Top 30 Customer Data Platforms to drive data-centric marketing campaigns in 2024

1. BlueConic

Make your company data accessible to your teams wherever and whenever they need it. BlueConic consolidates information from disparate systems into a central database for a 360-degree view of existing and prospective customers.

This pure-play CDP unifies customer profiles and synchronizes them across various ecosystems. This enables you to build detailed customer profiles for more accurate segmentation that enhances customer engagement.

Its user-friendly interface makes it easy to deploy website overlays and customized email campaigns. It can be used not just for data capture but also for serving ads and promotions.

Pros

• Scalability
• Flexible data tools
• Regular platform updates

Cons

• Some integrations are glitchy
• Limited analytics and reporting

2. Bloomreach Engagement

If you are looking to scale digitally and strategically, consider utilizing Bloomreach Engagement. This platform not only unifies your customer data but also enhances the customer experience.

Bloomreach Engagement CDXP lets you collect, store, and secure your own data and use extensive analytics capabilities to gain deep customer insights. This gives you a better understanding of your customers’ behavior and facilitates more effective segmentation in various campaign scenarios.

Pros

• Execution of campaigns across multiple channels
• Product personalization based on real-time customer behavior
• Easy to use

Cons

• No automatic dashboards for surveys
• Complex web layers
•  Steep learning curve

3. Treasure Data

Unify sales, marketing, and service for exceptional experiences throughout your customer data lifecycle through Treasure Data.

This enterprise CDP uses IoT devices to create customer profiles and gives users access to top-notch database tools. It offers a lot of functionality and can handle massive data volumes for better segmentation and more accurate analytics.

With its high uptime and fast response times, Treasure Data is highly recommended for high-volume sites that need to integrate multiple data sources. 

Pros

• Data aggregation and processing time
• Predictive and actionable insights 
• Seamless integrations

Cons

• Lack of flexibility
• Slow graphical user interface

4. Segment

Segment gives you the data foundation you need to transform your business into a customer-centric brand. Collect, consolidate, and use your customer data on various touchpoints to make real-time decisions that enhance customer experiences.

Twilio Segment allows you to create a data toolkit for all your teams in one intuitive platform. Marketers get a single view of customers and engage with real-time audiences. Product development teams can access data for a better understanding of what customers need. Engineering teams can deploy custom functions and integrate tools across any platform.

Pros

• Easy integration with existing CRM
• Real-time data integration
• Standardization of data via a shared data dictionary

Cons

• Confusing onboarding process
• Requires insertion of code snippets for accurate results

5. ActionIQ

Designed as a solution for chronic customer data fragmentation, ActionIQ CDP is equipped with a comprehensive tech stack for high-performing organizations. 

ActionIQ CDP enables access to real-time data at every touchpoint of your omnichannel marketing initiatives. It allows you to align people, technology, and processes in various touchpoints to enhance personalization throughout the buyer journey.

This platform is best for enterprises looking for better handling of customer journeys and advanced segmentation.

Pros

• Intuitive journey mapping
• Wide breadth of functionality
• Excellent support team and customer service

Cons

• Bulky flight process
• Limited reporting

6. Tealium AudienceStream CDP

Understand and engage customers in real time. Aside from unifying customer data, Tealium AudienceStream also enables you to pull up analytics in real time, so you can optimize audience engagement. 

AudienceStream is powered by machine learning technology and comprehensive tools that can be easily deployed even in mid to large enterprises across all industries. It enables centralized access from multiple systems and fast integration with CRM, marketing automation, email apps, and other business systems.

Highly rated for personalization and advanced analytics, this CDP is best used for managing advertisements, customer engagement, and the helpdesk.

Pros

• Plethora of use cases
• Real-time data capture and management
• Wide range of connectors

Cons

• Slightly steep learning curve 
• Intimidating user interface 
• Concurrent user support can be improved 

7. Lytics

Craft relevant marketing campaigns and create personalized digital experiences. Lytics harnesses machine learning and data science to enable data teams and marketers to streamline campaigns across various channels.

Lytics gives you a holistic customer view and helps generate data-driven insights for campaign optimization. Utilize intuitive tools for client activation, audience segmentation, and web personalization, among many others. This CDP also boosts your marketing tech stack, as it integrates with over 80 downstream tools.

