  # Best Customer Data Platforms (CDP) - Page 6

  *By [Alanna Iwuh](https://research.g2.com/insights/author/alanna-iwuh)*

   Customer data platforms (CDPs) are used to consolidate and integrate customer data into one single database. These tools offer marketing teams relevant insights needed to run campaigns. A CDP can grab information from online and offline sources such as websites, mobile apps, and email platforms to offer a complete view of the customer. After retrieving this data, a CDP can then help organizations predict the optimal next move with a particular customer. This allows businesses to learn what needs to be done to retain specific customers. A CDP can also be used by customer service teams to cater their support to each individual. [Marketing automation software](https://www.g2.com/categories/marketing-automation), [data warehouse software](https://www.g2.com/categories/data-warehouse), and other platforms that store data can typically integrate with a CDP.

There are a few different types of CDPs to help businesses with varying use cases. A data CDP is the most common system of unified customer data to create a single consumer profile. A campaign CDP is used for campaign management, cross-channel, and multichannel marketing hubs. And an analytics CDP is strictly for the analysis of the type of data it holds.

To qualify for inclusion in the Customer Data Platforms (CDP) category, a product must:

- Provide a 360-degree view of the customer
- Gather data from multiple sources into one platform, including first-party, second-party, and third-party data from online and offline sources
- Unify customer profiles across systems
- Connect with other systems to allow marketers to execute campaigns
- Improve targeting for marketing campaigns




  
## How Many Customer Data Platforms (CDP) Products Does G2 Track?
**Total Products under this Category:** 290

### Category Stats (May 2026)
- **Average Rating**: 4.45/5
- **New Reviews This Quarter**: 272
- **Buyer Segments**: Mid-Market 39% │ Small-Business 36% │ Enterprise 25%
- **Top Trending Product**: imagino (+0.333)
*Last updated: May 18, 2026*

  
## How Does G2 Rank Customer Data Platforms (CDP) Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 23,800+ Authentic Reviews
- 290+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

  
## Which Customer Data Platforms (CDP) Is Best for Your Use Case?

- **Leader:** [Insider One](https://www.g2.com/products/insider-one/reviews)
- **Highest Performer:** [GrowthLoop](https://www.g2.com/products/growthloop/reviews)
- **Easiest to Use:** [Insider One](https://www.g2.com/products/insider-one/reviews)
- **Top Trending:** [Maestra](https://www.g2.com/products/maestraplatform/reviews)
- **Best Free Software:** [Twilio Segment](https://www.g2.com/products/twilio-segment/reviews)

  
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---

  ## What Are the Top-Rated Customer Data Platforms (CDP) Products in 2026?
### 1. [Tapestry Segmentation](https://www.g2.com/products/tapestry-segmentation/reviews)
  Tapestry Segmentation gives you insights to help you identify your best customers, optimal sites, and underserved markets.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 3
**How Do G2 Users Rate Tapestry Segmentation?**

- **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 9.0/10)

**Who Is the Company Behind Tapestry Segmentation?**

- **Seller:** [Esri](https://www.g2.com/sellers/esri)
- **Year Founded:** 1969
- **HQ Location:** Redlands, CA
- **Twitter:** @Esri (188,888 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/5311/ (7,207 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 33% Mid-Market, 33% Enterprise


### 2. [Acoustic Connect](https://www.g2.com/products/acoustic-connect/reviews)
  Acoustic Connect is a B2C customer engagement platform designed with journey orchestration and multichannel capabilities at its core. It empowers marketers to create and send personalized messaging across email, mobile and dedicated messaging platforms. What sets Acoustic Connect apart is its adeptness at capturing and decoding customer signals, offering actionable insights from cues like intent or a propensity to purchase or churn. These signals then turn into strategies to optimize journeys, unlock unprecedented segmentation possibilities, and personalize messages so marketers can connect with their customers in ways previously unimagined. For brands prioritizing deeper customer relationships and driving growth, Acoustic Connect is the definitive choice.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 2
**How Do G2 Users Rate Acoustic Connect?**

- **Predictive Modeling:** 8.3/10 (Category avg: 8.0/10)
- **Data Enrichment:** 7.5/10 (Category avg: 8.6/10)
- **Expandability:** 6.7/10 (Category avg: 8.6/10)

**Who Is the Company Behind Acoustic Connect?**

- **Seller:** [Acoustic](https://www.g2.com/sellers/acoustic)
- **Year Founded:** 2019
- **HQ Location:** Conway, AR
- **Twitter:** @GoAcoustic (64,188 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/14841964/ (497 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Small-Business


#### What Are Acoustic Connect's Pros and Cons?

**Pros:**

- Ease of Use (2 reviews)
- Efficiency (2 reviews)
- Customer Engagement (1 reviews)
- Customer Support (1 reviews)
- Customizability (1 reviews)

**Cons:**

- Learning Curve (1 reviews)
- Limited Customization (1 reviews)
- Limited Features (1 reviews)
- Limited Reporting (1 reviews)
- Navigation Difficulty (1 reviews)

### 3. [Activation Studio](https://www.g2.com/products/activation-studio/reviews)
  Activation Studio is a lightweight CDP for Salesforce Marketing Cloud solution aimed at marketers. Create segments via our drag and drop designer (No SQL) and activate them in Journey Builder. Use scoring rules and track web behavior in one application. Boost efficiency SFMC (Segment Designer) \&gt;Improved workflow and time to market \&gt;Drag &amp; drop segmentation \&gt;Segment customer data without writing SQL Effective lead management (Score Designer) \&gt;Lead scoring solution for SFMC \&gt;Identify the interests, needs and intent of your leads \&gt;Inbound lead qualification Realtime engagement tracking (Interaction Designer) \&gt;Include website tracking in SFMC \&gt;Leverage digital activity customer or lead \&gt;Quick and easy setup lightweight CDP


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 3
**How Do G2 Users Rate Activation Studio?**

- **Predictive Modeling:** 10.0/10 (Category avg: 8.0/10)
- **Data Enrichment:** 10.0/10 (Category avg: 8.6/10)
- **Expandability:** 10.0/10 (Category avg: 8.6/10)

**Who Is the Company Behind Activation Studio?**

- **Seller:** [Harvest Tech Labs](https://www.g2.com/sellers/harvest-tech-labs)
- **Year Founded:** 2019
- **HQ Location:** Groningen, NL
- **LinkedIn® Page:** https://www.linkedin.com/company/harvest-labs/ (2 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 67% Small-Business, 33% Mid-Market


### 4. [Apache Unomi](https://www.g2.com/products/apache-unomi/reviews)
  Apache Unomi is a Java Open Source customer data platform, a Java server designed to manage customers, leads and visitors data and help personalize customers experiences.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 2

**Who Is the Company Behind Apache Unomi?**

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF (66,161 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/215982/ (2,408 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 50% Mid-Market, 50% Small-Business


### 5. [Arena.im](https://www.g2.com/products/arena-im/reviews)
  Arena is developing the next generation of live engagement tools powered by first party data, to build trusted, live audiences everywhere. Our solutions - Live Chat, Live Blog, CommerceAI) leverage the most popular features from social media to quickly create deep engagement on any platform you manage. Top industry leaders in news publishing and media trust Arena to bring their audiences together on the web, in apps, or at live events (or all three) to engage with content, community and commerce.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 22
**How Do G2 Users Rate Arena.im?**

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.0/10)

**Who Is the Company Behind Arena.im?**

- **Seller:** [Arena.im](https://www.g2.com/sellers/arena-im)
- **Year Founded:** 2018
- **HQ Location:** San Francisco, California
- **LinkedIn® Page:** https://www.linkedin.com/company/arenaim/ (115 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 64% Small-Business, 27% Mid-Market


### 6. [Easyence](https://www.g2.com/products/easyence/reviews)
  Easyence is the only Customer Infastructure dedicated to data-driven retailers. Join 240+ businesses that use Easyence Customer Data Platform and Apps to deliver memorable customer experience. Easyence&amp;nbsp;collects customer events (products, stores, etc.), leverages your current models with smart algorithmes to serve your business, and provides a complete toolkit of applications to your marketing team. Empower your team and accelerate your business. Build data-driven decision making team.&amp;nbsp;Easyence enables data-driven decision making and high productive teams.&amp;nbsp;Personalize every interaction.&amp;nbsp;Easyence enables personalization and consistent customer experiences. Know more about our Saas products • Easyence Data Platform : collect and unify your customers&#39; events across every platform, online and off line channels including store&#39;s interactions, combine customer knowledge &amp; product appeal in order to&amp;nbsp;maximise&amp;nbsp;customer value and level up your organization • Easyence Audience App :&amp;nbsp;build audiences and create campaigns, measure your uplift without relying on other teams. • Easyence E-Merchandising App : expose the right product to the right customer at the right time. • Easyence Attribution App : unify your customer’s touch points across all platforms and channels. Understand your customer journey and design a valuable&amp;nbsp;media plan • Easyence Insight App: measure and analyze the value generated by omnicanality to understand consumers’ behaviors.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 2
**How Do G2 Users Rate Easyence?**

