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Manual · Page 39 · 18 min

Chapter 37 | Segmenting Customers to Act Better

Chapter 37 | Segmenting Customers to Act Better - online reading page from the From Sales to Cash handbook, dedicated to the Quote-to-Cash cycle and Credit Management.

Not all customers should be treated in the same way.

This idea may seem obvious, but it is not always applied in accounts receivable management. Many companies use relatively uniform rules: same reminders, same escalation timelines, same tolerance levels, same blocking processes, same limit reviews, same global indicators.

Yet customers are very different.

A profitable, strategic, solvent large account with administrative complexity is not managed in the same way as a small, risky and low-profit customer.

A customer that always pays on time does not require the same attention as a customer that often promises but rarely pays on the announced date.

A high-potential customer may justify progressive support, while a low-margin customer that consumes a lot of cash must be framed more strictly.

A customer that generates many operational disputes should not be treated like a customer that pays late by treasury choice.

Segmentation makes it possible to adapt action to value and risk.

It avoids two mistakes: treating good customers too harshly and treating dangerous customers too lightly.

Segmenting Does Not Mean Complicating

Segmenting does not mean creating a gas factory.

The objective is not to multiply categories until action becomes unreadable.

Segmenting means recognizing that customers do not all have the same economic, commercial, financial and operational profile.

The objective is very practical: decide how to act.

What credit limit should be granted?

What level of monitoring should be applied?

What type of reminder should be used?

What degree of tolerance should be accepted?

When should the case be escalated?

When should a down payment be requested?

When should the account be blocked?

When should the company negotiate?

When should time be invested in resolution?

Segmentation must therefore remain actionable.

Good segmentation is not a theoretical classification.

It is a tool for better decision-making.

Amount: Measuring Cash Impact

The first segmentation criterion is often the amount.

A customer representing an outstanding balance of 2 million euros does not have the same impact as a customer representing 2,000 euros.

This is not a matter of commercial consideration. It is a matter of cash impact.

Large outstanding balances must be monitored more carefully, because even a moderate delay can tie up significant amounts.

A major customer paying fifteen days late can consume more cash than a hundred small customers with isolated delays.

Amount therefore makes it possible to prioritize.

Customers with high outstanding balance.

Customers with large individual invoices.

Customers with significant orders in progress.

Customers whose exposure is increasing quickly.

Customers concentrating a significant share of accounts receivable.

These customers often deserve specific monitoring: regular review, preventive chasing, dedicated forecast, limit analysis, dispute monitoring, direct contact with customer teams.

Amount does not say everything, but it indicates where the financial impact is strongest.

Risk: Protecting the Company

The second criterion is risk.

A customer may be risky for several reasons: fragile financial situation, deteriorated payment behavior, sector in difficulty, unstable country, reduced insurance coverage, broken promises, frequent disputes, lack of transparency, high exposure or limit overrun.

Risk must influence the intensity of monitoring.

A low-risk customer can be managed with smoother processes.

A high-risk customer must be monitored closely: stricter limits, shorter payment terms, down payments, guarantees, preventive chasing, faster blocking, validation of exceptions, frequent review.

Risk does not necessarily mean refusal.

As seen previously, risk can be structured.

But it must be recognized.

Treating a risky customer like a normal customer means accepting exposure without sufficient awareness.

Segmentation by risk helps avoid this normalization.

Profitability: Looking at Real Value

A customer should not be evaluated only by revenue.

Profitability must be considered.

A high-margin customer may justify a certain level of effort, time or support.

A low-margin customer tolerates hidden costs much less: payment delay, disputes, deductions, reminders, invoice corrections, sales time, limit consumption, risk of loss.

Two customers may represent the same revenue and the same outstanding balance, but create very different value.

The first pays at 45 days, generates few disputes and leaves a comfortable margin.

The second pays at 90 days, often disputes, regularly deducts and negotiates low prices.

The second consumes much more cash and energy for lower economic value.

Segmentation must therefore integrate margin or, at minimum, an assessment of profitability.

A low-profit and risky customer must be strongly framed.

A profitable but complex customer may deserve a more structured treatment.

Profitability gives meaning to the risk accepted.

Payment Behavior

Payment behavior is one of the best segmentation criteria.

It is based on facts.

Does the customer pay on due date?

Does it always pay late?

Does it wait for reminders?

Does it respect its promises?

Does it pay in one installment or partially?

Does it often deduct amounts?

Does it provide remittance advices?

Does it answer quickly?

Does it dispute late?

