CRM done right

Disappointed by the high costs and elusive benefits, early adopters of customer relationship management systems came, in the post dot-com era, to view the technology as just another overhyped IT investment whose initial promise would never be fulfilled. But this year, something unexpected is happening. System sales are rising, and executives are reporting satisfaction with their CRM investments. What's changed? A wide range of companies are successfully taking a pragmatic, disciplined approach to CRM. Rather than use it to transform entire businesses, they've directed their investments toward solving clearly defined problems within their customer relationship cycle. The authors have distilled the experiences of these CRM leaders into four questions that all companies should ask themselves as they launch their own CRM initiatives: Is the problem strategic? Is the system focused on the pain point? Do we need perfect data? What's the right way to expand an initial implementation? The questions reflect a new realism about when and how to deploy CRM to best advantage. Understanding that highly accurate and timely data are not required everywhere in their businesses, CRM leaders have tailored their real-time initiatives to those customer relationships that can be significantly enhanced by "perfect" information. Once they've succeeded with their first targeted CRM project, they can use it as a springboard for solving additional problems. CRM, in other words, is coming to resemble any other valuable management tool, and the keys to successful implementation are also becoming familiar: strong executive and business-unit leadership, careful strategic planning, clear performance measures, and a coordinated program that combines organizational and process changes with the application of new technology.     

Avoid the four perils of CRM

Customer relationship management is one of the hottest management tools today. But more than half of all CRM initiatives fail to produce the anticipated results. Why? And what can companies do to reverse that negative trend? The authors--three senior Bain consultants--have spent the past ten years analyzing customer-loyalty initiatives, both successful and unsuccessful, at more than 200 companies in a wide range of industries. They've found that CRM backfires in part because executives don't understand what they are implementing, let alone how much it will cost or how long it will take. The authors' research unveiled four common pitfalls that managers stumble into when trying to implement CRM. Each pitfall is a consequence of a single flawed assumption--that CRM is software that will automatically manage customer relationships. It isn't. Rather, CRM is the creation of customer strategies and processes to build customer loyalty, which are then supported by the technology. This article looks at best practices in CRM at several companies, including the New York Times Company, Square D, GE Capital, Grand Expeditions, and BMC Software. It provides an intellectual framework for any company that wants to start a CRM program or turn around a failing one.     

Knowing what to sell, when, and to whom

Despite an abundance of data, most companies do a poor job of predicting the behavior of their customers. In fact, the authors' research suggests that even companies that take the greatest trouble over their predictions about whether a particular customer will buy a particular product are correct only around 55% of the time--a result that hardly justifies the costs of having a CRM system in the first place. Businesses usually conclude from studies like this that it's impossible to use the past to predict the future, so they revert to the timeworn marketing practice of inundating their customers with offers. But as the authors explain, the reason for the poor predictions is not any basic limitation of CRM systems or the predictive power of past behavior, but rather of the mathematical methods that companies use to interpret the data. The authors have developed a new way of predicting customer behavior, based on the work of the Nobel Prize-winning economist Daniel McFadden, that delivers vastly improved results. Indeed, the methodology increases the odds of successfully predicting a specific purchase by a specific customer at a specific time to about 85%, a number that will have a major impact on any company's marketing ROI. What's more, using this methodology, companies can increase revenues while reducing their frequency of customer contact-evidence that overcommunication with customers may actually damage a company's sales.     

Understanding customer experience

Anyone who has signed up for cell phone service, attempted to claim a rebate, or navigated a call center has probably suffered from a company's apparent indifference to what should be its first concern: the customer experiences that culminate in either satisfaction or disappointment and defection. Customer experience is the subjective response customers have to direct or indirect contact with a company. It encompasses every aspect of an offering: customer care, advertising, packaging, features, ease of use, reliability. Customer experience is shaped by customers' expectations, which largely reflect previous experiences. Few CEOs would argue against the significance of customer experience or against measuring and analyzing it. But many don't appreciate how those activities differ from CRM or just how illuminating the data can be. For instance, the majority of the companies in a recent survey believed they have been providing "superior" experiences to customers, but most customers disagreed. The authors describe a customer experience management (CEM) process that involves three kinds of monitoring: past patterns (evaluating completed transactions), present patterns (tracking current relationships), and potential patterns (conducting inquiries in the hope of unveiling future opportunities). Data are collected at or about touch points through such methods as surveys, interviews, focus groups, and online forums. Companies need to involve every function in the effort, not just a single customer-facing group. The authors go on to illustrate how a cross-functional CEM system is created. With such a system, companies can discover which customers are prospects for growth and which require immediate intervention.     

