Research shows that emotions are the key factor when making a decision. Without any emotions, we are not able to decide. This is an important insight and essential to know when doing business. How about if you’d know how your customers feel before they tell you? And how about you can do that every day, at each and every important touchpoint in their customer journey? This is Digital Empathy and together with Predictive Behavioral Analytics at scale companies can become more Customer Empathetic and hence create a sustainable positive impact on the triple bottom line of social, economic, and environmental value.
Doing business has evolved from just finding the right balance of offer and demand. Companies now need to manage the entire ecosystem of stakeholders in an ethical way. Customers expect companies to know them – day by day. And empathy – understanding how others feel, and act accordingly – is the biggest driver of loyalty and repurchase. Future-oriented companies understand that Customer Lifetime Value (CLTV) is a more critical indicator than Acquisition Cost. The pandemic has also shown that understanding drivers of CLTV and knowing how to grow lifetime relationships makes companies more successful than acquisitions alone.
In almost any business today, operational efficiency has become a hygiene factor. Businesses and even their brands become commoditized. Together with the rush to digitalization, this has led to the fact that many companies have engineered themselves out of the relationships with their customers. And still, most Customer Experience Management and Customer Insight Methodologies haven’t kept up and are based on 20-year-old thinking, when digital wasn’t a “Thing”.
The new winners in their respective verticals will be those companies that can put themselves in their customers’ shoes best. Companies who understand where their customers are at, how they feel, and how they want to be treated. Digital Empathy turns the Golden Rule on its head: Don’t treat customers like you want to be treated, But: Treat customers like they want to be treated.
Table of Contents
- Executive Summary
- Who Should Read This Paper
- Empathy – Understanding what customers are feeling
- Capturing and Shaping Customer Emotions and Decisions
- Empathy is the ability to understand another person’s thoughts and feelings from their point of view
- Putting Digital Empathy into Practice
- Can we achieve empathy in a digital environment?
- The Data Analytics Perspective of Digital Empathy
- Treat customers like they want to be treated
- How to get started with Digital Empathy
- Case Study: Tried and tested at scale in Financial Services
- Conclusion: Making a business more humane
Who Should Read This Paper
If you can answer yes to any of these questions, this whitepaper is for you:
- Do you and your organization want to derive actionable insights from your customer data to sustainably improve the bottom-line impact?
- Does your organization struggle to differentiate itself from your competitors – do customers see you as a commodity provider, instead of as a partner?
- Does your organization use NPS and if so, is it struggling to understand the things that really influence customer behavior?
- Does your organization use sentiment analysis to judge customer attitude and if so, do you find it too simplistic/crude to be reliable?
- Does your marketing department send out communications to people who didn’t want to hear from you at that time?
- Does your organization just ‘know’ your customers, instead of understanding them in a practical way that leads to deeper, more valuable relationships?
- Does how a customer ‘feel’ have any role to play when you are deciding what to do next?
- Is your CX strategy based on an act of faith, rather than on data and insights about what your customers need and want?
- Do you and your organization know and understand the Return-on-Investment in your Marketing and Customer Experience Management efforts?
- Are your Executive Team fully bought into your Customer Insight, Marketing, and Customer Engagement Strategies?
- If you could match up customers to employees in a way that is empathic and human – would your customers think of you differently?
A Word About Ethics
Anthrolytics are committed to the most ethical applications of data processing possible. Our ambition is to support companies in maximizing customer retention. By building out the ability to achieve early warning about customers who are becoming dissatisfied with a product or service, our clients can swiftly target emotionally sensitive engagement to act on this feedback. Our magic works only to smooth out shortfalls in customer expectations – it cannot transform a fundamentally flawed product. In short, our insights improve the value that the customer receives from the brand and help reduce concern or stress on their part. Everyone wins.
Customer Experience Management needs some rework as it has become a victim of its own success.
Customer Experience is not new – the principles (if not the name) were laid down in the middle of the last century, but it really took off as a discipline after Robert Woodruff published his paper ‘Customer value: The next source for competitive advantage’ in 1997. In today’s world, Customer Experience Management is at the core of any customer-centric organization. Customer-centricity has been a winning strategy for a very long time and will certainly continue to be so for much longer. It is customers who enable a business to exist. To understand customers better, having insights to create foresight, and ultimately predict behavior will be the decisive factor to build and stay in business.
