10 Top Customer Intelligence Platforms (2025)

Customer intelligence platforms are essential tools for understanding and improving customer experiences. In 2025, businesses leverage these platforms to analyze data, predict trends, and personalize interactions using AI, machine learning, and real-time analytics. Below are the top 10 platforms with their standout features:

• BuildBetter.ai: Tailored for product teams, it automates insights, saves time, and eliminates unnecessary meetings.
• Qualtrics XM: Processes billions of interactions annually, offering predictive insights and feature prioritization.
• Salesforce Customer 360: Integrates data across systems for personalized customer interactions and workflow automation.
• Adobe Experience Platform: Handles massive datasets with AI for real-time personalization and advanced analytics.
• Gong.io: Optimizes revenue operations with AI-driven tools for forecasting and customer engagement.
• Zendesk Explore: Enhances customer support with AI-powered ticket handling and analytics.
• HubSpot Service Hub: Combines AI with CRM for personalized support and streamlined operations.
• Medallia Experience Cloud: Uses real-time data to predict needs and improve customer journeys.
• Amplitude: Focuses on behavior analysis and growth through AI-driven insights.
• SurveyMonkey Enterprise: Simplifies feedback collection and analysis with AI tools and enterprise-level features.

Quick Comparison

These platforms streamline operations, reduce costs, and enhance customer satisfaction. Choose based on your team’s specific needs and data management priorities.

Turn Product Analytics into AI-Powered Customer Insights ...

1. BuildBetter.ai

BuildBetter.ai is a leading platform in customer intelligence designed specifically for product teams. It takes unstructured customer data from various sources and turns it into actionable insights, enabling teams to make faster, more informed decisions.

With integrations across more than 100 tools - including Zoom, Slack, Jira, and Salesforce - BuildBetter.ai collects and analyzes customer interactions seamlessly. This gives product teams a complete understanding of customer needs and preferences.

Here’s how it boosts productivity:

• Teams report dedicating 43% more time to revenue-generating tasks.
• Saves an average of 18 hours per project during a two-week sprint.
• Eliminates 26 meetings per month for each team.
• Cuts costs by $21K per person annually (based on $45/hour).

The platform also simplifies document generation, helping teams create essential deliverables:

"We don't operate without BuildBetter. This is the only platform that we use religiously." - Aditya Goyal, Product Lead

BuildBetter.ai’s workflow automation features - such as action item tracking, customer insight reports, and team blocker alerts - help teams streamline operations. This efficiency contributes to an impressive 98% subscription retention rate.

The platform prioritizes security and privacy by ensuring customer data is not used to train its models. Combined with unlimited seat pricing for all plans, it’s a strong choice for organizations focused on both scalability and data protection.

"It wouldn't be possible to do my job at this scale without BuildBetter." - John Strang, Product Operations

By focusing on high-impact insights, especially for B2B scenarios, BuildBetter.ai allows teams to act quickly and effectively on the most critical information.

Next, we explore Qualtrics XM.

2. Qualtrics XM

Qualtrics XM turns feedback from multiple channels into predictive insights. Each year, it analyzes over 3.5 billion conversations using AI, drawing from a massive database of more than 15 billion experience profiles.

The platform handles customer interactions across various touchpoints. Its conversational AI prompts generate 40% more data and nearly quadruple the word count compared to traditional methods.

How Companies Use Qualtrics XM

Key features include:

• Real-time product feedback analysis
• Automated feature prioritization
• Measuring user experiences effectively

"With the largest database in the world of human sentiment, Qualtrics holds a distinct position in AI." - Gurdeep Singh Pall, Qualtrics President, AI Strategy

For product managers, Qualtrics XM simplifies customer feedback analysis, automatically prioritizing essential product features. Its AI technology, powered by machine learning and natural language processing, provides actionable recommendations based on customer, employee, and prospect interactions.

