Question: I'm looking for a solution that extracts valuable insights from customer feedback on my mobile app.

If you want a way to mine useful information out of customer feedback in your mobile app, Enterpret is a good choice. It collects and analyzes customer feedback from social media, support requests and community forums, using adaptive AI models to offer detailed information. That can help you set product priorities and become more customer-focused with features like a custom unified feedback taxonomy and sophisticated semantic search.

Another good option is Appinion, an AI-powered service that transforms customer reviews into usable information. Appinion uses AI models for sentiment analysis and topic modeling, and it offers detailed reports and a single monitoring system for multiple apps. That can help you improve user satisfaction and make decisions based on data, and it comes in four pricing tiers depending on how many people need to use it.

Essense collects and analyzes qualitative customer feedback and competitor reviews from multiple sources, providing insights that inform product roadmaps and marketing campaigns. With features like customer feedback analysis, competitor analysis, and brand sentiment analysis, Essense is designed to simplify the customer feedback process and support data-driven decision-making.

For real-time customer feedback analysis, Anecdote uses its own Natural Language Processing Engine to monitor and analyze feedback from App Store reviews, support messages, surveys and social media. It can integrate with more than 65 sources of feedback, and it offers features like bug analysis and automated AI tagging, so it's good for optimizing the customer experience and reducing churn.