One of the best is Anecdote, which gives you a real-time view of what customers are saying in App Store reviews, support requests, surveys and social media posts. With its own Natural Language Processing Engine, Anecdote can spot sentiment and bugs, and it can automatically tag posts with AI tags and send alerts based on your own configuration. It's particularly good for customer-centric teams spread across many countries who want to reduce churn and improve customer satisfaction.
Another good option is CustomerIQ, an AI-powered service that collects and analyzes customer feedback from sources like Slack, Hubspot, Zendesk and others. Its AI-powered features can spot feature requests, pain points and preferences, and it can help teams decide what to do and how to improve the customer experience. CustomerIQ is designed for enterprise-class security and scalability, but it's suitable for any company.
If you want a more centralized customer feedback system, check out Enterpret. It uses adaptive AI models to mine social media, sales calls, support requests and community forum posts. Enterpret offers detailed feedback analysis and insights, which can help product development teams and customer experience staff to get a better handle on feedback and to improve product growth.
Last, ClientZen offers a more all-purpose system that automates the processing, analysis and monitoring of customer feedback across the customer journey. It can help companies spot problems, trends and sentiment shifts so they can improve customer satisfaction and drive business strategy. ClientZen integrates with customer voice platforms and offers flexible pricing, so it's a good option for businesses of any size.