When more than 20 years ago Fred Reichheld, Satmetrix, and the consultants of Bain and Co. applied the Net Promoter Score methodology, it was an immediate success although not yet a breakthrough. A short, optimal survey at the right touchpoint provided forward-looking companies with great insights and an opportunity to improve the relationship with their customers and hence also their Customer Lifetime Value – in short: an opportunity to show empathy. Undoubtedly, the concept was sleek, easy-to-use and delivered immediate results. It took roughly 15 years for a breakthrough in mainstream businesses. And today, there is hardly any company that is not using these instant surveys to gather voice-of-the-customer data and to measure any touchpoint that is possible to measure and also those that are impossible.
This is certainly a good way to have a company and its teams manage the relationship with customers. And if a company is taking action based on these findings, even better. The traditional way of actively managing the Customer Experience using the Net Promoter Score has its merits. Not overused and not over-focused on the score, it is an optimal way to manage the relationship with customers, proactively let them know that the company cares, and provide a good learning opportunity for the organization. The drawback is that if it is mechanically overused, and purely focused on achieving an indicator, the concept loses its strength.
Behavior, Technology, and Consumers have also evolved during these twenty years. The Net Promoter Score concept has become a victim of its own success. Originally devised as a short, one-off measurement to assess the relationship, it often gets overused today for anything worth or not worth measuring. In many companies, the indicator has become more important than what it actually stands for. For customers, this constant surveying has led to an over-saturation. The consequence of all that: There is significant survey fatigue among customers and if you still get a response, the answers are heavily skewed. It’s usually the excited or the frustrated ones who provide you with responses. Hence, it will not be easy to derive appropriate insights from this. The biggest – and not least important – portion of any customer base has usually given up on responding. How can companies know where they stand, what drives them, and how to increase their Customer Lifetime Value?
Consumer sentiment has clearly changed. But neither companies nor CX methodologies have caught up with these changes. In almost any business today, operational efficiency has become a hygiene factor. Businesses become commoditized. Together with the rush to digitalization, this has led to the fact that many companies have engineered themselves out of the relationships with their customers. And still, most Customer Experience Management and Customer Insight Methodologies haven’t kept up and are based on 20-year-old thinking, when digital wasn’t a “Thing”.
Empathy – Understanding what customers are feeling
Humans are inherently emotional animals. Decision-making is profoundly impacted by a specific emotional state. When people are delighted or grateful, hormones are released that make them feel well, help to be creative, and make them crave for more. When stressed or upset, a stress hormone helps to focus on fight or flight reflexes but prevents from recalling positive memories or laying down new ones. These conditions shape decision-making in all ways. Faced with strong emotions, choices, or a lack of information, everybody falls back on mental shortcuts – or ‘biases’ – to make sense of a complex issue.
Empathy is the biggest driver of loyalty, as research shows. With more interactions happening digitally, it has become harder to understand the emotions created by a company’s operations, yet customers still expect to be understood how they feel. Many companies are still primarily focused on driving operational improvement, reducing effort, and removing friction which has resulted in them unwittingly engineering out relationships with their customers; the cost of lower friction may have been a loss of traction.
Empathy is a hot topic in business right now: a query via your favorite search engine on empathy and business will yield tens of millions of results. Many organizations have now declared it the new competitive battleground and the natural evolution of Customer Experience (CX). Digital Empathy and Predictive Behavioral Analytics are new ways of combining data science with behavioral science to understand and predict human behavior. As proven by Neuroscience: all human decisions contain some emotion (which is not to say that all human decisions are emotional). However, this novel approach considers a range of factors that contribute to how we evaluate a situation and make a decision:
- The task and the context (what stimulated customers to act, what they want to do)
- What customers need (rational criteria like price, convenience)
- What customers want (emotional criteria like increased happiness, less fear)
- Internal biases (such as behavioral or unconscious biases)
- External influences (like recommendations, star ratings, and so on)
- Personal experience (what customers expect, based on their prior history)
Capturing and Shaping Customer Emotions and Decisions
When customers make a decision to exit a relationship with a brand, ignore an opportunity to extend their loyalty, or move from committed to neutral – companies know that the decision may not be carefully considered, reflected on, and rational. Businesses often only discover that customers have already reached these decisions when it’s too late. The opportunity to engage with the customer has already passed, unnoticed. Worse, the departing or disgruntled customer will likely over-communicate their dissatisfaction, further risking negative effects on the company’s and product’s reputation and brand. In markets with few barriers to customers moving between largely undifferentiated providers, the ability to predict their emotional state and to have the option to predict and interrupt a decision-making process is invaluable. Standard marketing and contact interventions can raise stress levels, be irrelevant, reinforce negativity or potentially sever a relationship.