- **Predictive Modeling:** 10.0/10 (Category avg: 8.0/10)
- **Data Enrichment:** 8.3/10 (Category avg: 8.6/10)
- **Expandability:** 8.3/10 (Category avg: 8.6/10)

**Who Is the Company Behind Easyence?**

- **Seller:** [Easyence](https://www.g2.com/sellers/easyence)
- **HQ Location:** Paris, FR
- **LinkedIn® Page:** https://www.linkedin.com/company/easyence/ (5 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Mid-Market


#### What Are Easyence's Pros and Cons?

**Pros:**

- Customer Satisfaction (1 reviews)
- Data Segmentation (1 reviews)
- Easy Integration (1 reviews)
- Easy Integrations (1 reviews)
- Integrations (1 reviews)

**Cons:**

- Customization Difficulty (1 reviews)
- Design Limitations (1 reviews)
- Difficulty (1 reviews)
- Limited Customization (1 reviews)
- Limited Features (1 reviews)

### 7. [HelloGuru](https://www.g2.com/products/helloguru-helloguru/reviews)
  HelloGuru is the easiest way to sync product and customer data from any source to your preferred destinations, such as CRMs and marketing tools. Eliminating the need to write SQL or custom scripts, Revenue Operations teams can use HelloGuru to create data syncs that keep their GTM teams up to date with the most recent product and customer data.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 3
**How Do G2 Users Rate HelloGuru?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10)

**Who Is the Company Behind HelloGuru?**

- **Seller:** [HelloGuru](https://www.g2.com/sellers/helloguru)
- **Year Founded:** 2019
- **HQ Location:** Boston, US
- **Twitter:** @Helloguru_io (1,766 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/helloguru-no-code (1 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 67% Small-Business, 33% Mid-Market


### 8. [imagino](https://www.g2.com/products/imagino/reviews)
  imagino is a leading Data-First AI-Powered Customer Engagement Platform that combines live governed data, built-in AI orchestration, and flexible model choice, creating the foundation for smarter, more adaptive customer experiences. End-to-end customer engagement in one single, scalable platform - designed to transform how brands engage with their customers We’ve created two solutions—one to power your outbound marketing across every channel, and another to bring real-time intelligence to your inbound and frontline experiences assisted by embedded intelligent agents that build, drive and optimize your customer engagement. Our solution combines the data integration strengths of Customer Data Platforms (CDPs) with the activation capabilities of an Engagement Platform, offering a seamless, scalable solution with no-data-movement onboarding, AI-driven personalisation, and advanced journey orchestration. imagino is trusted by leading brands including: Clarins, Club Med, Vertu Motors, and Hachette Livre.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 3
**How Do G2 Users Rate imagino?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10)
- **Data Enrichment:** 10.0/10 (Category avg: 8.6/10)
- **Expandability:** 10.0/10 (Category avg: 8.6/10)

**Who Is the Company Behind imagino?**

- **Seller:** [imagino](https://www.g2.com/sellers/imagino)
- **Company Website:** https://imagino.com/
- **Year Founded:** 2017
- **HQ Location:** Cachan, FR
- **LinkedIn® Page:** https://www.linkedin.com/company/imagino-software (58 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 67% Mid-Market, 33% Enterprise


#### What Are imagino's Pros and Cons?

**Pros:**

- User-Friendly (2 reviews)
- Contact Management (1 reviews)
- Customer Engagement (1 reviews)
- Customer Support (1 reviews)
- Ease of Use (1 reviews)

**Cons:**

- Bugs (2 reviews)
- API Issues (1 reviews)
- Error Issues (1 reviews)
- Missing Features (1 reviews)
- Poor Support (1 reviews)

### 9. [Leal 360](https://www.g2.com/products/leal-360/reviews)
  Leal 360: Simple, Smart, and Powerful Retail Marketing powered by AI decisioning Leal 360 makes it easy for marketing teams to build better relationships with customers. From one platform, you can capture data, segment your audience, send personalized messages (SMS, Email, WhatsApp), and create loyalty programs—all powered by AI. No need for complex setups or third-party tools. Leal 360 is built for retail teams that want to move fast, drive results, and focus on the customer. Whether you&#39;re a marketer or operator, Leal 360 helps you do more with less—and grow smarter.


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 4
**How Do G2 Users Rate Leal 360?**

- **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 9.0/10)
- **Predictive Modeling:** 8.3/10 (Category avg: 8.0/10)
- **Data Enrichment:** 6.7/10 (Category avg: 8.6/10)
- **Expandability:** 6.7/10 (Category avg: 8.6/10)

**Who Is the Company Behind Leal 360?**

- **Seller:** [Leal](https://www.g2.com/sellers/leal)
- **Year Founded:** 2016
- **HQ Location:** Bogota, CO
- **LinkedIn® Page:** https://www.linkedin.com/company/leal/ (299 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 75% Mid-Market, 25% Small-Business


#### What Are Leal 360's Pros and Cons?

**Pros:**

- Data Segmentation (2 reviews)
- Ease of Use (2 reviews)
- Campaign Management (1 reviews)
- Customer Engagement (1 reviews)
- Easy Creation (1 reviews)

**Cons:**

- Difficult Setup (1 reviews)
- Expensive (1 reviews)
- Integration Issues (1 reviews)
- Learning Curve (1 reviews)
- Limited Payment Options (1 reviews)

### 10. [MSIGHTS](https://www.g2.com/products/msights/reviews)
  MSIGHTS has been supporting marketing teams for 17+ years in helping to make their data great for reporting and analysis. Our Platform, a 2019 MarTech Breakthrough Awards winner for &quot;Best Overall Marketing Campaign Management Solution&quot;, helps across these critical areas: \* Automate the collection, integration, and transformation of all your marketing results sources -- digital, social, search, offline, lead gen, direct mail, media plans, and sales (plus more) -- into reporting-ready datasets. \* Streamline marketing analysis with harmonized datasets specifically designed for results analysis, optimization, attribution, MMM, as well as datasets that feed back into your data lake. Go beyond fields from just your taxonomy with MSIGHTS&#39; robust data schema. \* Build detailed reporting views and executive dashboards using MSIGHTS&#39; free cloud reporting platform or connect from your own visualization tool like Tableau, Excel, Domo, or Looker (to name a few).


  **Average Rating:** 3.8/5.0
  **Total Reviews:** 5
**How Do G2 Users Rate MSIGHTS?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Predictive Modeling:** 8.3/10 (Category avg: 8.0/10)
- **Data Enrichment:** 6.7/10 (Category avg: 8.6/10)
- **Expandability:** 6.7/10 (Category avg: 8.6/10)

**Who Is the Company Behind MSIGHTS?**

- **Seller:** [MSIGHTS](https://www.g2.com/sellers/msights)
- **Year Founded:** 2004
- **HQ Location:** Charlotte, US
- **Twitter:** @msights (225 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/msights-inc-/ (42 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 50% Enterprise, 33% Small-Business


#### What Are MSIGHTS's Pros and Cons?

**Pros:**

- Analytics Expertise (2 reviews)
- Analytics (1 reviews)
- Automation (1 reviews)
- Business Support (1 reviews)
- Communication (1 reviews)

**Cons:**

- Dashboard Usability (1 reviews)
- Data Inaccuracy (1 reviews)
- Integration Issues (1 reviews)
- Lack of Customization (1 reviews)
- Lack of Integrations (1 reviews)

### 11. [omniTrust](https://www.g2.com/products/omnitrust/reviews)
  Data privacy and consent management platform done right. Your business operating system for data privacy. One platform to automate data privacy compliance with no monthly fees. Manage customer Preferences, Consent and Permissions omniTrust is Omnibasis&#39;s consent management platform that enables businesses and professionals, large and small, to protect customer personal data. Using omniTrust, we enable businesses with the technology and tools to deploy cloud-based permission, consent and preferences management, without the costs and challenges associated with building and maintaining their own infrastructure and compliance management. omniTrust is the largest data privacy management technology platform used by customers around the world to comply with data privacy regulations across sectors and jurisdictions, including the EU GDPR, ePrivacy (Cookie Law), California Consumer Privacy Act (CCPA) and doing a right thing for the customer. Unleash the power and capabilities of a data privacy and consent management platform with Omnibasis. omniTrust data privacy and consent management platform is a tool that helps organizations comply with privacy regulations and manage user consent preferences with key features and capabilities. Consent collection and management omniTrust platform provides a way for organizations to collect and manage user consent preferences for data processing activities. Privacy policy management omniTrust platform allows organizations to create, manage, and update their privacy policies to comply with privacy regulations. Data subject access requests omniTrust platform provides a mechanism for individuals to exercise their rights under privacy regulations, including the right to access, correct, and delete their personal data. Data inventory and mapping omniTrust platform provides a way for organizations to identify and track the personal data they collect, process, and store. Risk assessments and DPIAs omniTrust platform provides tools for conducting data protection impact assessments (DPIAs) and risk assessments to identify and mitigate privacy risks. Data breach management omniTrust platform provides tools for detecting, reporting, and managing data breaches in compliance with regulatory requirements. Audit trails and reporting omniTrust platform provides an audit trail of consent activities and other data processing activities to support compliance and reporting requirements. Integration omniTrust platform is integrated with other Omnibasis products, such as omniCustomers customer relationship management (CRM) and omniMarketer marketing automation tools, to ensure that consent preferences are respected across all systems. Multilingual support omniTrust platform supports multiple languages to ensure that users can read and understand privacy policies and consent requests in their preferred language. User-friendly interface omniTrust platform comes with a user-friendly interface that makes it easy for organizations to manage privacy and consent activities, and for users to understand and manage their consent preferences. omniTrust is full featured Data Privacy and Consent Management Platform to build and grow your business with no monthly fees. Start with omniTrust FREE today.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 2
**How Do G2 Users Rate omniTrust?**

