第 1 章
The Customerpocalypse Is Coming: Will Your Business Survive?
When Alan Trefler wrote "Build for Change," he wasn't just predicting a shift in consumer behavior-he was sounding an alarm about an extinction-level event facing businesses worldwide. As founder and CEO of Pegasystems, Trefler has witnessed countless companies falter when confronted with rapidly evolving customer expectations. His book has become required reading in executive suites across industries, with CEOs like Jamie Dimon of JPMorgan Chase reportedly keeping copies on their desks. The book's central premise is both simple and terrifying: businesses that can't adapt to the demands of digitally-empowered customers won't just lose market share-they'll cease to exist entirely.
第 2 章
The Rise of Generation D and the Death of Customer Loyalty
We've entered an era where traditional notions of customer loyalty have been turned upside down. Trefler identifies a new breed of consumers he calls "Generation D"-not defined by age but by digital behavior patterns. These consumers are hyper-connected, tech-savvy, and extraordinarily demanding. Unlike previous generations, Gen D doesn't merely expect good service; they demand perfect experiences across all touchpoints, from mobile apps to in-store interactions, social media engagement to customer support.
"Generation D stands for discover, devour, demonize," Trefler explains. These customers reject being "sold to" as a form of control, viewing traditional marketing tactics with skepticism and even hostility. They expect to discover products on their own terms through seamless, intuitive experiences, often relying on peer recommendations and authentic content. When pleased, they anthropomorphize brands, incorporating them into their identity-"I don't just use Lush cosmetics; I am Lush." But when disappointed, they transform into brand assassins, leveraging social media to inflict maximum damage with unprecedented speed and reach.
The Microsoft Xbox One launch debacle serves as a cautionary tale. When the company announced restrictions on used games and mandatory online connectivity, the backlash was immediate and fierce. Gen D customers didn't just complain-they organized boycotts, created viral memes, and launched social media campaigns that reached millions. Within days, Microsoft faced a PR nightmare that forced them to reverse course, demonstrating the raw power of Gen D's collective voice.
What makes Gen D particularly dangerous is their influence on older consumers and broader market expectations. Their demands for seamless, omnichannel experiences are becoming universal standards. They expect companies to maintain detailed knowledge of their preferences and past interactions across all platforms, while simultaneously respecting privacy boundaries-a delicate balance few organizations manage successfully. They seek personalized recommendations that feel like organic discoveries rather than algorithmic suggestions or sales tactics.
Companies like Lush cosmetics and Apple have mastered this new paradigm by creating immersive brand experiences. Lush stores feature unwrapped products for hands-on exploration, staff who embody the brand's values rather than push sales, and transparent ethical practices that resonate with Gen D's desire for authenticity. Their social media strategy emphasizes genuine engagement over promotional content. When a customer tweets about Lush and receives a personalized response that shows real understanding, "loyalty deepens"-but importantly, it's the company proving loyalty to the customer, not the reverse.
For businesses accustomed to traditional customer relationships, this represents a fundamental power shift. The old model of building customer loyalty through reward programs and marketing campaigns has given way to a new reality where brands must constantly earn and re-earn customer trust. As former GM CEO Rick Wagoner admitted, "We used to 'own' the customer. Now we hope and pray that they want to 'own' us." This new dynamic requires organizations to fundamentally reimagine their approach to customer relationships, focusing on authenticity, transparency, and consistent excellence across all touchpoints.
第 3 章
The Data Paradox: When More Information Leads to Less Understanding
Most companies have responded to rising customer expectations by collecting ever more data. They track website navigation paths, items viewed but not purchased, seconds spent on pages, social media interactions, purchase histories, and even physical store movements through beacon technology. Organizations are convinced this granular information will improve customer interactions and lead to more personalized experiences. Yet this approach often backfires spectacularly with Generation D customers, who are increasingly sensitive to how their data is collected and used.
