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9 Best Customer Data Platforms Of 2024

Small Business Writer
Staff Reviewer

Reviewed

Updated: Apr 6, 2024, 8:32pm

Editorial Note: We earn a commission from partner links on Forbes Advisor. Commissions do not affect our editors' opinions or evaluations.

A customer data platform (CDP) collects data from online and off-line sources and standardizes it to create comprehensive customer profiles. These profiles are then used to build campaigns and customer experiences that attract and retain high-value customers. Forbes Advisor researched the best customer data platforms to help you make the right decision for your needs.

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The Best Customer Data Platforms of 2024

  • Segment: Best overall
  • Emarsys: Best for automated omnichannel customer engagement
  • Optimove: Best for predictive segmentation
  • FirstHive: Best for manufacturers
  • Lytics: Best for expanding advertising reach
  • BlueConic: Best for international data privacy management
  • ActionIQ: Best for customer experience management
  • Bloomreach Engagement: Best for commerce businesses
  • Totango: Best for composable customer success platform

Best Overall

Segment

Segment
5.0
Our ratings take into account a product's cost, features, ease of use, customer service and other category-specific attributes. All ratings are determined solely by our editorial team.

Starting Price

Free (up to 1,000 monthly visitors); $120 per month (up to 10,000 monthly visitors)

Single Customer Profile

Yes

Automations

Yes (onboarding, retargeting, reminders and more)

Segment
Learn More Arrow

Read Forbes' Review

Free (up to 1,000 monthly visitors); $120 per month (up to 10,000 monthly visitors)

Yes

Yes (onboarding, retargeting, reminders and more)

Editor's Take

Segment’s Free plan offers the ability to collect data from two sources, send data to unlimited destinations (such as analytics tools and platforms), create a single customer profile and track 1,000 users per month. Its Team plan is $120 a month and allows you to track 10,000 visitors per month across unlimited sources. Its Business plan requires a custom quote and offers advanced features such as roles and permissions and personalized customer experiences.

Twilio Segment allows you to integrate over 400 tools for data analytics, email, advertising and more, which means you can collect consumer data from web and mobile apps, then put your data to use to reach customers wherever they are based on a deep understanding of their preferences and needs. This includes crafting and engaging in personalized real-time journeys across devices and channels from one platform.

Learn more: Read our full Segment review.

Who should use it:

Segment best serves companies looking to create personalized customer journeys across platforms based on real-time data.

Pros & Cons
  • Free plan and trial available
  • Single view of customers
  • Cross-channel customer engagement
  • More than 400-plus integrations
  • Wide range of marketing automation triggers and sequences
  • Some features require developer knowledge
  • Only two data sources in free plan
  • No personalized customer journeys in small and midsized business plans
  • Must pay per 1,000 monthly visitors

Best for Automated Omnichannel Customer Engagement

Emarsys

Emarsys
5.0
Our ratings take into account a product's cost, features, ease of use, customer service and other category-specific attributes. All ratings are determined solely by our editorial team.

Starting Price

Not disclosed, must contact for pricing

Single Customer Profile

Yes

Automations

Yes, via a number of channels and triggers

Emarsys

Not disclosed, must contact for pricing

Yes

Yes, via a number of channels and triggers

Editor's Take

Emarsys is primarily a marketing customer data platform that operates using a holistic view of each customer. Its focus is on consolidating data to offer companies insights for one-to-one customer engagements that drive revenue growth. It combines this data consolidation with the ability to integrate an endless number of online and off-line channels, including direct mail, the web, SMS, mobile apps, digital ads, email and more.

Emarsys combines data with artificial intelligence to drive automated and personalized marketing. You can build automations to reach customers based on where they are in the customer life cycle, their predicted customer value or their recent actions across online and off-line channels. Or, focus on one channel to create highly personalized experiences.

Who should use it:

Emarsys is best for companies that must be present and highly engaged across many different digital and off-line channels at scale to drive revenue.

