If you want a tool to analyze customer feedback from many sources, Anecdote is a good option. It can provide real-time insights by tracking feedback from the App Store, support messages, surveys and social media. With its own Natural Language Processing Engine, Anecdote can spot bugs and sentiment shifts. It can track feedback from more than 65 sources and has features like bug analysis, AI tagging and customizable alerts. That makes it a good choice for teams that want to cut churn and improve customer satisfaction.
Another option is CustomerIQ, an AI-based service that collects and analyzes customer feedback from a variety of sources like Slack, Hubspot and Zendesk. It can extract, filter and search for highlights with AI, letting teams focus their work and generate revenue. With tools like team alignment, an AI assistant and document collaboration tools, CustomerIQ is geared for marketing and product teams that want to get more out of their customer feedback.
ClientZen is another all-purpose tool that automates the processing, analysis and monitoring of feedback across the customer journey. It tries to get rid of feedback tagging hassles by collecting feedback and automatically tagging it, spotting problems and sentiment changes. With features like real-time impact monitoring and AI-based data cleaning, ClientZen is geared for teams in customer support, product management and marketing who want to improve customer satisfaction and retention.
If you're focused on product growth, Enterpret offers a single, adaptive AI model to dig into customer feedback. It collects feedback from social media, sales calls and support tickets, and offers a semantic search and analytics tool. Enterpret is geared for product development teams and customer experience professionals who want to get a better handle on what's really going on and who want to automate their feedback process.