The fundamental problem is that data represents only the past-it's memory, not intelligence. Without proper context, the sheer volume becomes overwhelming for service representatives who can't possibly navigate, understand, and interpret it quickly enough to benefit customers. Customer service agents often find themselves drowning in dashboards, reports, and analytics tools while the customer waits impatiently for assistance. As Trefler puts it, "Data alone is like memory without judgment-it keeps you mired in the past and unable to adapt to new situations." This paralysis by analysis can actually degrade service quality rather than enhance it.
Sony's data-driven myopia exemplifies this danger. Despite having divisions spanning recording to devices, and massive amounts of market research data, Sony missed the shift from physical to digital music, allowing Apple to disrupt their business with iPod and iTunes. While Sony remained obsessed with protecting assets and corporate structure, analyzing historical sales data of CDs and Walkmans, Apple brilliantly combined historical data with customer desires to create an integrated ecosystem. Sony's siloed approach to data analysis prevented them from seeing the bigger picture of how music consumption was evolving.
Even more concerning is how excessive data collection often creates customer resentment. While Gen D willingly shares intimate details with friends on social media, they become hostile when businesses gather their information for sales purposes. They distinguish clearly between chosen vulnerability and corporate surveillance. Facebook's 2007 Beacon program exemplifies this danger-it collected and published user activity from partner websites without clear consent, tracking purchases, viewed items, and browsing patterns. This triggered immediate backlash, multiple class-action lawsuits, and eventual shutdown of the program.
Target's pregnancy prediction model demonstrates another pitfall of overzealous data analysis. By analyzing purchase patterns of items like unscented lotions, supplements, and certain clothing, they identified a pregnant teenager and sent baby-related coupons before her father knew, causing significant family conflict and privacy concerns. Similar cases have emerged where companies' predictive analytics revealed sensitive personal information about health conditions, relationship status, or major life changes before individuals were ready to disclose them. Such invasive data practices make customers deeply suspicious of businesses and can permanently damage trust.
The paradox for businesses lies in threading the needle between gathering data customers expect you to have while not appearing creepy or invasive. The solution isn't more data but better context-understanding not just who customers are but why they engage with you and what they truly want. This requires combining quantitative data with qualitative insights, respecting privacy boundaries, and being transparent about data usage. Successful companies focus on collecting only relevant data that directly improves customer experience rather than hoarding information for potential future use.
第 4 章
Beyond Data: Adding Judgment and Intent to Customer Interactions
To move beyond mere data collection, businesses must understand all "six Ws": not just who, but why customers engage, what to offer them, where they prefer to be served, when they need service, and how to deliver expectations. Context transforms raw data into actionable insight.
Intent transforms data by adding two dimensions: understanding why customers come to you (customer intentions) and what your business wants to achieve (business intent). While Generation D resists being "sold to," they engage in conversations revealing preferences. Intent comprises customer personality, goals, desires, and your business objectives.
Consider baseball star C.C. Sabathia: batters don't prepare for the "average" of all his pitches-that would be as useless as knowing barnyard animals have an average of three legs. Instead, they look for specific clues-hand position, ball seams-that add color to the raw data point "fastball" and inform their judgment. Similarly, businesses need to move beyond averages and raw data to understand the nuanced context of customer interactions.
With judgment added, data becomes dramatically more powerful. A credit card company spotting identical charges can proactively question potential duplicates. When customers call about unrecognized charges like "DBA/Scintilla Business Services," systems with judgment can recognize patterns-perhaps it's actually a florist customers frequently forget ordering from.
Farmers Insurance transformed its business by applying judgment to data, enabling agents to provide tailored small business insurance quotes in 15 minutes instead of two weeks. This approach doubled market share and increased umbrella policy sales by 70%.
Rather than endlessly accumulating more data, smart companies apply the scientific method to get the right data. This five-step approach-observation, hypothesis, prediction, experimentation, and conclusion-helps uncover the laws governing customer engagement.
