Transforms unstructured customer feedback from all channels into actionable insights using AI-powered text and speech analytics to improve customer experience and business outcomes.
Last updated Feb 8, 2026
- Industry
- Customer Experience Analytics
- Business Model
- SaaS
- Target Market
- Enterprise
- Employee Count
- 201-500
- Funding
- $80M
- Revenue Range
- $100M-$500M
- Stock Symbol
- NASDAQ:CLBR
- Parent Company
- Qualtrics
- API Available
- Yes
Market Position
Leading provider of conversational analytics and customer experience management solutions prior to acquisition
Overview
Clarabridge was a leading provider of customer experience management (CEM) and conversational analytics solutions that helped organizations analyze customer feedback and interactions across multiple channels including social media, surveys, chat, email, and voice. The company specialized in text analytics, sentiment analysis, and speech analytics, using natural language processing (NLP) and AI to help businesses understand customer sentiment and improve customer experience. While Clarabridge operated in the broader customer experience and analytics space rather than traditional advertising technology, it provided valuable insights that informed marketing and customer engagement strategies. In October 2021, Clarabridge merged with Qualtrics XM Discover (formerly Medallia's text analytics division) under the Qualtrics brand, effectively ending its independent operations. The combined entity operates under Qualtrics, which was acquired by SAP and later taken private.
Products & Features
Clarabridge CX Analytics
Unified platform for analyzing customer feedback across all channels using text and speech analytics
Text Analytics
Natural language processing engine for analyzing unstructured text from surveys, social media, reviews, and other sources
Speech Analytics
AI-powered analysis of customer service calls to identify trends, compliance issues, and improvement opportunities
Social Listening
Monitor and analyze customer sentiment and conversations across social media platforms
Sentiment Analysis
Advanced sentiment detection and emotion analysis across customer interactions
Key Features
Multi-channel customer feedback analysisNatural language processing and understandingReal-time sentiment analysisSpeech-to-text transcription and analyticsCustomizable dashboards and reportingTopic and theme extractionPredictive analyticsMulti-language support
Use Cases
Customer service quality monitoringVoice of Customer (VoC) programsSocial media monitoring and brand reputation managementProduct feedback analysisCompliance monitoring in contact centersCustomer journey analyticsChurn prediction and prevention
Customer Segments
Financial ServicesRetailHealthcareTelecommunicationsHospitalityInsurance