Customer data platforms (CDP) and data management platforms (DMP) are marketing and advertising tools (in that order). They have similar sounding acronyms and, in some ways, work in the same way. For example, they both capture and organize data, use existing data, generate analysis and reports, and help to create a single customer view. With a CDP and a DMP, digital marketers can personalize their marketing campaigns, see how effective those campaigns were, and drive leads.
But to maximize your marketing results, there are distinct differences between the two platforms that you need to understand.
How to use a customer data platform and a data management platform
Data management platform
A data management platform collects, segments, analyzes, and stores anonymous customer data from various sources. Advertisers (mainly) use this unified, segmented data to effectively target (and retarget) advertising campaigns to their intended audience. Designed primarily as an adtech tool, a DMP can also drive product recommendations on your website for each unique visitor.
Examples of how to use a DMP effectively include:
Leveraging audience data to identify any new customer segments and reach those target audiences through various paid media channels
Using this audience data to personalize interactions
Learn more about DMPs
Customer data platforms
A customer data platform is a marketing solution that collects data from your existing customer database, website, mobile app, and CRM to customize marketing and content for current customers. It’s an ideal solution for any/all remarketing efforts.
Both platforms handle first-party data (direct from the customer, CRM and/or marketing automation database, or purchase transactions), second-party data (data provided from other companies, such as partners, resellers, etc.), and third-party data (data from multiple sources).
Both CDPs and DMPs collect the same types of data, but what they target differs. DMPs primarily pursue third-party data (cookies and segmented customer IDs) and then store that data for a short time. CDPs focus on structured, semistructured, and unstructured PII first-party data.
A CDP stores this data over long periods of time so marketers can build in-depth, accurate customer profiles and nurture customer relationships. And a CDP can share and draw data with any system (CRM or DMP) that needs it (and has it) to influence all types of marketing.
CDP vs. DMP—User profiles, data selection, and data capture
User profiles for DMPs segment and categorize people tied to a cookie’s lifespan to capture their anonymous behavioral data.
Data selection involves several field values to collect the necessary data. Yet, as part of the field data, DMPs can gather important insights, including when people visited a website, how long they spent there, and what type of information they read on it. But to get the most out of DMPs, you need to turn to analytics tools to extract more patterns.
CDPs avoid anonymous data and focus on specific data that identifies individual customers. An email address is one example of the type of customer identifiers used by CDPs.
The role of CDPs and DMPs in your marketing strategy
Data management platforms Each platform can play a role in your marketing strategy. Through access to historical data, both platforms can illuminate and inform your digital marketing strategy, but in very different ways. For example, DMPs are effective for digital channels and audience segmentation.
CDPs, on the other hand, are beneficial for social media websites, offline interactions, and insights into customer needs and purchase behavior. With a CDP system that manages data, you’ll better understand customer needs and expectations based on their purchase behavior and past interactions with your brand.
Knowing when to use or choose a data platform
Deciding on whether to use a CDP, DMP, or both comes down to:
Understanding the differences between the two platforms
Determining how each platform can help you achieve your marketing objectives.
Knowing how you want to use your data
Establishing if you can dedicate enough resources to using these platforms to optimize their potential
Not CDP vs. DMP, but CDP and DMP
A CDP and DMP can work together. However, if you need third-party data for short-term customer leads and conversion, you should work with a DMP. If you seek long-term customer engagement that requires first-party data, you should work with a CDP. Both platforms offer ways to enhance the customer experience (CX) and can help you create, provide value, and maximize return on investment (ROI).
Depending on the type of CDP you select, there are also opportunities to combine these platforms to take advantage of more marketing opportunities. For example, you can use DMP data in real time to personalize the interaction with first-time site (anonymous) visitors to establish and maintain trust. You can also deepen your customer profiles with the third-party data that a DMP delivers.
CDPs draw data from DMPs and share information back with them. The two systems work well together, with DMPs driving in new prospects and leads and CDPs helping brands connect and engage with them. So when a DMP is integrated with a CDP, you can gain access to first-party data that shows what customers are doing beyond their interactions with you. This insight helps you find out more details about what they want or need.
Customer relationship management (CRM) is a complete software system that manages customer relationships, but it isn’t a single solution. To effectively manage, analyze, and improve your customer relationships, you need a comprehensive set of cloud solutions that supports your organization at every customer interaction point.
Which is why your CRM solution should include a sales cloud, service cloud, ecommerce cloud, and marketing cloud, as well as a customer data platform (CDP) that can combine online, offline, and third-party data sources for an always up-to-date customer 360 view.
What is a CRM system?
