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Questions and Answers

Within the context of transitioning a financial institution to a customer-centric model, what delineates the most critical divergence in operational ethos as perceived by employees?

  • A shift from prioritizing individual customer interactions to focusing on aggregate sales metrics, fostering a competitive environment among employees.
  • A measured transition from reactive customer service protocols to proactive marketing strategies, anticipating customer needs through predictive analytics and personalized advertising.
  • A move from emphasizing specialized product knowledge to promoting generalized financial literacy across the customer base to reduce reliance on expert advice.
  • A paradigm shift from incentivizing the proliferation of numerous products to instilling a value system centered on cultivating enduring customer relationships through tailored solutions. (correct)

What strategic imperative should a bank prioritize to effectively embed a customer-centric ethos throughout its organizational architecture?

  • Establishing distinct operational silos for customer relationship management, segregating front-line customer engagement from back-end product development and compliance.
  • Implementing a top-down mandate for all departments to adhere to uniform sales quotas and product distribution targets, irrespective of customer segmentation.
  • Fostering a cohesive culture that transcends hierarchical levels and departmental functions through consistent training, coaching, and communication strategies, uniformly reinforcing customer-centric values. (correct)
  • Decentralizing customer feedback mechanisms to allow localized branches autonomy in addressing customer complaints, thereby eliminating systemic issues and promoting regional responsiveness.

In the transition to a customer-centric approach, how should a financial institution strategically reorient its operational perspective to enhance customer engagement and satisfaction?

  • By implementing stringent data analytics protocols to predict customer behavior and preemptively adjust service offerings to maintain operational efficiency.
  • By shifting from an internally focused operational model to one that actively solicits and integrates customer feedback and insights into its core strategies. (correct)
  • By prioritizing technological upgrades to automate customer interactions, thereby minimizing human error and enhancing service speed.
  • By standardizing service delivery processes to ensure uniformity and reduce operational costs, thus streamlining the customer experience.

Considering the architectural nuances of modern banking infrastructures, which of the following strategies would MOST effectively address the inherent challenges of data latency and inconsistency when integrating a third-party Customer Relationship Management (CRM) system with a legacy core banking platform?

<p>Establishing a message queue-based asynchronous data replication mechanism leveraging technologies such as Apache Kafka, specifically engineered to handle eventual consistency and high-volume transaction data. (B)</p> Signup and view all the answers

When architecting customer-centric propositions, what methodological framework should a bank employ to ensure that these propositions effectively address customer needs and generate commercial value?

<p>Conducting thorough customer research, modeling, and rigorous testing with targeted customer segments to validate the commercial viability and customer desirability of the propositions. (C)</p> Signup and view all the answers

In the context of advanced customer analytics within a financial institution, which of the following methodologies MOST comprehensively leverages unsupervised machine learning to discover actionable insights from a high-dimensional dataset comprising transactional, demographic, and behavioral customer data, while also addressing the inherent challenges of interpretability and scalability?

<p>Employing a density-based clustering algorithm like DBSCAN, coupled with dimensionality reduction techniques such as t-distributed stochastic neighbor embedding (t-SNE) for visualization, and SHAP (SHapley Additive exPlanations) values for feature importance analysis within each cluster. (B)</p> Signup and view all the answers

What constitutes the most significant impediment to the successful implementation of a customer-centric strategy within a financial organization?

<p>A pervasive lack of a customer-centric culture that transcends individual departments and permeates the entire organizational structure. (B)</p> Signup and view all the answers

Considering the multifaceted challenges of regulatory compliance and data governance in modern banking, which of the following architectural patterns BEST facilitates the secure and auditable management of sensitive customer data across a heterogeneous ecosystem comprising on-premises data warehouses, cloud-based data lakes, and real-time streaming platforms?

<p>Adopting a data mesh architecture with decentralized data ownership and domain-driven data product development, emphasizing self-service data access and federated governance based on pre-defined data quality metrics and compliance standards. (B)</p> Signup and view all the answers

What is the most accurate method of increasing customer satisfaction using a CRM?

<p>Employing sentiment analysis on customer interactions combined with personalized offers delivered through preferred channels. (A)</p> Signup and view all the answers

How does transitioning to a customer-centric banking model necessitate a fundamental realignment of product and service delivery?

<p>By replacing inflexible product bundles with agile, value-driven propositions designed to solve discrete customer problems, irrespective of channel or legacy infrastructure. (D)</p> Signup and view all the answers

In cultivating a customer-centric culture, what pedagogical paradigm should leadership employ to instill and perpetuate the requisite customer-centric values and behaviors among employees?

