For the past weeks I have been arguing that your customer segmentation probably does not tell your people how to act. So here is a tool we have been using to fix that.
DISC roughly sorts behavioural preferences into four types. We usually use colours. Red is the dominant, fast, competitive type: they want to move, decide, and see results. Yellow is communicative, enthusiastic, and visionary: they respond to possibilities and the big picture. Green is relationship-driven, supportive, and looking for balance: trust and cooperation come first. Blue is analytical, structured, and detail-oriented: facts, logic, proof, and as few surprises as possible.

Is it scientifically perfect? No. People are not made of colours, most of us are mixtures, and behaviour shifts with the situation. I would never use DISC as a psychological diagnosis. However, as a working tool it is remarkably useful, because after one meeting one can produce a serviceable guess: more Red than Blue, probably Yellow-Red, possibly Green-Blue. That is enough. The colour is not the full truth about a person. It is a working hypothesis for the next interaction.

We once worked with a manufacturer of closure systems for the drinks industry. One of their largest customers was furious and threatened to cancel a contract worth around 50 million euros a year. The reason was not just that things had gone wrong in production and delivery. That happens. The problem was 𝘩𝘰𝘸 𝘪𝘵 𝘸𝘢𝘴 𝘩𝘢𝘯𝘥𝘭𝘦𝘥.

The contact on the customer side was a textbook Blue. When something broke, he wanted to know what had happened, what was being investigated, which hypotheses were on the table, when the next update would arrive. The supplier’s engineers ran on entirely different logic: we have a problem, we solve it, and when it is solved, we will call you. In effect they were treating him like a Red who would say, “Tell me when it is fixed and don’t waste my time until then”. But to a Blue, silence meant losing control.

We changed the communication first: regular status updates, clear next steps, and information even when the information was “We do not know the cause yet”. The relationship stabilised, and the contract stayed.
For the engineers this took some getting used to. The hardest lesson was that sometimes you tell a customer, repeatedly, that you still have not solved their problem. For a Blue, that news is far better than no news at all.
None of this requires secretly profiling anyone – it is all visible in ordinary working life. Observe how they communicate. How detailed are their emails? What do they ask? How fast do they want to decide? Do they react to a new idea with interest or with risk questions? And when your first guess is wrong, change it. The typology follows the customer. The customer does not follow the typology.

A good segmentation is not judged by how many segments it has, but by whether your people act on it. Does yours pass?

Last week I argued that knowing how big a customer is tells you very little about how to speak to them. So what does the second layer look like? Here is the answer you probably do not expect: it does not have to be sophisticated. It has to be used. And for that purpose, almost anything goes.

When we worked with a top pharmaceutical company, we split their doctors into “Angels” and “Devils”.

The “Angels” were in it to heal. Money barely registered with them; what moved them was patient outcome and clinical evidence. The “Devils” were, to put it plainly, motivated by earnings. Most doctors sat somewhere on the spectrum between the two, and that was part of the design. A sales representative had a mandate to place a customer on that line after a single conversation, without a workshop, a licence, or a scoring tool.

We chose those labels partly to be funny, and we were not being frivolous. A sales team can quietly bury a segmentation that arrives as a forty-page methodology. They will happily use one they can repeat to a colleague over lunch. Behind the joke sat the actual commercial reality of that audience, which the official segmentation, built on practice size and region, never touched at all.

What changed was the conversation. With an Angel you lead on patient outcomes, evidence, and time freed up for care. With a Devil you lead on margin, throughput, and reimbursement. Same product, same facts, different entry point. Neither version is dishonest. Both are true. You are simply choosing which truth to open with, instead of reciting the same pitch to everyone and hoping it lands.

That is the whole trick of a second-layer segmentation. It does not describe the company. It describes the person who has to say yes.