The key to understanding intent lies in hypothesizing which data relationships are causal rather than mere correlations. Without proper hypotheses, teams make random changes without strategy-like wandering a maze blindly hoping to find the exit.
Next-best-action is how you pragmatically work with people amid overwhelming data, bringing judgment to customer contact points. It operates on a simple premise: offer the right thing to the right person at the right time, balancing customer needs with business objectives. This approach flips the old model of creating a product then finding customers-instead becoming truly customer-centric.
第 5 章
Building Customer Processes That Adapt and Evolve
To be truly responsive to customers, companies need more than just data (memory) and intent (judgment)-they need muscle in the form of customer processes. These processes complete the "six Ws" by adding when, where, and how to the who, what, and why provided by data and intent.
Customer processes must be intelligent and fast enough to adapt to each customer's unique situation and requests. Only when memory, intent, and muscle work together can businesses achieve truly customer-centric outcomes.
BB&T Corporation discovered that simply digitizing their cumbersome account opening process wasn't enough-it created frustration when customers couldn't seamlessly move between channels. Their breakthrough came when they designed a unified account-opening process that connected front-office customer interactions with back-office procedures across all channels. The results were dramatic: application abandonment decreased by half, operational costs dropped 75%, account opening time reduced from weeks to minutes, and customer satisfaction soared to 90%.
Traditional business process modeling fails because it documents internal steps rather than customer journeys. To create genuine customer processes, start with one question: How does my customer want to engage with me? This perspective prevents you from creating disconnected silos when adding new channels.
Prudential Group Insurance transformed its customer service by redesigning processes from the client's perspective. Previously, eight separate data silos and multiple call centers created inconsistent experiences, especially when customers needed to cross business lines. Their solution enabled any customer service associate to handle any call for any product-precisely what today's customers expect.
Similarly, American Express revolutionized its approach by shifting focus from the physical card to relationships built on trust and service. They replaced "Customer Service Representatives" with empowered "Customer Care Professionals" across a global network of 16,000 staff. This "Relationship Care" philosophy, focused on emotional connections rather than transaction speed, helped American Express win seven consecutive J.D. Power awards for customer satisfaction.
Creating a truly high-definition view of customers requires more than the traditional 360-degree data perspective. You need three complete views: 360 degrees of data, 360 degrees of intent, and 360 degrees of customer process. Together, these create a "1080" high-definition panorama that reveals customers with unprecedented clarity.
第 6 章
The Business-IT Collision: Why Technology Often Fails Customers
Technology has become the fundamental differentiator in modern business. For companies with diverse customer bases, multiple products, and operations across locations, succeeding without technology is impossible. As Accenture's Technology Vision 2013 states: "Without information and technology, a business is blind in today's digital world... Every business is now a digital business."
Yet a deep frustration exists between business and IT departments. Business users wonder why their seamless technology experiences at home can't be replicated at work, while IT departments struggle under budget constraints and legacy system maintenance. Marketing departments particularly lack confidence in IT, with 32% believing technology management actually hinders business success.
The traditional development process begins with businesspeople creating exhaustive requirements documents that attempt to anticipate every need for years to come. These requirements transform through multiple interpretations-from business requirements to design specifications to code-each step creating further distance from the original intent. This "waterfall model" proceeds through sequential phases with minimal feedback, often taking 12-18 months before users can test the application.
By then, the original customer-related idea is outdated, and the code is four generations removed from the initial concept. The result is what Trefler calls "zombie systems"-intrinsically unresponsive and stagnant applications that bear little resemblance to original specifications and create a shaky foundation for future changes.
When businesspeople can't get needed changes through traditional development, they create manual workarounds-sometimes using Excel spreadsheets or simple databases, sometimes purely through policies and training. These workarounds waste human resources on tasks computers should handle and typically lack proper safeguards and controls, leading to disasters like the $1.4 billion Barings Bank collapse in 1995 and JPMorgan's $6.2 billion "London Whale" trading losses in 2012.
