23 Best Customer Data Platforms In India Reviewed in 2025
Best Customer Data Platforms In India Shortlist
Here’s my shortlist of the best customer data platforms India:
Customer data platforms help marketing, CX, and analytics teams connect data from every channel to build a single view of the customer. They solve common challenges like fragmented insights, duplicate records, and disconnected tools, so your team can deliver more personalized, data-driven experiences that actually move the needle.
I’ve reviewed and tested the best customer data platforms in India based on data integration, real-time processing, scalability, privacy compliance, and value for money. This guide breaks down my top picks, why they stand out, and how to choose the one that fits your business goals and data maturity.
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Best Customer Data Platforms In India Summary
This comparison chart summarizes pricing details for my top customer data platform in India selections to help you find the best one for your budget and business needs.
| Tool | Best For | Trial Info | Price | ||
|---|---|---|---|---|---|
| 1 | Best for analytics | Free trial available | Pricing upon request | Website | |
| 2 | Best for global availability | Free demo available | Pricing upon request | Website | |
| 3 | Best for mobile apps | Free demo available | Pricing upon request | Website | |
| 4 | Best for enterprise scalability | Free demo available | Pricing upon request | Website | |
| 5 | Best for retail industry | Free demo available | Pricing upon request | Website | |
| 6 | Best for real-time data | Free demo available | Pricing upon request | Website | |
| 7 | Best for compliance needs | Free demo available | Pricing upon request | Website | |
| 8 | Best for personalized marketing | Free demo available | Pricing upon request | Website | |
| 9 | Best for AI-driven insights | Free demo available | Pricing upon request | Website | |
| 10 | Best for audience segmentation | Free demo available | Pricing upon request | Website |
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Hiver
Visit WebsiteThis is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.4.7 -
CRM Creatio
Visit WebsiteThis is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.4.7 -
monday service
Visit WebsiteThis is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.4.6
Best Customer Data Platforms In India Review
Below are my detailed summaries of the best customer data platforms for India that made it onto my shortlist. My reviews offer a detailed look at the key features, pros & cons, integrations, and ideal use cases of each tool to help you find the best one for you.
SAS Customer Intelligence 360 is a customer data platform designed to enhance marketing efforts through advanced analytics and data-driven insights. It's primarily used by marketing teams to understand customer behavior and improve engagement strategies.
Why I picked SAS Customer Intelligence 360: SAS Customer Intelligence 360 excels in analytics, providing tools for detailed customer journey mapping and predictive modeling. It offers real-time insights into customer interactions, helping your team make informed decisions. The platform's ability to integrate data from various sources ensures comprehensive customer profiles. Additionally, its marketing automation capabilities streamline campaign management, making it an ideal choice for data-driven marketing.
Standout features & integrations:
Features include customer journey mapping that visualizes interactions across channels. The platform offers predictive modeling to forecast customer behavior and trends. It also provides marketing automation tools to enhance the efficiency of your campaigns.
Integrations include Salesforce, Adobe Experience Cloud, Google Analytics, Microsoft Dynamics 365, Oracle, Marketo, HubSpot, Amazon Web Services, IBM Watson, and SAP.
Pros and cons
Pros:
- Effective marketing automation
- Predictive modeling tools
- Comprehensive customer journey mapping
Cons:
- Reporting tools feel dated for some users
- Integration setup can be challenging
Treasure Data is a customer data platform that caters to businesses across various industries, focusing on unifying data and providing actionable insights. It's widely used by marketing teams to enhance customer engagement and data-driven decision-making.
Why I picked Treasure Data: Treasure Data offers global availability, making it a versatile choice for multinational companies. Its ability to ingest data from multiple sources and provide a single customer view is essential for global operations. The platform includes features like real-time analytics to help your team make informed decisions quickly. Additionally, its scalability ensures it can grow with your business, accommodating increasing data volumes and complexities.
Standout features & integrations:
Features include predictive analytics that help your team anticipate customer needs. The platform's data lake architecture allows for seamless data storage and retrieval. It also offers customer journey mapping to visualize interactions and improve engagement strategies.
Integrations include Salesforce, Google Analytics, Adobe Experience Cloud, Marketo, HubSpot, Shopify, Amazon Redshift, Snowflake, Microsoft Azure, and Oracle.
Pros and cons
Pros:
- Advanced analytics capabilities
- Flexible data ingestion options
- Supports global data compliance
Cons:
- Limited customization options
- Complex initial setup
mParticle is a customer data platform designed to manage customer data across mobile applications. It's primarily used by app developers and marketing teams to enhance user engagement and data-driven decision-making.
