If you need a system to gather and analyze customer feedback from many sources, Anecdote is a strong contender. It can provide real-time insights by continuously monitoring and analyzing feedback from places like App Store reviews, support tickets, surveys and social media. Anecdote uses its own Natural Language Processing Engine to spot sentiment trends and trouble spots, and it can integrate with more than 65 feedback sources. The system is good for global customer-centric teams, since it can handle data in many languages and has features like bug tracking and customizable alerts.
Another strong contender is Medallia, which can gather and analyze feedback from a variety of sources, including surveys, speech analytics, digital behavior and social media. Medallia's AI-powered analytics and self-service administration tools let companies improve customer loyalty and employee engagement. It also has role-based reporting and enterprise-level security, so it's good for companies in the automotive, financial services and health care industries.
For a more complete solution, ClientZen automates feedback cleaning, analysis and monitoring across the customer journey. It gives you insights to inform product development and customer satisfaction. Among its features are AI-powered data cleaning, auto-tagging and real-time impact monitoring. ClientZen is for teams involved in customer experience, support, product management and marketing, and it can integrate with other customer voice platforms.
Last, Enterpret centralizes and analyzes customer feedback with adaptive AI models. It combines social media, sales calls, support tickets and community forums, giving product growth teams and customer experience staff detailed insights. Features like a custom unified feedback taxonomy and powerful semantic search make Enterpret good for product development teams and customer experience staff who want to move their customer-centric work to the next level.