The only value a company will ever create for its shareholders and owners is the value that comes from its customers ? current ones and new ones acquired in the future. To remain competitive, companies must determine how to retain customers longer, grow them into bigger customers, make them more profitable, serve them more efficiently, and target acquiring more profitable customers.
Customers increasingly view suppliers' products and standard service lines as commodities. This means that suppliers must shift their actions toward differentiating their services, offers, discounts, and deals to different types of existing customers to retain and grow them. Further, they should concentrate their marketing and sales efforts on acquiring new customers who have traits comparable to those of their relatively more profitable customers.
As a result of this shift from being product-centric to customer centric there needs to be an increased emphasis on measuring current and future potential profitability of products, standard service-lines, channels, and customers. (For business to consumer (B2C) industries, there is need to also consider applying of "customer lifetime value (CLV)" metrics.)
A mind-shift is needed from pursuing increased sales volume at any cost ? to profitable sales volume. Cost accounting leveraging business analytics is essential to achieve this result. Organizations realize it is substantially more expensive to acquire new customers than to retain existing ones. This focus on customer retention combined with the recognition that spray-and-pray mass marketing of products and service-lines is being eclipsed by direct one-to-one to marketing with customers and prospects is causing the need for the marketing function to require financial data on customer profits and future value. Why? Because given any company's scarce resources, it should attract its relatively more profitable customers rather than high maintenance ones whose substantial cost-to-serve erodes profit margins.
Which types of customers are worth more to retain, grow, acquire, or win-back? And types are not worth pursuing? And how much should you optimally spend on each type of customer micro-segment?
The Internet is irreversibly shifting power from sellers to buyers. Suppliers must react. Earning, not just buying, customer loyalty is now mandatory. A popular term in CRM circles is customer lifetime value (CLV) ? measuring each customer as if they are an investment with an ROI. Is this another fad or a real need?
This presentation is ideal for managers aiming to integrate profitability metrics into decision support systems. It addresses the challenges of traditional accounting methods and emphasizes the need for a shift towards predictive analytics.
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Executive Summary
This presentation titled "Measuring and Managing Customer Profitability" is crafted by Gary Cokins, a recognized expert in analytics-based performance management. It provides a comprehensive framework for measuring and managing customer profitability through advanced techniques such as activity-based costing (ABC) and predictive analytics. Executives and managers will gain insights into optimizing customer lifetime value (CLV), identifying profitable customer segments, and overcoming barriers to effective profitability analysis. This deck serves as a vital resource for organizations aiming to enhance their decision-making processes and drive sustainable growth.
Who This Is For and When to Use
• Financial executives focused on profitability analysis and decision support
• Managers responsible for customer relationship management and profitability
• Analysts engaged in performance measurement and reporting
• Consultants advising organizations on cost management and profitability strategies
Best-fit moments to use this deck:
• During strategic planning sessions to align profitability goals
• In workshops aimed at implementing activity-based costing methodologies
• When addressing challenges in customer profitability reporting and analysis
Learning Objectives
• Define customer profitability and its significance in strategic decision-making
• Build a framework for measuring customer lifetime value (CLV)
• Establish methods for calculating channel and customer profitability
• Identify barriers to the adoption of profitability analysis techniques
• Apply predictive analytics to enhance profitability insights
• Develop strategies to manage costs-to-serve for improved customer profitability
Table of Contents
• Introduction to Customer Profitability (page 3)
• Activity-Based Costing Fundamentals (page 6)
• Implementing ABC Rapid Prototyping (page 23)
• Calculating Customer Profitability (page 26)
• Applying Predictive Analytics (page 46)
• Barriers to Adoption of Profitability Analysis (page 63)
Primary Topics Covered
• Customer Profitability Definition - Understanding the importance of measuring customer profitability for informed decision-making.
• Activity-Based Costing (ABC) - A detailed explanation of ABC and its role in accurately attributing costs to customer activities.
• Rapid Prototyping for ABC - Techniques for implementing ABC through iterative modeling to enhance accuracy and relevance.
• Calculating Customer Profitability - Methods for assessing profitability at the customer level, including cost-to-serve analysis.
• Predictive Analytics Application - Utilizing predictive analytics to forecast customer behavior and profitability trends.
• Overcoming Adoption Barriers - Identifying and addressing technical, perception, and organizational barriers to effective profitability analysis.
Deliverables, Templates, and Tools
• Activity-Based Costing models for profitability analysis
• Customer profitability calculation templates
• Predictive analytics frameworks for customer behavior forecasting
• Rapid prototyping guides for implementing ABC systems
• Barriers assessment tools for evaluating organizational readiness
Slide Highlights
• Overview of the 6 eras of managerial accounting, illustrating the evolution towards predictive analytics.
