Question: Is there a tool that can help me understand customer opinions and sentiment about my company across different online sources?

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Anecdote

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.

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CustomerIQ

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.

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Enterpret

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.

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ClientZen

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.

Additional AI Projects

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Essense

Analyze customer feedback and competitor reviews from multiple sources to inform product roadmaps and marketing strategies with actionable insights.

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Reputation

Aggregates internal and external data from hundreds of sources, providing a comprehensive view of a brand and predicting consumer expectations with AI-driven insights.

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InMoment

Captures and connects experience data from every touchpoint, generating richer insights and predicting customer intent to empower targeted actions.

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YouScan

Analyze social media text, images, and audience data to uncover customer sentiment, brand reputation, and trends, with AI-powered visual and audience insights.

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Olvy

Automatically gather and analyze customer feedback from multiple sources, transforming raw data into actionable insights with AI-powered summaries and reports.

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Sauce

Automates actionable customer insights in under 5 minutes, surfacing key trends and issues through AI clustering, and prioritizing feedback by customer attributes.

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Medallia

Uses machine learning to extract key insights from every interaction, spotting trends and prioritizing actions to drive customer loyalty and employee engagement.

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Dovetail

Centralizes customer data in a single repository, surfacing key moments and common themes to uncover unmet needs and drive data-driven product decisions.

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Eclipse AI

Aggregates omnichannel customer data for actionable insights, driving retention and revenue through centralized, location-specific, and AI-powered analysis.

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Iterate

Unifies customer insights across teams, providing a single platform for gathering and analyzing feedback to inform customer-centric decision making.

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Kraftful

Analyzes customer feedback from various sources, surfacing actionable insights, sentiment trends, and pain points to inform product development decisions.

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Qualtrics

Reveals actionable insights across customer, employee, and market research, empowering organizations to make better decisions and fuel growth.

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Syncly

Centralizes customer feedback, analyzing sentiment trends and flagging critical issues in real-time, enabling data-driven decisions to improve customer experience.

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Deep Talk

Analyze customer and employee feedback from multiple sources, uncovering sentiment, trends, and patterns to drive business improvements and enhanced satisfaction.

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Collectif

Automates analysis of user feedback, interviews, and support tickets, surfacing insights to inform product and growth decisions.

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Monterey AI

Automates collection, analysis, and action on customer feedback from various data sources, enabling data-driven decisions and optimized product development.

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MonkeyLearn

Analyze customer feedback with ease using a no-code, AI-powered text analytics tool that offers instant insights and customizable visualizations.

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Canny

Centralize customer feedback, analyze and prioritize requests, and create public or private roadmaps to build a better product roadmap, all in one place.

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Sprig

Uncover user feedback trends, make data-driven product decisions, and improve user experience with AI-powered surveys, replays, and feedback analysis.

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Appinion

Automates qualitative data analysis to turn user reviews into actionable insights, enabling informed decisions and swift responses to sentiment changes.