𝐈𝐟 𝐲𝐨𝐮 𝐡𝐚𝐧𝐝𝐞𝐝 𝐲𝐨𝐮𝐫 𝐬𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐚 𝐧𝐞𝐰 𝐬𝐚𝐥𝐞𝐬 𝐡𝐢𝐫𝐞, 𝐜𝐨𝐮𝐥𝐝 𝐭𝐡𝐞𝐲 𝐮𝐬𝐞 𝐢𝐭 𝐢𝐧 𝐚 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧 𝐭𝐨𝐦𝐨𝐫𝐫𝐨𝐰? 𝐎𝐫 𝐰𝐨𝐮𝐥𝐝 𝐭𝐡𝐞𝐲 𝐧𝐞𝐞𝐝 𝐚 𝐦𝐚𝐧𝐮𝐚𝐥 𝐟𝐢𝐫𝐬𝐭?

How do you segment your customers? Almost every company has an answer ready. Customer bases are sliced by revenue, by company size, by industry, by region, by potential, by new versus existing. B2B companies put a particularly great deal of energy into these models, and they earn their keep. A large international group needs different handling from a mid-sized firm, and a key account justifies a different level of resource from an occasional buyer.

The trouble starts when we segment accounts and stop seeing customers within these accounts as individuals.

A few years ago we worked on customer journeys with one of the largest MedTech companies in the world. We asked how they segmented their customers, in particular the doctors they worked with. The answer was, roughly: “We have large hospitals, small hospitals, and doctors’ practices.”

That was the entire segmentation.

For sales planning and resource allocation, that might have been perfectly adequate. For the question of how to talk to Doctor Müller on Tuesday morning, it was close to useless. We still did not know what drove him. Did he want the best possible outcome for his patients? Was he excited by new technology? Was he trying to make his department more efficient, advance his career, cut costs, or simply avoid being the person who introduced a new system that failed?

The hospital bought the device. But people made the decision.

This matters more in B2B than anywhere else. Consumer businesses can watch behaviour across enormous volumes of data: what people click, what they buy, which message moves them. B2B reality is usually the opposite. Few customers, high order values, long relationships, and several people involved in every decision. Procurement wants something different from the technical lead, and the managing director wants something different from the person who will actually use the thing. Worse still, two people with identical job titles can behave nothing alike. One wants to decide today. The other wants to understand every detail first.

Your segmentation is probably not wrong. It is just answering a different question from the one your salespeople face every morning.

𝐃𝐨𝐞𝐬 𝐲𝐨𝐮𝐫 𝐬𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐭𝐞𝐥𝐥 𝐚𝐧𝐲𝐨𝐧𝐞 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐜𝐨𝐦𝐩𝐚𝐧𝐲 𝐡𝐨𝐰 𝐭𝐨 𝐛𝐞𝐡𝐚𝐯𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐥𝐲 𝐭𝐨𝐦𝐨𝐫𝐫𝐨𝐰?

A customer fills in your survey, scores you a nine out of ten, and that is where it ends. Someone smiles at the dashboard. Meanwhile, the customer who scored you a four gets a call within the week.

That call-back is what we mean by Closing the Loop: doing something with the feedback a customer has just handed you. There is a small, or Tactical Loop, when you go back to the individual who answered, and ask them whether you can improve their experience specifically. And there is the Strategic Loop, where you draw conclusions from all the answers together, and establish long-term projects that require bigger change for all customers. Both loops get aimed almost exclusively at the unhappy customers, the Detractors in Net Promoter language.

That is understandable. It is also a waste, because your happy customers are one of the best sources of additional business you can ever get.

One of our clients was a German distributor of building materials. When we started their NPS programme, their sales team was openly sceptical about surveying anyone. As usual, the salespeople were convinced they already knew what their customers found important. Their Head of Sales saw the negative feedback, took it as a sales potential, and backed the programme fully.

The unexpected win, though, came from the happy customers. In this industry, a contractor buys from two or three suppliers at once, so that whatever material a building site needs is always available somewhere. Every customer relationship therefore has a Share of Wallet attached to it. So, we put the two numbers side by side: the NPS score and the Share of Wallet. Wherever a customer sat in the Promoter range but gave us less than half of their spend, the sales phoned them and asked flat out, why they were not getting the majority of their business.

Almost nobody took offence. Quite a few said something close to “you are right, I should be giving you more”. This one action, run in southern Germany alone, generated millions of euros in additional annual sales.