- **Data Enrichment:** 8.3/10 (Category avg: 8.6/10)
- **Expandability:** 8.3/10 (Category avg: 8.6/10)

**Who Is the Company Behind omniTrust?**

- **Seller:** [Omnibasis Inc.](https://www.g2.com/sellers/omnibasis-inc)
- **HQ Location:** N/A
- **Twitter:** @omnibasisinc (23 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 50% Enterprise, 50% Mid-Market


### 12. [Oracle Unity Customer Data Platform](https://www.g2.com/products/oracle-unity-customer-data-platform/reviews)
  Oracle Unity brings together online, offline, and third-party customer data sources to create a single, dynamic view of the customer. With built-in artificial intelligence (AI) and machine learning, Oracle Unity derives and delivers timely intelligence about your customers so you can optimize their brand experience across marketing, sales, and service.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 2
**How Do G2 Users Rate Oracle Unity Customer Data Platform?**

- **Predictive Modeling:** 5.0/10 (Category avg: 8.0/10)
- **Data Enrichment:** 6.7/10 (Category avg: 8.6/10)
- **Expandability:** 6.7/10 (Category avg: 8.6/10)

**Who Is the Company Behind Oracle Unity Customer Data Platform?**

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle (828,755 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (199,301 employees on LinkedIn®)
- **Ownership:** NYSE:ORCL

**Who Uses This Product?**
  - **Company Size:** 50% Small-Business, 50% Enterprise


#### What Are Oracle Unity Customer Data Platform's Pros and Cons?


**Cons:**

- Slow Loading (1 reviews)

### 13. [Peliqan](https://www.g2.com/products/peliqan/reviews)
  Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort, Peliqan enables both business users and technical teams to connect, manage, and activate their data in one collaborative environment - without requiring a dedicated data engineer. With 250+ built-in connectors, Peliqan connects to databases, SaaS business applications (ERP, CRM, Accounting, HRM/ATS etc.), cloud storage, files and APIs as well as on-prem data sources. New connectors are available on demand within 5 business days. Peliqan offers one-click ELT pipelines to the built-in data warehouse, or you can bring your own data warehouse. Peliqan supports all major data warehouses. Thanks to Peliqan’s Excel add-in, business users and consultants can work with real-time data in Excel. Analysts and power users can use Peliqan’s advanced SQL editor with the support of an AI assistant to transform data and prepare business-ready data sets, which can be used in any BI tool such as Microsoft Power BI, Metabase, Tableau, Qlik, Looker etc. Users can also set up Reverse ETL flows. Developers can go even further with Peliqan’s low-code environment, with a built-in virtual AI Data Engineer, where they can: - Build &amp; Publish interactive data apps - Automate writebacks into source systems - Publish API endpoints for data sharing - Implement custom pipelines - Build out internal AI Agents By empowering business users, analysts, consultants and developers, Peliqan dramatically reduces reliance on IT support and speeds up decision-making. Peliqan is not just an ELT data pipeline tool, it’s a complete solution for data orchestration, automation, and activation. Peliqan also acts as the data foundation for Agentic AI, ensuring that AI agents work with trusted, up-to-date 360° views of customers, products, orders, and more - at the speed of a cloud data warehouse. Peliqan’s data warehouse provides an AI-ready data layer out-of-the-box including: - Automatic vectorizing of structured and non-structured data for RAG (Retrieval-Augmented Generation) - Text-to-SQL - MCP Gateway In today’s landscape, a data warehouse is no longer just for BI - it’s the foundation for both BI and AI. With Peliqan.io, organizations can integrate, analyze, and activate their data seamlessly, empowering both humans and AI agents to make smarter, faster decisions.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 74
**How Do G2 Users Rate Peliqan?**

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.0/10)

**Who Is the Company Behind Peliqan?**

- **Seller:** [Peliqan](https://www.g2.com/sellers/peliqan)
- **Company Website:** https://peliqan.io
- **Year Founded:** 2022
- **HQ Location:** Gent
- **Twitter:** @Peliqan_io (9 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/peliqan-data (27 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 45% Mid-Market, 44% Small-Business


#### What Are Peliqan's Pros and Cons?

**Pros:**

- Ease of Use (45 reviews)
- Integrations (43 reviews)
- Easy Integrations (37 reviews)
- Connectors (36 reviews)
- Data Management (36 reviews)

**Cons:**

- Learning Difficulty (18 reviews)
- Required Technical Skills (12 reviews)
- Feature Limitations (10 reviews)
- Learning Curve (10 reviews)
- Steep Learning Curve (9 reviews)

### 14. [Social Hub.AI](https://www.g2.com/products/social-hub-ai/reviews)
  Based on innovative technologies such as Cloud- Native, LLM and Web3, the integrated design of CRM, CDP and MA is adopted to help brands build Omni-channel consumer operation capabilities.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 11
**How Do G2 Users Rate Social Hub.AI?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Predictive Modeling:** 8.3/10 (Category avg: 8.0/10)
- **Data Enrichment:** 8.3/10 (Category avg: 8.6/10)
- **Expandability:** 9.2/10 (Category avg: 8.6/10)

**Who Is the Company Behind Social Hub.AI?**

- **Seller:** [Techsun](https://www.g2.com/sellers/techsun)
- **Year Founded:** 2000
- **HQ Location:** Singapore, SG
- **LinkedIn® Page:** https://www.linkedin.com/company/techsun-inc/ (14 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 73% Small-Business, 27% Mid-Market


#### What Are Social Hub.AI's Pros and Cons?

**Pros:**

- AI Technology (1 reviews)
- Customer Engagement (1 reviews)
- Helpful (1 reviews)
- Personalization (1 reviews)
- Personalization Services (1 reviews)

**Cons:**

- Poor Customer Support (1 reviews)
- Poor Support (1 reviews)

### 15. [Splio](https://www.g2.com/products/splio/reviews)
  Splio is one of the first French marketing technology scale-ups to evolve its CRM from SaaS to an AI-first model with over 30% of annual recurring revenue (ARR) coming from AI. Based in Paris, the company has 180 employees across four offices in Europe and the MEA region (Middle East and Africa). As conversation is set to become the new digital default, CRM must keep pace with the speed of agentic commerce without losing what sets it apart: a personalized relationship that creates value. Splio’s vision is CRM where prediction becomes the foundation of personalization at scale, on the brand’s channels as well as in new third-party conversational spaces. Splio offers brands an AI-first CRM powered by Tinyclues AI, enhanced with generative and agentic capabilities in addition to predictive AI, to orchestrate personalized customer marketing at scale across all their channels (email, SMS, RCS, WhatsApp...). Splio also includes Ask My CRM, an intelligent copilot agent that makes customer knowledge easier to access, detects opportunities, and recommends practical actions daily. Already adopted by over 500 companies (retail, telecom, tourism, transportation...) in Europe and MEA, Splio is used daily by brands such as Air France, Fnac Darty, Pierre Hermé, SNCF Connect, KIABI, Cyrillus, APC, Izak, SAMSUNG and Orange.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 10
**How Do G2 Users Rate Splio?**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.0/10)
- **Predictive Modeling:** 10.0/10 (Category avg: 8.0/10)
- **Data Enrichment:** 10.0/10 (Category avg: 8.6/10)
- **Expandability:** 10.0/10 (Category avg: 8.6/10)

**Who Is the Company Behind Splio?**

- **Seller:** [Splio](https://www.g2.com/sellers/splio)
- **Year Founded:** 2001
- **HQ Location:** Paris, France
- **LinkedIn® Page:** https://www.linkedin.com/company/800821 (172 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 60% Small-Business, 30% Enterprise


