Why You Need a CDP If You Already Have a CRM

In business, a CRM system is the standard environment for sales teams and account managers. When a CRM is already set up and consistently used in daily operations, the idea of implementing a CDP naturally raises questions: if there is already a customer list and interactions happen through a familiar interface, why add another platform?

To answer this, it’s worth looking at how the two systems differ and how a CDP expands the capabilities of a CRM.

Why CRM and CDP are not the same

Both CRM and CDP offer customer data storage, segmentation, reporting, and communication planning. The difference becomes clear when you look closer at their purpose and how they handle data.

CRM core functions

A CRM system is built around the sales funnel and the processes connected to it. In a typical setup, the logic revolves around customer records and deal data. The platform helps manage tasks, tracks team activity, and answers questions such as:

• which leads are currently in progress;
  
  
• what stage a deal is at;
  
  
• who is responsible for a specific customer;
  
  
• what actions have been completed and what is planned next.

Fields reflect the current state of the deal within the funnel and the parameters of interaction with the customer: stage, source, status, assigned manager, and next step date. Interaction history is often stored as notes, comments, and logs of calls and emails.

For sales and customer service teams, a CRM provides control over stages, visibility into workload, and documentation of agreements. This information is used for reporting, revenue forecasting, and analyzing conversion across stages.

CDP core functions

A CDP platform addresses a different layer of tasks. At its core is the customer and their behavior across various brand touchpoints.

The system collects, unifies, and stores customer data from multiple sources, linking it to a specific individual. Website visits and navigation, banner and button clicks, responses to communications, and other actions are recorded as events with timestamps and relevant attributes.

This makes it possible to analyze not only the final result (for example, a purchase) but also the path leading to it: which channels the customer used, how often they returned, and what actions they took before conversion.

In short:

• CRM supports sales funnel management, workload distribution, and revenue forecasting. It reflects the current state of sales and maintains operational discipline.
  
  
• CDP focuses on managing marketing communications and audiences based on customer behavior and actions: product interest, repeat visits, responses to previous touchpoints, and inactivity.

When to implement a CDP

In which cases does a CDP make the most sense? When information about the current deal status is not enough, and marketing requires more detailed customer data that updates continuously throughout the interaction with the brand.

A CDP is relevant when:

• Data is spread across multiple channels and systems (website, app, email and SMS platforms, CRM), and a unified history with a sequence of touchpoints is needed.
  
  
• Marketing communications rely on behavior rather than statuses like “lead” or “customer,” which do not reflect current interest. Actions, responses, and behavioral signals matter more.
  
  
• Marketing automation and dynamic segmentation are required, so audience data updates based on recent events and messages go to the most relevant and engaged customers.
  
  

At the same time, a CDP may be unnecessary if:

• only one channel is used and campaigns are not tied to customer behavior;
  
  
• there is no need to collect behavioral data from a website or app and combine it with other sources;
  
  
• the business model relies mainly on manager-driven processes, while marketing is limited to basic segmentation.

How Altcraft CDP complements CRM capabilities

As the number of channels, campaigns, and touchpoints grows, the volume of user data inevitably increases. Over time, this data no longer fits within the standard logic of funnels and customer records — it requires a different level of management.

Data collection, processing, and storage

After integrations are set up, the Altcraft platform can receive data from multiple customer touchpoints, including:

• website and mobile app;
  
  
• email and messenger campaigns;
  
  
• advertising platforms;
  
  
• CRM systems;
  
  
• databases, and more.

Customer profiles are enriched with data that reflects their activity. This includes subscriptions to channels and resources, page views, email opens, link clicks, form submissions, and much more.

The event-based model behind customer profiles preserves behavioral context and forms the foundation for analytics and automation. For example, before registration or the first purchase, a user may have:

• returned to the website several times;
  
  
• subscribed to campaigns and opened emails;
  
  
• contacted support via a messenger.

The platform makes it possible to track how customer activity changes over time, which channels drive stronger engagement, where barriers appear, and at which stages the process stops. This detailed data forms the basis for a comprehensive customer profile and supports communication tailored to different stages of the customer journey — from the first interaction to repeat visits and reactivation.

Customer segmentation

At first glance, segments can be created both in CRM systems and email tools. However, a CDP platform offers deeper capabilities for working with user groups.

In a CRM, segmentation is usually based on a limited set of fields such as customer status, deal stage, or last purchase date. Keeping segments up to date often requires manual effort and depends heavily on team discipline.

• Core customer data: demographics, geolocation, contact details, and custom fields for specific attributes (for example, participation status in a loyalty program).
  
  
• Event history: overall behavior, goal completions, interactions with messages (email, push, SMS, messengers), and participation in scenarios.
  
  
• Purchases and orders: for example, number of transactions or total order value.

Segments in Altcraft can be set to update automatically as new events are added to a profile. This means a customer enters a segment when specific conditions are met and leaves it when those conditions no longer apply. This reduces the need for постоянных manual updates.

Communication automation

Based on profile and segment data, Altcraft enables personalized communication with customers. Marketing, informational, and triggered campaigns can be sent based on events, user actions, or segment conditions.

• entry conditions for profiles;
  
  
• step sequences;
  
  
• channels and messages used;
  
  
• behavior checks;
  
  
• time intervals between steps and other parameters.

For example, a scenario can start after registration, a purchase, an email open, or, наоборот, when there is no activity for a defined period.

Scenarios support both standalone and omnichannel communication. For instance, if a customer does not open an email, the next step can send a push notification or SMS. Conditions are also checked at the profile level, which reduces the risk of duplicate messages and inconsistent touchpoints across channels.

How difficult it is to implement a CDP

Because of the wide range of tasks a CDP can handle, it is often seen as complex infrastructure with a long implementation cycle and the need for a large development team. In practice, this is not always the case — complexity depends mainly on the scale and depth of processes.

• first, connect priority data sources and communication channels, and set up core scenarios;
  
  
• then gradually add new integrations, expand segmentation logic, and configure additional scenarios and reports.

The pace and depth of changes depend on current business needs and the strategy for working with customer data. New stages can build on existing processes without the need to rebuild the entire system from scratch.

Conclusion

The question of implementing a CDP usually arises as a business grows and marketing becomes more complex. The number of channels increases, data flows accelerate, and competition for customer attention intensifies, requiring the infrastructure to evolve as well. Together, CDP and CRM form a unified architecture where each platform handles its own set of tasks.