<p>Experiential learning simulations involving gamified scenarios that mimic real-time customer interactions and foster employees' emotional intelligence and empathy. (B)</p> Signup and view all the answers

Considering the limitations of traditional A/B testing methodologies in the context of highly personalized customer experiences, which of the following advanced techniques BEST facilitates the iterative optimization of personalized offers and interactions delivered through a Customer Relationship Management (CRM) system, while also accounting for the inherent complexities of heterogeneous customer segments and dynamic environmental factors?

<p>Adopting a reinforcement learning (RL) approach with a Markov decision process (MDP) formulation to model the sequential decision-making process of customer interactions, training an agent to optimize long-term customer lifetime value through adaptive offer strategies. (D)</p> Signup and view all the answers

What long-term strategic risk does a financial institution incur by neglecting to cultivate a robust customer-centric culture across all echelons of its organizational framework?

<p>Progressive erosion of customer loyalty and competitive advantage, compounded by escalating customer acquisition costs and diminished lifetime value. (C)</p> Signup and view all the answers

A banking regulator mandates the public disclosure of complaint statistics. Which represents the most sophisticated method of leveraging this data to foster competition and improve customer service across the banking sector?

<p>Creating a composite score weighting complaint type, resolution time, and escalation frequency, adjusted for bank size, and using this to rank banks, incentivizing comprehensive service improvement. (C)</p> Signup and view all the answers

How does the mandate for banks to provide complaint resolution processes and timelines specifically align with broader trends in consumer protection and service expectations, particularly in the context of digital banking?

<p>It creates a feedback loop where banks are incentivized to reduce resolution times and improve communication, aligning directly with consumer demands for immediate and transparent digital interactions. (C)</p> Signup and view all the answers

Considering the evolving landscape of consumer expectations driven by instant gratification models (e.g., fast delivery), what is the most profound strategic challenge for traditional banks in adapting their customer service approaches?

<p>The main challenge lies in recalibrating internal processes and legacy systems to achieve rapid response times while maintaining regulatory compliance and data security. (C)</p> Signup and view all the answers

In the context of heightened consumer expectations for immediate service, what is the most critical trade-off that banks must manage when implementing instant transaction notifications?

<p>Weighing the increased customer satisfaction from immediate alerts against the potential for alert fatigue and desensitization, which could reduce vigilance. (C)</p> Signup and view all the answers

Given the imperative for banks to provide seamless multi-channel experiences, what architectural paradigm offers the most robust foundation for ensuring data consistency and eliminating the need for customers to re-enter information across different touchpoints?

<p>Implementing a microservices architecture with a centralized customer data platform (CDP) that acts as the single source of truth, ensuring consistent data presentation and processing across all channels. (D)</p> Signup and view all the answers

Considering the drive toward customer convenience, what presents the most significant challenge for banks in allowing customers to open new products or manage existing services via their preferred device or channel?

<p>Maintaining robust Know Your Customer (KYC) and Anti-Money Laundering (AML) compliance across diverse channels without compromising user experience. (D)</p> Signup and view all the answers

In the context of customer service improvements, how can banks utilize transaction data and behavioral analytics to preemptively address potential customer issues and enhance overall satisfaction?

<p>By implementing real-time monitoring of transaction patterns and proactively contacting customers about unusual activity or potential financial distress, offering tailored solutions and advice. (B)</p> Signup and view all the answers

What is the most sophisticated application of AI and machine learning in transforming customer complaint management from a reactive process into a proactive feedback loop for continuous improvement?

<p>Using sentiment analysis to gauge customer emotional responses in complaint narratives, coupled with predictive modeling to identify systemic issues and preemptively address their root causes across products and services. (C)</p> Signup and view all the answers

Given the principles of predictive banking and customer relationship management, what philosophical challenge emerges when a bank attempts to forecast a customer's 'future value' based on shared information?

<p>The paradox of determinism, where predicting customer behavior could inadvertently alter their free will and invalidate the prediction. (D)</p> Signup and view all the answers

If a banking institution profiles customers based on transactional behavior, differentiating between 'users' who utilize free services and 'customers' who actively engage with paid products, what advanced analytical method could most effectively model the latent transition probabilities between these states over an extended period, accounting for external economic factors and individual life events?