"Fueled by our $500 million commitment to AI innovation, Qualtrics is making it easier than ever for customer experience teams to rapidly and meaningfully deliver the superior, personal, and human experiences their customers are looking for." - Brad Anderson, President of Product, UX and Engineering at Qualtrics

With more than 20,000 customers worldwide, Qualtrics XM continues to refine its AI capabilities, helping organizations make informed decisions that improve customer experiences and support business growth.

3. Salesforce Customer 360

Salesforce Customer 360 leverages AI to transform customer data into practical insights. By bringing together information from sales, marketing, and service channels, it enables businesses to deliver personalized and scalable customer interactions.

Here are some examples of how companies have benefited:

For instance, Banco Inter developed InterGPT within Slack to enhance operational efficiency. This solution saved each employee 30 minutes per month, resulting in $13,000 in monthly productivity gains.

Key Intelligence Capabilities

Salesforce Customer 360 stands out for its ability to integrate data from multiple sources using its Customer 360 Data Manager. A great example is The Warehouse Group, which consolidated customer profiles across six brands to deliver more tailored experiences.

"Customer 360 Data Manager connects customer data within Salesforce and non-Salesforce systems such as ERP and point-of-sale systems to create a global profile and issue a single Salesforce ID for each person." - Salesforce

Some of the platform's AI-powered features include:

• Automated Lead Prioritization: Einstein AI identifies high-potential opportunities by analyzing patterns.
• Personalized Communication: Recommends and generates email content to enhance customer engagement.
• Customer Behavior Analysis: Tracks and predicts customer needs in real time.
• Workflow Automation: Simplifies processes without requiring extra technical expertise.

These tools allow product managers to create highly customized solutions for their customers.

"We see generative AI really shine at things like sending emails. We've been using Einstein to generate sales emails, which allows our sales teams to skip these repetitive tasks so they can focus their time on our customers"

For product managers, the platform's data segmentation and analysis capabilities are especially useful. For example, Casey's convenience store chain combined data from its website, mobile app, point-of-sale system, and email communications to deliver personalized customer experiences.

With 65% of customers expecting businesses to meet their changing needs, Salesforce Customer 360 helps organizations stay competitive while maintaining efficiency.

4. Adobe Experience Platform

Adobe Experience Platform uses advanced AI to process an impressive 40 petabytes of data and handle 5 billion daily interactions. It completes 17 trillion evaluations in under 100 milliseconds, achieving a 99.5% success rate.

AI-Powered Intelligence Features

The platform's AI Assistant transforms how teams interact with customer data using generative AI. This conversational tool offers several key benefits:

Over 80% of Adobe Experience Cloud users now rely on these AI-driven tools, showcasing the growing reliance on AI to enhance customer interactions.

In addition to its AI capabilities, Adobe Experience Platform ensures quick and seamless access to real-time data, which is essential for large-scale operations.

Real-Time Data Management

The platform’s Federated Audience Composition feature allows enterprises to access real-time data without creating duplicates. For example, NBCUniversal used Adobe Real-Time CDP to personalize ad messages and measure campaign performance by collaborating on first-party data.

Advanced Use Cases

Adobe Experience Platform supports a variety of advanced applications, including:

1. Intelligent Re-Engagement
   The platform monitors real-time journeys to detect abandonment events, using behavioral data and consent to re-engage customers effectively.
2. Conversion Optimization
   By analyzing interactions at scale, the platform identifies which prospects are most likely to convert and guides them through the best marketing paths.
3. Contextual Recognition
   Even when users aren’t logged in, the platform maintains personalization by linking anonymous identifiers with known customer data, ensuring consistent experiences across sessions.

"Adobe Experience Platform innovations such as an AI Assistant powered by generative AI enables brands to understand individual customer context and generate tailored omnichannel experiences. This increases productivity and boosts experimentation of new ideas, all while ensuring brands adhere to strict governance and security controls." - Anjul Bhambhri, senior vice president, Adobe Experience Cloud

The platform also integrates effortlessly with both Adobe and non-Adobe applications through RESTful APIs. With 72% of consumers expressing confidence in AI to enhance their customer experiences, Adobe Experience Platform stands out as a powerful tool for delivering data-driven, personalized experiences at scale.