So stop saving your loop closing for the people who are angry with you. Phone the ones who like you and ask why they are not buying more. Sometimes the only reason is that nobody ever asked.

𝐖𝐡𝐞𝐧 𝐝𝐢𝐝 𝐲𝐨𝐮 𝐥𝐚𝐬𝐭 𝐜𝐚𝐥𝐥 𝐚 𝐡𝐚𝐩𝐩𝐲 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐭𝐨 𝐚𝐬𝐤 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬?

Let’s get down to business.

By now we have explained WHY any CX manager needs a solid understanding of how their initiatives are going to pay off; WHERE to start depending on the company strategy; and WHAT to look at in terms ofcustomer behaviours and metrics that reflect them.Time for the HOW. Here are several simplified calculations which are based on our past experiences in relevant industries (numbers are altered for confidentiality purposes, but reallistic).

Example 1: Telecommunications.

Scenario:

A telecom company is considering a CX initiative to improve onboarding and reduce early churn. The initiative includes redesigning the welcome journey and proactive customer follow-up in the first 30 days.

Key Metrics:

• Average monthly revenue per customer: €40
• Average customer lifetime: 24 months
• Customer Lifetime Value (CLV): €40 × 24 = €960
• Early churn rate (within 3 months): 20%
• New customers per year: 100,000

Expected Impact of CX Initiative:

• Required investment (one-time cost + training + tech): €1,000,000
• Reducing early churn from 20% to 15% will bring extra 5,000 retained customers (5% of 100,000)
• Each retained customer will have a CLV of €960 resulting inTotal additional value of 5,000 × €960 = €4,800,000 total benefit

ROI Calculation (ROI = (Benefit − Cost) / Cost)

ROI = (€4,800,000 − €1,000,000) / €1,000,000 = 3.8 aka 380%

Interpretation:

For every €1 invested in this CX improvement, the telecom company gains €3.80 in long-term customer value. The initiative pays for itself within the first year, and the value continues to grow as the retained customers stay, spend, and potentially buy more.

Example 2: Automotive.

Scenario:

An upscale automotive brand is considering a CX initiative to improve the after-sales service experience at its dealerships. By reducing customer dissatisfaction and subsequent churn they want to increase repeat business, and boost customer advocacy.The project includes employee training, process improvement, and proactive follow-up after service visits.

Key Metrics:

• Active customers per year: 10,000
• Average profit per car sold: €2,500
• Avg Nr of cars per customer lifetime: 1.5
• Customer Lifetime Value (CLV): €2,500 × 1.5 = €3,750
• Average aftersales profit per customer/year: €400
• % of Promoters in customer base: 40% (4,000)
• % of Detractorsin customer base: 20% (2,000)
• Promoter lifetime impact: 2 new customers
• Detractor lifetime impact: 1 lost customer

Expected Impact of CX Initiative:

• Required investment: €2,000,000
• Improved service experience leads to +10% increase in repeat after sales

Assume benefit lasts 2 years: €800,000

• Customer base shift to 60% promoters (6,000) and 10% detractors (1,000)

Increase Promotion: +2,000 promoters who bring × 2 new customers = 4,000 new customers

Reduce Detraction: 1,000 fewer detractors resulting in 1,000 fewer lost customers, i.e.1,000 retained or gained customers

Total customer gain = 5,000 new customers

Safely assuming new customers will have a 50% CLV of €3,750 (i.e. €1,875), the gain will be 5,000 × €1,875 = €9,375,000

• Additional uplift from more likely repeat purchases:

1% of customer base or 100 customers will buy an additional vehicle resulting in 100 × €2,500 = €250,000 extra sales profit

Total Benefit = €10,425,000

ROI Calculation:

ROI = (€9,375,000 + €800,000 + €250,000 − €2,000,000) / €2,000,000 = 4.21 aka 421%

Interpretation:

This CX initiative boosts repeat after sales visits, but also customer advocacy. Even assuming that new customers only realise 50% of the potential new value, the result is still powerful: €10,4 million in additional revenue from new customers driven by better experiences or a solid ROI of 421%.

In automotive, where every new customer counts and reputation lives long, what your existing customers say about you can be your best (or worst) investment.

Example 3. B2B Manufacturing.