<p>A time-inhomogeneous Markov chain model incorporating macroeconomic variables and customer lifecycle events as covariates. (D)</p> Signup and view all the answers

In the context of customer interaction analysis, what inferential challenge arises when a customer consistently browses product information online but never completes a purchase, and how can this behavior be differentiated from a prospect genuinely interested in the product?

<p>Differentiating requires employing counterfactual reasoning to estimate the customer's latent propensity to purchase under different marketing interventions. (D)</p> Signup and view all the answers

Considering the ethical dimensions of leveraging customer data, how should a bank reconcile the dual mandate of maximizing shareholder value through targeted marketing and upholding customer privacy when employing AI-driven personalization?

<p>Implement a differential privacy framework that injects calibrated noise into customer data to obfuscate individual preferences while preserving aggregate trends. (D)</p> Signup and view all the answers

If a bank observes a customer exhibiting channel-switching behavior (e.g., initiating a product inquiry online but completing the purchase in a branch), what modeling approach would best capture the complex interplay of factors influencing channel preference and predict future channel selection for personalized service delivery?

<p>A hybrid discrete choice model augmented with natural language processing of customer service interactions to quantify channel-specific sentiment. (D)</p> Signup and view all the answers

In what way does the distinction between a 'prospect' and a 'customer' necessitate fundamentally different strategies regarding data valuation and relationship management, particularly when considering the long-term financial health of the bank?

<p>Prospect valuation requires Bayesian inference to impute missing data and project potential customer lifetime value, whereas customer valuation focuses on realized revenue and retention strategies. (A)</p> Signup and view all the answers

What are the fundamental limitations of applying traditional credit scoring models, primarily designed for risk assessment, to the task of predicting a customer's propensity to adopt new financial products or services?

<p>Credit scoring models lack the granularity to capture nuanced behavioral patterns and psychological factors driving product adoption decisions. (C)</p> Signup and view all the answers

When implementing 'call to action' strategies in digital marketing, what critical ethical consideration must banks address to avoid manipulative practices that could erode customer trust, especially when targeting vulnerable segments?

<p>Ensuring that the persuasive techniques used in marketing campaigns are transparent, clearly disclosed, and do not exploit cognitive biases or emotional vulnerabilities. (C)</p> Signup and view all the answers

In the context of regulatory compliance and customer relations within retail banking, what delineates the crucial distinction between treating customers 'fairly' and 'equally', especially concerning value generation and competitive pressures?

<p>Fair treatment denotes ensuring transparent, understandable terms and conditions for all customers, recognizing diverse value contributions without direct preferential service offerings, while equal treatment implies an unattainable, impractical uniformity in service delivery. (D)</p> Signup and view all the answers

How does a customer-centric bank strategically leverage its 'code of conduct' to empower customer-facing employees, and what specific impact does this empowerment have on customer perception and issue resolution efficacy?

<p>The code is used to grant employees autonomy in resolving issues, fostering a perception of the bank valuing customers and seriously addressing feedback, which enhances first point resolution and reduces escalation needs. (C)</p> Signup and view all the answers

In the context of unforeseen service failures and customer complaints, what measures does a customer-focused bank implement to demonstrate its commitment to 'reasonable care and skill,' and how do these measures align with regulatory expectations and customer satisfaction?

<p>It proactively identifies and rectifies service failures, maintains meticulous financial records, provides timely and accurate service delivery, and adheres to transparent, regulated complaint processes to foster trust and satisfaction. (B)</p> Signup and view all the answers

Within competitive retail banking, what are the nuanced strategic implications of a bank’s willingness to authorize 'on-the-spot refunds' or ex-gratia payments by customer-facing employees, and how does this align with long-term customer retention and brand reputation?

<p>The goal is to empower employees in immediate issue resolution, signaling to customers that their concerns are valued and addressed without bureaucratic delays, reinforcing loyalty and enhancing positive brand perception. (B)</p> Signup and view all the answers

Considering the interplay between regulatory mandates and internal organizational policies, how should a bank optimally structure and evolve its 'code of conduct' to ensure consistent fair treatment of customers while dynamically adapting to shifting market conditions and emerging customer expectations?

<p>It requires continuous refinement based on real-time customer feedback and emerging market trends, integrating predictive analytics to proactively address potential service gaps and ensuring employees are trained to handle novel situations effectively. (D)</p> Signup and view all the answers

How can a bank most effectively utilize data analytics to identify and rectify systemic issues in service delivery that lead to customer complaints, and how does this proactive approach compare to reactive complaint management in terms of long-term risk mitigation and customer relationship management?

