Why customer data platforms (CDPs) matter more than ever in the age of AI

A customer data platform (or CDP) is technology that allows businesses to pull in customer data from any channel, system, or data stream to build a unified customer profile. By bringing all of your data together, CDPs make it easier to segment audiences, personalise engagement, and understand how customers interact with your brand across the journey.

The strongest CDPs will also help you act on that data in real time. This is a huge benefit as we enter the era of agentic AI. AI agents can help your teams make smarter decisions, scale personalisation efforts, and move faster in response to customer needs, but they need connected customer context to do their best work.

This is where businesses often run into obstacles. According to our 10th State of Marketing Report , 75% of marketing organisations now use at least one form of AI. Despite that, nearly half (46%) say they lack data on customer preferences, and 98% report at least one barrier to AI personalisation, most of which are tied to data availability and quality.

CDPs help to close the gap between customer expectations and the unified context needed to meet them. In this guide, we’ll explore how customer data platforms can bring customer context together. We’ll also discuss how CDPs like Data 360 elevate your unified customer profiles to power real-time customer experiences with agentic AI.

• A CDP isn’t just a place to store customer records anymore. The value today is turning scattered data into context that your teams can act on in the moment.
• The strongest CDPs give marketing, sales, service, and commerce teams a shared view of every customer.
• AI has raised the bar for personalisation, but it’s also increased the need to keep data connected. Smart agents need smart context to work from.
• The gap isn’t just unifying data. It’s connecting it fast enough to power journeys and interactions in real time.
• The next generation of CDPs is agentic. This is when data stops sitting in a profile and starts helping humans, and when AI agents meet customer needs together.

• How a customer data platform works behind the scenes
• How did we get here? A brief history of the CDP
• The 5 core benefits of customer data platforms
• What problems can customer data platforms (CDPs) solve?
• CDP vs. CRM: What’s the difference?
• CDP vs. DMP: What’s the difference?
• How do you choose the best CDP?
• How PepsiCo turns better data into smarter marketing
• The next generation of CDPs is agentic
• Ready to see how a CDP can elevate your workflows?
• FAQs

It’s fair to say that business data is getting harder to manage. Marketing organisations now work across at least seven data sources , and only 60% have complete access to sales data. The number of marketers with full access to service data is 59%, and 55% say they have full access to commerce data.

Customer data platforms solve this problem with a four-stage approach: collecting data, harmonising data, activating data, and then turning that data into live insights.

Your CDP pulls in customer information from the systems your teams already use, like your website, mobile apps, email platform, CRM, marketing platforms, service software, and ecommerce engines. Then, it stitches all of this historical data together to build a more complete view of who your customers are and how they’ve interacted with your business.

This starts the process of building a centralised hub for all of your customer data, meaning reps and AI agents can find the context they need in one place.

After your CDP has gathered that data and created customer identities, it will then refine those identities by enriching them with additional context. This is known as “identity resolution”.

In practice, this means linking the details you already know about a customer (like email addresses and phone numbers) with anonymous data they may have shared before they became customers (such as anonymous cookies and mobile device IDs).

The goal here is to help you see more of the customer journey in one place. For example, you might see that someone first engaged with an email campaign, then visited your website, then downloaded a guide or made a purchase, which can help you build a personalised nurture journey.

Now that the connected customer profiles are in place, the next task is to activate that data. The CDP will bring key context to the tools your teams already use, like your marketing personalisation software, email platforms, or content management systems.

The goal here is to turn unified customer context from a database that teams have to go searching through into a live source of intelligence that can shape campaigns and journeys in real time. AI agents can support this process by analysing data in real time and delivering the most relevant insights to marketing, sales, and service reps based on their current goal.

Once your data is connected and activated, your CDP can also help you uncover patterns in customer behaviour and audience segments.

This gives your teams a clearer view of what’s working and where to improve, supporting everything from data segmentation to real-time personalisation. It also gives AI agents the signals they need to power agentic experiences through your entire organisation.