Pros & Cons
  • Omnichannel marketing
  • Advanced automations
  • Artificial intelligence for predictive planning
  • Engagement across online and off-line channels
  • Lacks transparent pricing
  • Steep learning curve due to breadth of features
  • Limited and tedious custom reporting capabilities

Best for Predictive Segmentation

Optimove

Optimove
4.9
Our ratings take into account a product's cost, features, ease of use, customer service and other category-specific attributes. All ratings are determined solely by our editorial team.

Starting Price

Not disclosed, must contact for pricing

Single Customer Profile

Yes

Automations

Yes, multichannel campaigns

Optimove

Not disclosed, must contact for pricing

Yes

Yes, multichannel campaigns

Editor's Take

Optimove’s cloud-based CDP is primarily directed toward aggregating data into a 360-degree customer view for use in understanding customers for marketing campaign optimization. It pulls data from first-party raw data, on-site and in-app customer activity, third-party data and data pulled from campaign response analytics. It then offers insights regarding where customer preferences are headed and how companies should proactively respond.

It stands out by offering micro-segmentation and predictive modeling. After gaining a deep understanding of customers, it segments them into small groups and helps companies decide on the best engagement based on predictive analytics. Predictive modeling is based on customers’ transactional, behavioral and demographic data. This actionable predictive data helps companies stay ahead of customer demands and, in turn, ahead of competitors.

Who should use it:

Optimove is best for companies in highly competitive industries that must stay ahead of the demand curve at all times.

Pros & Cons
  • Predictive modeling helps companies stay competitive
  • Hyper-segmentation capabilities
  • Cloud-based CDP
  • Real-time data activation capabilities
  • Pricing is not transparent
  • Steep learning curve
  • Data demands require large enterprise usage
  • Add-ons priced separately

Best for Manufacturers

FirstHive

FirstHive
4.9
Our ratings take into account a product's cost, features, ease of use, customer service and other category-specific attributes. All ratings are determined solely by our editorial team.

Starting Price

Not disclosed

Single Customer Profile

Yes

Automations

Yes, including predictive recommendations

FirstHive

Not disclosed

Yes

Yes, including predictive recommendations

Editor's Take

FirstHive offers a customer data platform (CDP) that aggregates first-party data from online and off-line sources, allowing brands to then use its insights to create personalized marketing campaigns. Its decision engine also learns from your data to then offer suggestions on how to communicate with customers in personalized ways. You can also use rules-based actions to create real-time personalized communication from scratch across channels.

FirstHive specializes in CDP solutions for manufacturers. Users can integrate marketing and supply chain data with production and distribution systems. Via data-driven personalization, they can build loyalty among supply chain partners. They can also tap into third-party data to identify influencers across the supply chain who can improve their products and processes. Finally, they can create personalized experiences and products for end users and customers.

Who should use it:

FirstHive specializes in offering customer data solutions for manufacturing, retail and finance companies. With tailored solutions and features for each, it best serves customers in these industries.

Pros & Cons
  • Specializes in manufacturing, retail and finance sectors
  • Personalization suggestions with predictive recommendations
  • Influencer identification
  • Partner loyalty-building tools
  • Lacks pricing transparency
  • Steep learning curve around customizations
  • Steep learning curve around integration process

Best for Expanding Advertising Reach

Lytics

Lytics
4.8
Our ratings take into account a product's cost, features, ease of use, customer service and other category-specific attributes. All ratings are determined solely by our editorial team.

Starting Price

Not disclosed

Single Customer Profile

Yes

Automations

Yes

Lytics

Not disclosed

Yes

Yes

Editor's Take

Lytics is a customer data platform that focuses on expanding brands’ marketing and advertising capabilities. It offers unified and complete customer profiles, then gleans insights from their data to automate ad and marketing targeting. In the end, it helps brands increase email open rates, create higher ad returns and improve customer conversion rates by using audience segmentation to create highly personalized and real-time approaches.

Uniquely, Lytics offers its proprietary First-Party Modeled Audiences powered by Google. It combines the power of machine learning (ML) with Google’s audience modeling capabilities to expand brands’ initial seed audiences into millions of likely buyers. Using automated workflows, it then feeds real-time ads to those likely buyers to exponentially boost conversions.

