Problems › We Do Not Know Who Our Best Customers Are › Energy & Utilities Services
Best does not mean largest by revenue from regulated utility asset projects. It means the ones you can acquire repeatably under master service agreements, serve profitably within outage windows, and keep without project write-downs. What makes this harder for utility contractors is structural: margin improvement requires shifting revenue to automation and controls but that reduces overhead line work and operating profit unless utilization exceeds 79 percent which outage scheduling prevents. Any credible answer therefore has to hold 18.0 and 71.4 in the same view, which is exactly where most internal analysis stops because the two live in different systems.
Best does not mean largest by revenue from regulated utility asset projects. It means the ones you can acquire repeatably under master service agreements, serve profitably within outage windows, and keep without project write-downs. What makes this harder for utility contractors is structural: margin improvement requires shifting revenue to automation and controls but that reduces overhead line work and operating profit unless utilization exceeds 79 percent which outage scheduling prevents. Any credible answer therefore has to hold 18.0 and 71.4 in the same view, which is exactly where most internal analysis stops because the two live in different systems.
Most utility contractors can name their biggest customers by backlog from the 248.6 million dollars revenue from regulated utility asset projects and very few can name their best, because best requires combining three things that usually live in different systems: what they contribute to craft utilisation, what they cost to acquire through the utility procurement officer, and how long the master service agreements stay.
The results are consistently surprising. The largest accounts are frequently mid-ranked once craft utilisation and outage windows are included; the best segment is often one nobody targeted deliberately, discovered by accident and never systematised around the 18.0, 71.4, 23 and 6.6 metrics that decide margin.
This matters because it decides everything downstream. Who to target for master service agreements, what automation and controls to pursue next, where to price, what to say to the utility procurement officer. Getting it wrong means optimising the entire business for the wrong customer while backlog and craft utilisation suffer.
These three together are the signature. One on its own usually points somewhere else.
✓ Best customer means the account with the biggest share of the 248.6 million dollars revenue from regulated utility asset projects in internal conversation
✓ Craft utilisation and project write-downs are not known by master service agreement segment
✓ The ideal customer profile was written from intuition rather than from the backlog base
The move that usually makes it worse. Defining the ideal customer from the largest accounts by the 248.6 million dollars revenue from regulated utility asset projects, which selects for the ones with the most negotiating power with the utility procurement officer rather than the best economics on outage windows.
It is for you if you run or finance a utility contractor 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 utility contractor. 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 Verrick Energy Services, a sample company profile used for testing rather than a customer — 248.6 million dollars revenue from regulated utility asset projects.
Excerpt from a real Percision run · Competitive Positioning · sample company profile
The move. Monetise 9.2-day energised outage reliability inside existing MSAs to expand share-of-wallet and lift blended margin 135 bps.
| Investment required | $0.6–0.9 M (retention bonuses for 150 senior linemen and minor estimating-process tweaks) |
| Expected return | Base case: 4.8× return on $0.75 M investment via $3.6 M incremental gross profit in Year 2; conservative range 3.2–6.1× based on 200–300 bps premium capture. |
| Revenue, year 1 | $255–260 M (+3–5 % vs FY2025) |
| Revenue, year 2 | $265–275 M (+7–11 % vs FY2025) |
| Revenue, year 3 | $280–295 M (+13–19 % vs FY2025) |
| Exit criteria | Strategy should be reversed if, within 18 months, (a) craft utilisation has not reached 75 % OR (b) at least 2 of 3 targeted MSA renewals have not been signed with explicit energised-window guarantees, OR (c) substation-segment gross margin remains below 19.5 % after premium pricing implementation. |
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 utility contractors it works through 18.0, 71.4, 23 and 6.6, 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. Margin improvement requires shifting revenue to automation and controls but that reduces overhead line work and operating profit unless utilization exceeds 79 percent which outage scheduling prevents — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are 18.0, 71.4, 23, 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 18.0 and 71.4. 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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