You know which customers are actually profitable when you stop looking only at how much they spend and start looking at how much value remains after serving them.

At a practical level:

Customer revenue

minus:

The direct cost of what they bought

minus:

The additional cost of serving that particular customer

leaves:

Customer contribution.

Then you still need to consider:

Payment behaviour.

Working-capital requirement.

Risk.

Capacity consumed.

Future value.

That is why your biggest customer is not automatically your best customer.

A customer spending £500,000 a year can be less valuable than one spending £200,000 if the larger account requires:

Constant discounting.

Bespoke work.

Extra management.

Repeated site visits.

Rework.

Special reporting.

Long payment terms.

Senior-owner involvement.

And half your operations team every time something goes slightly wrong.

Turnover tells you how much the customer buys.

It does not tell you what they are worth.

Start with gross profit, not revenue

Suppose Customer A spends:

£500,000 a year.

Customer B spends:

£250,000.

Most businesses instinctively describe Customer A as the more important account.

Now imagine Customer A buys work averaging a 20 per cent gross margin.

Gross profit:

£100,000.

Customer B averages a 40 per cent gross margin.

Gross profit:

£100,000.

Already, the customer generating twice the revenue is producing exactly the same gross profit.

And we haven't considered the cost of actually looking after either of them yet.

This is why customer profitability analysis begins below the revenue line.

Gross profit still doesn't tell you the whole story

Two customers can create identical gross profit and consume completely different amounts of company resource.

Customer A:

Places predictable orders.

Uses your standard service.

Deals with one account contact.

Pays electronically on 30 days.

Rarely complains.

Customer B:

Places lots of small orders.

Requires custom paperwork.

Changes specifications.

Needs frequent meetings.

Calls your technical team constantly.

Demands urgent delivery.

Raises invoice queries.

Pays after 70 days.

Both may appear equally profitable if your reporting stops at product or project gross margin.

They aren't.

The second customer has a much higher cost-to-serve.

This is exactly the problem customer profitability analysis is designed to expose. ACCA's guidance on activity-based management notes that traditional contribution analysis can miss customer-specific overheads such as service time, and that allocating those costs using appropriate activity drivers can reveal supposedly valuable customers that are actually loss-making.

What is cost-to-serve?

Cost-to-serve means the resources your company consumes specifically because that customer exists and behaves in the way they do.

Not simply what it costs to manufacture the product or perform the service.

It can include:

• Account management
• Sales administration
• Order processing
• Special deliveries
• Additional warehouse handling
• Bespoke packaging
• Technical support
• Additional customer-service calls
• Site visits
• Complaints
• Returns
• Credits
• Rework
• Bespoke reporting
• Additional quality checks
• Meetings
• Contract administration
• Tender administration
• Chasing payment
• Managing invoice disputes
• Senior-management involvement

The exact list depends entirely on the business.

A 2008 case study and literature review on cost-to-serve found that measuring customer-specific service activity created a substantially richer view of customer profitability than traditional product-margin analysis alone. The empirical part concerned one Brazilian food-industry business, so its detailed results should not be generalised across every SME, but the underlying distinction between product cost and customer-service cost is extremely useful.

Do not make this more complicated than it needs to be

This is where accountants can accidentally terrify normal human beings.

You hear:

Activity-based customer profitability analysis.

And suddenly it sounds as though you need six consultants and seventeen months to find out whether Dave's Builders is worth keeping.

You don't.

Not initially.

Start with the material costs.

You are trying to improve a commercial decision.

Not produce an academic thesis.

Ask:

What significant additional activity does this customer create compared with a normal customer buying the same thing?

That gets you a long way.

A simple example

Imagine two customers each generate:

£200,000 annual revenue.

Each produces:

£70,000 gross profit.

Looks identical.

Customer One requires roughly:

£5,000 account management.

£2,000 special delivery cost.

£1,000 administration.

£1,000 payment chasing and dispute handling.

Approximate contribution after identifiable service cost:

£61,000.

Customer Two requires:

£14,000 account management.

£8,000 special logistics.

£6,000 additional project support.

£5,000 rework and credits.

£4,000 reporting and administration.

£3,000 payment and dispute handling.