Why I picked mParticle: mParticle is a customer data platform that helps businesses in India unify and manage user data across mobile and digital channels. It enables real-time data collection and segmentation to deliver personalized experiences. Its strong data governance tools ensure accuracy, compliance, and easy access to customer insights.
Standout features & integrations:
Features include real-time data synchronization that keeps your app data up-to-date. The platform provides a centralized dashboard for managing customer data efficiently. It also offers automated workflows to streamline your marketing processes.
Integrations include Google Analytics, Adobe Experience Cloud, Salesforce, Facebook Ads, Amazon Web Services, Slack, Shopify, HubSpot, Marketo, and Zendesk.
Pros and cons
Pros:
- Detailed audience segmentation
- Efficient data management
- Tailored for mobile applications
Cons:
- Limited customization options
- High learning curve
HCL Customer Data Platform (HCL CDP) is a customer data platform built for large enterprises to unify and analyze customer data. It helps teams connect data from multiple sources to create a single customer view. This enables more personalized and effective marketing strategies.
Why I picked HCL Customer Data Platform (HCL CDP): HCL Customer Data Platform (HCL CDP) offers strong scalability and flexible deployment options for complex enterprise needs. Its AI-powered segmentation and identity resolution improve audience targeting. The platform ensures compliance through advanced data governance tools. Integration with HCL Unica enhances cross-channel data activation and campaign management.
Standout features & integrations:
Features include real-time data processing to keep your customer insights current. Identity resolution helps your team create unified customer profiles. AI-driven segmentation allows for precise targeting and personalized marketing strategies.
Integrations include Salesforce, Adobe Experience Cloud, Google Analytics, Marketo, IBM Watson, Oracle Eloqua, SAP, Microsoft Dynamics 365, HubSpot, and Mailchimp.
Pros and cons
Pros:
- AI-driven segmentation
- Strong compliance features
- Flexible deployment options
Cons:
- Limited user community support
- High technical expertise required
Algonomy is a customer data platform tailored for the retail industry to enhance customer engagement and sales strategies. It serves retail marketers and data analysts by offering insights into consumer behavior and preferences.
Why I picked Algonomy: Algonomy is specifically designed to meet the needs of the retail sector, providing tools for personalized recommendations and targeted marketing. It features a unified customer view that helps your team understand purchasing patterns and preferences. The platform's ability to segment customers based on real-time data makes it ideal for dynamic retail environments. Additionally, its built-in analytics provide actionable insights that can drive sales and customer loyalty.
Standout features & integrations:
Features include advanced customer segmentation that allows your team to target specific groups effectively. The real-time analytics feature provides immediate insights into customer behavior. Its recommendation engine helps tailor product offers to individual customer preferences.
Integrations include Salesforce, Adobe Experience Manager, SAP, Oracle, Microsoft Dynamics 365, Google Cloud, Amazon Web Services, IBM Cloud, Shopify, and Magento.
Pros and cons
Pros:
- Dynamic customer segmentation
- Unified customer view
- Advanced recommendation engine
Cons:
- Limited customization options
- Limited to retail industry
Tealium AudienceStream CDP is a customer data platform that helps businesses manage customer data in real-time. It's primarily used by marketing teams looking to enhance customer engagement through timely and personalized interactions.
Why I picked Tealium AudienceStream CDP: Tealium AudienceStream CDP stands out as a customer data platform built for real-time data collection and activation. It enables your team to unify customer data and create dynamic audience segments instantly. Its event tracking ensures every interaction is captured accurately, while data enrichment tools enhance profiles for personalized engagement and marketing precision.
Standout features & integrations:
Features include event tracking that captures every customer interaction for a complete data set. The platform's data enrichment tools allow you to build detailed customer profiles. It also offers a rules engine that automates customer engagement based on real-time data.
Integrations include Salesforce, Google Analytics, Adobe Experience Cloud, Marketo, HubSpot, Facebook Ads, Slack, Shopify, Amazon Web Services, and Microsoft Dynamics 365.
Pros and cons
Pros:
- Automated engagement rules
- Event tracking capabilities
- Detailed customer profiling
Cons:
- High learning curve
- Complex setup process
Acquia CDP is a customer data platform designed to help businesses unify and manage customer data effectively. It's primarily used by marketing teams to enhance customer engagement and ensure data compliance.