新理念 新方式--客户关系管理(CRM)的营销审视与运用

从营销角度看 ,CRM是一种新的营销理念 ,它强调以客户为中心 ,并将其当作一种企业资源来管理 ;CRM是一种新的营销方式 ,它强调企业要由重视产品营销转变为重视全方位的服务、由重视需求差异化转变为重视需求个性化、由重视顾客满意转变为重视顾客愉悦、由重视市场的外部调研转变为重视建立和运用客户数据库。中国企业要全面实施CRM ,必须解决信息流、货币流、物流、服务、产品和组织等方面的诸多问题     

The customer knowledge journey

Customer relationship management (CRM) is the hot topic for many organisations at the moment. this could produce significant returns on investment and deliver the objective of a one-to-one relationship with customers, but it also puts a greater onus on companies to actually deliver their ‘brand promise’. For CRM to be sustainable it has to embed the learning from its relationships with customers within a clearly defined customer strategy and deliver tactics that fulfil that common goal of true CRM.     

The quest for customer focus

Companies have poured enormous amounts of money into customer relationship management, but in many cases the investment hasn't really paid off. That's because getting closer to customers isn't about building an information technology system. It's a learning journey-one that unfolds over four stages, requiring people and business units to coordinate in progressively more sophisticated ways. The journey begins with the creation of a companywide repository containing each interaction a customer has with the company, organized not by product, purchase, or location, but by customer. Communal coordination is what's called for at this stage, as each group contributes its information to the data pool separately from the others and then taps into it as needed. In the second stage, one-way serial coordination from centralized IT through analytical units and out to the operating units allows companies to go beyond just assembling data to drawing inferences. In stage three, companies shift their focus from past relationships to future behavior. Through symbiotic coordination, information flows back and forth between central analytic units and various organizational units like marketing, sales, and operations, as together they seek answers to questions like "How can we prevent customers from switching to a competitor?" and "Who would be most likely to buy a new product in the future"? In stage four, firms begin to move past discrete, formal initiatives and, through integral coordination, bring an increasingly sophisticated understanding oftheir customers to bear in all day-to-day operations. Skipping stages denies organizations the sure foundation they need to build a lasting customer-focused mind-set. Those that recognize this will invest their customer relationship dollars much more wisely-and will see their customer-focusing efforts pay offon the bottom line.     

Your loyalty program is betraying you

Even as loyalty programs are launched left and right, many are being scuttled. How can that be? These days, everyone knows that an old customer retained is worth more than a new customer won. What is so hard about making a simple loyalty program work? Quite a lot, the authors say. The biggest challenges include clarifying business goals, engineering the reward structure, and creating incentives powerful enough to change buying behavior but not so generous that they erode margins. Additionally, companies have to sort out the puzzles of consumer psychology, which can result, for example, in two rewards of equal economic value inspiring very different levels of purchasing. In their research, the authors have discovered patterns in what the successful loyalty programs get right and in how the others fail. Together, their findings constitute a tool kit for designing something rare indeed: a program that won't do you wrong. To begin with, it's important to know exactly what a loyalty program can do. It can keep customers from defecting, induce them to consolidate certain purchases with one seller (in other words, win a greater share of wallet), prompt customers to make additional purchases, yield insight into their behavior and preferences, and turn a profit. A program can meet these objectives in several ways--for instance, by offering rewards (points, say, or frequent-flier miles) divisible enough to provide many redemption opportunities but not so divisible that they fail to lock in customers. Companies striving to generate customer loyalty should avoid five common mistakes: Don't create a new commodity, which can result in price wars and other tit-for-tat competitive moves; don't cater to the disloyal by making rewards easy for just anyone to reap; don't reward purchasing volume over profitability; don't give away the store; and, finally, don't promise what can't be delivered.     