Many claim to bridge the gap between great home tech experiences and poor workplace ones, but most solutions merely relocate the traditional development process (offshore development) or address deployment rather than development (cloud computing). Agile software development moves in the right direction but falls short when implemented within traditional waterfall cultures.
What organizations truly need is agile development within an agile culture. The business-IT communication breakdown perpetuates this dysfunctional cycle. Organizations must abandon the traditional development approach with its waterfall model and requirements specifications, embracing instead a rational approach driven by business decisions rather than controlled "sluice gate" mentality.
第 7 章
Liberating Your Organization for the Digital Age
To transform the business-IT relationship, organizations must go beyond simple realignment to achieve cross-pollination-combining the best DNA from multiple sources to create something stronger. This "hybrid vigor" occurs when genetically different entities crossbreed to produce superior qualities.
One leading U.S. benefits management company pulled hundreds of IT employees into "innovation centers" working directly with business lines. This competitive innovation incubator rewarded investments in customer experience projects that generated real business results within a financial quarter. The result was transformative-business and IT people began functioning as a unified team rather than as users and service providers.
Cross-pollination requires identifying commonalities across your organization that aren't currently organized with commonality in mind. This means breaking down silos by examining everything from the customer perspective and identifying processes with similar attributes. This task is challenging because entrenched departments typically insist their processes are unique, when they rarely are.
Some organizations have elevated process excellence by establishing a Chief Process Officer (CPO) position, recognizing the critical importance of customer processes across the enterprise. Telstra, Australia's leading telecommunications company, made process excellence central to its top strategic priority of improving customer service. Their General Manager of Process Excellence, Peter McDonald, leads a dedicated team focused on translating customer desires into specific requirements and improved processes that deliver not just customer needs but their "wants" and "wows."
Traditional definitions of customer service are fundamentally transaction-centered, focusing on "time of sale," "satisfaction with a product," or "performing a transaction." These outdated concepts must be discarded to achieve 1080 high-definition customer relationships. American Express exemplifies this transformation by redefining customer service roles completely. They converted their Customer Service Representatives into Customer Care Professionals responsible for customer engagement.
This shift from "service" to "engagement" is profound-while "service" merely performs auxiliary business functions, "engagement" builds relationships by occupying, attracting and involving customers' interest. American Express built this transformation around an operating framework to enable, engage, and empower. They created an integrated global delivery system leveraging technology and passionate employees, listened to customer voices to reshape their business model, and empowered customer-facing staff to build authentic relationships.
第 8 章
You Are Your Software: The Digital Imperative
The digital future demands fundamental transformation in how businesses engage with Gen D customers - those who are digitally native and expect seamless technological experiences. OCBC's FRANK initiative exemplifies Gen D-focused innovation through multiple touchpoints: brick-and-mortar stores meticulously modeled after Apple's retail experience, featuring open layouts and interactive displays; minimalist websites stripped of traditional banking formality and jargon; competitive higher interest rates tailored for young professionals; and intuitive "savings jars" that mirror how younger customers naturally think about money management and goal setting. The success of FRANK demonstrates how traditional institutions can reinvent themselves for the digital age while maintaining their core services.
Similarly, Commonwealth Bank of Australia's revolutionary house-hunting app showcases the power of integrated digital solutions. The app combines image recognition, GPS technology, and augmented reality to instantly provide property information when users point their phones at buildings. It delivers real-time data including price history, comparable sales, and neighborhood statistics, while offering immediate mortgage pre-approval calculations. This integration of multiple technologies creates a seamless experience that transforms the traditional home-buying process.
Three core principles emerge as essential for survival in the digital age: democratize how you do technology, think in layers, and use analytics to optimize continually. Each principle combines business and technology components but fundamentally focuses on making technology empower and serve businesspeople rather than constrain them.