<p>By employing predictive analytics to forecast potential service failures and proactively address systemic issues before they escalate into complaints, fostering long-term customer loyalty and reducing operational risks through anticipatory management. (D)</p> Signup and view all the answers

What strategies could a retail bank implement to effectively balance the imperative of treating customers fairly with the practical realities of differentiating service levels based on customer lifetime value (CLV) without alienating lower-value customer segments or violating principles of ethical banking?

<p>Focus on uniformly improving the baseline level of service across all customer segments, ensuring all customers receive prompt and efficient support, while subtly offering preferential treatment to higher CLV customers through personalized communications and tailored product recommendations. (C)</p> Signup and view all the answers

Considering the increasing sophistication of artificial intelligence and machine learning, how can a bank ethically and effectively integrate these technologies into its customer service operations to enhance efficiency and personalization while mitigating risks of bias, discrimination, and privacy violations?

<p>Utilize AI to automate routine tasks and provide personalized recommendations, while establishing robust oversight mechanisms to monitor AI behavior, correct biases, and ensure transparency in AI-driven decisions, obtaining explicit consent for data usage. (A)</p> Signup and view all the answers

A globally operating financial institution, facing stringent regulatory capital requirements post-Basel IV, identifies a segment of high-net-worth clients whose portfolios primarily comprise low-yielding sovereign debt. Despite the segment's current low profitability, under what highly specific condition should the institution strategically avoid divesting from this segment?

<p>If advanced stochastic modeling, incorporating macroeconomic uncertainties and geopolitical risks, demonstrates a statistically significant probability of these clients reallocating assets to higher-margin derivatives within a 24-month horizon. (D)</p> Signup and view all the answers

A multinational bank seeks to implement behavioral segmentation across its diverse customer base. Considering the computational complexity and data granularity required, which specific analytical approach would yield the most refined and actionable insights, assuming complete access to transactional and interactional data?

<p>Utilizing a recurrent neural network (RNN) with long short-term memory (LSTM) units trained on sequential transaction and interaction data to capture temporal dependencies and predict future product adoption propensities. (B)</p> Signup and view all the answers

A retail bank identifies a segment of tech-savvy millennials with high mobile banking usage but low adoption of wealth management products. What highly targeted intervention strategy, leveraging behavioral economics principles, would most effectively convert this segment into wealth management clients, assuming minimal direct human interaction?

<p>Offering a gamified robo-advisory platform with tiered rewards and social comparison features, incentivizing initial investments with small, immediate gains, and showcasing relative performance against peer benchmarks. (C)</p> Signup and view all the answers

In the context of a global systemic bank navigating an era of negative interest rates, which highly sophisticated methodology should be prioritized to accurately assess and optimize the customer lifetime value (CLTV), accounting for stochastic macroeconomic variables and evolving regulatory constraints?

<p>Employing Monte Carlo simulation with a multi-factor interest rate model calibrated to market-implied volatilities to project future cash flows discounted by a risk-adjusted hurdle rate incorporating counterparty credit risk. (A)</p> Signup and view all the answers

A financial institution identifies a cohort of dormant, high-value customers whose inactivity spans multiple product lines. What strategically nuanced reactivation campaign, integrating advanced predictive analytics and behavioral insights, would maximize the probability of re-engagement and revenue generation, while minimizing reputational risk?

<p>Leveraging machine learning algorithms to predict individual customers' 'propensity to re-engage' based on historical transaction data, life-stage events, and external market indicators, tailoring content and timing accordingly. (A)</p> Signup and view all the answers

A fintech startup aims to disrupt traditional banking by offering hyper-personalized financial services. Considering the limitations of historical data for a nascent entity, which innovative data augmentation technique would most effectively enhance customer segmentation and predictive modeling, while adhering to stringent data privacy regulations?

<p>Employing synthetic data generation methods, utilizing generative adversarial networks (GANs) trained on anonymized transactional data to create realistic but non-identifiable customer profiles for model training. (A)</p> Signup and view all the answers

A globally operating bank seeks to refine its customer segmentation strategy to account for the increasing prevalence of multi-banked customers. Which analytical approach, incorporating network theory and advanced econometrics, would provide the most granular and actionable insights into customer loyalty and cross-selling opportunities across competing financial institutions?

