You Lead. AI Delivers. Optimove Connect 2027 — London, 10-11 March. Save the date!

Customer Data Platform (CDP)

A CDP is software designed to consolidate and manage customer data from multiple sources, maintaining a single customer view used for marketing objectives.

Read time 7 minutes

LinkedInXFacebook

Better, Smarter, Faster: How AI is Transforming CDPs

What is a Customer Data Platform?

A Customer Data Platform (CDP) is software designed to consolidate and manage customer data from multiple sources, within and without the company. The CDP aggregates all customer data, cleanses it, and unifies it into a single customer view that can be used for marketing purposes and also accessed by other systems.
CDPs allow marketing teams to leverage customer data for objectives including customer segmentation, personalized communications, and analytics aimed at gleaning customer insight, all with minimum involvement from IT.

Do I need a CDP?

If your customer data is spread across tools that don't talk to each other, a CDP is usually the answer. Signs a brand has outgrown its current setup:

  • Siloed data. Customer information sits in separate systems (web, app, email, POS, loyalty) with no single view.
  • Slow audience building. Campaigns wait on engineering or manual exports.
  • Fragmented identity. The same customer appears as different records across channels.
  • Limited personalization. Messaging relies on basic fields, not real-time behavior.
  • Cookie deprecation. You need to lean on first- and zero-party data you own.

You may not need a dedicated CDP if your data already lives in one place and you aren't activating it across channels. But as data and cross-channel activation grow, a CDP becomes the foundation everything else builds on.

How Does a Customer Data Platform Work? 

Most CDPs follow the same four-step process:

  1. Collect customer data from websites, apps, CRM systems, email platforms, loyalty programs, and transactions.
  2. Unify customer records into a single, persistent customer profile.
  3. Analyze and segment audiences based on behavior, preferences, lifecycle stage, and value.
  4. Activate customer data across marketing channels for personalized campaigns.

The result is a complete, consistent view of each customer that any connected system can use, turning scattered data into marketing that's relevant to the individual.

What Problems do Customer Data Platforms Solve?

As customers interact with companies across more channels, through more systems, with more frequency, customer data is rapidly becoming fragmentated. This has fueled a demand for systems that assemble the data from its many sources into a single, complete and consistent customer view, and then share the result with every other system that needs it. This is exactly what CDPs do.

Is Optimove a Customer Data Platform?

Absolutely! Optimove’s platform or Positionless Marketing Platform is a CDP and much more. Beyond providing a Single Customer View and in-depth analytical reports, Optimove leverages AI to actually foster emotionally intelligent relationships that maximize the value of every customer via true 1:1 personalized multi-channel customer communications.

What sets Optimove apart from a data-only CDP:

  • Multichannel Execution - Optimove has native email, web, mobile, and SMS channels and integrations for digital advertising and WhatsApp messaging. This allows your data to have greater value in marketing execution and personalization.
  • AI decisioning and native orchestration. Optimove’s AI works inside via its agentic layer, outside via its MCP, and on top via ai-built custom apps. It’s native AI agents for insights, creation, and decisioning allow you to maximize the value of your unified data and create hyper-personalized customer experiences.
  • Scientific measurement of results. Optimove uses your unified data to create representative control groups for each campaign and journey allowing you to know the incremental impact of each on any business KPI.

Visit the Optimove Product page or request a demo to how you can use Optimove’s Relationship Marketing Hub to drive measurable growth through your existing customers.

How are all CDPs the Same?

While there are many different CDPs on the market, they all have share some key characteristics. According to the CDP Institute, a CDP is a, “marketer-managed system that creates a persistent, unified customer database that is accessible to other systems”. This definition has three primary components:

  • “marketer-managed” means the CDP is packaged software that marketers control via configuration. The primary contrast is with IT-managed systems that are usually custom-built software or, even if they are off-the-shelf packages, are managed by the corporate IT department. In practice, IT is almost always involved in a CDP and should be: they are ultimately responsible for key company data, which certainly includes customer information. Also, in practice, departments outside of marketing often use CDP data, especially for customer-facing activities such as sales and service. Sometimes the CDP might even be managed by one of those other departments. What’s important is that business users are in control.
  • “persistent, unified customer database” – “Persistent” means the CDP creates an actual database of its own, rather than simply accessing information that’s stored in other systems or acting as a hub that transfers data from one system to another without keeping its own copy. “Unified” means the CDP connects all data related to the same customer to present a Single Customer View. “Customer database” indicates the CDP is organized around people, not other objects such as Web pages or products. It also indicates that the CDP stores customer identifiers, such as names, phone numbers, account numbers, and addresses. A CDP might also create profiles of anonymous customers, although there will still be at least an internal ID to track these. “Customer” actually applies to any individual that has interacted with the company, including prospects who have not yet made a purchase. The CDP may store non-customer data, such as product details and marketing materials, but only to help present a complete view of each customer.
  • “accessible to other systems” means the CDP can share its data with any system that is able to accept it. This almost always means there’s an API (application program interface) to extract data directly from the CDP via API calls or database queries. Sometimes the data can only be shared through file exports. All data ingested by the CDP should be available for sharing, although some effort is often needed to place the data in formats that other systems can manage. This may mean that some data in the CDP isn’t available on demand without some additional preparation.