#### What Are Splio's Pros and Cons?

**Pros:**

- AI Technology (2 reviews)
- Automation (2 reviews)
- Automation Efficiency (2 reviews)
- Customer Support (2 reviews)
- Ease of Use (2 reviews)

**Cons:**

- Data Accessibility (1 reviews)
- Expensive (1 reviews)
- Integration Difficulties (1 reviews)
- Integration Issues (1 reviews)
- Lack of Integrations (1 reviews)

### 16. [Stibo Systems MDM](https://www.g2.com/products/stibo-systems-mdm/reviews)
  Stibo Systems offers the most reliable, robust and flexible enterprise-level master data management (MDM) capabilities powered by AI, providing companies with the trustworthy data they need to drive growth, efficiency and transformation. Our MDM solutions include modern, domain-specific cloud services that are ready-to-integrate and backed by Stibo Systems’ commitment to innovation and sustainability. While most enterprises possess significant amounts of data, what they often lack is true clarity. Data is dispersed across a variety of systems, teams, regions and formats, leading to multiple versions that each tell a slightly different story. This inconsistency becomes apparent throughout the organization in everything from delayed product launches and compliance gaps to unreliable reporting, underperforming digital channels, and fragmented customer and supplier experiences. The core issue is not simply accessing data but rather having confidence in its accuracy and reliability. Stibo Systems provides specialized, high-quality MDM solutions that help enterprise businesses harness the full potential of their data – enabling them to scale, adapt and uncover new opportunities without constraints. We are committed to robust, secure and tested solutions and have a focus on long-term business success and environmental, social and governance (ESG) goals. Stibo Systems Platform – also known as STEP by our customers – is a highly flexible SaaS platform that offers best-in-class, enterprise-level MDM capabilities, powered by AI. It enables management of a range of multidomain data assets – from customer and product master data to other critical data – all on the same platform. This single source of truth gives you a consistent view of data, ensuring the reliability and scalability you need to adapt to changing business needs. Fully integrated data management software solutions We offer a complete range of MDM solutions that empower organizations to address their unique business challenges. • Product Experience Data Cloud manages the onboarding, enrichment, governance and distribution of product data across channels, regions and markets, with AI-assisted capabilities to automate content generation and reduce manual effort. • Customer Experience Data Cloud establishes a unified, trusted view of customer data, supporting personalization, segmentation, consent management and data quality across customer touch points. • Business Partner Data Cloud delivers clarity into complex partner hierarchies, relationships and attributes within ecosystem-driven business models. • Supplier Data Cloud centralizes supplier information to support onboarding, governance, risk monitoring, and transparency across global supply chains. • Location Data Cloud standardizes and governs location-based data used in operations, marketing, logistics and asset management. • Sustainability Data Cloud connects enterprise master data with sustainability and ESG metrics to support regulatory reporting, transparency requirements, and long-term environmental initiatives. AI and agentic workflows Stibo Systems provides the clean, consistent and governed data that AI and agentic workflows require to deliver accurate, unbiased and explainable outcomes. AI capabilities and tools are also embedded in Stibo Systems’ MDM solutions. Generative AI tools, data matching and merging, data quality enrichment, and anomaly detection reduce time to market and risk. MDM ensures that AI has the right data to learn from, while AI continuously improves the quality and efficiency of MDM processes. This creates a resilient data ecosystem where both systems reinforce each other. Recent recognition In Q2 2025, Stibo Systems was recognized as a Leader in The Forrester Wave™ for Master Data Management Solutions, reflecting its ability to support complex, large-scale, multidomain data initiatives. For organizations asking a simple but critical question – Can we trust the data driving our decisions? – Stibo Systems provides the structure and the governance needed to move from fragmented information to confident, outcome-driven execution.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 16
**How Do G2 Users Rate Stibo Systems MDM?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)

**Who Is the Company Behind Stibo Systems MDM?**

- **Seller:** [Stibo Systems](https://www.g2.com/sellers/stibo-systems)
- **Year Founded:** 1976
- **HQ Location:** Hojbjerg, Denmark
- **Twitter:** @StiboSystems (2,220 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/12573/ (840 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 59% Enterprise, 29% Mid-Market


### 17. [SuperAGI Marketing (formerly Contlo)](https://www.g2.com/products/contlo-marketing/reviews)
  Contlo is a leading generative AI native marketing platform to drive autonomous customer engagements via omnichannel campaigns, real-time generative customer journeys, AI-powered segmentation for one-to-one hyper-personalization, and actionable insights about your customer behavior. Built for the AI-first world - Contlo enables modern businesses to leverage AI to orchestrate their end-to-end marketing. The platform helps brands increase customer lifetime value, boost customer engagements, and deliver a hyper-personalized experience to retain their most valuable customers. 1000s of fast-growing businesses trust Contlo to boost their sales by engaging loyal customers and making faster data-driven decisions throughout their customer lifecycle. Enabling them to measure and optimize individual customer experiences with the help of: 👉 Autonomous personalized campaigns for every customer touchpoint: Effortlessly engage your customers with AI-powered autonomous campaigns across all major marketing channels like Email, SMS, WhatsApp, Web Push, Mobile Push, Facebook &amp; Instagram. 👉 Real-time generative customer journeys powered by LLMs: Goodbye templatized automation flows! Let AI build the most optimal customer engagement workflows &amp; customer journeys based on their recent interactions to maximize your ROI. 👉&amp;nbsp;Generate Customer Segments for One-to-One Personalization using AI: Orchestrate highly personalized and targeted customer interactions based on behavioral data, demographics &amp; recent actions on the website. 👉&amp;nbsp;LLM generated insights, analytics &amp; autonomous reporting: Get granular visibility of your customer behavior, campaign performance, and overall business intelligence along with AI-generated insights, recommendations, and autonomous reporting. 👉 Autonomous customer engagement, LLM powered chatbots &amp; a unified conversation inbox: Deliver a seamless brand experience to your customers via chat across Facebook/Instagram/WhatsApp and make phone calls directly from a single dashboard. Contlo seamlessly integrates with 200+ platforms to help brands build a powerful autonomous marketing tech stack around their business. For more information, visit contlo.com or schedule a 1:1 personalized demo with us: https://contlo.com/get-in-touch/?ref=g2


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 8
**How Do G2 Users Rate SuperAGI Marketing (formerly Contlo)?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)

**Who Is the Company Behind SuperAGI Marketing (formerly Contlo)?**

- **Seller:** [Contlo](https://www.g2.com/sellers/contlo-1c46fdcf-b2bf-43a7-95d6-c243ce94263b)
- **HQ Location:** Newark DE, US
- **Twitter:** @ContloHQ (300 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/79947820 (36 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Apparel &amp; Fashion, Consumer Goods
  - **Company Size:** 38% Mid-Market, 38% Small-Business


#### What Are SuperAGI Marketing (formerly Contlo)'s Pros and Cons?

**Pros:**

- Helpful (5 reviews)
- Customer Support (4 reviews)
- Ease of Use (4 reviews)
- Features (3 reviews)
- AI Technology (2 reviews)

**Cons:**

- Slow Performance (3 reviews)
- Delay Issues (2 reviews)
- Delays (2 reviews)
- Time-Consuming (2 reviews)
- Time Delays (2 reviews)

### 18. [V12 Velocity](https://www.g2.com/products/v12-velocity/reviews)
  The V12 CDP harnesses the power of each of these data sources and blends it with our suite of industry-leading 3rd party data assets to create one single version of the customer truth. Get to know your customers like never before and develop actionable insights to deploy unified customer journeys, wherever and whenever your customers prefer


  **Average Rating:** 2.3/5.0
  **Total Reviews:** 2
**How Do G2 Users Rate V12 Velocity?**

- **Predictive Modeling:** 6.7/10 (Category avg: 8.0/10)
- **Data Enrichment:** 6.7/10 (Category avg: 8.6/10)
- **Expandability:** 6.7/10 (Category avg: 8.6/10)

**Who Is the Company Behind V12 Velocity?**

- **Seller:** [V12 Data](https://www.g2.com/sellers/v12-data)
- **Year Founded:** 1999
- **HQ Location:** Matawan, NJ
- **LinkedIn® Page:** https://www.linkedin.com/company/v12data/ (100 employees on LinkedIn®)
- **Phone:** +1 (732) 842-1001