There are significant opportunities: Let’s assume a customer is joyful; too often, a brand is blind to further strengthening the foundations of loyalty or the opportunities now presented for upselling. Equally, when a customer has a concern or complaint, a purely reactive business has little in the way of initiatives to offer to make things right predictably. Customers are transmitting signals – that are usually difficult to capture and interpret at scale.
The concept of Digital Empathy embeds a unique and evidence-based framework into its model of human decision-making. The foundation is laid by the works of Kahneman and Tversky, Ariely, and the early work of Cialdini on persuasion. And it also integrates Boyd’s OODA loop, the McKinsey 7Ss, and many other validated models. But the concept goes further than any other behavioral science-based practice in providing specific intellectual property and socio-technical tooling. For example, the concept draws on over twenty years of behavioral research developed for critical and often highly classified activities. Products and concepts have been used in environments as diverse as Commercial Businesses, Startup Environments, or International Security concerns.
Empathy is the ability to understand another person’s thoughts and feelings from their point of view
Just like Customer Experience, corporate discussions about empathy are not new either but in the industrial era of mass-production and mass-marketing (i.e. pre-commoditization) the discussion was all about the features of the product and how they benefited customers. At that point, it felt like only the advertising department cared about how customers felt, everyone else was busying themselves making better ‘stuff’. Most executives at the time thought that empathy was just ‘being nice to people’ and probably would cost a lot of money to implement in any practical way.
‘Empathy’ is not felt. Empathy is not an emotion. Empathy is not a state of mind. Empathy might be a skill that some have (or can be trained and/or liberated by organizational culture to employ), but few come away from any intervention, meeting, or event saying, “I really felt they empathized with me”. Surveyed, they may well agree – but survey answers are not reliable when the question is framed in that way.
Over the last decade or so, a lot of attention has been focused on training Emotional Intelligence (EQ) for frontline staff – techniques that include and bring together a basic understanding of what the customer is feeling, with an understanding of what the employee is feeling and using that to tailor the conversation – to establish rapport. The focus at this point was on the use of language and ‘in the moment’ prompts for the next best action or analyzing conversations to support employee training.
However, reliance on EQ training for frontline staff as your primary model of delivering empathy does have a significant drawback – it only works during a human-to-human interaction, for example, during a customer service call. EQ training for staff does little to improve all the non-human-led interactions – mobile, digital, automated, self-service transactions, etc. and so much of the attention has been about process excellence – making the process simple and easy. Delivering empathy at scale, across all channels and consistently was seen as ‘too hard’.
As a result of the pandemic, many businesses had to move much of their operations into digital delivery, often with the result that the customer experience was dictated by operational needs. Now as the recovery begins, much of that digital investment will need to evolve and play a growing role in ongoing day-to-day customer interactions. The ‘Dash to Digital’ has become the ‘Race to Recovery’ and that race is a marathon, not a sprint.
So can the empathetic core of customer experience management be rebuilt? Empathy is the competence of a company to understand customers (preferably dynamically and accurately) and act (in productive and permissive ways). A fundamentally human activity, as individuals, we spend a lot of our time guessing how others might feel. We often get it wrong.
But it is also known that humans make their decisions shaped by their neurochemistry. People tend to pursue things that make them feel better about themselves. People tend to avoid shame. As mentioned above, if there is unwanted stress, the ability to think clearly and make good choices is limited. If we aren’t heard – we anger or terminate a conversation. But marketing, sales, and advertising across any channel are unsighted on customers’ emotional disposition. Campaigns are being rolled out and we measure their effectiveness. But we haven’t considered how customers feel and whether now is the perfect (or a perfectly awful) moment to interact.