• Visual representation of the ABC cost assignment network, detailing resource allocation to customer activities.
• Case studies demonstrating the impact of accurate customer profitability measurement on strategic decisions.
• Charts illustrating the relationship between customer sales volume and profitability, highlighting key insights.
• Frameworks for managing costs-to-serve and enhancing customer profitability through targeted strategies.
Potential Workshop Agenda
Introduction to Customer Profitability (30 minutes)
• Define customer profitability and its relevance
• Discuss the importance of measuring CLV
Activity-Based Costing Overview (60 minutes)
• Explain ABC fundamentals and its application
• Engage in group exercises to calculate customer profitability
Implementing Predictive Analytics (45 minutes)
• Introduce predictive analytics concepts
• Discuss case studies and practical applications
Overcoming Barriers to Adoption (30 minutes)
• Identify common barriers organizations face
• Develop action plans for addressing these challenges
Customization Guidance
• Tailor the ABC models to reflect specific organizational structures and cost drivers.
• Adjust the customer profitability calculation templates to align with industry-specific metrics.
• Incorporate company-specific terminology and metrics into the presentation for clarity.
Secondary Topics Covered
• Historical versus predictive costing methodologies
• The role of customer segmentation in profitability analysis
• Strategies for improving customer retention and loyalty
• The impact of external factors on customer profitability
FAQ
What is customer profitability?
Customer profitability refers to the measurement of the profit generated from a customer after accounting for all associated costs.
How does activity-based costing improve profitability analysis?
ABC provides a more accurate method for allocating costs to specific customer activities, leading to better insights into profitability.
What are the key barriers to adopting profitability analysis?
Common barriers include technical challenges, organizational resistance to change, and perceptions of complexity.
How can predictive analytics enhance customer profitability insights?
Predictive analytics allows organizations to forecast customer behavior and profitability trends, enabling proactive decision-making.
What is the significance of customer lifetime value (CLV)?
CLV is a crucial metric that helps organizations understand the long-term value of a customer, guiding investment in customer acquisition and retention strategies.
How can organizations manage costs-to-serve effectively?
By analyzing customer interactions and identifying high-cost activities, organizations can streamline processes and improve profitability.
What role does customer segmentation play in profitability analysis?
Customer segmentation helps identify profitable customer groups, allowing for targeted marketing and service strategies.
How can organizations get started with activity-based costing?
Organizations should begin with rapid prototyping of ABC models, gradually refining them based on insights and feedback.
Glossary
• Customer Profitability - The profit generated from a customer after accounting for all associated costs.
• Activity-Based Costing (ABC) - A costing method that assigns costs to activities based on their use of resources.
• Customer Lifetime Value (CLV) - The total revenue a business can expect from a single customer account throughout the business relationship.
• Predictive Analytics - Techniques that analyze current and historical data to make predictions about future events.
• Cost-to-Serve - The total cost incurred by a company to serve a customer, including production, distribution, and service costs.
• Segmentation - The process of dividing customers into groups based on shared characteristics for targeted marketing.
• Rapid Prototyping - An iterative approach to developing models that allows for quick adjustments based on feedback.
• Barriers to Adoption - Challenges that organizations face when implementing new methodologies or technologies.
• Decision Support Systems - Information systems that support business or organizational decision-making activities.
• Managerial Accounting - The practice of analyzing and reporting financial and non-financial information to help managers make decisions.
• Performance Management - The process of ensuring that a set of activities and outputs meets an organization's goals in an effective and efficient manner.
• Cost Drivers - Factors that cause changes in the cost of an activity.
• Profitability Analysis - The process of determining the profitability of various segments of a business.
• Customer Relationship Management (CRM) - Strategies and technologies used by companies to manage and analyze customer interactions and data.
• Operational Efficiency - The ability to deliver products or services in the most cost-effective manner without compromising quality.
• Financial Reporting - The process of producing statements that disclose an organization's financial status to management, investors, and the government.
• Strategic Planning - The process of defining a business's direction and making decisions on allocating resources to pursue this direction.
• Value Proposition - The promise of value to be delivered to the customer, explaining how a product or service meets their needs.
• Return on Investment (ROI) - A measure used to evaluate the efficiency of an investment or compare the efficiency of several investments.
• Stakeholder - Any individual or group that has an interest in the success of an organization.
Source: Best Practices in Customer Profitability PowerPoint Slides: Measuring and Managing Customer Profitability PowerPoint (PPT) Presentation Slide Deck, Gary Cokins
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