If you're looking for a platform to better understand your customers without cookies or individual-level tracking, CustomerIQ is worth a look. This AI-based platform aggregates and analyzes customer feedback from Slack, Hubspot, Zendesk, and Intercom. It includes AI-powered highlight extraction and filtering so you can curate and understand customer data, spot feature requests and take action. CustomerIQ also offers team alignment tools and enterprise-grade security and scalability.
Another interesting option is Enterpret, which aggregates and analyzes customer feedback with adaptive AI models. It combines insights from social media, sales calls, support tickets and community forums, and offers detailed insights to drive product growth. Among its features are a customizable unified feedback taxonomy, semantic search, and analytics suite. It's geared for product development teams and customer experience people who want to get feedback without the hassle of collecting it and want more accurate insights.
ClientZen is designed to automate the cleaning, analysis and monitoring of feedback across the customer journey. It's designed to eliminate manual tagging hassles by automatically aggregating and tagging feedback, and it offers insights that can help product development and customer satisfaction. The service can track real-time impact and can integrate with popular customer voice platforms, making it a relatively inexpensive option for businesses that want to improve the customer experience.
If you need something fast and easy, Sauce automates the collection and analysis of customer feedback, delivering results in less than 5 minutes. It integrates with Slack, Intercom and Zendesk and can import historical data with a CSV file. Sauce is designed to spot important trends and problems in feedback, helping teams increase product adoption and customer satisfaction while lowering churn and improving customer experience.