Scenario:

A manufacturing company sells their products through a network of distributors. Contracts are long-term (up to 5 years), making churn difficult. But there is no structured way of working with customers, which results in continuous issues. Unhappy customers repeatedly ask for discounts. Reorders are slow and messy, and sorting them takes time and effort in multiple departments. Growth is slow, and share of wallet is reduced: nobody wants to build a close relationship with someone who is so painful to deal with.

The CX team proposes initiatives to:

• Streamline communication with distributors
• Introduce structured onboarding
• Create a “partner support desk” to improve response time and resolve issuesfaster

Key Metrics:

• Number of active distribution partners: 300
• Average contract value per year: €500,000
• Average contract length: 5 years
• Total contract value per partner,€500,000 × 5 €2,500,000
• Average extra discount given under negotiation pressure: 3%

Value leakage: €15,000 per year per partner

300 × €15,000 = €4,500,000 per year in lost margin

Expected Impact of CX Initiative:

• Required investment: (platform + training + support) €1,200,000
• Reducing average discounting pressure by1%willrecover €5,000 per partner/year, i.e. 300 × €5,000 = €1,500,000 annual gain
• Improving cross-sell effectiveness by 15% will add €25,000 per year for 25% of partners = 75 × €25,000 = €1,875,000
• Preventingrelationship deterioration in 10 key accounts will avoid loss of renewals worth €2,500,000. Assuming 50% likelihood, we retain €1,250,000.

Total Benefit = €4,625,000

ROI Calculation:

ROI = (€4,625,000 − €1,200,000) / €1,200,000 = 2.85 aka 285%

Interpretation:

In B2B, CX is oftenless about immediate churnand more about protecting long-term value. This example shows how investing in smoother relationships and better partner support directly improves profitability–not by gaining new clients, but by leaking less from existing ones and creating a fertile soil for future relationships.

Beyond the money talks.

You have mapped the metrics, made the model work, shown the CFO your projected returns. Still, something does not land. The room stays unconvinced. The numbers are solid–but something else is missing.

This is where we must recognise a deeper truth: the failure is not in the spreadsheet. It is in the absence of emotion that drives purpose.And these emotions which creates and supports meaning can be both personal and collective.

What’s in it for me?

Money cannot possibly be the only thing that defines a need in inherently good human experiences.A relationship is not a line item competing with machines, procurement savings, and yield optimisation. Even the most budget-conscious brands do not sell the mselves only speaking of money. They speak of simplicity, ease, trust, fairness–value beyond low price. Because they understand: no one gets emotionally invested in a margin uplift.

So, if you see that in your company CX is still perceived in terms of cost and return, then it’s time to revisit the Why. CX is not just about generating more revenue. It is about shaping how people feel when they interact with your company and what they remember and carry over. The real challenge is making sure that what we do is worth investing in. In the end, the battle for ROI will not be won with numbers alone. It will be won when CX earns its place as a meaningful driver of the company’s identity, values, and future.

Talk to us if you have recognised these challenges.We help companies define their Why in Customer Experience, prove the ROI of CX to the management, and create profitable CX strategies.

Futurelab is a European Customer Experience Management consultancy. Forover 20years we help our clients understand the needs of their customers, develop and manage the customer experience, and draw profit from customers’loyalty and word of mouth.

Show me the money.

Imagine you area CEO of a large company.You have hundreds of topics to deal with ona daily basis.Margins are under pressure, the board expects growth, your CIO is raving about a cool new tech that promises massive savings in headcount. Every decision requires budget. Investing €1 mln in new equipment will allow you to increase output by10%. More output–more sales. That’s a solid win. But then there is your CX manager talking about “managing journeys” and “reducing friction”, whatever that means. So, you ask the obvious question: “What will it return?”

Here is where the majority of CX improvements fall flat.The problem is not that we speak of happy faces in the room where only money talk is appreciated.The problem is that a conversation about CX usually brings up a problem but rarely offers a clear, simple solution. At least not in the way it is obvious to the C-level.Supposedly, we do this, and customers become happier. Then what? How much is a happy face worth?

If you’re happy and you know it, what is next?