Real behavior is sometimes more useful than the commercial image of the customer.

A very solvent large group can be a poor operational payer. It will probably pay, but late and with a lot of effort.

A financially more fragile SME can be very disciplined and transparent.

These two customers should not be treated in the same way.

Segmentation by behavior makes it possible to adapt reminders.

Punctual customer: light and preventive reminder if needed.

Slow but reliable customer: anticipatory chasing, monitoring of payment cycles, discussion on real payment delays.

Customer with fragile promises: written commitment, strict follow-up, quick escalation if not respected.

Conflictual customer: reinforced documentation, dispute qualification, payment of the undisputed amount.

Silent customer: firmer action and risk review.

Behavior turns credit policy into real experience.

Strategic Dimension

Some customers are strategic.

They open a market. They represent an important reference. They bring significant volume. They make it possible to develop a product range. They are linked to a long-term relationship. They may have strong future potential.

The strategic dimension must be taken into account.

But it must not be used as an excuse to ignore risk.

A strategic customer may justify specific treatment: arbitration committee, adapted limit, negotiated terms, reinforced support, high-level monitoring, regular review.

But strategic does not mean unlimited.

A strategic customer that pays poorly consumes a lot of capital. A strategic customer with recurring disputes can damage margin. A strategic customer imposing very long payment terms must be analyzed economically.

The right question is: what exposure are we willing to accept for this strategic value, and under which conditions?

Strategic segmentation makes it possible not to treat a key customer like an ordinary customer, but it must remain framed by clear decisions.

Non-Strategic Customers

Conversely, some customers are neither strategic, nor very profitable, nor promising.

If they are simple, punctual and low-risk, they can be served efficiently with standard treatment.

But if they also consume cash, generate disputes or pay poorly, the company must ask a question.

Why mobilize a lot of energy on a customer that brings little value and a lot of friction?

Segmentation makes it possible to ask this question without emotion.

Some customers must be served in a more standardized way, with strict conditions, few exceptions, down payments if necessary, or even reduced exposure.

The company does not have to devote the same management intensity to all accounts.

Team time is a scarce resource.

It must be directed toward customers where it creates the most value or protects the most risk.

Disputes as a Segmentation Criterion

A customer that generates many disputes must be identified.

These may be price, quality, delivery, quantity, contract, penalty, credit note, deduction or supporting document disputes.

The question is to understand why.

Is the customer particularly demanding?

Are our invoices often incorrect?

Are commercial agreements unclear?

Are deliveries genuinely problematic?

Is the customer using disputes to delay payments?

A customer with recurring disputes must have a specific plan.

Clarification of terms.

Contract review.

Improvement of operational quality.

Reinforced documentation.

Payment of the undisputed amount.

Periodic resolution meeting.

Commercial or legal escalation if disputes are tactical.

Segmentation by disputes makes it possible to treat repeated causes.

It avoids discovering the same blockages invoice after invoice.

A customer that often disputes is not necessarily a bad customer, but it is a customer requiring reinforced management.

Administrative Complexity

Some customers are not financially risky, but administratively complex.

They require portals, strict purchase orders, formal receipts, specific formats, multiple documents, internal approvals, precise references, fixed payment cycles.

These customers may be solvent and important, but difficult to collect if the supplier does not master their process.

They must be segmented as customers with high administrative complexity.

This implies adapted actions.

Preventive chasing.

PO control before delivery.

Portal status monitoring.

Invoices compliant from the first issuance.

Identified AP contacts.

Systematic documentation.

Review of rejections.

Specific forecast.

A large administratively complex account should not be treated like a simple punctual customer.

The risk is not necessarily loss.

The risk is delay, effort and inefficiency.

Segmenting this complexity helps organize work better.

Potential

Commercial potential can also influence segmentation.

A new customer, still small, may become important.

A medium-sized customer may be in a development phase.

A strategic account may be in the process of being won.

Potential may justify progressive support.

But it must be credible.

Potential must not be a vague promise that justifies any level of risk.

It must be based on elements: contract, tenders, growth history, commercial plan, structured relationship, predictable orders, strategic positioning.

A customer with potential but no history can be treated with a progressive limit: first order secured, down payment, partial delivery, review after payment, gradual limit increase.

Segmentation by potential makes it possible to support commercial development while avoiding overexposing the company too early.

Potential gives a reason to invest in the relationship.

But it does not replace credit discipline.

Total Exposure

Segmentation must integrate total exposure, not only overdue invoices.