5. Gong.io

Gong.io streamlines revenue workflows by using AI to analyze customer interactions in over 70 languages, making it a go-to solution for global businesses.

AI-Driven Tools

Gong.io's AI turns customer interactions into meaningful insights:

These tools help businesses refine their revenue strategies and achieve measurable results.

Proven Results

More than 4,500 companies rely on Gong.io to improve their revenue operations. Key benefits include:

• Improved Team Efficiency: Faster onboarding and better team performance
• Accurate Revenue Forecasting: AI ensures 95% accuracy in predictions
• Pipeline Growth: Insights that lead to higher win rates and bigger deals

Gong.io continues to be a trusted partner for organizations aiming to make smarter, data-driven decisions and maximize revenue potential.

6. Zendesk Explore

Zendesk Explore transforms raw data into actionable insights, leveraging advanced AI tools and detailed analytics to enhance customer operations.

AI-Powered Features

Zendesk's AI tools streamline repetitive tasks and improve knowledge management. The Advanced AI add-on ($50 per agent monthly) boosts essential support functions:

This integrated system helps teams make quick, data-backed decisions.

Data Integration and Analytics

Zendesk Explore connects with over 1,500 apps, consolidating customer interactions into one platform. Its pre-built dashboards provide instant access to key metrics, eliminating the need for advanced statistical knowledge. These integrations create a solid foundation for successful implementation, supported by best practices.

"The visibility that the Zendesk reporting solution brings has helped us improve our support operations tremendously - we're now able to surface problem areas from our tickets, quickly fix routing rules, and identify training opportunities for our team." - Colin Wilkinson, Senior Manager, Agent Enablement, Member Services at Etsy

Implementation Best Practices

• Data Preparation
  Organize historical data and standardize tagging. Update response templates for consistency.
• Knowledge Base Optimization
  Structure documentation logically and ensure it covers all common issues.
• Team Enablement
  Train staff on AI features, process at least 150 tickets quarterly, and configure Agent Workspace settings.

According to recent findings, 65% of business leaders say their customer service AI feels more natural and human-like.

7. HubSpot Service Hub

HubSpot Service Hub leverages Breeze AI to enhance support processes while keeping customer interactions personalized. Its AI-powered tools help businesses streamline support operations without losing the human touch.

AI-Driven Features

Breeze AI powers key tools like Copilot, Agents, and Intelligence, which simplify response creation, automate support tasks, and improve customer targeting:

Benefits of Smart Integration

HubSpot's Smart CRM integrates with Service Hub to provide a complete view of customer interactions. For example, in Q3 2024, Sandler reported a 25% increase in prospect engagement and a 60% rise in qualified leads.

Key Service Features

HubSpot Service Hub includes tools designed to improve customer support:

• Conversation Intelligence: Records call details and offers AI-driven coaching tips
• Knowledge Base: Organizes content for effective self-service options
• Omni-Channel Messaging: Combines communication from various platforms into one place
• Service Analytics: Delivers actionable insights through pre-built reports

These tools help businesses enhance their customer support capabilities.

"Service Hub has been a game-changer for us in how we communicate across teams and solve customer issues. Having all of our customer data in one place fosters better collaboration and ensures that we're approaching every interaction with the full context of that customer's experience with us."
– Rick Mirsky, Founder and CEO, Ecom Diversify

Real-World Success Stories

Companies using HubSpot Service Hub have seen measurable results. For instance, Unific relies on the platform to give leadership better insights into customer metrics. Stella's service teams use it to deepen customer relationships by accessing comprehensive data. Santa Cruz Bicycles has also benefited from its automation tools.