Approximate contribution:

£30,000.

Same revenue.

Same initial gross profit.

One relationship produces roughly twice the contribution of the other before wider company overhead.

That is commercially useful information.

Do not randomly dump every overhead onto every customer

This needs nuance.

You could take:

Head-office rent.

CEO salary.

Insurance.

Marketing.

IT systems.

Finance department.

Then allocate every penny across customers using some formula.

Eventually you arrive at a fully loaded profit figure for each one.

That can be useful for certain analysis.

It can also create nonsense.

Suppose Customer A disappears tomorrow.

Does your office rent immediately fall by £4,700?

Probably not.

Does your FD salary reduce by 7 per cent?

Unlikely.

So distinguish between:

Costs genuinely caused or materially influenced by the customer

and:

General business overhead that exists regardless.

For many customer decisions, I am particularly interested in the customer's contribution after direct costs and identifiable cost-to-serve.

Over the long term, of course, the customer base collectively must generate enough contribution to pay the company's overhead and create profit.

But allocating arbitrary slices of every fixed cost can sometimes make a perfectly useful customer appear loss-making even though removing them would not actually remove the corresponding cost.

Use numbers to improve judgement.

Not replace it.

Focus on costs that change because the customer behaves differently

This is where activity-based approaches become useful.

If one customer places:

Two large orders per month

and another places:

Forty tiny ones

their order-processing costs are probably different.

If one customer accepts standard deliveries

and another requires:

Timed delivery.

Dedicated vehicles.

Special packaging.

then logistics costs differ.

If one requires:

One annual account review

and another has:

Weekly calls involving three senior employees

the account-management cost differs.

You do not need to allocate every paperclip.

Concentrate on material differences in service behaviour.

Account-management time is a real cost

This is one businesses routinely underestimate.

Your customer spends £300,000.

They have a Key Account Manager.

Fine.

But they also regularly involve:

Operations Director.

Finance Director.

Technical Manager.

Managing Director.

Individually, nobody records much of it.

Thirty minutes here.

One meeting there.

A phone call.

Email chain.

Quarterly review.

Tender document.

Another meeting.

Across a year, the customer may consume hundreds of hours of relatively expensive people.

That time has an economic cost.

It also has an opportunity cost.

Those senior people cannot spend the same hour somewhere else.

Owner time counts too

This is especially important in owner-managed businesses because the owner often behaves like free labour.

The customer calls you personally.

You solve the problem.

No additional payroll occurred.

So apparently it cost nothing.

Nonsense.

Your time has a value.

If one customer requires five hours of owner attention every month, that is 60 hours a year.

What else could those 60 hours have created?

Sales?

Strategy?

Management development?

A new product?

Time with your family?

Even if you do not assign an exact hourly cost, record the consumption.

An account requiring enormous owner involvement is commercially different from one that works through the team and systems normally.

Rework belongs with the customer where appropriate

Be fair here.

Not all rework is the customer's fault.

If your company cocked it up, that is primarily an internal operational problem.

But when analysing customer economics, the cost still occurred while serving that customer.

You then need to separate why.

Was it:

Your error?

Customer changes?

Poor specification?

Repeated last-minute requests?

Ambiguous scope?

Bad estimating?

This distinction matters because the action changes.

Internal quality problem?

Fix the process.

Customer-driven variation?

Improve scope control or pricing.

Do not simply label customers unprofitable because your own business repeatedly delivers them badly.

Discounting must be included

You quoted:

£100,000.

Eventually sold:

£88,000.

The £12,000 discount is already visible in revenue.

But look at why.

Does this customer always negotiate aggressively?

Do they demand annual rebates?

Retrospective discounts?

Volume discounts?

Marketing contributions?

Tender reductions?

Do your internal reports show their apparent list-price value or the net revenue actually retained?

Measure the real commercial deal.

Not the headline contract value.

Returns, credits and warranty matter too

A customer can look profitable on invoices and considerably less attractive once you include:

Credits.

Refunds.

Returns.

Warranty work.

Remedial visits.

Replacement stock.

Again, identify cause.

Some industries naturally contain returns.

Fine.