Exposure can include invoices not yet due, overdue invoices, open orders, deliveries not yet invoiced, services in progress, contractual commitments and sometimes group exposure.

A customer may have no delay today, but represent a very high exposure.

If this customer deteriorates, the impact will be major.

The company must therefore segment according to global exposure.

Customers with high exposure.

Customers close to their limit.

Customers with significant commitments not yet invoiced.

Customers with exceptional orders.

Customers with consolidated group exposure.

This reading makes it possible to anticipate.

Credit Management must not wait for an invoice to become overdue before paying attention to a customer.

Risk is built before due date.

Purchase Frequency and Regularity

The purchasing profile also matters.

A regular customer, with frequent orders and stable amounts, is easier to manage than a customer that rarely places very large orders.

The first allows continuous observation of payment behavior.

The second can create high one-off exposure without sufficient history.

Segmentation must distinguish recurring customers, one-off customers, seasonal customers, project customers and exceptional customers.

A project customer often requires milestones, validations and specific billing monitoring.

A seasonal customer may require temporary limits.

A significant one-off customer may require a down payment or guarantee.

Regularity makes it possible to adapt limits, forecast and Collections.

Not all purchasing models produce the same risk.

The Value-Risk Matrix

A simple way to segment is to cross value and risk.

Value may include revenue, margin, potential, strategic dimension and relationship quality.

Risk may include solvency, payment behavior, disputes, exposure, administrative complexity and concentration.

This gives four broad profiles.

High-value and low-risk customers.

High-value and high-risk customers.

Low-value and low-risk customers.

Low-value and high-risk customers.

This matrix is simple, but very useful.

It makes it possible to define different strategies.

High-value and low-risk customers should be developed and served efficiently.

High-value and high-risk customers should be supported, framed and closely monitored.

Low-value and low-risk customers can be treated in a standardized way.

Low-value and high-risk customers should be limited, secured or sometimes exited.

The matrix avoids confusing size, importance and economic quality.

High Value, Low Risk

These customers are the most favorable.

They generate revenue, margin, potential or strategic value, while paying correctly and presenting few disputes.

The objective is to facilitate the relationship without losing discipline.

They should not be overloaded with unnecessary controls.

Collections can be preventive and professional, but not excessively aggressive.

Limits can be adapted to real volume.

Terms can be monitored but with reasonable confidence.

These customers deserve good administrative service quality: clean invoices, clear contacts, fast resolution of small issues.

The risk would be to treat them like difficult customers and create unnecessary friction.

A good customer should feel that the relationship works.

Segmentation also serves to protect the experience of good customers.

High Value, High Risk

These customers are the most sensitive.

They may represent a lot of revenue, margin or potential, but they also consume a lot of cash or present significant risk.

They may be very slow large accounts, demanding strategic customers, growing but fragile customers, complex countries, heavy projects, or customers with frequent disputes.

These customers must not be treated automatically.

They require reinforced management.

Regular review of outstanding balance.

Adapted and documented limit.

Preventive chasing.

Specific forecast.

Dispute monitoring.

Arbitration committee if necessary.

Structuring conditions: down payment, guarantee, milestones, partial payment, split delivery.

Fast escalation in case of drift.

The objective is not to refuse them systematically.

The objective is to turn their risk into structured risk.

These customers require active management.

Low Value, Low Risk

These customers are simple.

They do not represent a major issue, but they pay correctly, generate few disputes and do not consume much effort.

They can be treated with standardized processes.

Automatic or semi-automatic reminders.

Simple limits.

Standard terms.

Light periodic review.

Clean-up of small balances.

The issue is efficiency.

Too much manual time should not be spent on accounts that do not justify it.

Here, segmentation makes it possible to automate or simplify without taking excessive risk.

A well-designed standard treatment is often enough.

Low Value, High Risk

These customers raise an economic question.

They bring little value but consume a lot of cash, time or risk.

Frequent delays.

Disputes.

Deductions.

Low margin.

Irregular orders.

Broken promises.

Disproportionate administrative complexity.

In these cases, the company must be stricter.

Short payment terms.

Down payment.

Payment before delivery.

Low limit.

No unapproved exception.

Fast block in case of overdue invoice.

Reduction of the relationship if necessary.

Sometimes, the company must accept not to continue with some customers.

Not all sales deserve the same effort.

A low-value, high-risk customer can destroy more value than it creates.

Segmentation helps see this clearly.

Adapting Collections

Collections must be adapted to segments.