This is why after understanding your company’s objectives (see Part 2 of the series LINK), you have to identify which behaviours of happy customers will lead to positive financial outcomes. Naturally, you should be able to measure and track these behaviours. Here are some examples: When customers are happy, they…:

• Buy more in volume and / or value
• Buy other products from you
• Stay with you longer
• Negotiate less
• Complain less
• Spend less time in service
• Prefer you to other competitors
• Recommend you to others, etc.

These are the absolute basics that you should be able to see in your CRM. However, every business is a little bit different, and every industry has its quirks.You should assess how your specific business model is operating:

1. Is it easy or difficult to switch to and from your product?

Your customers can buy more from you, but only if you offer them some thing extra. Most companies have a clear strategy for it: restaurants casually offer you a dessert, a car dealer suggests a higher value package, manufacturers have mass market and premium brands within their portfolios. But there is an opposite strategy too. Some business models like utilities or other services actually count on customers to go “dormant” and not review their conditions in fear that it would make them realise there is someone cheaper or better.This is why it is a question worthy of asking: do we actively encourage our customers to buy more from us, or are we happy if they remain as they are?

5. Is longer tenure a positive for your company–or not?

This is the part where many CX managers start hurting: sometimes a company may deem a customer not valuable enough to keep. This happens in higher-net-worth services like banking or finance but can also be seen in other businesses. Knowing your company’s strategy towards different customer segments is a start to understanding whether you need to look at churn or not.

But the situation may not even beas dramatic. We used to work for an automotive company which proudly made very reliable, sturdy cars. Calculating Customer Lifetime Value for them in some countries presented a challenge, because the happiest customers were showing the opposite of a positive financial behaviour. Their car never broke down, so they never had to buy another one.

6. Are negotiations and discounts perceived as good or bad?

The answer can beyes or no, depending on the business model, the industry, the geography. High net worth goods and services will never make any special offers or discounts because this will devalue their brand. Sometimes, negotiation is a necessary and required part of business: most B2B relationships will require a review after the term is complete or even during the term. It is the percentage of the margin given away that will decide whether this account has a high value after all. Still the majority of businesses would see it as a necessary evil and will try to avoid it.

7. Are your customers actually discussing you?

The answer is most likely yes; at least we haven’t seen a product that would not be up for a conversation yet, and we have seen a few, from funeral insurances to plastic bottle closures.These conversations are the biggest non-monetary value that a happy customer creates (and a reason we measure NPS). Good will and good word of mouth have long-term financial impact. Happy customers tell others about their positive experiences. They explain away your faults. They bring their friends. They leave positive reviews online. Luckily, in our time and day these things are easy to track through surveys and social listening.

This looks like a long list of behaviours to track. But you should keep in mind that not all of these parameters will be present in your case.You will need to look at your business and check which parameters make sense–and what numbers are actually available.

Measure what matters

Still, you should be able to find the right number within your organisation. Here are some examples of the metrics you coulduse:

Please remember that you do not need to start with all of these data. Choose the first metrics for the model based on what is available, relevant, and easy to explain. Perfection is the enemy of progress.Your first model should be something everyone in the business can understand and use.Whatever the goal you have set for this exercise, the ultimate objective is that the organization understands what you are trying to do and aligns your vision.When everyone knows how CX creates value, better decisions follow. In the final Part of this series, we will give you several good examples of calculations, and talk about how to make your story so punchy, no CEO will say no to that CX investment you offer.

This is the second article in a series of Futurelab columns for consulting.de, focused on making the business case for Customer Experience (CX). In the first part (LINK) we talked about why CX Managers need to prove ROI at all(reminder: it is because ROI discussions are budgeting discussions).We also briefly talked about several approaches to the topic.In this article, we will tackle the first steps towards a pragmatic ROI modelling.

“So, you are telling me if we do this,we will sell more?”

The CFO asks:“How much more revenue will this generate?”

Before you answer, the COO jumps in:“Can it free up headcount in support?”

The sales add:“If we do it, will they buy more?”

