Clarifying the CX Alphabet Soup: CRM and CDP

Organizations of all types are increasingly investing in software tools used to manage the overall CX. Two of the key software technologies in use today have similar abbreviations, but actually serve distinct purposes, and in many organizations, complement each other to a large degree.

Customer relationship management (CRM) systems and customer data platforms (CDPs) are software systems that collect and manage information about customers. The primary difference between the two types of software is that CRM systems are designed to organize and manage customer interactions, while CDPs are designed to capture and collect data on customer behavior with a specific product or service.

CRM data generally will provide a customer’s name, the history of their interactions with sales, support teams, and any support tickets they may have logged with the company. Meanwhile, a CDP will track each specific step a customer has taken in their journey with the company, from the initial channel and touchpoint through any additional interactions they have had via any channel.

The key difference is that CRM systems are generally designed to help salespeople and support teams quickly locate and view each interaction the customer has had with the company, whereas CDPs are designed to help companies enhance strategies to understand how customers have been interacting with the brand, from marketing, through sales, and post-sale, all in one place. Marketers can use this data to tailor the most effective campaigns for reaching and engaging with customers, whereas engineers can assess how customers are interacting with the product or service, and then add, enhance, or delete features based on this data. Another key difference between CRMs and CDPs is how data is gathered. CRMs usually rely on manual data capture, often from notes entered by sales or support representatives, whereas data collected within CDPs is usually automatically gathered using integrations and code snippets. Customer data captured in CDPs is often generated through mobile devices, laptops, the web, or mobile apps, and then combined with customer data to help companies understand who the user is, whether they have interacted with the company before, what actions they took, and why they took them.


For most companies, it is likely that both a CRM system and a CDP will be required in order to provide the necessary visibility for salespeople, customer service personnel, product managers or engineers, and corporate strategists or C-level executives. The reason is that software with just CRM or just CDP functionality will not provide a 360° view of the customer and all their interactions with the company.

CRM systems are best for placing a laser focus on personal interactions with customers, and include historical data on those relationships, with the goal of informing future interactions. CDPs, on the other hand, are designed to consolidate and manage all customer data across all touchpoints to provide a unified view of the customer and their entire journey.

Most organizations will find value in deploying both types of software, though it is likely that organizations have more experience with CRM systems, because they have a long history as a primary sales tool. A wide variety of CDPs and CRM systems are available from vendors, and it is imperative that organizations ensure that data can be fed efficiently and easily from the CRM system to the CDP. Key must-haves from a CDP include:

  • The ability to ingest data from any source
  • The ability to capture full details of ingested data
  • The ability to store ingested data indefinitely (subject to privacy constraints)
  • The ability to create unified profiles of identified individuals
  • The ability to share data with any system that needs it

Ultimately, most organizations are likely to use CRM systems as an input and output channel to a CDP, while a CDP is likely to be used to provide and support a more consistent and holistic dataset within the CRM system.

Author Information

Keith has over 25 years of experience in research, marketing, and consulting-based fields.

He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.

In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek,, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.

He is a member of the Association of Independent Information Professionals (AIIP).

Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.


Latest Insights:

The Six Five team discusses Oracle Q4FY24 earnings.
The Six Five team discusses enterprise SaaS reset or pause
The Six Five team discusses Six Five Summit 2024 wrap.

Latest Research:

In our latest Research Brief, Fortifying Operational Technology (OT) Systems Against Cyberattacks–done in partnership with Honeywell– we examine the benefits of a comprehensive strategy for protecting OT assets against cyberattacks requiring asset discovery, ongoing risk assessment, and compliance management.
The Futurum Group’s Research Brief, Unlocking AI Potential: How HPE Private Cloud AI Accelerates AI Deployment and Innovation, completed in partnership with HPE and NVIDIA, delves into the complexities of AI deployment and the solutions offered by HPE's Private Cloud AI.
In our latest research brief, Intel AI Everywhere: Ready to Transform the AI Ecosystem, we analyze why Intel is perfectly suited to pace the AI Everywhere proposition. We look at why Intel is fundamentally committed to the core proposition of bringing AI everywhere, through key offerings such as Intel Xeon processors, Gaudi accelerators, and Intel Core Ultra Processors, which are aimed at ushering in the age of AI PC and securely distributing AI workloads in data center, cloud, and edge environments.