Why I picked Acquia CDP: Acquia CDP provides excellent compliance features, making it ideal for businesses that prioritize data privacy. It offers tools for managing customer consent and ensuring adherence to regulations like GDPR. The platform's data governance capabilities help your team maintain data integrity and security. Additionally, its customer insight features allow for a deeper understanding of customer behavior, enhancing personalized marketing efforts.
Standout features & integrations:
Features include customer data unification that provides a single view of each customer. The platform offers advanced analytics to uncover insights and trends. It also supports personalized campaigns, helping your team deliver targeted marketing messages.
Integrations include Salesforce, Adobe Experience Cloud, Google Analytics, HubSpot, Marketo, Mailchimp, Oracle, SAP, Shopify, and Microsoft Dynamics 365.
Pros and cons
Pros:
- Comprehensive customer insights
- Effective data governance
- Strong compliance features
Cons:
- Reporting customization can be difficult
- Data mapping setup takes significant time
Sitecore CDP is a customer data platform designed to enhance personalized marketing efforts for businesses of all sizes. Marketing teams use it to gather and analyze customer data, enabling targeted campaigns and improved customer experiences.
Why I picked Sitecore CDP: Sitecore CDP excels in personalized marketing by providing detailed customer insights and segmentation capabilities. Its real-time data processing allows your team to react instantly to customer behaviors. The platform's ability to create tailored experiences based on customer profiles is a significant advantage. Additionally, its integration with Sitecore's other digital products supports cohesive marketing strategies.
Standout features & integrations:
Features include advanced segmentation that helps your team target specific customer groups effectively. The platform offers real-time personalization to tailor interactions as they happen. It also includes analytics that provide actionable insights into customer behavior and preferences.
Integrations include Salesforce, Adobe Campaign, Microsoft Dynamics 365, Marketo, HubSpot, Google Analytics, SAP, Oracle, Amazon Web Services, and Mailchimp.
Pros and cons
Pros:
- Detailed customer insights
- Supports cohesive marketing strategies
- Strong personalization capabilities
Cons:
- Limited customization options
- Requires technical expertise
Uniphore is a customer data platform that helps businesses unify and analyze customer interaction data across channels. It leverages AI to interpret conversations and extract meaningful insights. This enables companies to better understand customer behavior and improve engagement strategies.
Why I picked Uniphore: Uniphore uses AI to transform customer data into actionable insights. Its speech analytics and sentiment detection tools reveal customer intent and emotion. The platform also automates repetitive processes, enhancing efficiency. These capabilities make it ideal for businesses aiming to deliver more personalized and data-driven customer experiences.
Standout features & integrations:
Features include speech analytics that provide detailed insights into customer conversations. Emotion AI helps your team detect sentiment and adjust responses accordingly. The platform also offers automation tools to handle repetitive tasks efficiently.
Integrations include Salesforce, Microsoft Dynamics 365, Zendesk, Genesys, NICE, Avaya, Amazon Connect, Twilio, Cisco, and Five9.
Pros and cons
Pros:
- Supports complex issue resolution
- Emotion AI for sentiment detection
- Detailed speech analytics
Cons:
- Model tuning needs ongoing supervision
- Implementation requires technical expertise
RESUL is a customer data platform that helps businesses unify and activate customer data for real-time, omnichannel marketing. It supports various business models by consolidating and enriching audience information to improve engagement.
Why I picked RESUL: RESUL stands out for its advanced audience segmentation and identity resolution tools. It helps your team build precise customer profiles and target audiences more effectively. Its automation and analytics features make campaign management smoother and insights more actionable.
Standout features & integrations:
Features include data integration from multiple sources to provide a unified view of customers. The platform offers data transformation for quality assurance, ensuring accurate and reliable data. It also includes contextual personalization to tailor marketing efforts to individual customer needs.
Integrations include Salesforce, HubSpot, Adobe Experience Cloud, Google Analytics, Facebook Ads, Amazon Web Services, Microsoft Azure, Oracle, Mailchimp, and Shopify.