If CX worked like a magic wand, everyone would already live in Schlaraffenland. But it doesn’t. It is a layered topic influenced by multiples takeholders. And it takes time.This is why we are trying to chart a course to the land of plenty–for people who care only about keeping their own lawn tidy.Understanding how to address each one of these“What’s in it for me”questions is key to a successful CX budget discussion.

How can you find out what is needed? Ask yourself these questions:

1.What are our company’s priorities right now?

Are we focused on growth, cost-cutting, retention, efficiency, or transformation? Your ROI case needs to align with strategic objectives, i.e.what leadership actually cares about today.

2. Who is asking for the ROI–and why?

Is it Finance, Operations, Marketing, the CEO? Different company functions see value in different ways. Speak their language.

3.Is this about getting buy-in–or getting budget?

Are you trying to inspire action, win a debate, or justify an investment? A simple story may be enough for one, a full model required for another.

4.What kind of proof will be most convincing?

Are they looking for hard financial metrics, benchmark comparisons, customerquotes, or quick wins? Match evidence to mindset, not just to method.

5.Do I have access to relevant data–and if not, what’s a credible proxy?

Can you pull service cost numbers, retention rates, or NPS trends? If you find it difficult to get even the basic numbers, this is your starting point.

6.What action do I want them to take after this conversation?

Approve a project? Prioritise a roadmap? Change how they work? Define your ROI case in such a way it clearly points to the next best action towards the decision you need.

One, two, ROI

Quick reminder:Return on Investment is a financial metric that helps companies decide whether or not the effort is worth the outcome.The simplistic formula of ROI for Customer Experience efforts looks like:

CX ROI = (Business gains from good Customer Experience−CX investment costs) / CXinvestment costs

Let us see how this calculation can be done in practice.

Case Study: Organic Brews café.

The Organic Brews café notices that those customers who understand that they are buying organic coffee sourced directly from the producer are becoming frequent, loyal customers. One manager believes that they need to train their employees better so that they explain to customers what the values are and the benefits of organic coffee farming. Another one thinks that a loyalty app that awards10th coffee for free would be better for money. How should they compare investments into these two CX initiatives? Should they create an emotional connection through staff engagement and storytelling,or behavioural reinforcement through incentives? Let’s look at ROI after one year:

Option 1: Employee Training (Emotional Connection)

Investment: €3,000 (staff training on storytelling and brand purpose).

Expected Impact:

150 customers feel a stronger emotional connection to the location.They visit 1.5 more times per month. The average customer ticket is €4, but in this case they and spend €2 extra per visit, opting for a higher quality brew.

Revenue Gain:

€3 extra per month × 12 months = €36 more per customer

150 customers × €36 per customer = €5,400

ROI:

(€5,400 − €3,000) / €3,000 = +80%

Option 2: Loyalty App (Habitual Behaviour)

Investment: €4,000 (app build + free coffee rewards)

Expected Impact:

150 customers use the app. Each one visits 2 more times per month, creating 24 extra visits a year). They spend the same €4 per visit as they used to, therefore resulting in €96 more per year per customer.

Cost of free coffee reward: €9 per customer/year, therefore our Net gain per customer = €87.

Revenue Gain:

150 customers who use the app × €87 = €13,050

ROI:

(€13,050 − €4,000) / €4,000 = +226%

At this moment, it looks like the app is generating a higher ROI than the training. But is that the whole story?

Customer Lifetime Value: The complete picture.

We started this article with a set of questions: what is the purpose of your ROI calculation? The CX Manager needs to understand how Customer Experience reflects the company objectives. And companies have more targets than just revenues and profits for the current quarter. This is why the CX Manager needs to understand the long-term strategy as much as the short-term financial gains and losses.

Let’s continue to look at ROI, now with along-term perspective in mind. In the case of Organic Brews, the café’s owner is not just running a coffee shop.Their long-term objective is to grow the business sustainably, by promoting ethically sourced, organic coffee and strengthening direct relationships with producers. That means they are not just looking at short-term sales spikes, but at building a loyal community of customers who share their values, advocate for the brand, and support the mission over time.

And they know that the real value of a customer is not just what they spend this month. It is how often they come back, how loyal they remain, and how many others they bring with them over time.Similarly, they know that employees who receive training stay with the business longer and are more fulfilled personally.This is where Customer Lifetime Value (CLV) comes in.