Strategy as revolution

How often does the strategic-planning process start with senior executives asking what the rest of the organization can teach them about the future? Not often enough, argues Gary Hamel. In many companies, strategy making is an elitist procedure and ?strategy? consists of nothing more than following the industry's rules. But more and more companies, intent on overturning the industrial order, are rewriting those rules. What can industry incumbents do? Either surrender the future to revolutionary challengers or revolutionize the way their companies create strategy. What is needed is not a tweak to the traditional strategic-planning process, Hamel says, but a new philosophical foundation: strategy is revolution. Hamel offers ten principles to help a company think about the challenge of creating truly revolutionary strategies. Perhaps the most fundamental principle is that so-called strategic planning doesn't produce true strategic innovation. The traditional planning process is little more than a rote procedure in which deeply held assumptions and industry conventions are reinforced rather than challenged. Such a process harnesses only a tiny proportion of an organization's creative potential. If there is to be any hope of industry revolution, senior managers must give up their monopoly on the creation of strategy. They must embrace a truly democratic process that can give voice to the revolutionaries that exist in every company. If senior managers are unwilling to do this, employees must become strategy activists. The opportunities for industry revolution are mostly unexplored. One thing is certain: if you don't let the revolutionaries challenge you from within, they will eventually challenge you from without--in the marketplace.     

Why business models matter

"Business model" was one of the great buzz-words of the Internet boom. A company didn't need a strategy, a special competence, or even any customers--all it needed was a Web-based business model that promised wild profits in some distant, ill-defined future. Many people--investors, entrepreneurs, and executives alike--fell for the fantasy and got burned. And as the inevitable counterreaction played out, the concept of the business model fell out of fashion nearly as quickly as the .com appendage itself. That's a shame. As Joan Magretta explains, a good business model remains essential to every successful organization, whether it's a new venture or an established player. To help managers apply the concept successfully, she defines what a business model is and how it complements a smart competitive strategy. Business models are, at heart, stories that explain how enterprises work. Like a good story, a robust business model contains precisely delineated characters, plausible motivations, and a plot that turns on an insight about value. It answers certain questions: Who is the customer? How do we make money? What underlying economic logic explains how we can deliver value to customers at an appropriate cost? Every viable organization is built on a sound business model, but a business model isn't a strategy, even though many people use the terms interchangeably. Business models describe, as a system, how the pieces of a business fit together. But they don't factor in one critical dimension of performance: competition. That's the job of strategy. Illustrated with examples from companies like American Express, EuroDisney, WalMart, and Dell Computer, this article clarifies the concepts of business models and strategy, which are fundamental to every company's performance.     

Business marketing: understand what customers value

How do you define the value of your market offering? Can you measure it? Few suppliers in business markets are able to answer those questions, and yet the ability to pinpoint the value of a product or service for one's customers has never been more important. By creating and using what the authors call customer value models, suppliers are able to figure out exactly what their offerings are worth to customers. Field value assessments--the most commonly used method for building customer value models--call for suppliers to gather data about their customers firsthand whenever possible. Through these assessments, a supplier can build a value model for an individual customer or for a market segment, drawing on data gathered form several customers in that segment. Suppliers can use customer value models to create competitive advantage in several ways. First, they can capitalize on the inevitable variation in customers' requirements by providing flexible market offerings. Second, they can use value models to demonstrate how a new product or service they are offering will provide greater value. Third, they can use their knowledge of how their market offerings specifically deliver value to craft persuasive value propositions. And fourth, they can use value models to provide evidence to customers of their accomplishments. Doing business based on value delivered gives companies the means to get an equitable return for their efforts. Once suppliers truly understand value, they will be able to realize the benefits of measuring and monitoring it for their customers.     