Insight into customers’ emotional states is critically important – and difficult to achieve. Because businesses have access to (or can start recording) recent interaction data with customers and the reactions of customers to those interventions – it is now possible to anticipate their emotional state. Collating and analyzing this raw data creates the capacity to act with Digital Empathy. We can then engage with customers in an emotionally-tuned and uniquely beneficial way.
It’s easy for CEOs, CXOs, and thought leaders (see numerous recent reports from Accenture, Gartner, Google, and others) to state that being empathetic leaders presiding over empathetic organizations and “delivering” empathy to customers is important. And of course, this is true. But, there’s one massive problem: Customers don’t experience ‘empathy’ – they experience the impact of a business having it.
Empathy is a competence that must be embedded into a business’s DNA, conditioning every touchpoint that a brand provides for the customer. Empathy is the secret sauce of the wise and progressive company: where the business has strategic, operational, and tactical empathy for the customer. Corporate empathy ensures that emotionally-tuned actions and behaviors trigger positive neurochemical reactions (emotions) on the part of the customer. The customer experiences near perfection in all interactions (inbound and outbound) with that business. This builds retention, satisfaction (think NPS), customer and stakeholder ambassadorship for the brand, and sustainable profitability.
Digital Empathy is the technology-driven collation and analysis of data to support emotionally informed and tuned decision-making. Whether in terms of strategy, marketing, sales, customer care, PR, and executive/crisis communications – Digital Empathy helps guide the business to transform, temper, sustain or accelerate particular emotional effects across the customer base. In other words, to produce neurochemical impacts in customers of delight, reassurance, a sense of achievement, satisfaction, commitment, confirmation of having been heard …. and so on.
Putting Digital Empathy into Practice
Until now, ‘digital empathy’ has been a design approach informing how the user experience and processes are designed (the core of human-centric design). However, it is still at heart ’empathy as a process’. The novel approach is much closer to the thinking behind hyper-personalization, where personalization (what we know about a customer) meets real-time customization (based on what they are trying to do and why).
The cognitive empathy component is delivered by using data gathered from a mix of sources and Predictive Behavioural Analytics – in essence, predicting what an individual customer is feeling, why, and what they are likely to do next.
These behavioral insights are then used in operational environments to do a range of tasks: journey orchestration, campaign management, enable process automation (RPA/RDA), and so on. The difference comes in that these decisions and actions are partly informed by how the customer is feeling as well as what they functionally need.
For example, a mobile marketing campaign may be aimed at a segment of customers who meet the qualifying criteria, but some customers are offered a different treatment because they are more likely to respond to that one than the standard campaign. In a call center, inbound calls from customers who are likely to be emotionally charged can be routed to more experienced agents with higher EQ, while day-to-day calls are routed to normal agents.
To the customer, it feels like the organization is more human – more in tune with their daily lives; they get fewer poorly timed marketing messages, the offers they get resonate with them better, and the organization is doing a better job of listening and anticipating what they want, when and how they want it.
Can we achieve empathy in a digital environment?
A smart way to go about business model design, and therefore product and service design, is to view it through the eyes of the customers. Because who else is better equipped to talk about customer needs than the customers themselves? In turn, this promises to lead to insights that could help the company gain an enhanced competitive advantage.
The ability to know how the customers feel and think and why (cognitive empathy), feel what the customers are feeling (affective empathy), and understand their situation and feelings to the point of being moved to help (compassionate empathy), is an art that is by no means easy.
Understanding and caring for the feelings of others have always been fundamental to communication and social interaction. In face-to-face interaction, there is a widespread prevalence of empathy. But the traditional view is that experiencing empathy through computer-mediated communications can turn out to be more challenging than face-to-face communication.
This is generally said to be so mainly because of reduced interpersonal cues, such as body language, prosodic speech qualities, and so on, which decrease the information transmitted, obstructing affiliative interactions. As it is well known, a person’s tone of voice can change the recipient’s interpretation of a statement entirely, just like confident gestures can help convey assertiveness and close a business deal.