A CRM system gathers, links, and analyzes all collected customer data, including contact information, interactions with company representatives, purchases, service requests, assets, and quotes/proposals. The system then lets users access that data and understand what happened at each touchpoint. Through this understanding, a complete customer profile is developed, and a solid customer relationship is built.
Customer data can also be aggregated to populate incentive compensation modeling, sales forecasting, territory segmentation, campaign design, product innovation, and other sales, marketing, and customer service activities. CRM tools and software help you streamline the customer engagement process, close more sales deals, establish strong customer relationships, build customer loyalty, and ultimately increase sales and profits.
CRM tools have almost always been seen as sales tools. However, over time, these solutions have extended their reach and become integral to marketing, ecommerce, and customer service functions.
The power of customer relationship management is derived by constantly gathering customer data, analyzing that data, and then using those insights to deepen relationships and improve business results. It allows any customer-facing employee to convey, “We know you, and we value you.”
A set of data-driven CRM tools supports you beyond the sales process, which is crucial to business performance. With the in-depth knowledge of your customers, you can:
Offer and sell new, add-on products—at the right time in the right way at the right price
Help customer service teams resolve issues faster
Help development teams create better products and services
CRM software supports strong, productive, loyal customer relationships through informed and superior customer experiences. The goal? To improve customer acquisition and retention by providing experiences that keep your customers coming back. Customer relationship management is both a strategy and a tool that supports those experiences in five key ways.
1
Answer the most basic customer questions
Customer relationship management helps you find new customers, sell to them, and develop a loyal customer relationship with them. These systems collect many different types of customer data and organize it so you understand your customers/prospects better and can answer (or even anticipate) their questions.
2
Manage customer data
Bad decisions come from a lack of access to and inability to interpret customer data. Being able to store, track, and validate customer data within an automated system will allow sales and marketing teams to optimize customer engagement strategies and build better relationships.
3
Automate the sales process
Sales force automation makes selling more efficient, helping you sell more quickly. The best CRM systems use artificial intelligence (AI) and unified customer data to automate the sales process by prompting sellers with recommended next-best actions.
4
Personalize marketing campaigns
Customers and potential customers arrive through various channels, including websites, social media, email, online/offline events, etc. Unfortunately, many businesses struggle to connect marketing efforts across all these channels. Marketing teams can improve conversions, strengthen customer relationships, and align messaging across their digital customer channels by leveraging CRM systems.
5
Align sales and marketing
With customer relationship management, marketing and sales work better together to drive sales and increase revenue. When sales and marketing are in sync, sales productivity goes up along with marketing ROI.
CRM features and benefits
Customer relationship management solutions are one of the largest and fastest-growing enterprise application software categories. The CRM market size was valued at $41.93 billion in 2019 and is projected to reach $96.39 billion by 2027, growing at a CAGR of 11.1% from 2020 to 2027.
More and more companies are using CRM solutions to acquire more sales leads, improve the sales pipeline, boost productivity, and improve customer satisfaction. However, many have encountered problems ranging from cost overruns and CRM integration challenges to system limitations. These are avoidable problems, and you can help ensure success by focusing on a customer-first strategy.
It’s critical for businesses to have integrated, customizable, and comprehensive views into their customers’ and potential customers’ solution/product interests, customer service needs, and purchase history. A good CRM system should provide that view. All data is in a single location, viewable through optimized dashboards.
Additionally, your marketing team can leverage CRM solutions to orchestrate personalized marketing and lead generation campaigns. These systems can help track all cross-channel interactions—from engagement to purchase. Mature cloud CRM solutions do more. They are fully integrated with back-office solutions to successfully support the entire customer journey.
Because it manages prospect and customer engagement points across all channels, your CRM system can inform all your communications and marketing activities, delivering the 360-degree customer view needed for a truly connected omnichannel experience.
Many different vendors have many different types of solutions. However, a few capabilities are must-haves.
Provide accurate, consistent data for that much-needed, complete customer 360-degree view
Types of CRM
CRM software solutions, at their core, are used to manage customer relationships and sales interactions. Still, many businesses leverage these systems simply as a sales force automation tool. But these solutions, such as Oracle’s, offer many more valuable capabilities that span a wide range of marketing and sales functions, including marketing, customer service, sales, and partner channel management.
Today’s CRM software can support the entire customer journey. But what one company may need from a CRM system can be vastly different from what another company might require. To help you select the right CRM for your organization, it’s helpful to know that there are three main types of CRM solutions: collaborative, operational, and analytical.