CLV shifts the focus from single transactions to sustained relationships. A loyal café customer who comes in twice a week for years and brings their friends is worth far more than just their spend. Let’s revisit the two groups of customers:

• The app-driven customer increases frequency–they come back more often to earn rewards. But if a competitor offers a better deal, they may easily switch.

• The storytelling-driven customer connects emotionally with the café’s mission–they believe in the values, feel recognised by staff, and stay loyal even if a cheaper option appears.

Over three years, this difference compounds. The emotionally connected customer not only returns, but becomes a brand advocate, contributing to:

• Higher CLV (through repeat visits and add-ons like merchandise or events)

• Lower acquisition costs (thanks to referrals)

• Reduced price sensitivity (they are not just here for the deal)

And the impact is not just on customers.When staff are trained to tell stories and connect with customers, their own job satisfaction rises. They are no longer just processing orders–they are ambassadors of something they believe in. This tends to lead to:

• Lower employee churn, i.e. fewer hiring and training costs

• Higher service consistency, i.e. fewer complaints and errors

• Stronger internal culture, i.e. better customer experience over time

Let’s not take into account other expenses such as app maintenance or new staff training into account yet and just look at the CLV comparison.

So,what begins as a training programme,ends up influencing both top-line growth and bottom-line efficiency–not just this year, but for many to come.Storytelling customer of Organic Brew café have a higher lifetime value than Loyalty App customers. The café owner can now make a more informed decision.

In the next parts of our series, we will talk more about which metrics you can use for your ROI calculations, and the difference between calculations for different industries and business types (B2C vs. B2B).

This is the first in a series of Futurelab columns for consulting.de, focused on making the business case for Customer Experience (CX). In the coming weeks, we will explore hands-on ROI models, CX’s role in cost cutting and revenue growth, and how to tailor your argument for different stakeholders–from CFO to CMO to frontline ops.

“Why should I pay for happy faces?”

It was a classic moment: a CEO leaned back in his chair, spreadsheet open, and asked,“Why should I invest in happy faces? I need growth, not good vibes.

”We have just presented him with Voice of the Customer results showing high frustration rates in his contact center. His team wanted to act. He wanted numbers first.

Luckily, we had them:unhappy customers were costing the business €13 per year in service interactions. Happy customers? Just €4. Multiply that by 10 million customers, and the math speaks for itself.

His decision after this was easy.But our path to the model which providing him with these crucial ROI numbers was not.

“Topic for discussion”? More like “ammunition for a battle”.

Behind every ROI discussion sits a deeper issue: someone, somewhere, has to justify a budget. The CEO has promised growth to the board. The CFO wants efficiency and clarity.The head of service has a backlog of tech debt.The CMO wants to protect the brand. And HR is complaining about the cost of good people.CX initiatives, no matter how strategic they sound, are fighting for air in a zero-sum game. If you want your initiative to survive,“this feels important” or “customers want more” is not enough.There are already enough fires for CTOs to put out and more than enough new shiny toys for CEOs to play with.You need to show how CX contributes to revenue, reduces cost, or avoids risk–with numbers,and pronto.

But what do we mean by “ROI Model for CX”?

It is important to note that not every ROI conversation is the same. Before building your model, understand what kind of ask you are responding to:

• Budget politics: Someone needs ammunition in a fight over limited resources.You will need several short and sharp numbers, preferably supported by financial calculations.

• Cost-cutting pressure: You need to prove that CX is not “nice to have,” but core to running lean–for example, by showing that bad CX leads to rework, call volume, or churn.This is continuous exercise.

• Convincing stakeholders to act: The numbers are a motivational tool. You are not trying to be accurate–you are trying to create urgency.A simple chart or a strong customer quote that sways opinions may be enough.

• A real business case for investment: This is where detailed ROI models come in, with data from finance, operations, HR, and customer feedback. This will take time and work, but it will be worth it.

Match your model to the context. Do not build a complex framework when all that is needed is a sharp, emotionally resonant stat.

