The regulated cost and the real cost of serving a customer are not the same number.
In energy and utilities the cost that decides the business is buried under two averages. The first is the regulated allowance, which says what you may recover, not what it actually costs to serve a given customer or run a given asset. The second is the infrastructure overhead, spread across the network by volume or by headcount as if every service point cost the same. Neither tells you the truth. Time-driven costing assigns network capacity, asset cost and service effort to the customers, segments and assets that actually consume them.
Cost and Profitability Consulting · 150+ models since 2010 · TDABC
Utility economics are dominated by network and asset capacity cost and by per-customer cost-to-serve, neither of which a regulated average reveals. A crucial distinction holds here: the regulated allowed cost is not the real cost of serving a customer or running an asset. The same statistics that hold across every sector apply: industry analysis shows cost-to-serve varies two to three times between customers who look identical, and studies of traditional costing find it distorts cost by 30 to 46 percent. TDABC assigns network capacity, asset cost and infrastructure overhead to the customers, segments, service points and assets that actually consume them, so each shows its real cost-to-serve instead of an allocated average. We do not publish a utilities-specific benchmark, because rigorous figures for this sector are not in our base; the method, not an invented number, is what makes the difference visible.
The allowance is what you recover. It is not what it costs.
Regulated cost is not real cost
What the regulator allows you to recover is an allowance, not a measurement of what it costs to serve a given customer or run a given asset. Decisions about segments, tariffs and assets need the real cost, not the allowance. The two diverge silently, and only one of them is the truth.
Network and assets are a shared, capacity-driven cost
The expensive thing is capacity and the asset base, not average throughput. Allocating by simple volume or headcount over- or under-charges segments. Research consistently finds few organisations measure the cost of unused capacity, and the established convention puts practical capacity at 80 to 85 percent of theoretical.
Cost-to-serve varies wildly between similar customers
Two service points on the same tariff can cost very different amounts to serve once metering, field visits, support contacts and connection type are loaded. Industry analysis shows cost-to-serve varies two to three times between apparently identical customers.
Infrastructure overhead is allocated, not traced
Central functions, control rooms, field operations and asset management are consumed unevenly across segments but charged as a flat spread, so the cheap-to-serve quietly subsidise the expensive-to-serve.
REGULATED ALLOWANCE IS NOT REAL COST
Illustrative structure, not a sector benchmark. The allowance says what you may recover; cost-to-serve says what it actually costs. They are different numbers, and only the second guides segment and asset decisions.
Two parameters, no surveys.
A capacity cost rate per resource group (network element, asset class, field crew, control room, contact centre) and time equations that describe how each customer, segment, service point or asset consumes those resources. The cost drivers that matter here are peak and load consumption, connection and meter type, field-visit frequency, support-contact frequency, asset class and age, and segment-specific servicing intensity. This is the real cost-to-serve, separate from whatever the regulated allowance happens to permit.
Service-point cost = network capacity share (peak / load-weighted) + asset cost share (asset class x capacity cost rate) + field visits x crew time x crew rate + support contacts x minutes x contact-centre rate + metering, reading and billing effort + share of infrastructure overhead by activity consumed
Illustrative structure, not a measured benchmark. This is the real cost-to-serve, kept separate from the regulated allowed cost.
The whale curve, on the real cost.
The whale curve is the honest map. Across sectors, industry research consistently shows the top 20 percent of customers generate 150 to 300 percent of profit while the bottom 10 to 20 percent destroy 50 to 200 percent of it. In a utility that shape typically shows up as a band of high-touch, high-field-cost or low-load customers and assets that a regulated average and a flat overhead spread quietly hide. A true cost-to-serve per segment and per asset is what draws the curve and tells you where the real economics sit, independent of the regulated picture. We use the transversal whale curve as the lens, applied to the real cost-to-serve, and keep it separate from the regulated allowed-cost view; we do not attach a utilities-specific number to it, because we do not have one.
SEGMENTS & ASSETS, RANKED BY REAL COST-TO-SERVE
Transversal whale curve on the real cost-to-serve, kept separate from the regulated view. Not a utilities benchmark; the agnostic shape as the lens.
Rich asset data, allowance-based decisions.
Utilities usually have rich operational and asset data, so Data & Technology tends to be a relative strength. The weak dimensions are almost always Cost Allocation, network, asset and infrastructure cost spread by volume or headcount rather than by capacity and activity consumed, and Profitability Visibility, cost and value seen at company or tariff level, never per segment, service point or asset, and rarely separated from the regulated allowance. Strategic Decision Support is weak when tariff, segment and asset decisions are made on allowed cost rather than real cost. The gap is method, not data. The seven dimensions are read qualitatively here, with no invented sector score.
When the grid predicts its own failures, where does the cost go?
AI changes utility cost on two fronts at once. On the asset and network side, AI-driven predictive maintenance, demand forecasting and asset optimisation reduce the field events, outages and capacity buffers that drive cost. On the customer side, smart metering and AI-handled service reshape the contact mix and metering effort, which moves cost-to-serve faster than tariffs can follow. The utilities that win are the ones that already know their real cost per customer, segment and asset, so they can plan and price as the cost base shifts. This is a question of decision quality, not a regulatory countdown.
Two ways into the sector's cost.
Frequently asked questions
- How do you measure the real cost to serve a utility customer?
- Load network and asset capacity, field visits, support contacts, metering and billing onto each customer or service point using time equations, then compare to revenue. A regulated average cannot do this, and is not meant to.
- What is the difference between regulated cost and real cost?
- The regulated allowance is what you are permitted to recover; the real cost is what it actually costs to serve a given customer or run a given asset. TDABC measures the second, which is what segment, tariff and asset decisions need.
- How should network and asset cost be allocated?
- By the capacity and activity each customer, segment or asset actually drives, not by average volume or headcount. Capacity is what sizes the network and the asset base, and therefore the cost.
- Do you have a utilities-specific benchmark?
- No. We do not publish sector figures we cannot stand behind. We apply transversal evidence (cost-to-serve variance, cost distortion, whale curve, capacity costing) and the TDABC method to your own data.
See the real cost to serve the regulated average hides.
ProfitAudit 360 builds the per-customer, per-asset real cost on a TDABC base. Or take the Profit Check first: five minutes, no data upload, and it points to where your allocated cost is most likely wrong.