The question is whether this customer's behaviour is materially different from normal.

Customer profitability is useful precisely because averages hide variation.

Payment behaviour belongs in customer profitability

Two customers each owe you £100,000.

One pays on day 28.

The other pays on day 75.

That difference matters.

The slow-paying customer requires you to fund:

Payroll.

Materials.

Subcontractors.

Overheads.

for longer before receiving the cash.

They may also create:

Credit-control time.

Management attention.

Disputes.

Borrowing requirements.

The Office of the Small Business Commissioner says more than 1.5 million UK businesses are affected by late payments each year and that businesses affected spend an average of around 86 staff hours annually chasing overdue money. It estimates that roughly £26 billion is outstanding in late payments at any one time.

Those are economy-wide estimates, not a costing formula for your individual customer.

The point is straightforward.

Payment behaviour consumes real resources.

Agreed long payment terms are slightly different

Suppose a customer has agreed 60-day payment terms.

They pay on day 59 every time.

They are not paying late.

But you are still financing their terms.

That belongs in the commercial calculation.

If you buy materials today, pay staff Friday and receive customer cash in two months, the relationship has a working-capital requirement.

Maybe the margin justifies it.

Fine.

But recognise it.

One customer producing £100,000 annual contribution with fast payment may be financially more attractive than another producing £110,000 while tying up enormous working capital.

Cash has a cost and a constraint.

Invoice disputes tell you something too

One customer queries nearly every invoice.

Why?

Perhaps:

Your invoices are routinely wrong.

Fix your invoicing.

Or:

They use disputes as a mechanism for delaying payment.

Different problem.

Track it.

If the finance team spends 30 hours every month dealing with one customer's invoicing bureaucracy, that activity belongs somewhere in the account economics.

Customer profitability is not only the cost of fulfilling the physical order.

It is the cost of maintaining the entire commercial relationship.

Small orders can be disproportionately expensive

Imagine two customers.

Customer A buys £100,000 through:

Ten £10,000 orders.

Customer B buys the same £100,000 through:

Two hundred £500 orders.

If every order creates:

Processing.

Picking.

Packing.

Delivery.

Invoice.

Payment allocation.

customer B may require dramatically more administration.

This is one reason minimum order values, delivery charges and handling fees exist.

A customer can be perfectly viable at a different service model.

The objective is not automatically to get rid of them.

It is to make the economics work.

Bespoke requirements deserve a price

Some customers want:

Special reports.

Custom portals.

Unique labels.

Different packaging.

Dedicated stock.

Different ordering procedures.

Separate invoicing.

Special compliance paperwork.

None of that is automatically unreasonable.

They may have perfectly legitimate reasons.

But legitimate requirements still consume resources.

If the customer wants a genuinely bespoke service, the commercial arrangement needs to reflect the cost of providing it.

Otherwise standard customers subsidise bespoke customers.

Usually without anybody deliberately deciding that they should.

Calculate customer contribution in layers

You do not need one magical profitability number.

I prefer looking at several levels.

Revenue

How much do they actually spend after discounts and credits?

Gross profit

Revenue less the direct product or delivery costs you already normally allocate.

Customer-specific service costs

Account management.

Logistics.

Admin.

Support.

Rework.

Whatever is material.

Customer contribution

What remains after those identifiable costs.

Then separately consider:

Working capital.

Future value.

Risk.

Capacity.

That gives management a much richer picture than:

Top customers by turnover.

Start with the largest customers first

If you have 18,000 customers, do not calculate the individual profitability of all 18,000 on Tuesday.

Start where the money is.

Perhaps:

Top 20 by revenue.

Top 20 by gross profit.

Customers management suspects are difficult.

Customers receiving major discounts.

Customers with unusual service requirements.

Customers paying slowly.

Then look at patterns.

For high-volume consumer businesses, segment-level profitability may initially be more useful than individual analysis.

For example:

Customer type.

Order type.

Channel.

Region.

Service tier.

Acquisition channel.

The method should fit the business.

Do not assume your largest customers create most of the profit

Customer profitability can be highly concentrated.

Academic work on customer profitability has long examined the way profits are distributed unevenly across customer bases rather than assuming revenue and profit follow the same pattern.