Pros and cons
Pros:
- Scalable and flexible deployment
- Supports omnichannel marketing
- Strong audience segmentation tools
Cons:
- Requires technical expertise
- Complex setup process
Other Customer Data Platforms For India
Here are some additional customer data platforms for India that didn’t make it onto my shortlist, but are still worth checking out:
- Zeotap
For data privacy
- Twilio Segment
For data integration
- Cloudera
For big data analytics
- Meiro
For data segmentation
- WebEngage
For customer engagement
- CustomerLabs
For no-code data management
- Ortto
For marketing automation
- Salesforce CDP
For marketing teams
- Hightouch
For data synchronization
- CM.com
For communication channels
- Lytics
For behavioral data
- Oracle Unity Customer Data Platform
For enterprise resource planning
- Blueshift
For AI recommendations
Customer Data Platforms In India Selection Criteria
When selecting the best customer data platforms in India to include in this list, I considered common buyer needs and pain points like data integration challenges and compliance with data privacy regulations. I also used the following framework to keep my evaluation structured and fair:
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Core Functionality (25% of total score)
To be considered for inclusion in this list, each solution had to fulfill these common use cases:
- Data integration across various sources
- Customer profile unification
- Real-time data processing
- Segmentation and targeting capabilities
- Data privacy compliance
Additional Standout Features (25% of total score)
To help further narrow down the competition, I also looked for unique features, such as:
- Predictive analytics
- AI-driven personalization
- Omnichannel campaign management
- Advanced identity resolution
- Customizable dashboards
Usability (10% of total score)
To get a sense of the usability of each system, I considered the following:
- Intuitive interface design
- Ease of navigation
- Customization options
- Speed of performance
- Learning curve for users
Onboarding (10% of total score)
To evaluate the onboarding experience for each platform, I considered the following:
- Availability of training videos
- Interactive product tours
- Access to templates and resources
- Supportive chatbots and webinars
- Guidance during initial setup
Customer Support (10% of total score)
To assess each software provider’s customer support services, I considered the following:
- Availability of 24/7 support
- Responsiveness to queries
- Quality of technical assistance
- Access to a comprehensive knowledge base
- Multichannel support options
Value For Money (10% of total score)
To evaluate the value for money of each platform, I considered the following:
- Pricing transparency
- Comparison with competitors
- Features offered in pricing plans
- Flexibility in subscription options
- Discounts for annual billing
Customer Reviews (10% of total score)
To get a sense of overall customer satisfaction, I considered the following when reading customer reviews:
- Overall satisfaction ratings
- Feedback on core features
- Comments on usability
- Insights into customer support experiences
- Opinions on pricing and value
How to Choose a Customer Data Platform In India
It’s easy to get bogged down in long feature lists and complex pricing structures. To help you stay focused as you work through your unique software selection process, here’s a checklist of factors to keep in mind:
| Factor | What to Consider |
|---|---|
| Scalability | Can the platform grow with your business? Ensure it can handle increasing data volumes and user numbers without performance issues. Look for evidence of scalability in user reviews or case studies. |
| Integrations | Does it integrate with your existing tools? Check if it supports your current CRM, martech ecosystem, data warehouse, and data sources. Missing integrations or connectors can cause workflow disruptions. |
| Customizability | Can you tailor the platform to fit your processes? Consider the flexibility to adjust dashboards, reports, and workflows to meet your specific needs. |
| Ease of use | Is the interface intuitive for your team? A complex system may require extensive training, slowing down adoption. Test the platform, if possible, to see how quickly users can perform key tasks. |
| Implementation and onboarding | How long will it take to get up and running? Assess the vendor's support during onboarding, including training materials and setup assistance. A lengthy implementation can delay your ROI. |
| Cost | Does the pricing align with your budget? Compare the total cost of ownership, including hidden fees, setup costs, and subscription plans. Look for discounts on annual billing. |
| Security safeguards | Are data security measures in place? Verify compliance with standards like ISO 27001 or SOC 2. Check for data encryption and regular security audits to protect customer data. |
| Compliance requirements | Does the platform meet regulatory standards? Ensure it complies with GDPR, CCPA, or other relevant data protection laws in your region. Non-compliance can lead to fines and reputational damage. |
What Is a Customer Data Platform For India?
A customer data platform is a software solution that centralizes and manages customer data from various sources to create a unified customer profile. Marketing professionals, data analysts, and customer experience teams in India generally use these tools to enhance customer engagement and improve decision-making. Data integration, real-time processing, and segmentation capabilities help with organizing data, targeting audiences, and ensuring privacy compliance. Overall, these tools provide valuable insights that drive personalized marketing and customer satisfaction, and help reduce churn.
Features of Customer Data Platforms in India
When selecting a customer data platform for India, keep an eye out for the following key features:
- Data integration: Connects various data sources to provide a unified view, eliminating silos and making it easier to analyze customer information.