**Who Uses This Product?**
  - **Company Size:** 50% Enterprise, 50% Small-Business


### 19. [Aampe Agentic Infrastructure](https://www.g2.com/products/aampe-agentic-infrastructure/reviews)
  Aampe&#39;s Agentic CDP is the most efficient and effective way to put your data to use to achieve your business goals. Just like a standard CDP, Aampe collects, unifies, and activates your data to your downstream tools, but that&#39;s just the beginning. Aampe then applies a reinforcement learning/multi-armed bandit infrastructure on your data to discover and act on deep patterns within your data — orchestrating and sending multi-channel messaging, building unique real-time product experiences, improving product and content recommendations and more, to improve key business metrics, such as engagement, conversions, retention, and data generation. Here&#39;s how Aampe works: 1. Uses APIs and a custom reverse ELT process to ingest data from your various data sources (including data warehouses, CRM systems, content management systems, and more) 2. Combines the data mentioned above with data generated from semantically-tagged messaging 3. Runs various propensity models on this data to understand each individual user&#39;s propensity to purchase, view, subscribe, churn, etc. 4. Uses these user-level patterns and propensities to determine user-level messaging frequency, timing, tone, channel, and content preferences, as well as driving content recommendations for search, recommender, and chat applications. 5. Executes the individual user-level strategies determined in step 4, continuously adapting based on new information gained from additional user behavior and interactions. Using Aampe&#39;s reinforcement learning infrastructure, teams that use Aampe spend less time building manual segments and customer journeys, and more time identifying and executing new experiments and experiences for their users. Aampe was founded in 2020 and is a completely remote company with employees in over 10 different countries around the world.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Aampe Agentic Infrastructure?**

- **Predictive Modeling:** 10.0/10 (Category avg: 8.0/10)
- **Data Enrichment:** 8.3/10 (Category avg: 8.6/10)
- **Expandability:** 8.3/10 (Category avg: 8.6/10)

**Who Is the Company Behind Aampe Agentic Infrastructure?**

- **Seller:** [Aampe](https://www.g2.com/sellers/aampe)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/aampe (19 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Mid-Market


### 20. [Able CDP](https://www.g2.com/products/able-cdp/reviews)
  Able CDP is a next-generation customer data platform that helps businesses track complete customer journeys, attribute revenue accurately, and optimize marketing performance across channels. It unifies first-party website tracking with server-side conversion data, automatically associating ad clicks, form submissions, and purchase events into a single customer view. Able then sends reliable conversion data to analytics and ad platforms like Google Analytics 4, Google Ads, Meta (Facebook) Conversions API, and more — enabling marketers to see where sales truly come from and improve ROI. With easy setup, built-in attribution reporting, and integrations with CRMs, payment systems (e.g., Stripe), e-commerce, and BI tools, Able CDP equips teams with actionable insights to make data-driven decisions quickly.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Able CDP?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10)
- **Expandability:** 10.0/10 (Category avg: 8.6/10)

**Who Is the Company Behind Able CDP?**

- **Seller:** [Able CDP](https://www.g2.com/sellers/able-cdp)
- **Year Founded:** 2020
- **HQ Location:** Liverpool Street, GB
- **LinkedIn® Page:** https://www.linkedin.com/company/ablecdp/ (1 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Small-Business


#### What Are Able CDP's Pros and Cons?

**Pros:**

- Automation Efficiency (1 reviews)
- Easy Integration (1 reviews)
- Easy Setup (1 reviews)


### 21. [ActiveDEMAND](https://www.g2.com/products/activedemand/reviews)
  ActiveDEMAND is a flexible marketing automation platform for digital marketing agencies, senior living providers, and marketers. ActiveDEMAND packages range from the full-featured call tracking application, a Reporter package for great analytics, a well-rounded offering for small business marketers, all the way up to powerful Marketing solutions designed for digital marketing agencies with multi-client management needs. Engage and track prospects using the integrated, comprehensive call tracking module, do more with built-in email templates, landing pages and social media. Convert leads and prospects into customers using automated marketing to manage nurture campaigns, auto-replies and more. Retain customers and grow your repeat businesses with powerful newsletters, special promotions and more.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 67
**How Do G2 Users Rate ActiveDEMAND?**

- **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.0/10)

**Who Is the Company Behind ActiveDEMAND?**

- **Seller:** [JumpDEMAND](https://www.g2.com/sellers/jumpdemand)
- **Year Founded:** 2012
- **HQ Location:** Calgary, Alberta
- **Twitter:** @ActiveDEMAND (3,137 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2764583/ (27 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Marketing and Advertising, Information Technology and Services
  - **Company Size:** 81% Small-Business, 15% Mid-Market


#### What Are ActiveDEMAND's Pros and Cons?

**Pros:**

- Analytics (1 reviews)
- Customer Support (1 reviews)
- Customizability (1 reviews)
- Customization (1 reviews)
- Easy Implementation (1 reviews)

**Cons:**

- Learning Curve (1 reviews)
- Limited Functionality (1 reviews)
- Limited Integration (1 reviews)
- Limited Integrations (1 reviews)
- Steep Learning Curve (1 reviews)

### 22. [Agent3 Intent](https://www.g2.com/products/agent3-intent/reviews)
  The insight3 platform from agent3 is a powerful, account-focused tool that delivers automated customer insights to create commercial advantage for both marketing and sales teams. - Real-time insight on target customer contacts – support new and existing relationship development activities - Continuous mapping of customer insights to your portfolio – engage customers by delivering the right content, at the right time -Constant flow of account insights – build historical trend analysis and guidance on future strategic and commercial direction by account - NEW: buyer intent monitoring and alerts – see exactly which topics, solutions and vendors your clients and prospects are researching


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Agent3 Intent?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)

**Who Is the Company Behind Agent3 Intent?**

- **Seller:** [agent3](https://www.g2.com/sellers/agent3)
- **Year Founded:** 2013
- **HQ Location:** London, England, United Kingdom
- **Twitter:** @weareagent3 (681 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/agent3 (76 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Enterprise


### 23. [Appier AIXON](https://www.g2.com/products/appier-aixon/reviews)
  AIXON is a data science platform that unifies and enriches existing customer data to help you better understand your audience and run AI models to easily predict their future actions. Streamline Your Data From Different Sources AIXON creates a 360-degree view of your audience by unifying data across all platforms like apps, websites and CRM, and enriches your audience profiles with Appier’s unique cross-screen technology. Predict Customers&#39; Future Actions in Real Time Powered by the scenario-based prediction with Auto-ML models, AIXON allows you to predict specific actions of your audience in real time, from conversions to churn and even the likelihood of users visiting a certain webpage. Generate Actionable Insights With Explainable AI AIXON’s explainable AI enables our customers to understand the rationale of our AI-driven decisions. AIXON is capable of textually and visually showing the most important variables to describe why certain decisions are made. The ability to explain the factors underlying the AI’s analysis is key to fostering trust in Appier’s AI technology, and avoid it being viewed as a mere “black box.&quot; Achieve Seamless Customer Engagement AIXON seamlessly integrates with your existing owned and paid channels, allowing you to amplify omnichannel marketing on AI-powered insights and ensure optimum customer experience. Boost Conversions With RFM AIXON automatically configures your audience segments into three most critical dimensions of attributes, RFM (Recency, Frequency, and Monetary), to help you better understand customer intent and take targeted actions to realize customers’ full profit potential.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 2
**How Do G2 Users Rate Appier AIXON?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10)
- **Predictive Modeling:** 10.0/10 (Category avg: 8.0/10)
- **Data Enrichment:** 10.0/10 (Category avg: 8.6/10)
- **Expandability:** 10.0/10 (Category avg: 8.6/10)

**Who Is the Company Behind Appier AIXON?**

- **Seller:** [Appier](https://www.g2.com/sellers/appier)
- **Year Founded:** 2012
- **HQ Location:** Taipei, Taiwan
- **Twitter:** @GoAppier (1,230 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/appier/ (864 employees on LinkedIn®)
- **Ownership:** TYO: 4180

**Who Uses This Product?**
  - **Company Size:** 100% Mid-Market


### 24. [CData Virtuality](https://www.g2.com/products/cdata-virtuality/reviews)
  CData Virtuality - Data Virtualization for Flexible Data Architectures By uniquely combining data virtualization and physical data replication, CData Virtuality provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data governance features that are indispensable for these frameworks. Enterprises around the world, such as BSH, PGGM, PartnerRe or Crédit Agricole use CData Virtuality to build modern data architectures that meet today’s and tomorrow’s business requirements. Imprint: https://www.cdata.com/company/legal/impressum/ Privacy notice: https://www.cdata.com/company/legal/privacy/


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 20
**How Do G2 Users Rate CData Virtuality?**

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.0/10)
- **Predictive Modeling:** 10.0/10 (Category avg: 8.0/10)
- **Data Enrichment:** 10.0/10 (Category avg: 8.6/10)
- **Expandability:** 10.0/10 (Category avg: 8.6/10)

**Who Is the Company Behind CData Virtuality?**

- **Seller:** [CData](https://www.g2.com/sellers/cdata)
- **Year Founded:** 2014
- **HQ Location:** Chapel Hill, NC
- **Twitter:** @cdatasoftware (2,004 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/cdatasoftware/ (496 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 65% Mid-Market, 35% Small-Business