The 2008 cost-to-serve case study mentioned earlier found an especially dramatic concentration: 80 per cent of margin after cost-to-serve came from only 6 per cent of that company's customers. That is one company's result and absolutely should not be turned into some ridiculous universal “6 per cent rule”.

The useful point is simply:

Look.

Your customer base may contain far greater profitability variation than revenue reporting suggests.

Beware the inevitable “80/20” bullshit

Someone will probably tell you:

“Twenty per cent of customers create 80 per cent of profit.”

Maybe.

Maybe not.

Pareto-style concentration appears in many datasets.

That does not mean your business will conveniently produce that exact ratio.

Calculate yours.

Do not build customer strategy around somebody else's catchy number.

Current profitability and future value are different

Imagine a new customer.

Year one includes:

Sales acquisition cost.

Setup.

Onboarding.

Training.

Integration.

The first twelve months may look mediocre.

But the customer is likely to remain for ten years with low ongoing servicing cost.

That could be an outstanding relationship.

This is why customer profitability analysis and customer lifetime value are related but different.

Research distinguishes current or historical customer profitability from the expected value of the customer's future relationship. One published portfolio-analysis study explicitly combined customer profitability with lifetime value, creditworthiness and payment performance rather than treating today's margin as the whole picture.

Do not fire a fantastic long-term customer because onboarding month looked expensive.

Equally, do not use imaginary future value to excuse terrible customers forever

This goes the other way too.

“They've got huge potential.”

For how long?

The customer has produced awful margin for four years.

Pays slowly.

Requires constant support.

But apparently:

“One day this account could be massive.”

Maybe.

What evidence?

Pipeline?

Committed growth?

New contract?

Strategic expansion?

Or hope?

Future value should be based on reasonable assumptions.

Not commercial fan fiction.

Loyalty does not automatically equal profitability

A customer buying from you for ten years feels valuable.

Often they are.

But longevity alone does not guarantee attractive economics.

Historic research into customer lifetime value and profitability has repeatedly shown that customer behaviour, frequency, value, service demand and future cash flows matter more than simply assuming long relationships are always the most profitable.

An old customer on a heavily discounted legacy price may be much less profitable than a newer account.

Loyalty is good.

Profitability still needs measuring.

Referrals and strategic value can be real

Some customers create value beyond their invoices.

Perhaps they:

Refer excellent customers.

Provide credibility in a target sector.

Act as a useful case study.

Help you enter another market.

Purchase several services.

Create predictable baseline workload.

Provide useful product feedback.

Fine.

Include strategic value in the decision.

But keep it separate from financial profitability.

Do not say:

“They're profitable because they give us great exposure.”

Say:

“The account loses £15,000 annually on direct economics, but we currently choose to retain it because it creates this specific strategic value.”

That is an informed decision.

Very different.

Put a value on referrals where you reasonably can

If a customer has referred:

Six customers.

Producing £400,000 gross profit.

that matters.

You may not allocate the entire £400,000 back to the referring customer, but you should recognise the relationship has broader value.

Likewise:

A reference customer who materially helps you win tenders may be commercially useful beyond their direct spend.

Again, specificity matters.

“Good for the brand”

is not the same as documented strategic value.

Capacity changes the profitability question

This is where customer profitability becomes strategic rather than simply accounting.

Imagine Customer A creates:

£40,000 annual contribution.

Customer B creates:

£55,000.

B looks better.

But B consumes three times as many specialist engineering hours.

Those engineers are already at capacity.

The company is currently turning away high-margin work.

Now the scarce resource matters.

How much contribution does each customer generate per unit of constrained capacity?

This question becomes more important as businesses become busy.

When capacity is abundant, moderately profitable customers may be perfectly sensible.

When capacity is scarce, opportunity cost rises.

Article #65 touched on this from the perspective of deciding whether to exit a customer.

Customer profitability tells you who deserves the capacity before you reach that decision.

Contribution per scarce hour can be incredibly revealing

Suppose:

Customer A produces £50,000 contribution using 500 specialist hours.

That is approximately:

£100 contribution per specialist hour.

Customer B produces £60,000 contribution using 1,500 specialist hours.

