Question: I'm looking for a platform that analyzes customer feedback from multiple sources, such as social media and review sites.

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Anecdote

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.

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CustomerIQ

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.

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ClientZen

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.

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Enterpret

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.

Additional AI Projects

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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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Essense

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

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Zefi

Consolidates user feedback from multiple sources, automatically categorizing and analyzing it to identify key patterns, trends, and emerging needs.

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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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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

Uncovers critical insights from every interaction, providing a single source of truth for businesses to drive meaningful change and improve experiences.

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Fibery

Unify customer feedback from multiple sources, and use AI to identify key insights, prioritize development, and inform data-driven product decisions.

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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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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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Qualtrics

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

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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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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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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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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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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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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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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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Gleap

Collects and analyzes customer feedback through visual bug reporting, live chat, AI-powered bot support, and surveys to inform product development and improve user experience.