### 25. [Cohorts AI](https://www.g2.com/products/cohorts-ai/reviews)
  An intelligent customer segmentation and behavioral analysis AI that transforms how you understand and engage with your customers. Cohorts AI identifies the “range” of usage patterns customers generate when using software and maps each customer’s journey through your product, revealing the usage patterns that define adoption and growth from tens of billions of telemetry events. The enriched view of customers’ usage is then indexed by business KPIs such as ARR, Net Dollar Retention (NDR) and Support Effort to advance or control product adoption that drives “Cohort shift”. Cohorts AI empowers Product Management, Marketing &amp; GTM StratOps to understand the true range of usage and how best to lead customers through product adoption. This allows leaders to pinpoint friction, drive feature adoption, and position the right feature or action at the right time. By connecting usage behavior with business outcomes, Cohorts AI enables teams to take action at scale through the full lifecycle of product adoption and usage.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Cohorts AI?**

- **Predictive Modeling:** 10.0/10 (Category avg: 8.0/10)
- **Expandability:** 8.3/10 (Category avg: 8.6/10)

**Who Is the Company Behind Cohorts AI?**

- **Seller:** [QuadSci](https://www.g2.com/sellers/quadsci)
- **HQ Location:** New York
- **LinkedIn® Page:** https://www.linkedin.com/company/quadsci-ai/ (1 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Enterprise


#### What Are Cohorts AI's Pros and Cons?

**Pros:**

- Customer Support (1 reviews)
- Data Segmentation (1 reviews)
- Easy Integration (1 reviews)
- Journey Creation (1 reviews)

**Cons:**

- Tracking Limitations (1 reviews)


    ## What Is Customer Data Platforms (CDP)?
  [Marketing Software](https://www.g2.com/categories/marketing)
  ## What Software Categories Are Similar to Customer Data Platforms (CDP)?
    - [Marketing Automation Software](https://www.g2.com/categories/marketing-automation)
    - [Customer Journey Analytics Software](https://www.g2.com/categories/customer-journey-analytics)
    - [Personalization Software](https://www.g2.com/categories/personalization)

  
---

## How Do You Choose the Right Customer Data Platforms (CDP)?

### What You Should Know About Customer Data Platform (CDP) Software

### Customer data platforms buying insights at a glance

[Customer data platforms (CDPs)](https://www.g2.com/categories/customer-data-platform-cdp) help businesses collect, unify, and activate customer data across marketing, sales, service, and analytics functions. CDPs enable centralized customer data management, audience segmentation, real-time engagement, and analytics-driven personalization.

Organizations primarily use customer data platforms to create unified customer profiles, break down data silos, automate customer journeys, and deliver personalized marketing experiences across channels like email, SMS, digital ads, and ecommerce platforms.

Most cdp software follows tiered pricing models based on data volume, number of customer profiles, or usage. Entry-level CDPs typically start at $1,000 to $3,000 per month for core functionality, while mid-market to enterprise solutions range from $5,000 to $20,000 or more per month depending on advanced features, scalability, and support.

If you’re evaluating CDP software, consider your organization’s data complexity, integration needs, pricing flexibility, feature depth, ease of use, and vendor support quality. Essential questions include:

- What is included in your pricing tiers, and how does pricing scale with data growth?
- What onboarding, training, and customer success resources do you provide?
- What pre-built integrations and API capabilities are available?
- How responsive is the vendor’s customer support and technical assistance?
- Does the CDP offer real-time engagement, personalization, or AI-driven recommendations?

G2&#39;s top-rated Customer data platforms currently include Insider, Bloomreach, WebEngage, Fullstory, and Planhat.

According to G2’s Customer Data Statistics, 94% of business leaders say understanding customer needs is essential to delivering personalized experiences, and 78% of organizations say data silos are a major challenge—further validating the need for CDPs with specialized capabilities. ([_Source 1_](https://www.g2.com/articles/customer-data-statistics))

### What are customer data platforms?

G2 defines a [customer data platform](https://www.g2.com/categories/customer-data-platform-cdp) as a software system that collects, unifies, and organizes customer data from various sources into a single, centralized database. Its core purpose is to create a real-time, comprehensive view of each customer to help businesses deliver personalized marketing experiences and make data-driven decisions. Unlike traditional databases or marketing tools, CDP software automatically integrates both online and offline data, including first-party data such as website activity, mobile interactions, email engagement, transaction history, and sometimes third-party data from external sources.

Customer data platforms are designed to be used primarily by marketing teams, requiring minimal technical support, and offer the ability to segment customers, track behavior over time, and trigger automated actions based on that behavior. What makes a CDP unique is its ability to continuously update customer profiles as new data becomes available, structuring that information in a way that is actionable, whether for targeting ads, personalizing communications, or analyzing campaign performance.

A CDP is different from a CRM, data warehouse, or [DMP](https://www.g2.com/categories/data-management-platform-dmp). CRMs are generally focused on sales workflows and rely heavily on manual data entry, while CDPs automatically gather and maintain a broader range of behavioral and demographic data. Data warehouses are typically IT-managed systems for storing and querying historical data, lacking the real-time agility and marketing focus defining CDPs. DMPs, on the other hand, are built for advertising and primarily use anonymous third-party data to improve targeting, whereas CDPs focus on identifiable individuals and long-term relationship building.

By pulling together fragmented data from across platforms such as websites, mobile apps, social channels, and offline sources, a CDP empowers marketers to better understand customer journeys, personalize experiences, and drive long-term customer value.

The global customer data platform market is experiencing rapid growth as businesses prioritize unified customer data management and personalized marketing strategies. According to Fortune Business Insights, the CDP market was valued at USD 2.65 billion in 2024 and is projected to grow from USD 3.28 billion in 2025 to USD 12.96 billion by 2032, reflecting a compound annual growth rate (CAGR) of 21.7% during the forecast period. ([_Source 3_](https://www.fortunebusinessinsights.com/industry-reports/customer-data-platform-market-100633))

G2 currently covers 263 CDP products, with 1,521 reviews published in the last 12 months, making it one of the most reviewed and comprehensive software categories on our platform. ([_Source 2_](https://documentation.g2.com/docs/research-scoring-methodologies))

### What are the top reviewed customer data platforms on G2?

G2 scores the top-rated customer data platforms using a [proprietary algorithm](https://documentation.g2.com/docs/research-scoring-methodologies) that evaluates real-user satisfaction ratings and overall popularity based on review data. Here are the five highest-rated CDP products on G2 in this category:

#### 1. [Insider](https://www.g2.com/products/insider/reviews)

- Number of Reviews: 765
- Satisfaction: 100
- Market Presence: 99
- G2 Score: 100

#### 2. [Bloomreach](https://www.g2.com/products/bloomreach-bloomreach/reviews)

- Number of Reviews: 463
- Satisfaction: 76
- Market Presence: 93
- G2 Score: 85

#### 3. [WebEngage](https://www.g2.com/products/webengage/reviews)

- Number of Reviews: 174
- Satisfaction: 84
- Market Presence: 70
- G2 Score: 77

#### 4. [Fullstory](https://www.g2.com/products/fullstory/reviews)

- Number of Reviews: 179
- Satisfaction: 74
- Market Presence: 77
- G2 Score: 75

#### 5. [Planhat](https://www.g2.com/products/planhat/reviews)

- Number of Reviews: 312
- Satisfaction: 79
- Market Presence: 64
- G2 Score: 71

These rankings are determined by combining verified user ratings and publicly available web search popularity data:

- The **Satisfaction Score** measures user satisfaction with software products based on user feedback, review quality, quantity, and recency. It helps buyers easily understand how well a product meets user expectations. ([_Source 2_](https://documentation.g2.com/docs/research-scoring-methodologies))
- The **Market Presence Score** measures a product&#39;s prominence in its market. It combines data from G2 user reviews and external sources, focusing primarily on product-specific factors to reflect real-world popularity and vendor influence. ([_Source 2_](https://documentation.g2.com/docs/research-scoring-methodologies))
- G2 ranks products using a unique scoring system called the **G2 Score** , calculated from real user reviews, online data, and social signals. This score makes it easy to compare and evaluate different software products within each G2 category. ([_Source 2_](https://documentation.g2.com/docs/research-scoring-methodologies))

### Customer data platform pricing and cost considerations

Customer Data Platform (CDP) pricing can vary widely based on vendor offerings, business size, data volume, and the required features. Most CDPs follow a tiered pricing model, with costs typically scaling based on the number of customer profiles, data processed, or additional features like real-time personalization, advanced analytics, or integrations.

According to G2 data, the average annual price per license for CDPs is approximately _$1,294.70_. Pricing generally ranges from a minimum annual price of _$598.80_ per license to a maximum of _$4,272.00_ per license, depending on the product edition and feature set.

Entry-level CDPs for small to mid-sized businesses often start around _$600 to $1,200 per year_ per license. These plans typically include core features such as data collection, customer segmentation, and basic integrations with marketing tools.