Before customer data platforms, businesses often managed customer data through separate systems. CRMs held one view, marketing tools another, sales another, and so on. But these systems rarely connected cleanly. Teams had data but lacked a reliable way to unify it and use it for smarter customer journey orchestration.

CDPs emerged to solve that issue. Providing a single source of truth for customer profiles, these platforms allowed marketers to glean greater insights about their customers, segment their audiences more easily, and personalise journeys with more context behind decisions.

But customer needs don’t stand still. Eighty-five per cent of marketers say customer expectations are higher than ever, and 83% say customers increasingly expect two-way conversations. Traditional CDPs helped unify data, but they weren’t built to keep up with the live signals required to deliver this form of marketing at scale.

This is where the next era of CDP comes in. With modern platforms, teams can now create connected customer profiles and activate them in real time, where they already work, like CRM dashboards and email platforms. This gives teams the live context they need to deliver the timely, connected interactions customers want.

This builds something truly exciting. With agentic customer data platforms, AI agents can support the process of unifying data, then use that context to power connected experiences across the entire customer journey. This is how teams today can meet customer needs while saving enough time to focus on high-value workflows.

We’ll talk more about this later, but here’s a quick peek at what’s possible:

With the capabilities of a customer data platform, marketers can see how customer segments interact with their brand in real time and then identify personalisation and cross-selling opportunities for each customer across the entire journey.

This live, unified view makes a big difference for businesses trying to deliver the connected experiences customers want. Let’s look at five benefits to mull over.

Sometimes, a customer visits your website, looks at a few products, and then leaves. A CDP can add that visit to the customer’s unified profile, allowing you to follow up with personalised offers via their favourite channel, whether that’s email or a push notification.

This is vital at a time when 78% of marketers say they need more personalised content than they’re currently able to produce, and 50% say they don’t understand their customers well enough to create it.

A CDP solves both of these problems by giving teams a connected view of customer behaviour, clearer audience segmentation, and the context marketers need to personalise journeys at scale.

A CDP brings all your company’s customer data and analytics together and makes it available to all of your teams where they already work, breaking down silos and creating opportunities for shared insights.

With a live view of every customer interaction from ecommerce data, website visits, and more, everyone across marketing, sales, service, and your other teams can understand more about each customer and deliver more personalised, relevant engagement.

One of the most interesting things businesses can do with data is identify customers they don’t want to target. This is called suppression, and it’s part of delivering truly personalised customer journeys.

When a customer’s unified profile in your CDP includes their marketing and purchase data, you can suppress ads to customers who’ve already purchased. This is a win-win. Your customers don't have to see ads that aren’t relevant to them, and you get to optimise your budget by directing ads to new audiences.

Customer analytics helps businesses understand customer behaviour so they can make smarter decisions, enhance customer experiences, and improve marketing strategies.

A CDP can combine the four main components of customer analytics in one place: data collection, data sorting, data storage, and data analysis. This creates a powerful framework for understanding customer behaviour throughout the customer journey, improving loyalty and satisfaction, reducing churn risk, and strengthening customer retention.

With a real-time view of your customers, AI agents can help marketers personalise journeys and segment audiences in less time. They can also power customer experiences, like personalised recommendations and live conversations across channels.

This helps marketing teams consistently meet customer expectations while also freeing up their time to spend it on campaign strategy, creativity, and customer conversations.

Centralising customer data is essential for businesses because it creates a 360° view of the customer, leading to better campaigns and more personalised experiences.

But while 71% of marketers are satisfied with how their organisation unifies data across marketing, sales, and service, only 26% are completely satisfied. And with customer expectations constantly moving and real-time experiences becoming the norm, it raises the question: Is “good enough” still enough?

Centralised data platforms like Data 360 remove this ambiguity by delivering the real-time context marketers need. Here are three of the challenges CDPs can help solve.