<p>Utilizing social network analysis (SNA) to map customer relationships across different banks, identifying influential nodes and communities, followed by a regression model to predict product adoption based on network centrality measures. (B)</p> Signup and view all the answers

An international Private Bank is struggling to increase the AUM (assets under management) from its existing client base. Which action would generate the most meaningful increase, taking into consideration client confidentiality and their appetite for unique investment opportunities.

<p>Segment the existing clients into cohorts and offer each cohort exclusive alternative investments based on their needs, ensuring the offers align with risk profiles to foster long-term financial growth and loyalty. (A)</p> Signup and view all the answers

Flashcards

Customer-centric strategy

Prioritizing mutual value through customer satisfaction and loyalty rather than solely focusing on maximizing product sales.

Implementing customer-centricity

A cultural shift implemented throughout the organization, starting from the CEO down to front-line employees.

Reinforcing customer focus

Reinforcing a customer-centric approach through formal training, coaching, and communication.

Outward looking approach

Shifting focus from internal processes to customer insights and guidance.

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Customer propositions

Solutions built around customer needs, based on research and testing.

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Elements of a proposition

Combining products, services, and access methods to solve customer problems.

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Barrier to customer-centricity

The most significant obstacle to adopting a customer-centric strategy in organizations.

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Product-centric or sales-driven

Companies focusing on selling as many products as possible, rather than solving customer problems.

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Bank Complaint Disclosure

Banks must inform customers about their complaint process, resolution methods, and estimated timelines.

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Complaint Escalation

Customers can escalate complaints to regulators or ombudsmen for resolution.

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Complaint Reporting

Regulators may require banks to report complaint statistics (types, resolution times, escalations).

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Complaints as Feedback

Using complaints as feedback to improve products, services, and delivery.

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Response Time

Responding to customer inquiries promptly, ideally within 48 hours.

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Transaction Notifications

Informing customers of transactions as they occur.

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Easy Account Access

Allowing customers to access account info, make payments, and report fraud easily.

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No Redundancy

Eliminating the need for customers to repeat information when using services.

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Fair vs. Equal Treatment

Treating all customers fairly, but not necessarily equally, recognizing that different customers generate different levels of value for the bank.

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Bank's Code of Conduct

A set of guidelines, informed by customer research, that dictates how a bank should interact with and treat its customers.

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Employee Empowerment

Giving customer-facing employees the authority to resolve issues quickly, showing customers they are valued and respected.

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First Point Resolution

Resolving customer issues at the initial point of contact, avoiding passing the problem around.

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Ex-Gratia Payments

Payments or refunds made by employees, within set guidelines, to compensate customers for issues encountered.

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Reasonable Care and Skill

Acting responsibly towards the customer, maintaining accurate financial records, and delivering services as agreed upon.

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Complaints Processes

The process a bank has in place for addressing and resolving customer complaints.

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What is a complaint?

Products/services don't deliver on promises/meet expectations. A customer may complain.

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Customer Future Planning

Information about a customer's future plans and expectations, allowing the bank to anticipate their needs.

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Customer Information Sharing

Customers share financial intentions with their bank, anticipating responsible and mutually beneficial usage.

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Accurate Customer Predictions

Improved forecasts of a customer's potential profitability for the bank.

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Customer Behavior

Patterns in how a customer uses their bank account and interacts with the bank.

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'Customer' type

A customer who deposits their salary and uses the account for essential payments.

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'User' type

Someone who uses free bank services without being a primary account holder.

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Prospect

A potential customer who is considering purchasing a product from the bank.

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Customers

Have existing products/services and a continuing relationship with the bank.

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Constant Prospect Stream

The ongoing need for banks to acquire new prospects.

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Customer Value

Assessing the worth of customers, both now and in the future.

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Demographic Segmentation

Grouping customers based on characteristics like age or income.

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Psychographic Segmentation

Grouping customers by attitudes and psychological criteria.

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Geographic Segmentation

Grouping customers based on location.

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Behavioral Segmentation

Grouping customers by their actions toward the organization.

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Engaging Specific Segments

Turning less valuable segments into profitable ones.

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Resource Allocation

Directing finite bank resources to areas that maximize value creation.

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Data Repository

A store of customer data and transactions used to understand customer behavior, value and segments.

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Customer Analytics Platform

Software that processes customer data to identify target customers, understand their needs, and see how bank products meet those needs.

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Customer analytics software

Software helping perform 3 tasks: identify target customers, understand customer needs and meet customer needs

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CRM System

A core system for delivering a customer-centric experience, improving satisfaction, and building loyalty.