Pricing can increase significantly for mid-market and enterprise-grade organizations, with advanced plans reaching _$4,000 or more per year_ per license. Higher pricing reflects support for larger data volumes, additional users, enhanced privacy and compliance features, AI-powered recommendations, and extensive customization options.

Beyond subscription costs, businesses should consider additional fees such as:

- Data storage overages
- Access to premium analytics or reporting modules
- API usage beyond included limits
- Implementation and onboarding services (which may range from several thousand to tens of thousands of dollars)

When evaluating CDP pricing, it’s important to factor in not only the base subscription fees but also the total cost of ownership. This includes internal resource requirements, training, integration complexity, and potential cost savings from replacing multiple disconnected systems with a unified customer data platform.

### Types of customer data providers on G2

The customer data platform market has matured, leading to the emergence of different types of platforms built for specific use cases. While all CDPs collect and unify customer data, they vary in how much functionality they provide beyond data management. Most fall into one of three categories:

- [Multiple Devices CDPs](https://www.g2.com/categories/customer-data-platform-cdp/f/multiple-devices): Multiple Devices CDPs are built to deliver consistent and personalized customer experiences across any device or channel. They help businesses track customer interactions across smartphones, tablets, desktops, and other connected devices to maintain a unified customer view. This type of CDP is best suited for organizations aiming to create seamless cross-device engagement, ensuring customers receive relevant messaging and experiences no matter how or where they interact with the brand.
- [Marketing Metrics-Focused CDPs](https://www.g2.com/categories/customer-data-platform-cdp/f/marketing-metrics): Marketing Metrics-focused CDPs provide advanced analytics and reporting capabilities that help businesses measure marketing performance and ROI. They enable organizations to track customer engagement, campaign effectiveness, and revenue attribution across multiple channels. This type of CDP is ideal for companies looking to gain deeper insights into their marketing efforts, optimize strategies, and make data-driven decisions while managing customer data in a centralized platform.
- [Recommendation Engine CDPs](https://www.g2.com/categories/customer-data-platform-cdp/f/recommendation-engine): Recommendation Engine CDPs use artificial intelligence and machine learning to deliver personalized content, product recommendations, and next-best actions across customer touchpoints. By analyzing customer behavior, preferences, and purchase history, they help businesses increase engagement and drive conversions. This type of CDP is well-suited for organizations aiming to enhance personalization strategies, improve product discovery, and deliver relevant experiences in real time across marketing channels.
- [Content Marketing CDPs](https://www.g2.com/categories/customer-data-platform-cdp/f/content-marketing): Content Marketing CDPs combine customer data management with content delivery tools to support personalized marketing at scale. They enable businesses to create, manage, and distribute content tailored to customer profiles, behaviors, and preferences. This type of CDP is ideal for organizations focused on automating content-driven campaigns, delivering targeted messaging across multiple channels, and driving customer engagement with personalized, data-informed content experiences.
- **Integration with AI Assistants** : As businesses adopt AI-powered customer service tools, CDPs provide accurate customer profiles and history. This integration enables AI assistants to offer more relevant, efficient, personalized interactions, enhancing overall customer satisfaction.

### Top customer data companies on G2 features rated by G2 reviewers

There is no single best customer data platform for every business. Different CDP features offer unique benefits depending on the organization’s goals, data complexity, and marketing maturity. These features can support users in several ways:

- Data enrichment: Use external data sources to enhance and complete customer profiles.
- Expandability: Add new data sources and adapt to changing data requirements over time.
- Content marketing: Manage and deliver content as part of personalized customer journeys.
- Multiple devices: Deliver consistent, personalized experiences across all customer devices.
- Marketing metrics: Measure the performance and ROI of marketing programs and campaigns.
- Predictive modeling: Forecast customer behaviors and outcomes using statistical models.
- Recommendation engine: Suggest next-best actions or products based on customer data and AI.

### Top CDP benefits identified by G2 reviewers

Effective customer data platform implementation can deliver a range of strategic business benefits, including:

**Ease of Use** : Users often highlight that these CDPs are intuitive and user-friendly, reducing the learning curve.

_“A customer data platform is a very potent, all-in-one platform that functions smoothly like clockwork. It has proven highly capable and effective for us, and we have witnessed consistent growth in CTR using their Smart Recommender.”_ - [Hung Ho, Digital Transformation Executive](https://www.g2.com/products/insider/reviews/insider-review-6920189)

**Data Management** : The ability to collect, unify, and manage customer data efficiently is a standout feature.

_“A customer data platform provides analytics and insights to help businesses understand user behavior, measure the performance of their digital experiences, and make data-driven decisions for optimization and personalization.”_ - [Hlengi Khanyile](https://www.g2.com/products/bloomreach-bloomreach/reviews/bloomreach-review-9184260)

**Personalization Capabilities:** Many users mention strong functionality around segmentation and delivering personalized customer experiences.

_“We send personalized notifications and messages that match each user’s interests and activity. This helps us keep users returning to the app by offering them exactly what they’re looking for. Personalization has made our connection with users stronger and more meaningful.”_ - [Sanjeev Arora, SDE - 1](https://www.g2.com/products/webengage/reviews/webengage-review-10487589)

**Automation** : Automating campaigns and data flows is frequently seen as a time-saver and a key value driver.

_“The customer portals are invaluable for tracking onboarding objectives with customers, keeping everyone aligned. Its robust automation capabilities allow us to create a wide range of alerts based on real-time data, ensuring we never miss critical updates.”_ - [Rocky Radu, Sr. Operations Engineer](http://ws/planhat-review-10533063)

**Customer Support** : Reviewers appreciate responsive and helpful support teams.

_“While the application is intuitive, there are a lot of hidden tricks and tips. Whenever I go to my support team with the question I&#39;m trying to answer, they do everything they can to help me answer that question.”_ - [Tim Oliver, Product Director - Analytics &amp; Data Science](https://www.g2.com/products/fullstory/reviews/fullstory-review-9719408)

### Top customer data platform challenges identified by G2 reviewers

Implementing a customer data software can drive significant marketing and operational value, but G2 user reviews highlight several common challenges that organizations may encounter. These challenges often relate to pricing, complexity, data integration, feature limitations, and support quality. Below are the most frequently reported hurdles, along with key questions to ask vendors and practical advice to address them:

**1. Pricing and cost complexity:** Reviewers frequently mention that CDP software can involve high costs, especially for advanced features, data volume, or enterprise-level use cases. Unclear pricing models or additional costs for integrations and support can be a barrier.

- **Essential questions to ask your CDP vendor** : What is included in your pricing tiers? Are there extra costs for data storage, API access, or integrations? How do costs scale with increasing customer profiles or data usage?
- **How to overcome the challenge** : Look for transparent pricing models that clearly outline what is included. Choose vendors that offer flexible, scalable pricing options aligned with your data needs and growth plans.

**2. Data complexity and steep learning curve:** Customer data platforms often require technical expertise to implement and operate effectively. Users report challenges managing data integration, identity resolution, and advanced segmentation features, especially without dedicated support.

- **Essential questions to ask your CDP vendor** : What onboarding, training, and documentation do you provide? Is your platform designed for marketers, or will technical teams need to be heavily involved? What customer success resources are available?
- **How to overcome the challenge** : Select CDPs that emphasize ease of use, intuitive interfaces, and strong customer enablement programs. Ensure that adequate training resources are available for both technical and non-technical users.

**3. Limited or underdeveloped features:** Many users cite missing features, lack of customization, or limitations in reporting and analytics tools as pain points that hinder their ability to fully leverage the CDP.

- **Essential questions to ask your CDP vendor** : What are your platform’s current core features, and how mature are they? Can you provide a product roadmap or outline of upcoming features? Are there limitations or known gaps in key areas like reporting, integrations, or personalization?
- **How to overcome the challenge** : Select a CDP vendor that is transparent about its product capabilities and development roadmap. During evaluation, prioritize platforms that actively engage with customer feedback and release regular feature updates. Consider whether the available features align with your highest-priority use cases, and avoid over-investing in platforms that require long wait times for critical functionality.

**4. Customer support quality:** Reviewers frequently note slow response times or inadequate assistance when solving technical issues, which negatively impacts their experience with the product.

- **Essential questions to ask your CDP vendor** : What support channels do you offer, such as email, live chat, phone, or dedicated account managers? What is your average response time for support inquiries? Do you provide guaranteed service levels through Service Level Agreements (SLAs)? What resources do you offer for onboarding, training, and ongoing customer success support?
- **How to overcome the challenge** : Evaluate CDP vendors based on proven customer support performance. Look for platforms with responsive, multi-channel support and clearly defined SLAs. Prioritize vendors that offer proactive customer success programs, training resources, and dedicated support contacts to ensure your team receives guidance during implementation and ongoing use.

**5. Data integration complexity:** Many users report difficulties integrating their CDP with existing tools, systems, and data sources. Challenges include limited pre-built connectors, complex API configurations, custom integration requirements, and inconsistent data formatting across platforms. Without seamless integration, a CDP’s ability to unify customer data and deliver insights is significantly reduced.