So, what happens in a world gone digital, a world saturated with online apps and stores? Can we get to know and experience what our customers ‘feel like’? Are customers becoming more distant from each other and from businesses in the context of the ever-rising technology in the digital era? Perhaps. Or perhaps not.
But accepting this assertion at face value is to reduce human nature to a fraction of what it really is. Humans as social beings are much more wonderfully complex and the only truth by which we can stand is that when it comes to people, there are no universal truths. Customers included.
For too long there have been idealized mental models about what customers should be or behave like and consequently judged the success of our products and services based on achieving certain financial and non-financial performance metrics, such as sales growth or perceived product quality.
This is not to say that these indicators are no longer important. Just in today’s context they are insufficient in the quest of understanding and creating sustainable customer experience (CX) and business value. To grow is to challenge the status quo. We need new measures of success and, as it turns out, Digital Empathy is one of the missing links.
There is plenty of evidence to support that Digital Empathy is not only possible but that it attends to conditions that are specific to computer-mediated communication. For example, research shows that, while it may take longer, individuals develop empathic relationships which in some cases could be even more intimate than face-to-face interactions. One reason for this lies in that for some individuals, increased anonymity and distance work to reduce inhibitions, facilitating more personal disclosures and leading to the achievement of greater empathic connections.
Furthermore, individuals compensate for the lack of nonverbal cues by relying on alternate ways to communicate emotion, such as the use of emojis. Some may feel confused by some emojis, but most of us understand and agree that 😊 expresses joy, while ☹️ expresses sadness and 😠 expresses anger. Further research has also shown that emoticons can be used to express humor, as well as to strengthen the intended message.
The above arguments work to show that learning to recognize, understand, feel, and communicate emotions in the digital space is already an essential skill for any business, and even more important given the massive role played by the Internet in the age of coronavirus.
A customer who feels understood and supported is more likely to become a loyal customer. This is because intuitively, customers will tend to gravitate towards products and services that are designed to be sensitive and understanding towards their personal needs and circumstances.
And businesses need to rediscover and ethically capitalize on the power of the human touch in a world that has gone digital. Ultimately, Digital Empathy is about empowering businesses to embrace a new dimension of their potential and step into greatness to deliver exceptional experiences for their customers.
The Data Analytics Perspective of Digital Empathy
The hype around Artificial Intelligence and Machine Learning has seduced many but delivered to few. “Everyone wants to go to heaven, but nobody wants to die”. The truth is that many companies dream big and invest in moon-shot projects, but most of the time, they rely on consultancy that fails to live up to expectations. One of the main reasons for setbacks experienced by companies in this sense is when ‘moon-shot’ proposals are backed by scientifically unsound solutions. A moon-shot project is going 10X bigger or better than any other project on the market. Nothing wrong with that. But the promise of highly profitable, ground-breaking projects can only be materialized if delivered by the right people with the right tools with the right amount of hard work.
Used in the right way, Artificial Intelligence and Machine Learning can help transform for the better. Artificial intelligence and Machine Learning systems can be used for a wide range of tasks, such as pattern recognition and anomaly detection, data mining, predictive modeling and analytics, conversational systems, and customer segmentation, just to name a few. One of the areas where Artificial Intelligence and Machine Learning have shown particular capability is in the area of facial recognition and text-based emotion and sentiment analysis.
Novel combinations of methods and collaborations in machine learning (deep learning), computational approaches and computer graphics, mathematics and simulations, predictive analytics, and behavioral science, to develop real-time computational models that can detect and learn human emotion and behaviors. Companies and their customers are very diverse and unique and have certain ways of thinking, feeling, and acting. There is no such thing as an average client or customer. While there are some basic patterns of individuality, people and their behaviors are complex and cannot be reduced to a simplistic one-dimensional measure. Instead, when looking at companies and their customers as a whole entity, within their multiple dimensions, a Digital Empathy project can provide tailored solutions that accommodate all unique circumstances.
Digital Empathy builds competitive and strategic advantage by transforming customer data into actionable knowledge via building:
- Algorithms and systems to help your business detect and predict the emotions you create in every customer every day.
- AI solutions to help your business detect customer satisfaction so that you can maximize it, as well as customer dissatisfaction, so that you can reduce it or eliminate it altogether.