Who should use it:

Companies with underperforming ad spend should consider Lytics to help boost ad performance and expand audience reach.

Pros & Cons
  • Free Starter plan available
  • Free 30-day trial on paid plans
  • Automated workflows
  • Audience expansion tools
  • Tools for expanding marketing and ad reach
  • Built-in security features
  • Advanced technologies such as ML may require a learning curve
  • Must request custom quote for paid plans
  • Reporting can be difficult to read or access at times
  • Integrations can be clunky

Best for International Data Privacy Management

BlueConic

BlueConic
4.7
Our ratings take into account a product's cost, features, ease of use, customer service and other category-specific attributes. All ratings are determined solely by our editorial team.

Starting Price

Not disclosed

Single Customer Profile

Yes

Automations

Yes

BlueConic

Not disclosed

Yes

Yes

Editor's Take

BlueConic’s CDP helps companies manage and glean insights from customer data while protecting that data in compliance with global privacy legislation zones. It allows users to create complete customer views, segment that data, orchestrate customer life cycles for highest customer value and predict the value and quality of current and potential customers. From there, users can create ad and marketing campaigns to drive revenue growth.

BlueConic was named the best customer data platform in the 2022 SIIA CODiE Awards, in part, due to its dedication to customer data privacy. BlueConic users can set up a system that helps customers manage their own data privacy via consent. These systems can be tailored for privacy legislation zones across the globe, including GDPR (Europe), CCPA (California), PIPEDA (Canada), SB220 (Nevada) and potential NYPA Legislation (New York State).

Who should use it:

Companies with global customer or user bases that need to comply with a global or national set of privacy legislation zones should consider BlueConic for their CDP needs.

Pros & Cons
  • Free plan available
  • Global data privacy management tools and systems
  • Predictive modeling and analytics
  • Unique resources for telecom, consumer goods and media and publishing companies
  • Customer life cycle orchestration tools
  • Lacks pricing transparency on paid plans
  • Geared towards large companies
  • Glitchy integration process
  • Limited reporting compared to some competitors

Best Customer Experience Management

ActionIQ

ActionIQ
4.7
Our ratings take into account a product's cost, features, ease of use, customer service and other category-specific attributes. All ratings are determined solely by our editorial team.

Starting Price

Not disclosed

Single Customer Profile

Yes

Automations

Yes, including omnichannel customer journeys

ActionIQ

Not disclosed

Yes

Yes, including omnichannel customer journeys

Editor's Take

ActionIQ’s CDP is designed to offer superior customer experience by breaking down silos in customer data. It offers a 360-degree view of customer identities, granular audience segmentation, journey design and orchestration tools and capabilities, and the ability to act in real time in response to customer needs and actions. Its platform offers custom solutions for companies in the financial, media, retail, B2B, insurance and travel and hospitality industries.

ActionIQ’s CX Hub offers advanced capabilities to launch and optimize great customer experiences (CXs). Users can design multi-step and multichannel journeys via a no-code drag-and-drop canvas, hyper-segment audiences in minutes, test and customize customer journeys for different audiences and use cases for continual CX improvement and combine streaming and historical data for real-time relevant experiences.

Who should use it:

Companies needing to level up on their customer experiences to remain competitive in their industries should consider ActionIQ. With solutions tailored specifically to the financial, media, retail, B2B, insurance and travel and hospitality industries, ActionIQ is best suited to help improve brands’ CXs that belong to these industries.

Pros & Cons
  • Customer experience Hub
  • No-code drag-and-drop canvas for customer journey design
  • A/B testing
  • Real-time customer experience capabilities
  • Lacks pricing transparency
  • Limited reporting
  • Not as user-friendly as some competitors
  • Slow platform processes

Best for Commerce Businesses

Bloomreach Engagement

Bloomreach Engagement
4.4
Our ratings take into account a product's cost, features, ease of use, customer service and other category-specific attributes. All ratings are determined solely by our editorial team.