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CRM goals

Improving satisfaction, building trust and create sustainable value

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Study Notes

Introduction to Customer Management

  • Candidates completing the Customer Management module should understand how a bank's customer-centric model is put into practice
  • The importance of customer-centric culture in delivering the operating model must be understood
  • Know the key roles in a customer-centric retail bank

Defining Customer Management

  • Customer Management involves managing the relationship between an organization, its people, and its customers, aligning with strategy and business model
  • This relationship defines the ability to gain, grow, and retain customers by deeply understanding needs, behaviors, and values
  • Customer satisfaction is optimized and a relationship of trust and loyalty is established
  • Business models vary in their outcomes for an organization
  • Banks that wants to have a customer-centric business model must ensure this aim is aligned across itself, its people and its customers
  • A bank can't apply customer-centric models to isolated departments and expect the results of a fully integrated customer-centric model

Characteristics of Customer-Centricity

  • Product-centric companies design the best product on the market
  • Marketing in product-centric companies is done via direct marketing
  • Channel-centric models focuses on offering the most channels on the market and marketing via channel banners
  • Customer-centric companies are focused on finding solutions to customer problems, achieved using event & life-cycle triggers and a product hierarchy within segments
  • Product-centric processes is defined by products
  • Channel-centric processes is defined by the capabilities of its channels
  • Customer-centric process focuses on a matrix of actions and options based on the customer
  • Organizational structure in product-centric companies is Rigid, with friction between teams
  • Organizational structure in Channel-centric companies is Rigid, with friction between teams
  • Organizational structure in customer-centric companies involves cross-organizational teaming and low friction
  • Metrics in product-centric companies focus on profit and market share
  • Metrics for channel centric companies focus on cost and channel efficiency
  • Metrics for customer-centric companies focus on mutual value measures
  • A product or channel-centric strategy requires different business alignment and a 'Product Management' or 'Channel Management' module

Core Capabilities for Customer-Centric Retail Banks

  • A customer-centric retail bank will need to have core capabilities to deliver great customer experience, satisfaction, trust, and mutual value
  • Customer management capabilities include:
    • Managing the relationship between an organization, its people, and its customers
    • Ability to gain, grow, and keep valuable customers
    • Understanding customer needs, behaviors, and value
    • Ability to engage specific customers or segments
    • Optimizing customer satisfaction and trust

Perspectives on Customer-Centricity

  • A 2014 survey of 500 global marketers indicated that customer-centricity was critical for business success but often not implemented effectively
    • 73% said customer-centricity was critical to the success of the business
    • 14% said that customer-centricity was a hallmark of their company
    • Only 11% of respondents believed their customers would agree with that statement
    • Only 10% of senior marketers were highly satisfied with their organizations' ability to listen and respond to customer needs;
    • 18% believed that their back-office technology platforms could deliver on marketing promises
    • 10% were highly confident in using data to create insight and value
    • 20% had a comprehensive view of all touch points in the customer experience
    • 28% were personalizing experiences across online and offline interactions
  • Many organizations cannot segment and profile their customers effectively due to technology, systems, and processes limitations

Key Roles in a Customer-Centric Bank

  • Proposition managers own customer portfolios and develop propositions that realize customer dreams, solve problems, or help them get jobs done
  • Proposition managers Collaborate with colleagues from other departments, including product management, marketing, risk management, compliance, and operations
  • One key behavior is being able to empathize to avoid confirmation biases and misinterpretations
  • Customer insight managers create customer insight and hypotheses by working with market research and customer analytics teams
  • Customer analytics teams create customer segmentation models using behavior and value data to track customer contact

Managing the Bank-Customer Relationship

  • A customer-centric strategy must operate differently from a product or sales-oriented culture
  • Requires shift throughout organization to deliver mutual value through satisfaction and loyalty
  • The culture must be reinforced through training, coaching, and communication with employees and customers
  • Banks must shift from inward to outward-looking
  • Banks should build customer offers around solving problems, not just generating income

Building a Customer-Centric Structure

  • Building a customer-centric culture is challenging and should not be underestimated; many companies have struggled to adopt customer-centricity
  • The most common barrier to customer-centricity is not having a customer-centric culture
  • Banks must have a 'code of conduct' based on customer research to realign bank-customer relationships Mandates from regulators say that banks must treat their customers fairly and monitor the banks adhere to these rules
  • Banks must provide understandable terms and conditions for their products and services, free from complex jargons
  • While fairness is important, customers need not be treated equally
  • More valuable customers might seek better service if they feel unappreciated
  • Research helps uncover unmet needs and problems