Democratization means eliminating technical jargon and complex coding requirements in favor of business language and intuitive interfaces. Modern systems now enable direct programming using business concepts and natural language, allowing marketing managers, product developers, and customer service leaders to implement changes without requiring technical intermediaries. For example, business rules can be written in plain English, and workflow changes can be made through drag-and-drop interfaces, reducing time-to-market and eliminating costly miscommunications.
When businesspeople drive technology rather than the reverse, they can build solutions that better address customer needs. Traditional systems created by technologists are often constrained by rigid computer codes and languages, resulting in flat, two-dimensional systems typically represented as flow charts with if-then-else branches. The solution lies in identifying common elements versus distinctive features across multiple dimensions - such as customer segments, products, channels, and contexts - and letting modern computers handle the underlying complexity. This enables true personalization at scale without creating maintenance nightmares.
Once you've embraced multidimensional thinking and layered technology, analytics become crucial for refining your high-definition view of customers. Dynamic analytics examine patterns across millions of customer interactions, transactions, and behaviors to sense needs, preferences, and anticipate future actions - forming the heart of next-best-action approaches. Unlike static systems, dynamic analytics adapt in real-time during customer interactions as new information emerges. For instance, a customer's response to an offer immediately updates their profile and influences subsequent recommendations, dramatically changing how businesses engage with customers and create personalized experiences.
第 9 章
Beyond the Twilight of the Brands: Building for Change
The pressure to transform business technology is intensifying as Generation Digital (Gen D) fundamentally reshapes customer expectations and behaviors. Accenture's 2013 Global Consumer Pulse Survey reveals a staggering "switching economy" worth $5.9 trillion, where 66% of consumers switched companies due to poor service experiences, and 82% believed providers could have prevented their departure. This represents not just a shift in consumer behavior, but a seismic transformation in how brand loyalty operates in the digital age.
As venture capitalist Marc Andreessen famously argued, "Software is eating the world," and companies across all industries - from manufacturing to healthcare, retail to transportation - must essentially become software companies to survive. This transformation goes far beyond simple digitization; your software must deeply embody your brand promise, company DNA, ethics, and authentic customer commitment. These elements cannot be effectively outsourced to third-party technology providers selling standardized solutions or superficial "placebo" apps that merely create the appearance of digital engagement.
In what's been termed the "twilight of the brands," businesses must internalize and learn from Gen D's empowered, informed, and demanding nature. Traditional brand loyalty has evolved into a transaction-by-transaction evaluation where you're "only as good as your last product" and most recent customer interaction. These crucial interactions increasingly occur in virtual spaces designed and controlled by software - meaning your customers now judge your entire organization by this digital experience before even considering your actual product or service offering.
Organizations must move beyond following trendy digital transformation checklists (like wholesale IT outsourcing, unfocused Big Data initiatives, or simply adding social media icons to websites). Instead, they should empower their best internal innovators to model customer journeys in ways that reflect their unique understanding of both the business and its customers. The practice of delegating critical software development offshore or betting on generic SaaS tools must end - these approaches fail to create meaningful differentiation in an increasingly competitive marketplace.
The new software layer must be YOUR software - deeply personalized, contextually adaptive, and constantly evolving through continuous deployment and iteration. This always-on, always-adapting approach will replace traditional static branding, rebuilding and renewing customer trust with each interaction. Success requires starting this transformation immediately, as the gap between customer expectations and legacy systems widens daily.
The customerpocalypse isn't a future threat - it's an present reality reshaping business landscapes across every sector. Companies that fail to fundamentally transform how they engage with customers through technology won't just struggle to compete; they'll face existential threats to their survival. The survivors and leaders of tomorrow will be those who build for constant change, creating adaptive systems that evolve alongside customer expectations and treat every single interaction as a fresh opportunity to earn loyalty anew. This requires not just technical expertise, but a complete organizational mindset shift toward continuous innovation and customer-centricity.