Starting Price

Not disclosed

Single Customer View

Yes

Automations

Yes, Marketing Automation

Bloomreach Engagement

Not disclosed

Yes

Yes, Marketing Automation

Editor's Take

Bloomreach is a single, multipurpose platform that enhances customer experience and collects customer data in personalized ways using AI algorithms. It registers all actions your customer takes across various channels such as websites, mobile apps and social media, recording their preferences based on their actions. This makes it an excellent tool for e-commerce businesses looking to enhance their search and merchandising capabilities, improve customer engagement, increase conversions and drive revenue growth.

The platform provides easy-to-use tools to build consistent and personalized experiences that span as many as 17 distinct channels. It also stores customer data in IMF (In-Memory Framework) ensuring very high read/write speeds, real reporting and execution. In addition, Bloomreach Engagement is also GDPR certified and committed to providing top security and privacy practices. The platform is also dedicated to providing stellar customer support.

Who should use it:

Commerce companies of all shapes and sizes that want to improve customer engagement and drive up the marketing revenue can benefit from using Bloomreach Engagement. It’s a great tool for marketers and merchandisers who have a large product catalog and want to provide personalized product recommendations and search results to their customers.

Pros & Cons
  • Easy to use
  • Powerful content manager tools
  • Personalized features
  • Intuitive dashboard
  • Great help content
  • Good communication with customer support
  • Complex capabilities can be challenging
  • Slow when loading larger reports
  • Asset manager could use improvement

Best for Composable Customer Success Platform

Totango

Totango
4.3
Our ratings take into account a product's cost, features, ease of use, customer service and other category-specific attributes. All ratings are determined solely by our editorial team.

Starting Price

$2,988

(with annual contract)

Single Customer View

Yes, single 360 customer view

Automations

Yes

Totango

$2,988

(with annual contract)

Yes, single 360 customer view

Yes

Editor's Take

Totango claims to be the industry’s only cloud-based composable customer success platform. It is a flexible customer success platform that allows you to create, construct, operate and evaluate your entire customer journey life cycle in a single location. Totang allows you to manage your organization’s complete customer portfolio, including accounts with intricate hierarchy structures and multiple products. With an outcome-oriented solution design, modular pre-built building blocks and integrated intelligence, you can set up and get started right away.

The platform enables businesses to scale efficiently, optimize customer experience at each stage of the journey and drive predictable growth for their business. It is known for its user-friendly interface and fast and efficient support team.

Totango offers the following platforms and toolkits: Spark, SuccessBLOCs, Zoe, DNA-CX and Totango Shield for security and privacy. It also includes multiple pricing packages for all sizes of businesses including the community package that is forever free for individuals and startups.

Who should use it:

Totango caters to businesses of all sizes, from startups to enterprises, looking for ways to scale their organization.

Pros & Cons
  • Mobile apps for iOS and Android
  • Very intuitive
  • Easy ongoing process
  • Secure platform
  • Excellent customer service team
  • Jira integration needs improvement
  • Takes time to learn

Summary: The Best Customer Data Platforms of 2024

Based on industry experts and user reviews, these leading CDPs are considered the best customer data platforms available today. It’s important to remember, businesses should evaluate each platform based on their specific needs and requirements to find the best fit for their organization.

Company Forbes Advisor Rating Starting price Single Customer Profile Automations LEARN MORE
Segment 5.0 5-removebg-preview Free (up to 1,000 monthly visitors); $120 per month (up to 10,000 monthly visitors) Yes Yes (onboarding, retargeting, reminders and more) Learn More Read Forbes' Review
Emarsys 5.0 5-removebg-preview Not disclosed, must contact for pricing Yes Yes, via a number of channels and triggers View More
Optimove 4.9 5-removebg-preview Not disclosed, must contact for pricing Yes Yes, multichannel campaigns View More
FirstHive 4.9 5-removebg-preview Not disclosed Yes Yes, including predictive recommendations View More
Lytics 4.8 5-removebg-preview Not disclosed Yes Yes View More
BlueConic 4.7 4.5-removebg-preview-1 Not disclosed Yes Yes View More
ActionIQ 4.7 4.5-removebg-preview-1 Not disclosed Yes Yes, including omnichannel customer journeys View More
Bloomreach Engagement 4.4 4.5-removebg-preview-1 Not disclosed Yes Yes, Marketing Automation View More
Totango 4.3 4.5-removebg-preview-1 $2,988 (with annual contract) Yes, single 360 customer view Yes View More

What Is a Customer Data Platform (CDP)?