A major and reliable customer may benefit from personalized preventive chasing, focused on coordination.

A high-risk customer must be followed with precise commitments and fast escalation.

An administratively complex customer must be monitored through status: invoice received, portal accepted, receipt validated, payment scheduled.

A low-value customer can be handled through standardized reminders, except if there is a specific risk signal.

A conflictual customer must receive precise requests: disputed amount, supporting document, payment of the undisputed amount, resolution date.

Adapting Collections does not mean being unfair.

It means using the right level of effort and the right tone.

The reminder must correspond to value, risk and cause.

The same email sent to all customers is rarely the best answer.

Adapting Credit Limits

Credit limits must also reflect segmentation.

A high-value, good-paying, stable and profitable customer may justify a comfortable limit, consistent with its volume and terms.

A high-risk customer may require a lower limit, even if it asks for more.

A customer with potential may receive a progressive limit.

A seasonal customer may have a temporary limit.

An administratively complex customer may have a sufficient limit but strict monitoring of invoices and portals.

A low-value and poor-paying customer must have limited exposure.

The limit is not only a number.

It is the translation of an arbitration between value, risk, behavior and commercial need.

Segmenting customers makes it possible to set smarter limits.

Adapting Payment Terms

Payment terms should not be totally disconnected from the customer segment.

A solid, strategic and profitable customer may obtain terms consistent with the relationship and the market.

A new, fragile or opaque customer may start with a down payment, short payment term or reduced limit.

A customer that systematically pays late may have its terms renegotiated.

A low-margin customer should not benefit from very long terms without compensation.

A customer with frequent disputes may require more precise milestones or partial payments.

Payment terms are a segmentation tool.

They must be negotiated according to value and risk, not only according to commercial habit.

Granting the same term to all customers may seem simple, but it can be economically inconsistent.

Adapting Arbitrations

Internal arbitrations must take segmentation into account.

Should an order be released?

Should a limit be increased?

Should a longer term be accepted?

Should a down payment be requested?

Should the relationship continue?

Should a dispute be escalated?

Should a credit note be granted?

These decisions cannot be made only invoice by invoice.

The customer segment must be considered.

A strategic, profitable and usually reliable customer may deserve a specific effort to resolve a blockage.

A low-profit, risky customer with recurring delays deserves less flexibility.

A high-potential customer with no history can be supported progressively.

An administratively complex customer must be managed by anticipation, not by repeated exception.

Segmentation gives a framework to decisions.

It makes arbitrations more coherent.

Segmenting Actions, Not Only Customers

Classifying customers is not enough.

Each segment must be linked to actions.

Without an action plan, segmentation remains decorative.

For each segment, the management logic must be defined.

Review frequency.

Type of reminder.

Level of automation.

Credit terms.

Escalation thresholds.

Blocking rules.

Need for specific forecast.

Dispute monitoring.

Sales involvement.

Validation of exceptions.

Segmentation becomes useful when it concretely changes the way of working.

A segment must answer the question: what do we do differently with this type of customer?

Segmentation Must Evolve

A customer does not always remain in the same segment.

A new customer can become reliable after several payments.

An old customer can deteriorate.

A small customer can become strategic.

A profitable customer can become low-profit because of discounts, disputes or delays.

An administratively complex customer can become smoother after process improvement.

Segmentation must therefore be reviewed.

It can be updated periodically, or when an event occurs: increase in outstanding balance, significant delay, major dispute, broken promise, change in terms, significant new order, financial deterioration, coverage reduction, change of country or activity.

A fixed segmentation quickly becomes obsolete.

Customer management must follow reality.

The segment is a snapshot at a given moment, not a permanent identity.

The Role of Sales in Segmentation

Sales must be involved in segmentation.

Sales brings information that figures do not always show: potential, strategy, relationship, competition, future projects, customer influence on the market, negotiation context.

But segmentation must not rely only on commercial feeling.

It must combine financial data, payment behavior, margin, disputes, outstanding balance, risk and field information.

Dialogue is essential.

A salesperson can explain why a risky customer deserves support.

The Credit Manager can explain which conditions make this support acceptable.

Segmentation then becomes a common language.

It makes it possible to talk about value and risk with more precision.

The Role of Credit Management

Credit Management is naturally at the center of segmentation.

It gathers data on outstanding balance, limits, payments, disputes, promises, risk, concentration and exposure.

It helps define the criteria.

It proposes adapted actions.

It challenges incoherent situations.

It updates segments according to the evolution of customer behavior.

It alerts when some customers change profile.