Pros

• Easy audience segmentation
• Excellent behavioral scoring methodology
• Great targeting

Cons

• Limited customization
• Complex integration with other apps

8. Amperity

Improve your marketing performance with Amperity’s AI-powered platform. This enterprise CDP gives you a 360-view of your customer profiles, a unified hub for data intelligence and client activation, an integrated data infrastructure, and AI-driven ID resolution and management.

Commonly used by small businesses engaged in retail, Amperity helps you connect, identify, and understand your customers. Insights gained through this platform can build customer loyalty and drive business growth.

Pros

• Easy-to-use audience segmentation
• Excellent predictive analytics
• Unlocks insights instantly

Cons

• Complicated interface
• Limited campaign reporting 

9. FirstHive

One of the first CDPs to use machine learning, FirstHive has delivered positive results to its users in terms of marketing metrics. It utilizes ML algorithms to build unified customer identities from data gathered from multiple sources.

One of the primary appeals of FirstHive is that it lets you manage your customer data while maintaining compliance with privacy regulations. Another is that it has deep learning capabilities that can gather data even from unstructured sources and generate deep insights from predictive analytics.

Pros

• Intuitive graphical user interface
• Efficient campaign execution and support team
• GDPR and CCPA compliant

Cons

• Tricky to modify an existing campaign
• Relatively high learning curve

10. Hull

Unlock data silos and make more sense of your customer journey through Hull CDP. This platform consolidates customer data to keep all your customer-facing teams in sync.

Hull does away with time-consuming API integrations and disparate tools that make data synchronization slow and inefficient. It integrates marketing data, customer support information, and CRM data into one user profile for consistent representation at any point in the customer journey.

Pros

• Deep, native integrations 
• Real-time data synchronization
• Excellent customer support and service

Cons

• Frequent downtimes
• Fewer available integrations

11. mParticle

Accelerate growth by delivering exceptional customer experiences through mParticle. This simple yet powerful CDP has an intuitive interface that is easy to navigate and integrate. It is used by marketers and data analysts to gather and unify customer data from multiple channels.

As an infrastructure CDP, mParticle can be quickly deployed in various systems to help teams better manage data quality. It is useful for creating product roadmaps, logging customer journeys, and devising marketing campaigns. Its arsenal of tools includes predictive analytics, multichannel data collection, customer sentiment tracking, and campaign management.

Pros

• Data connections are easy to set up on social media platforms
• Great user interface design
• Fast and reliable

Cons

• Relatively high cost
• Unable to edit existing data connections

12. Totango

Optimize your engagement with your customers throughout their buyer journey. Totango, a Customer Success software, enables you to get real-time access to customer data, so you can take proactive approaches while nurturing them at each touchpoint.

Popular among startups and scaleups, Totango provides both flexibility and scalability in optimizing the customer journey. You can integrate the platform with the existing tools in your tech stack and manage all aspects of customer engagement in a single dashboard.

Pros

• Customer health score tracking and analysis
• Robust customer segmentation
• Visualization of data and trends

Cons

• Limited UI customization
• Some training is suggested 
• Pages tend to load slow

13. SALESmanago

Set apart from its competition by its no-code AI-driven platform, SALESmanago is among the most popular CDPs today. It combines customer data management, customer experience optimization, and marketing automation in one agile platform.

With SALESmanago, you can deliver hyper-personalized customer experiences in multiple channels. The platform leverages AI, big data analytics, and machine learning to process zero and first-party data. It’s packed with tools and features for email and social media marketing, lead management, campaign management, and reporting and analytics.

Pros

• Comprehensive tool stack
• Convenient drag-and-drop functionality
• Flexible price tiers

Cons

• Lean customization options
• Limited third-party integrations

14. Lemnisk

Create hyper-personalized experiences for every customer across all your marketing channels. Lemnisk’s hybrid CDP is backed by a powerful AI engine for intelligent segmentation and channel orchestration.

Increase your conversion and retention rates using an intuitive customer journey builder. Improve customer experiences on all channels, both online and offline, through insights gained from its proprietary machine learning engine.

Lemnisk is focused on the banking, financial services and insurance sector, but its ample catalog of features can deliver growth for enterprises in other industries as well. 