Bottom-feeding for blockbuster businesses

Marketing experts tell companies to analyze their customer portfolios and weed out buyer segments that don't generate attractive returns. Loyalty experts stress the need to aim retention programs at "good" customers--profitable ones- and encourage the "bad" ones to buy from competitors. And customer-relationship-management software provides ever more sophisticated ways to identify and eliminate poorly performing customers. On the surface, the movement to banish unprofitable customers seems reasonable. But writing off a customer relationship simply because it is currently unprofitable is at best rash and at worst counterproductive. Executives shouldn't be asking themselves, How can we shun unprofitable customers? They need to ask, How can we make money off the customers that everyone else is shunning? When you look at apparently unattractive segments through this lens, you often see opportunities to serve those segments in ways that fundamentally change customer economics. Consider Paychex, a payroll-processing company that built a nearly billion-dollar business by serving small companies. Established players had ignored these customers on the assumption that small companies couldn't afford the service. When founder Tom Golisano couldn't convince his bosses at Electronic Accounting Systems that they were missing a major opportunity, he started a company that now serves 390,000 U.S. customers, each employing around 14 people. In this article, the authors look closely at bottom-feeders--companies that assessed the needs of supposedly unattractive customers and redesigned their business models to turn a profit by fulfilling those needs. And they offer lessons other executives can use to do the same.     

中国上市公司融资行为研究——基于问卷调查的分析

中国上市公司是如何进行融资的?是否存在融资偏好?公司债券融资的利用情况如何?是否确定了“合理”的资本结构?公司治理对上市公司的融资行为究竟有没有影响?本文试图借助问卷调查分析这一手段回答这些问题。本文研究发现,中国上市公司的融资行为,既表现出与经典理论相符的一面,但同时又确实表现出一些鲜明的特点,其中最为突出的便是“股权融资偏好”。之所以有这些特点,既有资本市场制度背景方面的原因,也有公司治理方面的原因。     

Scanning the periphery

Companies often face new rivals, technologies, regulations, and other environmental changes that seem to come out of left field. How can they see these changes sooner and capitalize on them? Such changes often begin as weak signals on what the authors call the periphery, or the blurry zone at the edge of an organization's vision. As with human peripheral vision, these signals are difficult to see and interpret but can be vital to success or survival. Unfortunately, most companies lack a systematic method for determining where on the periphery they should be looking, how to interpret the weak signals they see, and how to allocate limited scanning resources. This article provides such a method-a question-based framework for helping companies scan the periphery more efficiently and effectively. The framework divides questions into three categories: learning from the past (What have been our past blind spots? What instructive analogies do other industries offer? Who in the industry is skilled at picking up weak signals and acting on them?); evaluating the present (What important signals are we rationalizing away? What are our mavericks, outliers, complainers, and defectors telling us? What are our peripheral customers and competitors really thinking?); and envisioning the future (What future surprises could really hurt or help us? What emerging technologies could change the game? Is there an unthinkable scenario that might disrupt our business?). Answering these questions is a good first step toward anticipating problems or opportunities that may appear on the business horizon. The article concludes with a self-test that companies can use to assess their need and capability for peripheral vision.     

Targeting customers based on economic worth

A common objective for many financial service companies today is to focus on their best customers and to align their investment in customers based on the economic worth of the customers. Yet, as simple and practical as this seems, many companies have not been able to implement the tools and processes that will allow them to do this effectively. One tool that helps identify the economic worth of customers is ‘grading’. Grading is a powerful tool that helps companies manage customer relationships based on economic worth. While there are several grading methodologies and many variations within these methodologies, the best approach is one that is tailored to a company's specific situation and one that is capable of being implemented. By using grading in combination with other tools and processes, financial service firms can target their customers more economically, reduce customer defection and increase revenue.     

Effective marketing for professional services

In many professions, the idea of marketing has traditionally been not only foreign but distasteful. After all, what doctor, lawyer, architect, or consultant worth his or her salt would even need to go out hustling business? While this view still holds considerable weight in many people's minds, it is gradually receding before the forces of economic reality. As more professions become overcrowded, competition for customers is sharpening. How should professionals go about drawing favorable attention to themselves? By first recognizing the special problems they face in marketing their services, argues the author. Among the obstacles he identifies are buyer uncertainty about obtaining professional services, the difficulties of distinguishing among firms, and the immeasurable benefits of advertising. Among his suggestions are that providers of these services concentrate on educating prospective customers about the opportunities and limitations of the services, team up with others who have desirable experience, and do marketing research to identify and then cater to customer desires.     