- **Essential questions to ask your CDP vendor** : What pre-built integrations do you offer with common tools like CRMs, marketing automation platforms, e-commerce systems, and analytics tools? How flexible is your API, and what technical resources are required for custom integrations? Do you provide support or services to help with integration setup and troubleshooting? How do you ensure data accuracy and consistency across connected systems?
- **How to overcome the challenge** : Prioritize CDPs that offer a wide range of pre-built integrations with your existing tools. Confirm that the platform provides clear API documentation, integration support, and technical resources to streamline setup. Engage internal IT teams early in the evaluation process to assess technical compatibility and avoid unexpected complexity during implementation.

### What are customer data platforms used for?

Customer Data Platforms (CDPs) are primarily used to unify customer data, improve marketing performance, and deliver personalized customer experiences. According to G2 reviewers, businesses rely on CDPs to collect and manage customer data from multiple sources and create a single, comprehensive customer view.

Common use cases include improving customer engagement, enabling personalized marketing campaigns, and optimizing customer journeys across channels. Many businesses use CDPs to track customer behavior, automate campaign delivery, and segment audiences for targeted messaging. CDPs also support reporting, real-time analytics, and help teams make data-driven decisions.

Reviewers frequently mention that CDPs help break down data silos, connect online and offline customer interactions, and increase operational efficiency in marketing, sales, and customer service teams.

### Who uses customer data platforms?

Customer data platform solutions are used by businesses to unify customer data, personalize marketing, and improve customer engagement across teams and channels.

- **Marketing teams** : Use CDPs to unify customer data, segment audiences, and personalize campaigns across channels.
- **Sales teams** : Access real-time customer profiles to identify leads, track activity, and deliver personalized outreach.
- **Customer experience teams** : Leverage CDPs to track customer interactions and provide consistent, personalized support.
- **Data and analytics teams** : Use CDPs to collect, analyze, and report on customer data from multiple sources.
- **Ecommerce and retail businesses** : Rely on CDPs to power personalized product recommendations and optimize customer journeys.
- **B2B and B2C companies** : Use CDPs to understand customer behavior, drive engagement, and improve marketing performance.

### Common customer data platform integrations

Customer data platforms integrate with a wide range of tools to collect, unify, and activate customer data across systems. Common integrations include:

- [CRM systems](https://www.g2.com/categories/crm): Connect customer relationship management tools to sync contact data, sales activity, and customer interactions.
- [Marketing automation platforms](https://www.g2.com/categories/marketing-automation): Integrate with email marketing, SMS, and campaign tools to deliver personalized messaging.
- [E-Commerce platforms](https://www.g2.com/categories/e-commerce-platforms): Sync product data, purchase history, and customer behavior from online stores.
- **Advertising platforms** : Connect with ad networks and social media channels to optimize audience targeting and ad personalization.
- [Analytics](https://www.g2.com/categories/analytics-platforms) **and** [BI tools](https://www.g2.com/categories/embedded-business-intelligence): Feed unified customer data into reporting platforms for deeper analysis and insights.
- [Data warehouses](https://www.g2.com/categories/data-warehouse) **and** [cloud storage](https://www.g2.com/categories/cloud-file-storage): Integrate with cloud data systems to centralize large volumes of structured and unstructured data.
- **Customer support tools** : Connect customer service platforms to provide personalized support based on complete customer profiles.

### **Software and services related to customer data platforms**

1. [Data warehouses](https://www.g2.com/categories/data-warehouse) store large volumes of integrated business data for reporting and analytics. Managed by IT teams, they focus on cross-departmental data rather than marketing-specific customer profiles.
2. [Data Management Platforms (DMP)](https://www.g2.com/categories/data-management-platform-dmp) collect third-party, cookie-based data for audience targeting and digital advertising. Unlike CDPs, DMPs focus on anonymous data and short-term storage for ad campaigns.
3. [CRM software](https://www.g2.com/categories/crm) store customer contact details, sales activity, and interaction history. While CRMs manage known customer records, CDPs unify data from all channels to create a complete customer view for marketing personalization.

### Future of customer data platforms

The future of customer data platforms will focus on deeper AI-driven personalization, stronger real-time data processing, expanded privacy and compliance features, and increased integration with emerging technologies to help businesses deliver more connected, predictive, and privacy-first customer experiences.

1. **AI-Powered Personalization** : CDPs are increasingly integrating artificial intelligence and machine learning to deliver hyper-personalized customer experiences in real time. By analyzing behavioral signals and customer preferences, businesses can tailor content, offers, and journeys dynamically. ​
2. **Real-Time Data Activation** : The growing demand for agility and responsiveness is driving CDPs to process and activate customer data instantly. Real-time decision-making helps brands respond to customer behavior as it happens, enhancing engagement and satisfaction. ​
3. **Privacy-First Data Collaboration** : With increasing data privacy regulations, CDPs are adopting technologies like data clean rooms that allow companies to analyze shared data sets without exposing personally identifiable information. This approach protects user privacy while maintaining valuable insights. ​
4. **Cross-Channel Customer Engagement** : CDPs are expanding beyond traditional marketing use cases, enabling personalized engagement across a growing number of touchpoints, including mobile apps, social media, e-commerce, and customer service platforms. This holistic approach ensures consistent messaging and experiences across all customer interactions. ​
5. **Integration with AI Assistants** : As businesses adopt AI-powered customer service tools, CDPs play a crucial role in providing accurate customer profiles and history. This integration enables AI assistants to offer more relevant, efficient, and personalized interactions, enhancing overall customer satisfaction. ([_Source 4_](https://www.cdpinstitute.org/news/customer-data-platform-growth-shifts-to-new-markets-cdp-institute-report/))

### Customer Data Platform (CDP) FAQs

#### What are customer data platforms?

A customer data platform, or CDP, is software that collects customer data from multiple sources such as websites, mobile apps, CRMs, email tools, and advertising platforms, then unifies it into a single, centralized customer profile. The goal of a CDP is to create a complete view of each customer by connecting identity and behavior across channels, even when data is fragmented.&amp;nbsp;

CDPs help teams segment audiences, personalize experiences, and activate customer data in other systems, such as [marketing automation](https://www.g2.com/categories/marketing-automation), [analytics](https://www.g2.com/categories/analytics-platforms), and [ad platforms](https://www.g2.com/categories/digital-advertising-tech), making them a foundational tool for customer-centric marketing and engagement.

#### CDP vs CRM: what are the differences?

The main difference between a CDP and a CRM is the type of data they manage and how that data is used. A [CRM](https://www.g2.com/categories/crm) is designed mainly for sales and customer service teams to manage relationships with known contacts by tracking communication history, storing contact and account details, and supporting pipeline workflows.&amp;nbsp;

A CDP is designed to unify both known and anonymous data across many systems, including real-time behavioral signals, and turn it into continuously updated customer profiles. While CRMs focus on relationship management and revenue workflows, CDPs focus on data unification, identity resolution, audience building, and activation for personalization and marketing performance. Many companies use both together, with CDPs enriching the CRM and improving targeting and customer engagement.

#### What is the best customer data platform?

There is no single best customer data platform for every business because the right choice depends on your goals, data complexity, customer journey, and existing tech stack. The best CDPs typically excel at unifying customer data across channels, accurately resolving customer identities, enabling real-time segmentation and activation, integrating smoothly with other tools, and supporting both privacy and governance requirements.&amp;nbsp;

A reliable way to evaluate the best CDP for your needs is to compare platforms based on verified user reviews, feature fit, and performance for companies of a similar size and industry. On G2, the leading CDPs are identified using verified customer feedback and satisfaction signals, which helps buyers see which tools perform best in real-world use cases.

The best CDP software are [Salesforce Data 360 (formerly Data Cloud)](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/reviews), [Insider One](https://www.g2.com/products/insider-one/reviews), and [Bloomreach](https://www.g2.com/products/bloomreach-bloomreach/reviews).

### Sources

1. [50+ Customer Data Statistics for Successful Marketing Plans](https://www.g2.com/articles/customer-data-statistics), G2
2. G2 reviews data: G2 reviews are sourced from verified software users and factor in satisfaction ratings, market presence, and real-time popularity data. Rankings in this guide are based on an analysis of G2 user reviews published within the last 12 months. For more details, read [G2’s full scoring methodology](https://documentation.g2.com/docs/research-scoring-methodologies).
3. [Customer Data Platform Market Size, Share &amp; Industry Analysis](https://www.fortunebusinessinsights.com/industry-reports/customer-data-platform-market-100633), Fortune Business Insights
4. [Customer Data Platform Growth Shifts to New Markets](https://www.cdpinstitute.org/news/customer-data-platform-growth-shifts-to-new-markets-cdp-institute-report/), CDP Institute



    