A customer data platform is a software that collects and organizes customer data from various channels and sources, such as CRM systems, marketing automations tools, e-commerce platforms, social media and email channels, websites and more. The platform collects data from these sources and creates a unified customer profile that can be accessed and used by marketing, sales and customer service teams.

Three main types of customer data include, behavioral, demographic and transactional. This data is collected and used to analyze customer behavior, helping to gain insights on what the customer is doing and what the customer needs, allowing for a more personalized and targeted experience. Customer data platforms often are used by businesses that have large amounts of customer data and need a centralized platform to manage it effectively.


Benefits of a Customer Data Platform

There are several benefits that businesses can gain from using a customer data platform (CDP), including the following:

  1. Centralized customer data: A CDP allows businesses to consolidate customer data from various sources into a single, unified view. This makes it easier for businesses to understand their customers and deliver a more personalized experience. Solid CDPs have the ability to easily integrate with your existing data and work seamlessly with other systems you already use.
  2. Improved customer insights: A CDP provides businesses with a deeper understanding of their customers by analyzing their behavior, preferences and demographics. This information can be used to create targeted marketing campaigns and improve customer engagement. Some CDPs have advanced built-in AI capabilities allowing for more predictive recommendations and intelligent insights.
  3. Better customer segmentation: A CDP enables businesses to segment their customers based on various criteria, such as purchase history, behavior and demographics. This allows businesses to deliver more relevant messages and personalized offers to their customers.
  4. Streamlined marketing operations: A CDP can automate many marketing tasks, such as data cleansing, segmentation and campaign management. This can save businesses time, money and resources, allowing them to focus on other aspects of their operations.
  5. Improved return on investment (ROI): By delivering more targeted and personalized marketing campaigns, businesses can increase their ROI and revenue growth by tracking real-time insights and advanced analytics. Using a CDP can enhance your marketing agility by identifying opportunities based on preferences, location and other relevant factors.
  6. Secure customer data: By ensuring sensitive data is kept secure, you can establish customer confidence and trust by adhering to current and future privacy regulations and industry benchmarks, such as General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA) and FedRAMP

Overall, a customer data platform can greatly help businesses to gain a better understanding of their customers, improve customer engagement and drive revenue growth.


How To Choose the Best Customer Data Platform

Choosing the best customer data platform for your business can feel like an overwhelming task, especially with an array of options on the market. Here are some guidelines to help you make the right choice.

Determine Your Budget

Many CDPs do not list prices publicly. You must visit their website and follow their instructions to request a custom quote. As you do, remember that not all features are included in the core plans. Some are only available as add-ons. So, make a prioritized list of the features and tools you need and be sure to ask what add-ons are available to complete your list and their added cost.

Determine What Tools and Integrations Are Needed

Different CDPs offer the ability to integrate a unique list of tools and platforms. This means that some of the platforms your company uses to house customer data (your CRM, for example) may not be able to be integrated with all CDPs. Make a list of the key platforms, data sources and tools you need to integrate with your CDP and be sure to give that list to the CDP provider to ensure your integration needs will be met.

Map Out Business Goals

Some CDPs will go over your company’s use cases to determine your business goals with your customer data. They will then ensure that those goals can be met with the software they offer you. To prepare, preliminarily bring together all of your key stakeholders who are likely to use your CDP and make a list of their goals, then prioritize them from critical to nice-to-have. Also consider best practices, such as how your data should be protected by your chosen CDP.

Formalize Your Selection

Once you have a few CDP providers that align with your business needs, it’s time to formalize your selection. Look for customer reviews to help narrow down the best provider for you. Then, to confirm your decision, reach out and schedule a meeting to start a conversation between your chosen CDP provider and your key stakeholders.