When your data is disconnected, it’s more difficult to understand your customers and create meaningful connections with them.

As the number of data sources companies use continues to increase, it’s more important than ever to have a CDP as a single source of truth to bring it all together. Integrating your disparate data sources through a CDP makes it simple to surface customer insights anytime.

When marketers want to segment an audience, execute a campaign, or gather performance analytics, speed matters. But this is still a sticking point: Over one in three say they face delays when gathering the data for these tasks.

CDPs can solve this issue by bringing data to your teams sooner, making it easier to act on live signals and respond faster to trends.

Organising your data and unifying customer identity profiles are the first steps toward better segmentation and targeting. From there, a good CDP will automatically surface shared customer traits that make it simple to segment your audiences and deliver personalised customer engagement across the entire journey.

Both a CDP and a customer relationship management (CRM) platform help your business understand customers better, but they’re built for different jobs. One unifies data across the entire journey, while the other focuses specifically on relationships and interactions. Let’s take a look at how they differ:

• A CDP primarily manages customer data across the entire customer lifecycle. It collects, cleans, and consolidates data from various touch points, including ad clicks, website traffic, offline interactions, and more. The goal is to create a unified view of customer behaviour and traits.
• A CRM system is designed to support sales and customer interactions. It tracks specific interactions between your brand and individual customers, such as communication history, notes from sales representatives, and previous interactions.

• CDPs collect data from various sources, ensuring a comprehensive view of customer interactions. They consolidate this data to create a single source of truth and identity-resolved customer profiles.
• CRMs focus on customer-facing interactions with your team. They log specific details about individual accounts and their interactions with your brand.

• CDPs provide a big-picture view of how all customers interact with your brand, considering behaviour across different platforms.
• CRMs note interactions between a specific account and your brand, often within the sales cycle.

If a CDP is primarily used as a marketing tool, a data management platform (DMP) is used in advertising. They’re both there to make sure the right message gets put in front of the right person, in the right format, the right number of times.

Essentially, if a DMP is used effectively, it can help a business develop a deep understanding of its audience and customer behaviour.

A DMP is a central repository of an organisation’s data. It helps segment and analyse customer data to target an intended audience effectively with specific advertising campaigns.

CDPs and DMPs both collect first-party, second-party, and third-party data. However, the type of data they each target is different. CDPs tend to focus on first-party data, building in-depth customer profiles over time. DMPs go after third-party data, storing it for short periods of time to help with leads and conversion.

Digital marketers can use a CDP and a DMP to enhance customer experience and personalise marketing campaigns. They can also analyse those campaigns to see how effective they were and follow up on any leads that were generated.

There are hundreds of different CDP solutions on the market, but the difference between most boils down to two key focus areas: insights and engagement.

• An insights CDP software solution integrates and manages customer data from your company’s different systems and ultimately provides analytics and activation to deliver a single view of each customer.
• An engagement CDP software solution uses customer data to power real-time personalisation and engagement on digital platforms, such as websites and mobile apps.

In essence, one is focused on understanding the customer. The focus of the other is acting on that understanding in real time.

When choosing your own platform, your company’s stakeholders should consider whether an insights CDP or an engagement CDP would be best for your needs. Or, you can opt for a platform that offers both.

As you assess different options, you can narrow things down with a handful of simple questions:

1. Is this CDP easy to implement? Some CDPs are for highly technical users, while others are more accessible. It’s important to find one that your teams can easily operate.
2. Does this CDP easily integrate with our data sources? CDPs need to bring in a lot of data from many technology systems, which requires many integrations and APIs. Make sure the CDP’s data model fits with your data systems.
3. How does this CDP handle identity? Your CDP should be able to resolve customer identities across a wide variety of platforms and devices.
4. Is this CDP good for customer privacy? Make sure your CDP follows both the GDPR and CCPA and can easily adapt to future privacy regulations.
5. Does this CDP easily connect to our engagement platforms? Just as a CDP needs to integrate with many data sources, it also needs to connect with every platform you use to reach customers: email, websites, social media, and more.