In short, every CDP ingests nearly any type of data from source systems, stores it without losing any detail, converts it into a complete and consistent view of each customer, and makes the result easily available for various purposes.

How do CDPs Differ from One Another?

Despite sharing some common features, CDPs vary quite widely. From a user’s perspective, the most significant differences relate to product scope. In very broad terms, CDPs can be grouped into three categories:

  • Data only – All CDPs build and share a unified customer database.
  • Data and analytics – These CDPs build the database and provide integrated analytics, such as segmentation and predictive modeling.
  • Data, analytics and engagement – These build the database, provide analytics, and select personalized communications for individual customers. They then send the list of customers and associated messages to a delivery system, such as an email engine, mobile app, or Web content manager, to be delivered.

Some CDPs move past engagement to include their own delivery systems, most often for email. Many marketers find this appealing since it reduces the number of systems they need to integrate. Systems that do this are still considered CDPs so long as users have the option to use external delivery systems as well. The distinction is important because one the primary reasons for buying a CDP is to let marketers use the delivery systems of their choice.

CDP.png

CDP vs CRM: What's the Difference? 

CDPs, CRMs, and DMPs all manage customer-related data, but they serve different purposes and different teams.

 Primary useCommon users
CDPUnifies customer data from all sources into a persistent, single customer view for analytics and cross-channel marketingMarketing, analytics, and data teams
CRMManages direct interactions and relationships with known customers and prospects, often centered on sales and serviceSales, service, and marketing teams
DMPAggregates largely anonymous audience data, traditionally cookie-based, to support advertising and media targetingAdvertising and media teams

The simplest distinction: a CRM records your direct relationships with known customers, a DMP groups anonymous audiences for advertising, and a CDP unifies all of it, known and anonymous, online and offline, into a single customer view that the rest of your stack can use.

Every channel. Every customer. No handoffs.

Launch and optimize multichannel campaigns at the speed of Positionless Marketing

Frequently Asked Questions

What is CDP software used for? 

open

CDP software is used to consolidate customer data from every source into a single, unified customer view and to make that view available for segmentation, analytics, and personalized cross-channel marketing, all managed by marketers, with minimal reliance on IT. 

Who uses a customer data platform?

open

Marketing teams are the primary users, since a CDP is built to be marketer-managed. In practice, analytics and data teams rely on it too, and customer-facing functions like sales and service often draw on the same unified data to inform their work.

What makes Optimove different from a traditional CDP?

open

A traditional CDP focuses on unifying and storing customer data. Optimove's platform or Positonless Marketing Platform  adds predictive analytics, AI decisioning, and native multichannel orchestration on top of the single customer view, so the same platform that unifies your data also acts on it, delivering personalized communications across channels at scale.

What is an AI-enabled CDP?

open

An AI-enabled CDP is a Customer Data Platform that applies artificial intelligence across the full marketing workflow, not just to store and unify customer data, but to help decide what to do with it, activate campaigns, and measure results. Rather than treating the CDP as general data infrastructure, an AI-enabled CDP is built for the day-to-day realities of consumer marketing: managing customer data, acting on it, and optimizing outcomes. 

Optimove is an AI-enabled CDP by design. It unifies customer data into a single customer view, then uses AI to turn that data into personalized, multichannel campaigns and measurable results.

How does Optimove access my customer data?

open

Optimove can access databases containing customer data using a number of methods:

  1. Creating a database-to-database connection. With this method, Optimove will connect directly to the raw data and import it to Optimove’s database for transformation.
  2. If your data is on Snowflake, you can share selected objects in the database in your account with Optimove’s Snowflake accounts. Using Snowflake’s data sharing, a replica of your database will be exposed to Optimove and there will be no need for an ETL process to be created in this case.
  3. Connecting to the client’s Web Services API and using the API’s standard methods to extract the required data.
  4. If the above methods are unavailable, Optimove can receive exported data files (e.g., CSV, database dumps). The files can be made available for download on the client’s SFTP server, or they can be uploaded to an SFTP server provided by Optimove.
Learn more, be more with Optimove
Check out our resources
Discover
Join the Positionless Marketing movement
Join the marketers who are leaving the limitations of fixed roles behind to boost their campaign efficiency by 88%