Essential CDP Features

Here are some essential features to consider when choosing a good CDP platform:

  • Data integration: A good CDP should be able to integrate with various data sources such as CRM, social media, email marketing platforms and other third-party systems. This feature allows you to consolidate customer data from different sources and create a unified customer profile.
  • Data cleansing and unification: A CDP should have features that help clean and unify customer data. This feature ensures that the data you collect is accurate, complete and consistent.
  • Segmentation and personalization: Look for a CDP that provides segmentation and customer personalization capabilities. This feature allows you to create targeted marketing campaigns based on customer behavior, preferences and demographics. These strategies also help to re-engage clients and hold on to top-paying customers.
  • Real-time data processing: A good CDP should be able to process data in real time. This feature allows you to respond to customer behavior quickly and provide a personalized experience. An AI-infused CDP platform will also use predictive analysis to make future predictions.
  • Analytics and reporting: Look for a CDP that provides analytics and reporting capabilities. This feature allows you to track customer behavior, measure the effectiveness of your marketing campaigns and optimize your strategies.
  • Multichannel support: Choose a CDP that supports multiple channels such as email, social media, mobile and web. This feature allows you to create a seamless customer experience across different channels.
  • Security and compliance: A good CDP should have up-to-date security and compliance features to protect customer data and comply with data privacy regulations such as GDPR and California Consumer Privacy Act (CCPA).

Integrations

A well-designed CDP platform should seamlessly integrate with a company’s larger tech stack, making it an ideal choice for businesses that want to incorporate top-notch solutions into their data management platform. This allows for easy swapping of apps as needed. Let’s take a look at some of the most important integration considerations when choosing the best customer data platform.

  • Prebuilt integrations: Out-of-the-box integrations will handle the bulk of the work when it comes to moving data to and from the CDP. As a result, you won’t require ongoing IT assistance when it comes to data integrations and delivery. Before choosing a CDP, check the prebuilt integrations offered by the vendor and their compatibility with your existing tech stack. While some level of customization may be necessary, the vendor’s out-of-the-box integrations should cover most of the apps in your data stack.
  • Integration capabilities: Consider the vendor’s integration capabilities when selecting a CDP. Look for a vendor that offers an extensive, full range of integration capabilities that can future-proof your data management efforts. Look for integrations that can cover different source categories including web, mobile and IoT as well as destination categories such as analytics, advertising and storage.
  • In-house integration experts: Look for a CDP platform that not only has a strong set of out-of-the-box integrations but a quality integration team that provides a strong level of support. These integration experts can help with custom integrations.
  • Ecosystem-neutral CDP: Choose an ecosystem-neutral CDP that uses APIs to connect to any part of your tech stack. Vendor-specific CDPs will limit you to the applications and systems provided by the vendor. Opting for an ecosystem-neutral CDP enables you to use industry-leading solutions for each job.
  • Product documentation: Check for the vendor’s prebuilt integration documentation. How easy and user-friendly are the integrations? How long will it take to achieve each integration? Are there any product limitations based on the plans? These are some important questions to ask when considering a CDP platform.

Other Important Considerations

It’s important to recognize that although a customer data platform has its advantages, it also requires a long-term commitment as it becomes deeply integrated into your digital ecosystem.

It’s crucial that customers, especially those with limited knowledge or technical expertise, understand what they are committing to and how to derive value from it. Let’s take a look at some important questions stakeholders should ask vendors before signing on:

  • Vendor stability: Has the product been a good partner in doing business and can it evolve with the challenges and needs of the clients? It’s important to choose a vendor that is built to grow and meet your industry-specific needs.
  • Flexibility: Does it have an array of prebuilt integrations? Look for a CDP that can adapt and integrate with multiple data types as well as all your existing data sources. Take a look at your marketing, sales and operational sources and see which data ingestion platforms it offers as existing integrations (for example, Adobe, AdRoll, Google Analytics and Salesforce).
  • Support: How is the onboarding experience? What is the level and support offered by the CDP provider? Understand the value of the CDP and evaluate the steps it takes to prepare implementation, documentation and help when needed.

By taking these additional factors into consideration, you can confidently choose a CDP that can provide long-term value to your businesses and support your growth and success.


