✓ The ideal customer profile was written from intuition rather than from the base
The move that usually makes it worse. Defining the ideal customer from the largest accounts, which selects for the ones with the most negotiating power rather than the best economics.
It is for you if you run or finance a freight company and best customer means largest by revenue in internal conversation. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on a freight company. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.
The subject is Ridgeway Freight Systems, a sample company profile used for testing rather than a customer — $240M revenue, 900 drivers.
Excerpt from a real Percision run · Customer Value Architecture · sample company profile
The move. Convert 3-year dedicated customers into hybrid LTL lanes that stack 52-month durability and deliver $22M incremental operating income.
The leak it closes. Plugs $2.9M annual empty-mile cost drag by converting 5.5 percentage points of empty miles into loaded hybrid revenue
The assumption it rests on. Dedicated customers accept hybrid LTL lanes at 70% probability — the engine put the probability at 0.7.
| Investment required | $1.4–1.8M total ($450K software + $350K training + $600–1M salesperson SPIFFs) |
| Expected return | 12.2–15.7× on $1.6M base investment ($22M upside / $1.6M cost) |
| Revenue, year 1 | $4.2M incremental operating income (10 hybrid lanes × $420K avg contribution) |
| Revenue, year 2 | $11.0M incremental (25 lanes) |
| Revenue, year 3 | $22.0M incremental (40 lanes) |
| Exit criteria | Terminate hybrid program if <40% dedicated customer conversion by Month 12 or if hybrid lanes show negative operating income contribution by Month 18 |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Customer Value Architecture, one of 29 engagements the platform runs. For logistics and freight companies it works through revenue per loaded mile, driver turnover, deadhead percentage and operating ratio, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.
Combine contribution, acquisition cost and retention at the segment level. Any one of the three alone produces a ranking that is confidently wrong.
That is usually good news — it is a targeting instruction. The relevant question is whether the segment is large enough to support your growth plan, which is answerable.
Reprice first; some become profitable and the rest leave with the decision made for you. Firing directly is faster and costs you the information about which were repriceable.
Materially, yes. Dedicated freight dilutes margin and is also the only thing that fixes driver turnover — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are revenue per loaded mile, driver turnover, deadhead percentage, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on revenue per loaded mile and driver turnover. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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