Pros

• Excellent customization
• Synchronization across multiple channels
• Identity resolution for easier customer targeting

Cons

• Rudimentary reporting dashboard
• Team-dependent for data

15. Lexer

Among the leading CDPs for retailers, Lexer is ideal for direct-to-consumer enterprises looking for an all-in-one platform for sales, marketing, and customer service.

Engage better with your customers through a single customer view and real-time data that you can access across various platforms. It uses machine learning and marketing models for intelligent and predictive analytics. This facilitates better decision-making based on data-driven insights.

Pros

• Easy to install and implement
• Strategic consulting services
• Micro customer segmentation

Cons

• May experience some complexities during the setup process
• No automated reporting

16. Autopilot

Sit back and relax as Autopilot cruises along the entire customer journey to convert leads and build customer loyalty. This marketing automation software unifies your customer data with its agile customer data platform.

Access numerous marketing automation templates to automate your customer journey with just a few clicks. Segment your customers, and activate them with personalized experiences in multiple channels.

Pros

• No-code drag-and-drop tools
• Automation on social media platforms
• Visual graphic interface

Cons

• Limited customization on email building
• Unintuitive backend navigation

17. SAP Customer Data Platform 

SAP Customer Data Platform lets you deliver personalized engagements through a better understanding of your customers.

Grow your audience and build trust with your customers through transparent data control that adheres to data privacy and compliance policies. Activate the right customer data, and deliver it to the right channels in real time. Get holistic views of your customers for better segmentation and audience management. 

Pros

• High data volume capacity
• Great solution for identity management
• Excellent connectors

Cons

• Customization can be more flexible 
• Analytics and automated reports can be improved

18. Squeezely

Collect, convert, and capitalize data to drive personalization at scale. Squeezely CDP brings all your customer information in one place and synchronizes all your channels for your cross-media marketing campaigns.

Squeezely gives your marketing strategy an advantage by enabling you to create a customer database online and track customer behavior and activities. It is a great complement to CRM tools used in comprehensive market research.

Pros

• Real-time customer behavioral data 
• Excellent customer support
• Easy integration

Cons

• Expensive pricing tiers
• Limited dashboard 

19. CrossEngage

Optimize the use of your first-party data in campaigns through intelligent analytics by CrossEngage. This powerful platform combines customer data and customer prediction to address complexities in managing customer engagement.

CrossEngage leverages automated machine learning and artificial intelligence to deliver real-time solutions for cross-channel campaign management. It gives you a 360-degree view of each customer and allows sophisticated segmentation. Its advanced models also enable multiple use cases tailored for your unique business needs.

Pros

• Great personalization features
• Popups and notification alerts
• Analytics and ROI tracking

Cons

• Dashboard could use some improvements
• Limited data import and export capabilities

20. Wigzo

Accelerate your eCommerce growth with the integrated no-code CDP and smart marketing automation of Wigzo. Deliver personalization across multiple channels and convert leads faster using smart segmentation, AI automation, business intelligence, and native analytics.

Wigzo makes omnichannel automation easy, so your brand message remains consistent at all your touchpoints. It also enables you to make data-driven decisions, so you can improve your customer lifetime value.

Pros

• Dynamic content
• Simplified workflow
• Great for remarketing

Cons

• Poor data reporting
• Some migration and integration risks

21. Optimizely

Formerly Zaius, Optimizely Data Platform is an extensible CDP that helps eCommerce businesses create seamless digital journeys for their customers.

Optimizely CDP helps you attain higher customer lifetime value by aligning your organizational processes around customer data. This enables you to deliver relevant experiences across the customer journey and build customer loyalty.

Pros

• Fluid and intuitive user interface
• Speedy integration with third-party platforms
• Good attribution modeling

Cons

• Long onboarding process
• Random errors such as data mismatch, glitches, and delayed reporting

22. Acquia CDP

Empower your customer-facing teams with data-driven insights they can use to build high-impact campaigns. Acquia’s CDP has a plethora of tools, pre-built attributes, and configurable features for advanced segmentation, analytics, and automation.

Acquia also offers high scalability with its modern SaaS architecture that’s capable of handling massive data volumes. Its machine learning framework delivers relevant and actionable insights for multi-touch campaigns.