Code of Conduct

  • Customer-centric banks use their code of conduct to:
    • Empower customer-facing employees
    • Value customers and treat them as individuals
    • Solicit customers' opinions
  • It resolves queries, problems, and complaints quickly at the first point of contact
  • They must handle the issue and offer on-the-spot solutions when possible
  • The delivery Products and services should meet customer expectations, keeping accurate records.
  • Providing clarity on the process necessary to complain and how regulators and ombudsman can help
  • Complaints are viewed as positive feedback for performance improvements

Creating a Sense of Urgency

  • Businesses must respond to how consumers want things done, driven by internet-enabled smartphones
  • Banks should aim to meet needs of customers, not of the bank
  • Some customer service considerations:
    • Reply immediately, within same day and certainly within 48 hours
    • Advise customers of transactions as they occur
    • Provide access to account information and services
    • Reduce customer effort of re-entering information
    • Open/manage service channels around customer needs
  • Banks must understand what causes friction when customers move channels and must rectify through process re-engineering

Acquire, Grow and Retain Customers

  • A customer-centric strategy requires a banks to better attract new customers as well improve their mutual satisfaction
  • Banks must operate around customers, not products and services
  • Six principal activities of retail banks for their customers:
    • Keep their money and data safe
    • Handle payments (incoming and outgoing)
    • Keep track of what they receive and spend
    • Lend money
    • Pay interest on savings
    • Offer other products, such as insurance.
  • Customer-centric banks offer a range of customer propositions designed to solve a problem or help get a job done

What Retail banks must know about their customers

  • A bank must have a deep knowledge of what make each of their customers tick
  • It must have a single view of their bank so the banks can understand the customer's;
    • Demographics
    • Potential needs through their product holdings
    • Current and potential future value to the bank
  • Banks must understand customers' needs, life-cycle events, and problems
    • What is unfulfilled
    • What they are expecting to deal with in future
    • Having a time line means the banks can build a picture of when and where they can help accomplish a customer's goals
  • Customers should have a mutual beneficial and trustworthy relationship with banks
  • A bank needs to construcut accurate predictions of a customers value is important .
  • An interaction with a bank can provide valuable information to the bank. In the past this can be shown to provide;
    • Anti-money laundering checks
    • Credit scores
    • How customers transact with the bank

Customer Interaction

  • Customer interacts with the bank shows their overall attutues
    • Are they who use salary to pay mortgage?
    • Do they use free services such as overseas travel?
    • Do they browse then never buy?
    • Do they open emails?
    • Do they respond to marketing?
    • What channels do they use over others

Customers and Prospects

  • Both customers and prospective customers (prospects) are important to the bank, but to varying degrees
    • Customers already have a product (or products) and have an ongoing relationship with the bank.
    • Prospects do not but if they are in buying process, the bank wil have a relationship with them
  • The bank knows more about a customer than a prospect
  • Banks need constant stream of prospects for business growth, to replace lost customers

Customer Value

  • To determine what course of action for customers and segments, the banks must track customer value
  • Some measures of this include:
    • Historic value
    • Current Value
    • Future value
    • Lifetime value

Segmentation

  • Segmentation has four methods:
    • Demographics by Age, Income, gender and family makeup
    • Psychographic solely based on attitudes and aspirations as well as psychological criteria.
    • Geographic by region state city or neighborhood.
    • Behavioural by content consumed and interaction frequency.
  • The bank determines which segments may not be valuable and decides whether to engage with or close them
  • Senior executives must decide whether to engage with the customer's needs by questioning and developing what they need to do to direct what is valuable
  • value is then realised with the help of techniques such as market opportunity and sales and customer management

Gathering customer feedback

  • Methods used to gather feedback include:
    • Satisfaction surveys - Used to be paper based but now sent online
    • Event-driven surveys - Used to be paper based but now sent online post an interaction with the banks
    • Crowdsourcing through the Internet
    • Online communities
    • Focus groups
    • Customer complaints
  • Customer insight is the realisation of peoples drivers can create actionable change

How can a bank operate a strategy to outcompete its rivals.