- Real-time processing: Updates customer data instantly, allowing for timely decision-making and personalized customer experiences.
- Customer profiling: Creates detailed profiles by consolidating data from different touchpoints, enabling targeted marketing and improved customer insights.
- Segmentation: Divides customers into specific groups based on behavior or preferences, enhancing marketing strategies.
- Consent management: Ensures compliance with data privacy regulations by managing customer consents and preferences.
- Identity resolution: Matches customer data across different sources to create a single, accurate profile.
- Predictive analytics: Uses data to forecast customer behavior and trends, helping plan marketing efforts.
- Omnichannel campaign management: Coordinates marketing efforts across multiple channels, ensuring consistent messaging.
- Data enrichment: Enhances existing data with additional information to provide deeper insights into customer behavior.
Benefits of Customer Data Platforms in India
Implementing a customer data platform in India provides several benefits for your team and your business. Here are a few you can look forward to:
- Improved customer insights: By consolidating data from various sources, you gain a clearer understanding of customer behavior and preferences.
- Enhanced targeting: Segmentation capabilities allow you to reach specific customer groups with tailored marketing efforts.
- Increased compliance: Consent management features help ensure adherence to data privacy regulations, reducing the risk of penalties.
- Faster decision-making: Real-time processing provides instant data updates, enabling quicker responses to customer needs.
- Better personalization: Identity resolution and profiling create detailed customer profiles, supporting personalized interactions and making sure the right message can be delivered at the right time.
- Efficient marketing campaigns: Omnichannel management ensures consistent messaging across platforms, improving campaign effectiveness.
- Predictive capabilities: Analytics tools forecast customer trends, aiding in proactive planning and strategy development.
Costs and Pricing of Customer Data Platforms in India
Selecting a CDP in India requires an understanding of the various pricing models and plans available. Costs vary based on features, team size, add-ons, and more. The table below summarizes common plans, their average prices, and typical features included in customer data platform solutions in India:
Plan Comparison Table for Customer Data Platforms in India
| Plan Type | Average Price | Common Features |
|---|---|---|
| Free Plan | $0 | Basic data integration, limited customer profiles, and basic analytics. |
| Personal Plan | $10-$30/user/month | Advanced data integration, customer segmentation, and basic consent management. |
| Business Plan | $50-$150/user/month | Real-time data processing, enhanced analytics, predictive capabilities, and omnichannel campaign management. |
| Enterprise Plan | $200-$500/user/month | Full data unification, advanced identity resolution, comprehensive compliance features, and dedicated customer support. |
Customer Data Platforms in India FAQs
Here are some answers to common questions about CDPs in India:
What are common CDP implementation mistakes?
Common pitfalls include limited analytical capabilities, which make drawing actionable insights difficult, and data quality issues that affect the accuracy of customer profiles. It’s crucial to ensure your data is clean and that the platform you choose offers robust analytics. Consider your team’s ability to leverage predictive modeling effectively.
What is the scope of a customer data platform?
A customer data platform provides a comprehensive view of customer interactions across various platforms, not just within the sales cycle. It helps you track and analyze customer behavior to improve engagement strategies. Ensure the CDP you choose aligns with your overall customer interaction strategy.
What is the difference between a data platform and a customer data platform?
Data Management Platforms (DMPs) primarily handle third-party data like cookies, while CDPs focus on first-party data, including structured and unstructured PII. When selecting a CDP, prioritize how it manages and protects personal data to comply with privacy regulations.
How can a CDP enhance data-driven marketing?
A CDP unifies customer data, allowing your team to create detailed profiles and target specific segments effectively. It supports personalized marketing campaigns by providing insights into customer preferences and behaviors, helping you deliver relevant messages at the right time.
How does a CDP support data privacy compliance?
CDPs often include consent management features to help ensure compliance with data privacy regulations like GDPR. They store and manage customer consents, making it easier for your team to honor privacy preferences and avoid regulatory penalties.
Why is real-time data processing important in a CDP?
Real-time processing allows you to update customer data instantly, enabling timely and relevant interactions. This capability is crucial for dynamic marketing strategies and customer engagement, ensuring your actions are based on the most current information available.
What’s Next:
If you're in the process of researching a customer data platform in India, connect with a SoftwareSelect advisor for free recommendations.
You fill out a form and have a quick chat where they get into the specifics of your needs. Then you'll get a shortlist of software to review. They'll even support you through the entire buying process, including price negotiations.