Customer Value Management (CVM): How Technology is Transforming Loyalty

One of the key trends in modern marketing is the focus on omnichannel strategies and personalization. To enhance loyalty and retain customers, businesses are increasingly prioritizing their needs, offering targeted solutions. Communication is becoming more structured, with a growing reliance on data analytics.
Strategies aimed solely at constantly acquiring new customers are being replaced by CVM marketing—an approach focused on increasing the value of each individual customer. This strategy often proves more profitable than managing a customer database without detailed segmentation and personalization.
In this article, we will explore what customer value management is, how this strategy is implemented in the digital era, and why effective CVM requires the use of management systems.
CVM: what it is and how it is applied in marketing
CVM is a marketing concept focused on increasing the long-term value of each customer. It involves segmenting the customer base according to their value to the business. Communication is structured to enhance the value of each segment and improve customer relationships.
The CVM (Customer Value Management) approach has been known since the second half of the 20th century but has gained popularity only recently. In the digital era, new communication channels have emerged, and the volume of customer data has increased. Marketing campaign costs across various channels have risen, and in this context, CVM marketing helps businesses find effective and cost-efficient ways to engage their audience.
Advantages of CVM for modern marketing:
Metrics for CVM
To enhance customer value, it is essential to track metrics that reflect loyalty levels and generated revenue. Therefore, the following metrics are used in CVM marketing:
How technology is changing the approach to CVM
The first step toward the evolution of CVM was the introduction of CRM systems in the late 1980s and early 1990s. At that time, companies began consolidating customer data into a single system. With the advancement of technology in the 2000s, it became possible to track the entire customer journey and even predict their actions. Businesses came to understand that retaining existing customers is often more cost-effective than acquiring new ones. As a result, today’s forward-thinking companies focus on enhancing loyalty and deepening personalization.
Technological advancements are transforming the CVM approach. The volume of customer data, expectations for service quality, and the speed of interactions are all increasing. As a result, marketing is evolving alongside new IT tools.
Technologies used in CVM
How to implement CVM in your marketing
The CVM approach is not feasible for all businesses, as its implementation requires a customer base of at least ten thousand users. A company must leverage various marketing channels (not necessarily all), such as push notifications, email campaigns, SMS, and messengers.
CVM also demands resources: a team of marketers, analysts, data experts, and IT tools, which are essential for collecting and processing large volumes of data.
What is needed to implement CVM
- Set a goal. Define the key metrics and outcomes your company aims to achieve with CVM.
- Collect customer data and segment it. Analyze the value of customers to the business by calculating the key metrics used in CVM.
- Develop a plan to increase customer value through available channels and tools. Use personalization, campaigns, and other forms of interaction.
- Execute campaigns. Utilize marketing management software, such as CRM, CDP, email campaign services, and more.
- Analyze results to adjust the strategy or improve future campaigns.
CRM or CDP for implementing CVM
While the CVM approach traditionally relied on CRM systems, more functional alternatives have emerged today in response to market demands. It is crucial for a marketing system to collect and process information, as customer value management is data-driven.
CRM (Customer Relationship Management) | CDP (Customer Data Platform) — Software that collects, analyzes and manages customer data. | |
---|---|---|
Data | Collects information about all points of interaction with customers within the sales funnel, including calls, correspondence with managers and mailings. | Accumulates user data from all possible sources, combining them into a single profile for further analysis and use. |
Customer journey | Partially defined: only from the moment of interaction with the company. | Full, because actions are tracked even before communication with the business: on the website, in the app, and so on. |
Loyalty | Applicable to improving customer experience because all stages of the sales funnel and interactions within it are tracked. | Customer behavior is explored based on extensive data, which improves communication and increases the accuracy of personalized offers. |
Omnichannel | + | + |
Analytics | Based on historical data. | Can process data in real time. |
In the context of CVM, the choice between using CRM and CDP depends on the scale of the business and its specific needs. Additionally, these systems can be integrated, providing the opportunity to gain a more comprehensive view of customer data.
Advantages of using Altcraft CDP for implementing a CVM strategy
The platform not only handles the collection, processing, and storage of data from various sources but also includes tools for customer communication. Information is consolidated into a unified profile, which serves as the basis for creating personalized offers.
It also supports the principle of micro-segmentation, which is essential for managing customer value. Customer groups can be divided based on demographic characteristics, geodata, actions across different channels, purchase categories, and other parameters.
Omnichannel marketing is implemented on the platform, allowing messages to be sent via email, SMS, Push, and messengers from a single interface. Real-time analytics provide instant access to data.
Summary
CVM is a marketing strategy focused on increasing the value of each customer throughout the entire interaction period. This approach optimizes marketing budgets, saves resources, enhances user loyalty, and boosts company revenue.
Modern technologies such as Big Data, AI, machine learning, marketing automation systems, trigger mailings, and chatbots are used to manage customer value. These IT tools help process large volumes of data, personalize offers, and speed up communication.
The CVM approach requires management systems that enable the collection and processing of customer data. In this process, CRM and CDP systems play a key role and can be used either independently or in integration.
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