  • To perform such a strategy
    • Must come up with a solution that has not been done.
    • Offer something that is not offered or desired to be offered by its rivals.
    • The banks should be what and how banks can use the data for good and what the employees should focus on.
  • Banks should understand their customers by allowing bankers to listen to more than they are to speak, giving understanding to concerns and attitudes.
  • Don't use present solutions, create new ones.

From a customer perspective

  • From the information and from focus groups can provide managers insights on similar themes in order for a deep understanding of their customers
  • The bank must then come up with a solution that's able to solve customers wants while testing them
  • All employees whether front or back faced should see this, especially if they don't interact with the customer face to face in an understandable format.

Technology improving customer understanding

  • A data repository of customer information and transactions used by data analysts to understand customers that include behaviour and value
  • An immature bank will have data warehouses but a mature bank will have a diverse amount of data that allows a bank to be operated in a cloud data center or locally.

How customer data analyst can process information:

  • Customer analytic software helps the process by;
    • Identifying target customers
    • Understand the customers' needs
    • Identify how bank products meet customer criteria
  • CRM is at the core of building customer experience, in addition of this, the building of trust and loyalty and the creation of sustainable value must be factored as well.

CRM system provides a single view of information for all the banks employees and this includes;

  • Profile the details on customers like contact preferences and credit score.
  • Future life-cycle events with how the customer plans to use the bank
  • In progress cross-sell and up-sell opportunity
  • CRM systems are a problem if used for sales management, however, this problems isn't a problem with better adoption practices.

Omnichannel banking

  • Allows access to banking and transactional information without limiting a customer to a channel
  • Banks need to access to who to allocate resources better and understand which segment of customers to engage with grow or deploy.
  • Events are specific individual life-cycle events, such as planning to retire.

Improving Customer Satisfaction Through Personalisation and TimelyOffers

  • Campaigns can be done two major ways with a combination that is best
    • Outbound -Traditional physical mail or text messages.
    • Inbound - Online banners when browsing to show the customer
  • Customer consideration
    • Is the campaign consistent?
    • What the customer is using.
    • What the product is
    • what channel the customer is on

Contact Management

To manage analyse and report after contact:

  • The loop should be closed with every step to provide customers with the best journey while tracking it
  • Learning from every interaction will lead to improved customer experience
  • Banks have a decline of customer loyalty that is eroded by other banks that may compete for their customer
  • Being customer centric leads to defence against other offers and is a good reason to attract prospects to products and services. Customer satisfaction therefore improves trust and loyalty.

Banks Optimise Satisfaction

  • This starts with both what the bank understands and what the customer wants
  • Banks optimise by removing regular interactions and completing a job, ensuring its seamless and adapting with the new journey option
  • Banks undertake a strategy that ensures the customers get the best experience through better interactions, and by taking on board new channels to improve the customer's journey
  • Urgency is demanded through Internet E-commerce and it's having affects on how it works

Through interactions, priorities are in need of automation.

  • Banks that are customer-centric use the channels, interaction and automation
  • One response is the banks will predict the best actions for individuals, which could be as simple a as selling a customer a sale. This can happen thanks to Omnichannel banking

Evolution of Banking

  • In the very start, banks and their customers used to interact through branches which all activity happened. A bank was reliant on profits from the products.
  • As they branched out into banking, internet, and mobile banking they became multichannel, with specialist managers.
  • This process shows a split between the originating banks, as the revenue takes place in other channels Multichannel banking
  • A Non systematic approach to interact with customers but more like having multiple highly integrated customer service
  • Customers are free to chose whether they end up starting back from scratch or moving with the flow What it does?
  • By thinking of how customers journey is, that allows a customer-centric approach.
  • Customers can access banks at any given time, which comes from customers now a day expecting banks to be available at any given moment at any place.

Most Banks are operating on outdated and unstandardised ways

  • Being customer focused may be difficult or impossible if the banks has a business centred organisational model
  • This process shows a split between the originating banks, as the revenue takes place in other channels Multichannel banking
  • A Non systematic approach to interact with customers but more like having multiple highly integrated customer service Customers are free to chose whether they end up starting back from scratch or moving with the flow What it does?
  • By thinking of how customers journey is, that allows a customer-centric approach.
  • Customers can access banks at any given time, which comes from customers now a day expecting banks to be available at any given moment at any place.

Process in many technology components components is:

  • the customer the bank cultures needs to move from a product, sales organisational value to a customer value focus.
  • By looking at measures and metrics, the banks can deploy strategies so that the overall customer journey is as effective as possible

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