Tailored logistics: the next advantage

How many top executives have ever visited with managers who move materials from the factory to the store? How many still reduce the costs of logistics to the rent of warehouses and the fees charged by common carriers? To judge by hours of senior management attention, logistics problems do not rank high. But logistics have the potential to become the next governing element of strategy. Whether they know it or not, senior managers of every retail store and diversified manufacturing company compete in logistically distinct businesses. Customer needs vary, and companies can tailor their logistics systems to serve their customers better and more profitably. Companies do not create value for customers and sustainable advantage for themselves merely by offering varieties of goods. Rather, they offer goods in distinct ways. A particular can of Coca-Cola, for example, might be a can of Coca-Cola going to a vending machine, or a can of Coca-Cola that comes with billing services. There is a fortune buried in this distinction. The goal of logistics strategy is building distinct approaches to distinct groups of customers. The first step is organizing a cross-functional team to proceed through the following steps: segmenting customers according to purchase criteria, establishing different standards of service for different customer segments, tailoring logistics pipelines to support each segment, and creating economics of scale to determine which assets can be shared among various pipelines. The goal of establishing logistically distinct businesses is familiar: improved knowledge of customers and improved means of satisfying them.     

Can superior CRM capabilities improve performance in banking

The market enthusiasm generated around investment in customer relationship management (CRM) technology is in stark contrast to the nay-saying by many academic and business commentators. This raises an important research question concerning the extent to which banks should continue to invest in CRM technology. Drawing on field interviews and a survey of senior bank executives the results reveal that a superior CRM capability can deliver improved performance. The paper then demonstrates that in order to be most successful, CRM programs require a combination of technical, human and business capabilities.     

The role of attitudinal loyalty in the development of customer relationship management strategy within service firms

To facilitate the management of customer relationships, software manufacturers have developed customer relationship management (CRM) systems. These are enterprise-wide applications that can provide a single view of any customer's interactions with the company by tracking communications from both sides, recording purchases and thus developing an understanding of each customer's preferences. The need to generate behavioural loyalty has been identified as one of the major drivers for implementing CRM systems. There is relatively little research on attitudinal loyalty and CRM, however, with the bulk of the research conducted so far being focused on behavioural loyalty. The emphasis on behavioural loyalty has led to CRM being used to develop behavioural loyalty strategies. Generally speaking these strategies involve creating loyalty programmes, where incentives are offered to generate repeat purchase, or to sell more of the organisation's products and services to existing customers. The purpose of this research is to investigate the objectives and strategies of CRM in the finance industry and to compare these with the CRM objectives and strategies found in other service industries. The authors investigate to what degree the development of attitudinal loyalty is a factor in the creation of CRM strategy. This study is a qualitative study made up of 25 one-hour interviews with marketing and CRM managers. These 25 interviews consist of 11 interviews from the finance industry and 14 interviews from other industries as comparators. The results will be presented and contributions, limitations and suggestions for further research discussed.     

The marketing cube

Today's business professional should consider three dimensions, or success drivers, when devising marketing programmes: profitability, profit potential and likelihood for retention — the ’marketing cube‘. Simply said, the margins on customers who fall into the ’right customer‘ group, as defined by this framework, are too great to ignore. Profit, widely confused with lifetime value, is a fact based on previous behaviour — and many financial service organisations are now calculating revenue minus costs for each customer to determine profit. Profit potential is an estimate of one individual customer's contribution to a company's bottom line. It emerges from a model. The modelled profit less actual is referred to as ’profit opportunity‘.Retention is the third component of the framework, and here there are ways to predict the loss of revenue from customers and implement preventive measures, before this loss even happens. A matrix of these three dimensions can help any financial service marketer build a next most logical product model and business rules that govern a successful customer relationship management (CRM) programme.