"The way HubSpot approaches automation, it really is about enabling the human touch and not removing it"

HubSpot Service Hub supports over 238,000 customers across 135 countries. It showcases how AI-powered tools can improve service operations and customer experiences.

8. Medallia Experience Cloud

Medallia Experience Cloud leverages Athena AI to process customer data in real time, answer key business questions, and create personalized communications.

AI-Driven Features

The platform's AI interprets customer signals across multiple touchpoints:

Business Results

Organizations using Medallia have reported a 185% ROI over three years, with payback achieved in less than six months. They’ve also generated $39.25M in additional revenue and saved $15.2M by replacing outdated systems.

"They tell us what they love, they tell us what they hate. They tell us what causes stress. They share their wants and their needs. And we invested heavily in identifying how we could understand these moments that matter, not just from a business and analytical perspective but in a way that really allows us to create change across our portfolio."
– Anne Louise Mason, Senior Product Manager – Enterprise Strategy – Customer Experience Management Program

Total Experience Profiles

Medallia's TX Profiles combine operational and experience data to create detailed timelines of customer interactions. This gives businesses a complete view of the customer journey, helping them improve every touchpoint.

Dick's Sporting Goods has effectively used this feature. Miche Dwenger, VP Ecommerce Experience, shared:

"Thanks to the voice of customer data captured by Medallia, we are able to identify and eliminate bottlenecks in our customer journeys."

Seamless Integrations

The platform supports plug-and-play integrations with Workday, Salesforce, ServiceNow, and Adobe. It also offers APIs for custom setups and ETL tools for integrating legacy systems.

"Medallia and its world-class integrations have helped Andersen position itself as an experience company rather than a product company. We're competing with every other business in the world, and we want to provide the best service, and Medallia is enabling us to do that."

Recognized Industry Leader

Medallia's expertise in customer intelligence has been acknowledged by leading analysts, including:

• Forrester Wave™ Leader in Customer Feedback Management (Q4 2024)
• IDC Voice of the Customer MarketScape Leader
• 2024 Gartner® Magic Quadrant™ Voice of the Customer Platform Leader

With 1.2M weekly active users and 1,900 daily empowered users, Medallia helps large organizations scale their customer intelligence efforts. Next, we’ll dive into Amplitude's approach to customer analytics.

9. Amplitude

Amplitude uses AI to analyze customer behavior and drive growth. According to a Forrester Total Economic Impact™ study, companies using Amplitude saw a 217% ROI, with payback in less than six months. Over three years, these organizations gained $5.34 million in revenue and saved $2.6 million in operational costs.

By combining machine learning and natural language processing, Amplitude enhances digital analytics to provide actionable insights.

AI-Powered Features

Amplitude's AI capabilities focus on machine learning and generative techniques, offering the following key tools:

Success Stories in Action

Jumbo Interactive achieved impressive results with Amplitude's AI-driven recommendations, increasing conversions by 158% and adding $500,000 in annual revenue.

"With Recommend, we've found the perfect balance between optimizing revenue and creating fun for our customers. You know when you're listening to a Spotify playlist and think, 'Wow, Spotify just gets me?' That's the feeling we're able to create."
– Patrick Gordon, Principal at Jumbo Interactive

Seamless Data Integration

Amplitude's integration with Snowflake empowers businesses to combine datasets for deeper insights. For instance, Coveo leveraged this integration to increase feature adoption by 330%, reduce support requests by 7%, and improve key performance metrics by 50%.

"Using Amplitude and Snowflake has allowed Smitten to quickly spot trends, outliers, and shifts in key KPIs, removing 95% of the 'waiting for data' bottlenecks."
– Sverrir Ingi Sigthorsson, Data Analyst at Smitten

Driving Results with Product Intelligence

A major media company used Amplitude's analytics to grow newsletter signups by 35%.