Also consider whether the platform has enough scalability and flexibility to handle the need for connected journeys and real-time personalisation.

Features like real-time data activation and AI agents that can take action based on context may feel like nice bonuses over must-haves. However, they put you in a much stronger position to stay competitive and meet customer needs now and in the future.

As one of the world’s most recognisable brands, PepsiCo has retailer relationships spanning hundreds of countries, global markets, and major chains.

But it also works with a lot of smaller stores, and that’s where the challenge starts. PepsiCo strives to provide the same level of service to all of its partners, but this isn’t easy when your customers range from Walmart to the local neighbourhood supermarket.

To solve this, PepsiCo used Data 360 to bring its app and platform data together and activate that data to make it usable in real time. This gives teams a more complete view of each customer and store, while keeping the data live and ready to act on.

PepsiCo can now segment its audiences by preference, location, and buying habits in real time, then act on those insights through Agentforce Marketing and the wider Salesforce platform. The same connected view also helps teams run smarter trade promotions and fine-tune offers based on live market trends.

And now, with that foundation in place, PepsiCo is also using AI agents to extend faster support to all retailers and prospects in over 200 countries. Agentforce can talk to customers 24/7, provide personalised recommendations based on PepsiCo’s unified context, follow up across multiple channels, and hand over to human reps with a full brief at the right time.

This keeps customers happy and gives every team more space to excel in their roles. Watch the video below or see the full keynote from our 2026 Agentforce World Tour Sydney to learn more.

Moving forward, a customer data platform needs to be more than a live database for customer context. The goal now is speed, real-time activation, and features that help every team not just gather data, but also take action on those insights in the moment to deliver the connected, hyper-personalised experiences customers expect.

Enter Data 360. Our customer data platform can unify all of your company data and create connected customer profiles across marketing, sales, service, and commerce. Then it can activate those insights in real time across every channel. Here’s how our platform works:

• Connect data from across your entire business using out-of-the-box connectors for apps, web, and mobile sources
• Standardise incoming data into one consistent model with data mapping and reference models, so context is structured in a format your teams can use
• Keep customer profiles live by continuously pulling data in real time, so teams can act on what a customer is doing now rather than waiting for the next report
• Create audience segments in minutes with the support of AI agents that can turn natural language requests into complex prompts
• Surface data across the tools your team already uses, including email, mobile, advertising, web, and CRM, so teams don’t have to pull every data point manually

And the truly exciting part is that Data 360 doesn’t just help you unify customer data for people. It ensures agentic AI can use those insights also.

With a complete view of every customer, an agent could deliver personalised product recommendations through your website based on customer browsing habits or preferences. It can brief a seller before a call by pulling together all relevant customer context and past interactions into a single prep view. It could even support analytics by analysing trendsin real time to spot risks and recommend solutions faster.

And it can do all of these agentic workflows in real time, automating all of the prep work and admin tasks so your teams can focus on the strategies that drive your business forward.

This is the future of the CDP. Not just unified data, but live signals that help people and agents collaborate and deliver magical customer experiences in real time.

Today’s businesses need data management solutions that make complicated amounts of data easier to use, understand, and activate in real time.

For forward-thinking teams, the priority is no longer just building a single source of truth; it’s creating a live data foundation that teams and AI agents can work from in the moment. With Data 360 and Agentforce Marketing, you can unify customer data across every team and use it to power the connected experiences that give businesses an edge.

If you’d like to find out more about the current marketing landscape today, access our latest State of Marketing Report . You'll get insights from 4,450 marketing professionals across 26 countries and better understand the challenges and solutions of the agentic era.

Ready to start getting more out of your data? Talk to an expert to see how Data 360 can help you build a foundation for agentic marketing and personalise every experience across marketing, sales, service, commerce, and beyond.