Approximately:

£40 per specialist hour.

B produces more absolute contribution.

A uses scarce capacity much more efficiently.

Which one is better?

Depends on your constraint.

If specialist labour is the bottleneck, this analysis matters.

If specialist capacity is sitting idle, perhaps less.

Profitability depends partly on what resource the business is trying to optimise.

Risk belongs in the conversation

A customer producing excellent margin can still create risk.

Perhaps they represent:

40 per cent of revenue.

Or:

Their financial health looks weak.

Or:

The contract contains significant liability.

Or:

Payment disputes are increasing.

Or:

Their industry is deteriorating.

Risk does not necessarily mean the customer is unprofitable.

Keep the terms separate.

But customer portfolio decisions should consider:

Profitability.

Future value.

Risk.

Concentration.

A brilliant customer can still become a dangerous dependency.

Customer concentration can distort your behaviour

This is where large customers gain power.

They represent 30 per cent of revenue.

They ask for:

Another discount.

Longer terms.

Extra service.

You agree because losing them feels terrifying.

Over time, profitability erodes.

The customer did not necessarily do anything wrong.

They negotiated.

You accepted.

The real problem is dependence.

A stronger customer portfolio gives you the agency to negotiate based on economics rather than fear.

Build a simple customer profitability scorecard

Do not begin with 48 measures.

For major customers, I would want to understand:

Annual revenue

What do they actually spend?

Gross profit

What remains after direct product or delivery cost?

Cost-to-serve

What identifiable additional resource does the relationship consume?

Customer contribution

What remains after those costs?

Payment performance

Do they pay as agreed?

How much working capital do they consume?

Capacity

What scarce resources does the customer use?

Future value

What realistic commercial potential exists?

Risk

Concentration, credit, contractual or strategic risk.

Relationship quality

Is the relationship workable and constructive?

You can add sophistication later.

Those categories already produce a much better conversation than:

“They are our third-largest customer.”

Your CRM, finance and operations data need to meet

This is one reason customer profitability often remains invisible.

Finance knows:

Revenue.

Credits.

Payment.

Operations knows:

Labour.

Rework.

Deliveries.

Customer Service knows:

Complaints.

Sales knows:

Discounts.

Account Management knows:

Meetings.

The owner knows:

How many times the customer called them on Sunday.

None of the systems connect.

So the customer looks brilliant in the sales report.

Customer profitability is partly an information-flow problem.

You need enough of those perspectives in one place to understand the relationship properly.

You do not need perfect data to begin

Owners often postpone this because:

“Our systems don't capture it properly.”

Fine.

Estimate.

For your top ten customers, sit with the people actually serving them.

Ask:

Roughly how much account-management time?

How many unusual deliveries?

How much rework?

How many complaints?

How much senior involvement?

Are they unusually complex?

You will not get an audit-grade number.

You will probably discover enough to identify where deeper measurement is justified.

Approximate insight is better than precise ignorance.

But do not let opinion become the number

There is a danger on the other side.

Operations says:

“That customer is a fucking nightmare.”

Okay.

How?

What do they consume?

How often?

How much?

Maybe the customer genuinely is expensive to serve.

Or maybe one employee dislikes their procurement manager.

Use subjective experience to identify where to investigate.

Then use evidence where possible.

Customers can be profitable for one part of the business and destructive for another

Sales loves them.

Finance hates them.

Operations despises them.

This is useful information.

Why does each department see the customer differently?

Sales sees:

Revenue and commission.

Finance sees:

Slow payment.

Operations sees:

Complexity.

Customer Service sees:

Complaints.

Leadership needs the complete picture.

That is why customer profitability should be a management discussion, not a Finance spreadsheet nobody else sees.

Sales incentives can create unprofitable customers

Suppose a salesperson earns commission on revenue.

They win:

£500,000.

Brilliant.

Whether that work generates:

£150,000 contribution

or:

£20,000

may not materially change their reward.

What behaviour should you expect?

Revenue.

This does not mean every company should pay commission purely on profit.

That can create its own complications.

But incentives should not actively encourage people to win work the company does not actually want.

At minimum, salespeople need visibility around:

Margin.