Enterprise-Ready Tools

Amplitude offers a range of advanced features, including:

• Cross-product and cross-device analytics
• Data governance and pipeline management
• Behavioral cohort analysis
• Session replay functionality
• A/B testing

Research shows companies using product intelligence tools like Amplitude are 5.5 times more likely to achieve over 25% year-over-year revenue growth.

Next, we'll look at how SurveyMonkey Enterprise takes customer intelligence to the next level.

10. SurveyMonkey Enterprise

SurveyMonkey Enterprise is a customer intelligence platform that uses AI to help organizations collect and analyze feedback more effectively. Trusted by over 260,000 organizations worldwide, it combines advanced survey tools, analytics, and integrations to streamline feedback processes.

AI-Powered Tools

The platform's SurveyMonkey Genius generates 2.4 million AI predictions daily, offering tools that simplify survey creation and analysis:

Enterprise Features

SurveyMonkey Enterprise is designed for large-scale feedback programs and includes:

• Advanced Security: Features like SSO, HIPAA compliance, and encrypted data
• Integration Hub: Connects with Salesforce, HubSpot, Tableau, and Microsoft Power BI
• Admin Controls: Centralized user management and access tools
• 24/7 Support: Dedicated customer success teams for assistance

Success Stories

In 2023, the Golden State Warriors used SurveyMonkey Enterprise to support their DEI initiatives, while ClickUp tested a multimillion-dollar ad campaign using the platform. Saint Francis University also saw major improvements:

• Cut survey management time by 50%
• Increased response rates and data quality by 75%
• Doubled their ability to make faster, informed decisions

"As a leading financial institution, being able to comply with brand policies is of utmost importance to us. With SurveyMonkey Enterprise, we were able to use a custom email domain for our annual Market Analyst survey that gets sent out to 13,000 people and greatly improves our open rates."
– Global Head of Research, Bank of America

These examples highlight how customer feedback can drive better decision-making and product development.

Supporting Product Innovation

Sakura, a company with over 100 years of history in art products, uses SurveyMonkey Enterprise to test and refine its offerings. The platform's panel of 335 million participants worldwide allows for targeted, quick feedback collection.

"Build with AI is our latest AI-powered capability and an automatic way to build professional surveys in minutes."
– Abigail Matsumoto

With 14,000+ five-star reviews on G2.com and nearly 25 years of experience shaping its AI tools, SurveyMonkey Enterprise remains a leader in customer feedback solutions.

Next Steps for Choosing a Platform

After reviewing the platform options, follow these steps to select the best fit for your organization's needs.

Key Evaluation Criteria

When evaluating platforms, focus on features that directly influence implementation success and return on investment (ROI):

Planning for Implementation

• Choose platforms with open APIs for easier integration.
• Ensure the platform aligns with the goals of product, marketing, customer success, and sales teams.
• Opt for solutions that deliver quick results with minimal training or upkeep.

Getting the Most from Your Platform

Data Integration
Combine data from various sources to gain a complete view of customer behavior:

• Support tickets
• Marketing automation tools
• Sales pipeline data
• Product usage stats

Team Collaboration
Set up workflows that share insights and drive action. Organizations with the best ROI often implement:

• Centralized repositories for insights
• Automated sharing of insights
• Clear tracking of action items
• Regular cross-team reviews

By integrating these practices, while prioritizing data security, you can ensure long-term platform effectiveness.

Privacy and Security Requirements

When handling sensitive customer data across regions, prioritize platforms with strong privacy measures. Look for:

• Detailed data policies
• Regular security audits
• Compliance certifications
• Data residency options

Tracking Success

Measure your platform's impact with clear metrics, such as:

• Time saved on data analysis
• Higher customer satisfaction scores
• Growth in feature adoption rates
• Lower customer churn
• Faster insight-to-action cycles

Related posts

• How AI Detects Trends in Customer Data
• Best Customer Feedback Analysis AI Tools in 2025
• 10 AI-powered tools for analyzing the voice of the customer
• 10 Best AI-Powered Brand Sentiment Analysis Tools for CX in 2025