Start with what you have

Now let’s talk about what goes into your ROI equation. Look further than just the surface-CX affects both the top line and the bottom line. Here are just a few examples of what can go into your model:

Revenue Drivers

• Higher retention: Satisfied customers stay longer.

• Increased spend: Happycustomers buy more, more often.

Case: Lifestyle products manufacturer gained 2.3 times more revenue from accessories to their positively perceived product.

• More business through referrals: Good CX fuels advocacy. And referrals convert better and faster than any media campaign.

Case: Positive experience at bank branches let their customers recommend to up to 4 their friends or family members.

Cost Reductions

• Lower service cost: Unhappy customers waste time in complaints and negotiations and often require reimbursements.

Case:In the above-mentioned telecom company, we saw that happy customers required fewer call backs,made fewer complaints and fewer escalations–saving the call center millions per year.

• Operational efficiency: there are multiple ways of improving it, from reducing the number of unnecessary processes and to dropping damaging, time-wasting KPIs, to optimizing your products or services based on customerinsight.

Case: A utilities provider reduced onboarding steps from 18 to 5 and cut onboarding costs by over 50%.

• HR savings: In most cases, unhappy customers will negatively impact employee wellbeing.

Case: In a global automotive contact center, improving customer experience led to lower agent frustration, fewer sick days, less attrition–and reduced recruitment and training costs.

Tip: Tie CX to metrics your CFO already tracks: cost per contact, churn rates, training spend, cost of acquisition, revenue per customer, etc.

Done is better than perfect

ROI models are not sacred truths. They are tools for alignment, prioritization, and momentum.Save those very detailed models that are used in algorithmic sales, you do not need to get every decimal right–you need to make the case clear and compelling enough for someone to say “Yes, let’s do this.”

Start small if you must. Take one journey, one touchpoint, one team–and show what happens when CX improves. Because in the end, the only thing worse than not proving ROI is not even trying.

In the next chapters, we will talk about peculiarities of each type of ROI model calculation, and the differences between B2B and B2C models.

Have a question? Ask us here:

#NoBullshitCX

During a strategy workshop with the famous blue-and-yellow furniture giant, I introduced our simple ROI framework for CX (see Column 79.).

The reaction? Scepticism.

We asked if the company had data on purchase history per customer, margins, years of loyalty. People around the table were convinced they could never get the numbers. Too complicated, too inaccessible, too long. Desperate, I asked – you are a retailer, you run on numbers, is there ANYTHING we can use? We don’t have to get it perfect – we just have to start!

By the end of the day, I was almost giving up. But then I overheard a department lead calling a colleague from the back seat of a taxi:

“I’m trying to get these numbers for a business case, but I guess we don’t have them… Wait, we do? Oh wow… and they’re… oh wow.”

The next morning, we had numbers from every department.

How on earth did we go from “We don’t have any numbers” to “We have everything”? Apparently, the “not perfect, just working” was the right thing to say. That department head realised we were not chasing the perfect model – just credible, accessible data that everyone could agree on.

Since then, we stopped asking companies to create perfect, academic ROI models, because we know they will get stuck. Instead, we start with what we can get – and what people trust. Keep it simple, get agreement, build momentum. Perfection slows you down. Working models move you forward.

#NoBullshitCX

One thing we insist on when implementing any Voice of the Customer (VoC) programme: never – and I mean never – turn the score into a KPI tied to bonuses. The moment you do that people stop thinking about customers and start thinking about how to manipulate the number.

We have worked with several automotive brands on their VoC rollouts. In one country, we saw an excellent programme with strong insights, clear actions, and meaningful improvements. But when we returned a few years later, something had changed: suddenly, every dealership had a perfect 100% NPS. And no – that is not a sign of success. It is a sign of system failure.

Margins in car dealerships are razor-thin, and once NPS becomes part of the financial package, it warps the behaviour. You have probably heard it yourself: “Please give us a 9 if you are unhappy, a 10 if you’re happy.” Every now and then I even see it printed on a sign at reception (muffled screams).

If you want your VoC programme to actually improve customer experience, you have to incentivise action, NOT numbers. You have to reward teams for closing the loop, solving real problems, and learning from feedback. That is where the ROI is – and where customer trust is built.