Discount authority.

Customer fit.

Commercial terms.

Winning work is not enough.

Winning good work is the objective.

Do not punish Sales for costs they cannot control

Be fair here too.

If Sales wins a perfectly sensible contract at good margin and Operations then creates:

Rework.

Labour overruns.

Poor scheduling.

that is not evidence Sales won a bad customer.

Customer profitability can deteriorate because your company serves the account inefficiently.

The analysis should help identify where responsibility sits.

Not become ammunition in departmental warfare.

Segment customers by what you should do next

Once you have the information, avoid immediately ranking everyone from saint to bastard.

Different customers need different action.

Highly profitable and strategically valuable

Protect them.

Understand why the relationship works.

Maintain service.

Do not take loyalty for granted.

Profitable but high cost-to-serve

Good account.

Look for ways to reduce unnecessary service cost without damaging value.

Low profitability but fixable

These are often the biggest opportunity.

Reprice.

Change scope.

Reduce bespoke service.

Introduce minimum orders.

Change delivery terms.

Adjust account management.

Improve your own delivery.

Currently weak but strategically valuable

Make the strategic case explicit.

Set a time horizon.

Define what needs to improve.

Do not subsidise indefinitely because somebody once used the word “strategic”.

Persistently loss-making with little strategic justification

Now Article #65 becomes relevant.

Why are you continuing?

Fix the economics before firing the customer

Customer profitability analysis should create options.

Perhaps the customer is expensive because they place 100 small orders.

Could you introduce:

Minimum order values?

Scheduled consolidated deliveries?

Online ordering?

Perhaps management time is enormous.

Could service move to:

A structured account-review process?

Perhaps reporting is bespoke.

Could it become:

A paid premium service?

Perhaps payment is slow.

Could you agree:

Deposit?

Stage billing?

Shorter terms?

Direct debit?

The purpose of analysis is not to create a hit list.

It is to understand how to improve the customer portfolio.

Some of the best profitability gains require no new customers

This is the interesting bit.

Business growth conversations naturally focus on:

More leads.

More sales.

More customers.

But imagine you already have 200 customers.

You discover that:

Thirty produce weak margin because of old pricing.

Ten create huge servicing costs.

Fifteen require commercial terms that no longer make sense.

Improving the economics of the existing base might produce more profit than winning another fifty customers.

And without adding equivalent operational workload.

That is leverage.

Customer profitability should influence pricing

Do not necessarily charge every customer a different random price based on how annoying they are.

That is hardly a sophisticated pricing strategy.

But understand what drives cost.

Perhaps your pricing needs explicit charges for:

Express delivery.

Custom reporting.

Tiny orders.

On-site support.

Complex setup.

Emergency work.

Additional revisions.

Those are service features.

Price them.

Good profitability analysis often reveals which apparently “free” parts of your offer are not remotely free to deliver.

It should influence service design too

Perhaps the highest cost-to-serve comes from:

Phone-based order entry.

Could standard customers use a portal?

Perhaps account reviews are consuming enormous senior time.

Could they become quarterly rather than monthly?

Perhaps every customer receives the same premium support level regardless of value.

Do you need different service tiers?

Cost-to-serve analysis can improve the system instead of merely identifying expensive people inside it.

That was also a conclusion of the published cost-to-serve case study: profitability information can support changes to commercial policy and the way service activities are designed, rather than simply customer removal.

Payment performance should affect commercial terms

If one customer repeatedly pays late, chasing them is only the visible cost.

There is also:

Cash tied up.

Potential borrowing.

Reduced investment flexibility.

Management attention.

Risk.

The Small Business Commissioner specifically encourages businesses to establish clear payment terms, invoice accurately and promptly, and manage overdue payments actively rather than treating collection as an afterthought.

A customer's price and service proposition should make sense alongside the credit you are effectively extending to them.

Review profitability periodically

Customer economics change.

A fantastic customer becomes difficult after acquisition.

A previously demanding customer standardises their process.

Pricing increases.

Volumes change.

A new manager improves the relationship.

Payment performance changes.

Your own systems become more efficient.

This is not a one-off classification exercise.

For major accounts, review periodically.