How Much Do Customer Data Platforms Cost?

The cost of a customer data platform can vary depending on several factors, such as the size of your business, the number of profiles that need to be managed, the level of complexity of your data and the features and functionality you require. Some CDPs charge based on the number of customer profiles or records, while others charge based on the volume of data or data processing.

Some CDPs also offer free plans—this is ideal for organizations just getting started but free plans usually have a limited number of visitors and records per month. Many also offer a free trial allowing you to test the platform before committing to a paid plan.

Entry-level pricing can range from $120 a month to $1,500 per month to hundreds of thousands of dollars per year for tailor-made offers. Pricing depends on the provider and the features and services needed. Platforms that target mid-market to large companies often have higher price structures due to license costs, a more experienced sales team and dedicated customer success managers.

There are many variables to consider when it comes to cost:

  • The size of your contact database
  • The number of events and sources collected from the site
  • The number of users (per-user pricing is very common)
  • The level of support included in the plan
  • Basic functionality and add-ons
  • The budget for your CDP

It’s also important to note, the cost of a CDP should be viewed as an investment in your business. It’s also essential to factor in the potential return on investment (ROI) that you could achieve by using the platform, which can ultimately justify the investment in a CDP.


Methodology

We collected and evaluated customer data platforms (CDPs) based upon five criteria: pricing, general features, additional features, ratings and reviews, and expert score. Here is a closer look at each of these criteria and how they were used to create this best-of list.

Pricing

When evaluating customer data platforms (CDPs), pricing is an essential factor to consider. As part of the evaluation process, pricing was scored based on the availability of a free trial, free version and public transparency of pricing. This factor accounted for 10% of the total weighted score.

General Features

We evaluated CDPs based on general features so that businesses could choose a platform that meets specific needs and requirements. These features included the ability to create and execute targeted email and online marketing campaigns, manage leads, optimize your website, create a single unified view of each customer and compatibility with multiple devices. General features accounted for 30% of the total score.

Additional Features

Along with general features, the evaluation process of customer data platforms also includes additional features. These features have the ability to improve marketing efforts and drive revenue growth. Additional features we took into consideration included the ability to track and analyze key marketing metrics, predictive modeling, personalized product recommendations, campaign/timeline management and ROI tracking. These additional features accounted for 20% of the total score.

Ratings and Reviews

A high number of ratings and reviews indicate that the platform has been widely used and tested by a large number of businesses. We determined the scoring based on the number of reviews as well as platforms with an average rating of 3.5 or higher. This factor accounted for 10% of the total score.

Expert Score

We also evaluated the platform based on specific criteria such as any additional standout features or unique capabilities, the value of money, how it compares to competitors, how widely used it is within the industry and how user-friendly and intuitive the platform is. Our expert scoring accounted for 30% of the total score.


Frequently Asked Questions (FAQs)

What does a customer data platform do?

A customer data platform unifies data from multiple tools (or sources), creating a single source of truth around customer behaviors and interactions across all brand touchpoints. This data is then made available to marketing teams to be used for the creation of highly targeted ad and marketing campaigns.

What are customer data platform examples?

Examples of customer data platforms include Twilio Segment, ActionIQ, BlueConic, Lytics and FirstHive. All of them aggregate customer data from multiple sources to create one source of truth in the form of customer profiles.

What's the difference between a CDP and CRM?

Both CDPs and CRMs collect data on customers to create single and complete customer profiles. However, while a CDP uses behavioral and interactional customer data to help marketers create highly personalized ad and marketing campaigns across channels, a CRM’s data is used by sales teams to track and manage customer-facing interactions, such as customer support tickets and upsells.

How do I set up a customer data platform?

After you have selected the best customer data platform for your business, it is essential to identify which teams in your organization will be responsible for the setup process. These teams must include the CDP implementation in their product management road map and test the data to ensure its accuracy and effectiveness.

In most cases, marketing teams will not have the necessary expertise to set up a CDP independently. Therefore, it is recommended to work with a marketing operations team. If available, tech or data teams should take on the responsibility of the setup process.


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