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Lesson 10 Relationship management stage
Objective Describe the relationship management stage.

Relationship Management Stage known as CRM

In the old world prior to the advent of ecommerce, product brand was the primary means of exchanging key product information. In the new "online" world, the information is far more complex, sometimes created by the end users in community settings such as threaded discussion groups, and other times viewed as peer purchasing data. In the past, the product was king. The primary influence of the purchasing decision was the product itself. In an e-enabled world, the information content and the relationship around the product carries a far more significant influence in the buying decision. If the relationship is the primary influence of the buying decision, we should be able to answer the question, "What is a relationship?" Having a relationship means that you can answer the following four questions: In an e-enabled world, the information content and the relationship with the product influences the buying decision more significantly than ever before.
The "relationship management stage" in e-business, often referred to as Customer Relationship Management (CRM), focuses on managing a company's interactions with current and potential customers. It involves strategies, processes, and tools used to gather, analyze, and leverage customer data to improve customer satisfaction, loyalty, and profitability. The key objectives of CRM in e-business are to enhance customer experiences, foster long-term relationships, and increase customer retention. Here are the main elements of the relationship management stage in e-business:
  • Customer Data Collection
    • Purpose: Collect data on customer interactions, preferences, behaviors, and transactions through various touchpoints (website visits, purchases, customer service interactions, etc.).
    • Tools: CRMs like Salesforce, HubSpot, or Zoho help gather, store, and organize customer information.
  • Customer Segmentation
    • Purpose: Use the data collected to segment customers based on different criteria (such as demographics, buying behavior, or customer value).
    • Benefit: Segmentation allows businesses to tailor marketing, sales, and service efforts to meet the specific needs of different customer groups.
  • Personalization
    • Purpose: Use insights from customer data to offer personalized recommendations, targeted offers, and tailored content.
    • Example: Sending personalized email campaigns or recommending products based on past purchases.
  • Customer Interaction Management
    • Purpose: Ensure smooth and meaningful interactions with customers across various channels (email, social media, chat, phone, etc.).
    • Omnichannel Approach: Integrate communication channels to provide a consistent experience, ensuring that the customer can move seamlessly between platforms while receiving the same quality of service.
  • Customer Support and Service
    • Purpose: Provide ongoing support through efficient customer service mechanisms, including help desks, live chats, FAQs, and self-service portals.
    • Benefit: Proactive and responsive customer service increases satisfaction and loyalty, addressing issues quickly and effectively.
  • Customer Feedback and Insights
    • Purpose: Collect and analyze customer feedback to gain insights into customer satisfaction, product quality, and areas for improvement.
    • Feedback Mechanisms: Surveys, reviews, and direct customer communication help businesses understand customer needs and expectations better.
  • Customer Retention and Loyalty
    • Purpose: Implement strategies to retain existing customers, reduce churn, and improve loyalty through rewards programs, discounts, and personalized experiences.
    • Benefit: Retaining customers is often more cost-effective than acquiring new ones, making this a crucial part of CRM.
  • Analytics and Reporting
    • Purpose: Analyze customer data to gain actionable insights, track key performance indicators (KPIs), and measure the success of CRM strategies.
    • Metrics: Track metrics like customer lifetime value (CLV), customer satisfaction scores (CSAT), and net promoter scores (NPS) to gauge the effectiveness of CRM efforts.
  • Automation and AI Integration
    • Purpose: Use automation tools to streamline repetitive tasks, such as email campaigns or customer support ticketing, and AI for predictive analytics and personalization.
    • Benefit: Automation and AI help scale CRM efforts, enhance efficiency, and improve the overall customer experience.

In summary, the relationship management stage in e-business emphasizes understanding customer needs, optimizing interactions, and fostering long-term loyalty through data-driven approaches. Effective CRM strategies are vital for maintaining competitiveness in the digital marketplace.

Definition of Relationship Management

A strategy employed by an organization in which a continuous level of engagement is maintained between the organization and its audience. Relationship management can be between a business and its customers (customer relationship management) and between a business and other businesses (business relationship management). Relationship management is a focus of the financial and investing industries as a way to identify potential cross-sales of products and services.
In addition, relationship management aims to create a partnership between the organization and its audience rather than consider the relationship merely transactional. Consumers who feel that a business responds to their needs are more likely to continue using the products and services that a business offers. Additionally, maintaining a level of communication with consumers allows the business to identify potential sources of costly problems before they come to a head.

Competitive Landscape

Do not underestimate the Baby Boomers

Compared to the digital-first Millennial generation, it is reasonable to presume that Baby Boomers (born between 1946 and 1965) are less inclined to shop online. However, the Baby Boomers surveyed in fact shopped online just as frequently as the Millennials. Furthermore, the Baby Boomers on average spent more per transaction than either of the two other younger generation groups This generation was more likely to buy healthcare products, wine, household goods and appliances, categories which tend to have higher price points

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