— Finance & Investment

Cost-to-serve & margin leakage by customer

Joins revenue to allocated cost per customer, derives true contribution margin, and names the loss-makers with the price rise each needs to reach your target margin.

  • Finance & Investment
  • Traceable reasoning
  • Runs anywhere
Preview methodology

2–3 weeks → ~40 minutes

For a full population, not a sample

No coding required

Input
Customer revenue data with consistent customer identifiers
Output
Contribution margin analysis by customer and, where available, by product
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~2–3 weeks per run

— USE CASES

What people use Cost-to-serve & margin leakage by customer for

Customer profitability review

Shows which customers generate contribution and which make a loss after allocated costs. A ranked view helps focus management attention on relationships that erode profitability.

Account renegotiation planning

Produces a shortlist of accounts for renegotiation, with the price increase each needs to reach the target margin at current volumes and allocated costs.

Product mix margin review

Examines contribution margin at customer-product level where the data supports it. Highlights likely leakage from pricing, product mix, discount creep or service intensity to support more focused commercial recommendations.

Cost-to-serve commercial assessment

Makes the margin impact of allocated service costs visible across customer relationships. Helps distinguish accounts that need pricing attention from those that warrant a review of service demands.

What it works from

  • Customer revenue data with consistent customer identifiers
  • Allocated cost data by customer or customer-product combination
  • Product identifiers for product-level analysis
  • Target contribution margin

What you get back

  • Contribution margin analysis by customer and, where available, by product
  • Ranked loss-making customer and product combinations
  • Assessment of likely margin leakage causes
  • Customer renegotiation shortlist with supporting margin evidence linking accounts to the commercial opportunity for improvement at the target margin under current cost allocations and volumes

— HOW IT BEHAVES

How Cost-to-serve & margin leakage by customer produces its result

The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.

Every row of the reporting period in scope

Each row of your export is processed on the same basis, so no line item is skipped however long the table is.

The pattern charted

Movement across the reporting period in scope is visualised from the computed data, so the trend is legible at a glance.

Composed as work product

Findings on the reporting period in scope are written up as a document that reads like professional output, with each claim tied back to a line item.

Each line item enriched in place

Derived columns are added row by row, keeping your source data and the judgement about each line item side by side.

Roll-up alongside line item-level detail

Detail rows are summarised into the grouped view of the reporting period in scope without losing the underlying line items.

Why this is expensive by hand

Customer revenue can hide unprofitable relationships when discounts, product mix and service demands absorb the margin. In practice it shows up as customer profitability review: shows which customers generate contribution and which make a loss after allocated costs. A ranked view helps focus management attention on relationships that erode profitability. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 2–3 weeks of capacity for it.

How this Skill produces it

As a Skill, the work is already sequenced. You bring the evidence, and the run produces contribution margin analysis by customer and, where available, by product plus ranked loss-making customer and product combinations. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. Net effect: 2–3 weeks down to ~40 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.

Who it's for

  • Finance directors and FP&A teams
  • Investment, deal and corporate development teams
  • Controllers and reporting managers
  • Consultants building or reviewing business cases

Run it in Skillsize — or export it anywhere

Cost-to-serve & margin leakage by customer exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.

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