- Recommendation systems that increase personalization and humanize customer engagement.
- Data-driven customized plans that take into account your customers’ profiles.
Treat customers like they want to be treated
At Anthrolytics, we would argue that “customers don’t experience empathy, they experience the impact of the business having it”. It’s absolutely a good thing that empathy is now widely recognized as vital to the modern, socially-aware business which wants to engage with customers and stakeholders in a meaningful, ethical and high-impact manner.
It’s not such a good thing that the term has become very much a fixture of those offering consulting founded on the classical mainstays of consumer psychology, re-treading approaches which have largely failed to improve the employee experience. The key reason why these efforts have failed before? Mainly because they lack conceptual capital. Relying on Maslow’s hierarchy of needs, various psychometric approaches and assorted metrics of varying reliability won’t cut it. Conceptual capital refers to the fact that any organization has to have a robust and bespoke understanding of what it is they are attempting to do and why. Hence, anyone offering to help a business ‘become empathetic’ needs to be challenged on precisely h=what they understand the impact of this to be.
When we think of a company being empathetic in its CX activities, what we really mean is that the customer (whether being engaged on an inbound, outbound, reactive or active basis) has received messaging and behaviors that have created a desired emotional effect. Has the customer “felt us” or “had the feels” for the brand as a result of amazing service, instant solution-generation …. or something else? Listening to a complaint and neither validating nor resolving it is not empathetic. Passing a customer to another department who ‘might’ be able to help is not empathetic.
But the customer comes away with a refreshed emotional commitment to the brand: that’s the result of a touchpoint with an empathetic organization delivered by a skilled and liberated service agent (or bot). Creating surprise, joy, astonishment, or delight – making a customer’s day: that’s emotion. That’s value. That’s loyalty and organic promotion with an enhanced NPS score right there.
However, all of the above emotional effects (at the neurochemical level) are the emergent property of deep, data-driven, authentic, and tailored digitally-empowered empathy. Complicated but not difficult – complicated because so much of the business may have to be re-engineered to allow it to deliver the surprise, joy, astonishment, delight, day-changing impact ….. but, as they say, we have no choice but to re-engineer. Whether in micro-retail or at scale, we need the authenticity of genuine emotional connections with real people from real people. As Lt.Col Shannon of the US Marine Corps (made famous in ‘The Men Who Stare at Goats’) declared: ‘We have no choice but to be wonderful’.
How to get started with Digital Empathy
Using Digital Empathy in Practice and at scale starts with Predictive Behavioral Analytics, combining data science with behavioral science to understand and predict human behavior. It does this by identifying what people really care about and why – what matters enough to them that it influences the actions that they take. These insights are then used to build a library of events that are known to subtly influence customer behavior. By combining this with an understanding of a person’s current mindset, it’s possible to predict what decision they will probably take next – when one of those events occurs and to act accordingly. The big difference with predictive behavioral analytics is its ability to do this at granularity at scale, at speed, and frequently.
Digital Empathy lays also the foundation for an additional way to segment customers. Legacy segmentation methods approximately fit a group of customers but rarely fit a specific customer. Most companies apply a segmentation approach that uses one or at best two dimensions. While demographics and psychographics allow you to define the big segments people generically fall into, Empagraphic Segmentation allows you to identify where they are at specifically.
While lots of solutions offer segmentation based on transactions or customer journeys, Digital Empathy adds the important third dimension: allowing to predict the likely emotional state of customers and the likely behavior this is likely to drive. This new dataset allows delivering the right message, to the right person, at the right time developing loyalty in your customers, and achieving sustainable business results.
For leaders and strategists, Digital Empathy turns a Customer Experience (CX) vision into a practical, disciplined business strategy, with directly quantifiable results on the top and bottom line, as well as the ability to balance the cost and rewards of competing strategies.
Digital Empathy can be embedded within operational systems, providing automated decision-making on the basis of the optimal next best action to take at the individual customer level. Furthermore, it allows organizations to be proactive – anticipating customer behavior (rather than just responding to it).
The result is a customer experience that feels more ‘human’ and in touch with their needs – one for which they will pay more, be more loyal to, and recommend. Whilst human behavior is too complex and messy to ever model perfectly, this new approach gives an organization a new and pragmatic tool for thinking about your relationship with all your customers and for making better decisions.
