Built from the ground up to power Customer Experience Management programs, CX Analytics enables companies to easily interpret and act on all customer feedback with the industry’s most accurate natural language processing, sentiment analysis, and flexible data categorization.
Deliver outstanding customer service through social channels with CX Social. Listen, analyze, and gain insight into conversations happening online and in social media. Whether it’s through Facebook, Instagram, Twitter, blogs, forums, or online communities, develop real human relationships by identifying and engaging with your customers in real time, where they are.
Enables you to capture and understand your customer’s thoughts and emotions at crucial touchpoints throughout their customer journey. CX Survey uses the industry’s best-in-class text and sentiment analytics to quickly make sense of their feelings. It looks at the quantitative, structured data and qualitative, open-ended results together. Pair this with the rest of your omni-source social and interaction data to create a complete picture of the customer experience.
Clarabridge CX Contact Center
Your customers interact with your contact center daily—calling, emailing, and chatting. When analyzed properly, each of these sources can uncover ways to improve the customer experience with your brand’s products and services. Tap into this rich source of customer intelligence with Clarabridge CX Contact Center, a completely hosted solution.
Fast and Accurate Voice Transcription
Clarabridge helps you transcribe audio recordings into text and then immediately into structured, reportable data. Clarabridge’s Voice Transcription Service uses a patented chip-based algorithm to transcribe voice of the customer data 10 times faster than software-based transcription engines, and with higher accuracy.
Impact Customer Experience Across the Business
Break your contact center out of its silo! Combine call data with agent notes, chat logs, surveys, social media posts, and CRM data. CX Contact Center uses industry-optimized Natural Language Processing (NLP) and sentiment analysis to tell you what customers and agents are discussing and how they feel. Identify opportunities to improve self-service or contact metrics like First Contact Resolution. Evaluate how and why sentiment and emotion change and fix the root cause of customer satisfaction (CSAT, NPS) issues.