Its role is to turn segmentation into operational decisions: limits, terms, reminders, blocks, guarantees, monitoring, escalations.

Credit Management does not segment to produce a report.

It segments to better allocate the company’s capital, attention and effort.

The Role of Collections

Collections uses segmentation every day.

It helps prioritize reminders, adapt the tone, choose channels, escalate certain customers earlier, follow promises more closely, treat disputes differently and concentrate effort on high-impact accounts.

A collector cannot treat all invoices with the same intensity.

They must know where to call, where to write, where to escalate, where to automate, where to request a promise, where to mobilize the salesperson, where to resolve an internal cause.

Segmentation helps make these decisions.

It avoids purely chronological management of the aged balance.

It makes it possible to move from uniform Collections to targeted Collections.

The Role of Data

Segmentation depends on data quality.

To segment correctly, reliable information is needed.

Outstanding balance.

Overdue invoices.

Limits.

Payment terms.

Real payment history.

Promises kept or broken.

Disputes.

Margin.

Revenue.

Potential.

Strategic status.

Country risk.

Insurance coverage.

Unmatched payments.

Rejected invoices.

If data is scattered, incomplete or wrong, segmentation will be fragile.

A customer may be wrongly classified as a bad payer when its delays come from non-payable invoices.

A customer may be considered low-risk while its group exposure is very high.

Segmentation therefore requires data discipline.

It is also a good revealer of customer management maturity.

Example: Profitable Large Account with Administrative Complexity

A large account represents 15% of revenue.

It is solvent, strategic and profitable. But it often pays late because its portals are complex, receipts are slow and payments are grouped.

Treating it like a bad payer would be incorrect.

Treating it like a simple customer would be naive.

Its segment is: high value, low financial risk, high administrative complexity, strong cash impact.

The adapted actions are: preventive chasing, portal monitoring, PO control, identified AP contact, specific forecast, monthly review of rejections, fast resolution of blocked receipts.

Here, segmentation helps avoid the wrong answer.

The problem is not to apply pressure. The problem is to master the customer process.

Example: Low-Margin Poor Payer

A customer generates decent revenue, but with low margin.

It systematically pays late, often requests credit notes, rarely respects its promises and consumes a lot of collection time.

It is not strategic and its potential is limited.

Its segment is: low economic value, high behavioral risk, low profitability.

The adapted actions are: reduced limit, shorter payment term, down payment if the order is significant, fast block in case of overdue invoice, few exceptions, profitability review.

Segmentation helps say something difficult but necessary: this customer does not deserve a high consumption of capital and effort.

It must be framed, or even questioned.

Example: New Customer with Potential

A new customer has significant potential, but the company has no payment history.

Financial information is correct without being exceptional. The salesperson sees a development opportunity.

Its segment is: high potential, weak history, risk to observe.

The adapted actions are: moderate initial limit, down payment on first order, progressive delivery, review after payment, gradual increase of limit if behavior is positive.

Segmentation makes it possible to support development without overexposing the company.

The customer is neither refused nor treated like a mature account.

It is supported progressively.

Example: Customer with Recurring Disputes

A customer rarely pays on due date because it almost always disputes part of the invoices.

Disputes often concern prices and discounts.

After analysis, commercial agreements are often negotiated by email but poorly integrated into orders.

Its segment is: medium value, recurring price disputes, partial internal cause.

The adapted actions are: formalization of discounts, validation of exceptions, order control before billing, review with Sales, systematic payment of the undisputed amount.

Segmentation shows that the issue is not only the customer.

It is also the quality of internal transmission.

Key Takeaways

Not all customers should be treated in the same way.

Segmenting customers makes it possible to adapt Collections, credit limits, reminders, payment terms and arbitrations to the value and risk of each relationship.

Segmentation criteria can include amount, exposure, risk, profitability, payment behavior, strategic dimension, disputes, administrative complexity, potential, concentration and purchase regularity.

Useful segmentation must be actionable.

It must say how to treat each type of customer: standard or personalized reminder, preventive monitoring, strict or progressive limit, down payment, guarantee, dedicated forecast, fast escalation, automated management, dispute review or arbitration committee.

Segmentation avoids managing all customers with the same rule.

It makes it possible to dedicate more attention to high-impact customers, frame risky customers, simplify low-sensitive customers, support high-potential customers and question customers that destroy value.

In customer cash management, segmenting means recognizing a simple reality: the right action depends on the customer, its value, its behavior and the risk the company accepts to carry.