If you want to analyze customer feedback and get useful results fast, Enterpret is a good option. The service aggregates feedback from multiple sources, including social media, sales calls and support tickets, using AI models to extract the information. It comes with a custom unified feedback taxonomy, powerful semantic search and easy-to-use analytics, making it a good option for companies that want to simplify their customer feedback process and get the best possible insights.
Another good option is Anecdote, which uses its own Natural Language Processing Engine to analyze feedback from a variety of sources, including App Store reviews, support messages, surveys and social media. It can integrate with more than 65 feedback sources and includes features like bug analysis, automated AI tagging, customizable alerts and survey analysis. It's good for reducing churn, reducing support tickets and improving customer satisfaction.
ClientZen automates the processing, analysis and monitoring of feedback across the customer journey so you can get useful information to improve product development and customer satisfaction. It includes AI-powered data cleaning and auto-tagging, real-time impact monitoring and advanced segmentation, so it's good for teams involved in customer experience, customer support, product management and other areas.
Last, Sauce has AI-powered tools to automatically gather and analyze customer feedback, with results in less than 5 minutes. It integrates with Slack, Intercom and Zendesk, and can cluster and segment customers in real time by attributes. It's good for teams that want to improve product adoption, reduce churn and improve customer satisfaction by quickly addressing the top issues.