Maybe quarterly.

Maybe annually.

Frequency depends on the business.

The point is not to label:

GOOD CUSTOMER

in permanent marker.

It is to understand the current economics.

A practical 30-day customer profitability audit

If you have never done this, keep it manageable.

Week 1: Choose the customers

Start with perhaps:

Your largest accounts.

Customers management believes are unusually demanding.

Customers receiving significant discounts.

Customers with poor payment behaviour.

And a few customers everyone believes are excellent.

The comparison is useful.

Week 2: Build the basic economics

For each customer, establish:

Revenue.

Gross profit.

Discounts and credits.

Payment terms.

Payment performance.

Then identify the major additional service activities they create.

Do not chase pennies.

Find material differences.

Week 3: Speak to the people serving them

Ask:

Sales.

Operations.

Finance.

Customer Service.

Account Management.

What does this customer require that a normal customer does not?

Where does time go?

What problems recur?

What would we change if we could redesign the relationship today?

This is where hidden cost appears.

Week 4: Decide what to do

Protect excellent relationships.

Repair weak economics.

Reprice where justified.

Redesign service.

Improve internal delivery.

Change terms.

Create a deliberate strategic exception where appropriate.

Or consider exiting the relationship if the economics cannot reasonably be fixed.

Then measure again later.

One of my favourite questions still works here

Article #65 used this question when deciding whether to fire a customer:

Would we knowingly take this customer on today?

For profitability analysis, expand it:

Knowing their revenue, margin, cost-to-serve, payment behaviour and capacity requirement, would we actively pursue another customer exactly like them?

That is incredibly revealing.

If the answer is:

Absolutely. Give me twenty of them.

Wonderful.

You have learned something about your ideal customer.

If the answer is:

Jesus Christ, no.

You have learned something equally valuable.

Your ideal customer should be commercially ideal, not merely pleasant

Marketing teams often create ideal-customer profiles around:

Sector.

Company size.

Location.

Job title.

Problem.

Fine.

Add economics.

Which customers produce:

Healthy margins?

Predictable delivery?

Good payment?

Reasonable service requirements?

Retention?

Good use of capacity?

The best target market is not merely the group most likely to buy.

It is the group most likely to create mutually valuable business.

That should influence marketing and sales strategy.

Profitability data should change who you try to win

This completes the loop.

Suppose analysis shows:

Manufacturers with 50 to 250 employees produce excellent customer contribution.

Very small firms buy frequently but consume enormous support time.

Large corporates generate strong revenue but margins suffer through procurement discounts and bespoke requirements.

Now Marketing has useful information.

Sales has useful information.

Perhaps the next campaign deliberately targets the segment creating the best overall economics.

That is considerably more intelligent than telling Marketing:

“We just need more leads.”

More of which leads?

Do not optimise solely for profitability today

One final warning.

If you managed customers purely by immediate current-period profit, you could make stupid decisions.

You might stop investing in:

New customers.

Developing markets.

Strategic relationships.

Innovation.

Accounts with genuine growth potential.

Customer profitability is an input.

Not an algorithm replacing management judgement.

Academic customer-lifetime-value literature exists precisely because forward-looking value can differ from current-period profitability, while risk and payment behaviour can materially change how a relationship should be assessed.

The objective is not:

Keep only the customers producing the highest margin today.

It is:

Understand the economics well enough to make deliberate customer decisions.

Revenue is vanity if you never ask what survives

A customer can make your sales report look fantastic.

Keep employees busy.

Give you a recognisable logo for the website.

And still produce very little economic value.

Another customer can quietly buy a moderate amount, pay on time, use the service exactly as designed and generate excellent contribution year after year.

Which one is more important?

You cannot answer from turnover.

Measure:

What they buy.

What it costs to deliver.

What it costs to serve.

How they pay.

What scarce capacity they consume.

What future value realistically exists.

What risk they create.

Then decide what the relationship deserves.

Some customers need protecting.

Some need repricing.

Some need a different service model.

Some need your own operation fixing.

And some, eventually, may need leaving.

But first you need to know the numbers.

Because the customer spending the most money with you is not necessarily the customer making you the most money.