These are all factors that contribute to a fast Return-On-Investment. And btw.: This also can increase brand value; gaining a competitive edge that is very hard to copy.
Case Study: Tried and tested at scale in Financial Services
The concept of Digital Empathy was applied when integrating a managed service that provides advanced intelligence on customers who are becoming likely to defect. And how the Financial Services Company will know best how to act to retain. A Predictive Behavioural Analytics (PBA) engine was developed to generate accurate and actionable intelligence on the emotional status of every customer. This Emotional Intelligence Score (EQS) provided the client with strategic insight to refine, pause or accelerate planned marketing, advertising, public relations, or pricing activities. Customer contact centers also have a live feed of customer EQS so that agents can have a richer appreciation of the mood of a customer, connect to or respond with them using alternative scripts, escalation paths, and retention solutions accordingly.
By predicting the Emotional Intelligence Score of customers, it was extrapolated that their decision-making is beginning to become less rational and much more shaped by hormones and neurochemicals. These include cortisol (stress), adrenaline (stress/excitement), and then those which can create or retard happiness and satisfaction: dopamine, oxytocin, serotonin, and endorphins (CA-DOSE). Knowing that certain customers have moved to misperceive the company gives organizations the inside track to creating meaningful touchpoints.
These proactive touchpoints must reduce or eliminate the hormones and neurochemicals now suffusing all of the decision-making of the customer. Radically generous, wildly thoughtful acts and surprising engagements for customers Without these emotionally-tuned engagements, customers will double-down on their decisions, probabilities become certainties in their minds and they invisibly become irretrievable.
The results from the pilot were overwhelming: Applying the concepts and using AI and Machine Learning to deliver Digital Empathy at Scale, allowed this Financial Services Organization to:
- Increase its specific revenue by 17% thanks to better targeting and talking to customers at that time when they were most receptive to the offer.
- Decrease its marketing cost by 38% through a better focus and a stronger empathetic approach to segmenting and targeting, providing a more personalized and more relevant experience to customers.
- Reduce churn by 10% thanks to the ability to identify customers who were likely to churn, but were still saveable.
Conclusion: Making a business more humane
The idea of Digital Empathy as ‘the next best thing’ in making products or services stand out from their competitors and in improving customer experience through meaningful, ethical, and authentic interaction is deeply alluring. What has been achieved in this field so far is just the tip of the iceberg. Imagine the possibilities!
Digital Empathy enables companies to meet customers where they are by turning the Golden Rule on its head. Instead of: “Treat customers the way you want to be treated yourself”; it applies: “Treat customers the way they want to be treated themselves.” That philosophy is a significant shift and very important for doing business. While too often, segmentation approaches today are being designed inside-out, in some good cases also based on demographic criteria such as age, geography, or buying power and in some very good cases on past behavior. Their emotional state is too often neglected. Digital Empathy takes the emotional state into account to build the right offerings and manage the relationship in a humane way accordingly.
Neuroscience has shown that emotions are the fundamental driver for taking decisions. Understanding this will provide you with hard facts. It also allows you to design new approaches on how to manage a customer relationship. You will be better able to meet customers, where they are. Digital Empathy practically applied allows you to gain customer insights in a way that was not possible before. Digital Empathy also allows you to provide a Customer Experience that is superior as it is more specific to each customer: More personalized and more humanized. These are all factors that contribute to a fast Return-On-Investment. Faster identification of an account at risk and a competent recovery of the customer relationship can immediately translate into hard money.
Many companies have had a strong focus on digitalization over the past years. The COVID situation has sped up the thrive of customer interactions that are less personal. And many companies have outsourced important customer interactions, losing the human touch completely. Still, while everything has been digitizing fast; it is human elements that continue to make the difference. Whether in a Business-to-Business or in a Business-to-Consumer relationship; we are all humans. We have specific needs and wants; and also very specific emotions depending on the situation we are in right now. By understanding this and treating this with acceptance and respect we can build a better, more sustainable business that is creating value for its customers, employees, and stakeholders in general.
London, Zug, San Diego, July 2021
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