Data is the most critical part of any CRM software solution. In fact, customer data is the starting point for all marketing and sales activities. Successful customer engagement and relationship strategies hinge on accurate, complete, and accessible customer profiles. Bad data comes from several places, including:
Fraudulently entered data
Keystroke errors
Duplicate customer information
Natural changes (company bankruptcy, job changes)
Incomplete and inaccurate data can increase quickly to degrade the value of your CRM tools, resulting in unnecessary expenses. Conversely, when customer data is complete and accurate, businesses stand a better chance of reaching their target customers and prospects. In short, your data is a valuable asset. So it’s important to focus on collecting and optimizing these four CRM data types:
Identity data
Identity data includes descriptive details to identify customers, leads, and contacts. This data should be used for marketing segmentation.
Descriptive data
Descriptive data includes lifestyle details relevant to your contacts. It is what completes that all-important 360-degree view of leads and contacts.
Quantitative data
Quantitative data includes measurable data points that can help you interpret how your leads and contacts have interacted with you.
Qualitative data
Qualitative data can help you better understand your contacts’ intent, including search behaviors related to buying decisions.
CRM vs. marketing automation
Both CRM and marketing automation systems are data-driven. They focus on gathering, storing, and using data. For example, marketing automation systems gather leads by communicating with potential and current customers.
Specifically, marketing automation looks to gather enough customer data points to show intent and then hands that person off to the sales team as a marketing-qualified lead (MQL). A CRM solution picks up where the marketing automation solution left off and works to convert those marketing-qualified leads into contacts.
AI in CRM
Discover the next generation of CRM (0:38)
The best CRM systems offer robust analytics coupled with AI and machine learning. AI is the future of customer relationship management, going beyond contact management and sales force automation to truly helping you sell.
AI in CRM can guide you toward the next-best actions and provide smart talking points—specific to each customer opportunity. AI also delivers timely customer intelligence that helps you optimize customer experience (CX) across marketing, sales, and customer service.
CRM vs. CX
When customer relationship management first arrived on the scene, businesses would capture data but not know what to do with it. Today, CRM systems are integrated with AI, which helps interpret and predict what that data means.
CRM AI capabilities are the foundation to using a 360-degree view of the customer that will start them on their way to becoming your customer. As these AI enhancements continue to evolve, CX will continue to improve—and in turn, customer expectations will continue to increase.
Your business needs to fully understand your customers (and how they buy) to not only meet their expectations but to provide them with compelling experiences. This is the future of CX and should serve as your guide to selecting the best CRM solution.
How CRM improves customer experience
A complete customer view is necessary for business success and growth. Without a CRM system, you’ll struggle to develop that much-needed 360-degree view of the customer that you need to:
Personalize customer interactions
Automate business processes (with appropriate CX integrations)
CRM software solutions help sales reps organize their leads, automate follow-ups, and manage their opportunities and pipeline. But sales isn’t the only department within your organization that can benefit from your CRM platform. Marketing, customer support, product development, content management, and HR can all achieve high ROI from a CRM solution.
For example, since your solution holds essential information about every customer, your customer support teams can put that customer data to good use. With CRM data, your customer support reps (CSRs) have more insight into who your customer are, their needs and motivations, and what type of relationship they’ve had with your brand in the past. This information gives your customer service reps context when interacting with those customers.
As with any other business application, the decision to host your CRM on-premises, in the cloud, or as a hybrid model depends on your business needs.
On-premises CRM
On-premises CRM gives you complete control over your system, but there is a trade-off. These systems must be purchased, installed and deployed, monitored, maintained, and upgraded. As a result, they can be costly, involve time-intensive installations and upgrades, and require in-house IT resources for ongoing maintenance.
With an on-premises CRM solution, access to new functionality can be a long, drawn-out, and expensive process. Also, sophisticated AI-based technology—to support virtual assistants, chatbots, next-best recommendations, and predictive analytics—will not be available.
Cloud CRM
Software-as-a-service (SaaS) options offer simple interfaces that are easy to use and require less IT involvement and investment than on-premises CRM tools. Because upgrades are pushed through automatically, you always have the most up-to-date functionality without significant IT effort.
This includes new advanced technology, such as AI and machine learning that can help you turn your customer data into relevant customer experiences. Cloud-based CRM also offers the convenience of anytime, anywhere access through mobile devices.
Hybrid CRM deployment
A hybrid CRM deployment requires trade-offs in all the areas mentioned above, but this deployment model can also deliver the best of both worlds. However, it’s important to recognize that IT technology is increasingly moving to the cloud. Companies that remain heavily invested in on-premises CRM risk being left behind as competitors advance to the cloud. Your ability to provide mobile access will also be limited.
There are so many things to take into consideration when selecting a CRM system for your organization. But in the end, the CRM model most suitable for you is the one that allows you to interact with your customers in meaningful ways to drive exceptional customer experiences.