Pros

• Drag-and-drop editor 
• Powerful customer segmentation and segment analysis
• Plenty of options for filtering data

Cons

• Some training for the platform is recommended
• Glitchy reporting tool

23. Apache Unomi

Personalize your customer experience using an open source customer data platform. Apache Unomi is an extensible platform with embedded features for managing data of customers, leads, and visitors.

Apache Unomi lets you adapt website content to your customers through web personalization. It is also capable of collecting and tracking data from mobile apps, so you can better understand customer behavior and activity.

Pros

• Real-time decisioning
• User privacy controls
• Easy deployment and installation

Cons

• Difficult to navigate
• Dashboard in terms of visuals can be improved

24. Meiro

Drive profitability without sacrificing customer data privacy. Meiro helps you identify your customers and unify their data through an identity resolution algorithm that maintains GDPR compliance.

With Meiro, you can optimize interactions with your customers. You are given a single view of your customer and the capability for data activation in various touchpoints. Real-time data processed using advanced AI and machine learning gives you immediate insights, so you can create deep personalization based on accurate segmentation.

Pros

• Easy to deploy
• Scalable
• User-friendly interface

Cons

• No mobile and on-premise deployment
• No behavioral analytics

25. SessionM

SessionM’s customer data management platform facilitates data collection from disparate sources, including mobile apps, eCommerce sites, POS systems, and other channels. It consolidates all data into a single customer view and unlocks real-time insights to help you engage customers at every touchpoint.

SessionM utilizes machine learning to enhance analytics for relevant and actionable data. This makes it a great platform for personalization, rewards, and gamification. 

Pros

• Low compliance, security, and privacy risk
• Excellent support system
• Personalized campaigns via texts, emails, and push notifications

Cons

• Issues in integrations with some platforms
• Limited trainings available

26. Redpoint Global rgOne

Be empowered by real-time decisioning that delivers business results. Redpoint Global’s rgOne CDP uses machine learning algorithms to process customer data and generate results-driven analytics.

Aside from unifying customer data, it gives you full control of your own data, so you can access and take action on them on your own terms. The platform is powerful enough to aggregate high volumes of data for hyper-personalization.

Pros

• Data matching and cleansing 
• Customizable interface
• Accurate real-time customer data

Cons

• Poor data import and export capabilities
• Limited custom reports

27. QuickPivot

Target and engage your customers with actionable customer data. QuickPivot CDP lets you collect and segment customer data and utilize them for intuitive cross-channel campaigns.

QuickPivot is a robust platform with advanced features such as predictive modeling, data integration, behavioral analytics, customer segmentation, and campaign management. It’s most useful in creating 360-degree views of customers for effective one-to-one personalization in various channels.

Pros

• Measurable success ratio
• Aggregates online and offline data
• Great for omnichannel marketing

Cons

• Limited customizability in terms of reporting
• Limited usability

28. Oracle Unity

Take the proactive approach with Oracle Unity. Know which action to take for a better customer experience at each touchpoint in the customer journey.

Oracle Unity leverages machine learning to analyze real-time data gathered from multiple touchpoints. It harnesses the power of data to activate personalized experiences. Aside from building unified customer profiles, it is also equipped with features that enable profile enrichment, smart segmentation, and deep customer analytics. 

Pros

• Dynamic, connected customer profiles
• Advanced privacy and identity controls
• Live support

Cons

• Expensive price range
• Complicated user interface

29. Ometria

Build a unified profile for each of your customers, and use data intelligence to personalize their experiences. Do these in one intuitive platform powered by artificial intelligence, machine learning, and big data technology.

Ometria puts together all the features of a CDP and a cross-channel marketing platform to give you a comprehensive solution for your campaigns. It also offers advanced segmentation and integration with social marketing platforms.

Pros

• Seamless integration with eCommerce platforms
• Advanced campaign configuration
• In-depth analysis

Cons

• Can do with more options for segmenting customers
• Poor management of email deliverability

30. Leadspace

Designed specifically for B2B companies, Leadspace CDP is capable of handling huge volumes of data collected from multiple channels. It unifies customer data into a B2B graph and uses advanced analytics to rationalize millions of data points. It then generates insights that marketers can use to segment and activate customers across all digital channels.

Pros

• Match and merge feature
• Good for lead nurturing, qualification, and distribution
• Strong integration with eCommerce platforms

Cons

• Conservative enrichment credits
• Expensive and inflexible subscriptions