Question: Do you know of a platform that can collect and analyze customer feedback from multiple platforms to improve customer engagement and support?

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CustomerIQ

CustomerIQ is an AI-based system for marketing and product teams. It gathers, analyzes and quantifies customer feedback from many sources, including Slack, Hubspot, Zendesk and others, through native integrations and API connections. The system offers AI-based highlight extraction, filtering and search, so you can better organize and understand customer data. It also includes team alignment, an AI assistant and document editing and collaboration tools, and it's designed for enterprise-class security and scalability.

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Anecdote

Another strong contender is Anecdote, which provides real-time insights by continuously monitoring and analyzing feedback from App Store reviews, support messages, surveys and social media. It uses its own Natural Language Processing Engine to spot bugs, sentiment trends and opportunities for improvement. With integrations with more than 65 feedback sources, including Slack, and features like bug analysis, automated AI tagging, customizable alerts and semantic search, Anecdote can help businesses reduce churn, support tickets and bug resolution time.

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Enterpret

If you're more focused on product development and customer experience, Enterpret gathers and analyzes customer feedback with adaptive AI models. It gathers feedback from social media, sales calls, support tickets and community forums and provides detailed insights to fuel product growth. Features include a custom unified feedback taxonomy, powerful semantic search and user-friendly analytics, making Enterpret a good fit for product development teams and customer experience professionals.

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Feedbackly

Last, Feedbackly provides a range of tools to gather and analyze customer feedback from multiple touchpoints, with a focus on emotional experience and customer journey analytics. It comes with its Emotional Value Index (EVI) metric, multichannel feedback collection, real-time analytics and integration with popular tools like Slack, Teams and Salesforce. Feedbackly also offers personalized support and training, helping businesses improve customer satisfaction and get emotional insight into customer behavior.

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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ClientZen

Automates customer feedback analysis across the customer journey, providing actionable insights to improve satisfaction, loyalty, and business success.

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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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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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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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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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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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Qualtrics

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

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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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zenloop

Automates customer feedback analysis, identifying key drivers of satisfaction and dissatisfaction, and triggering targeted actions to improve customer experiences.

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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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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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Wootric

Capture feedback at key moments to understand what drives loyalty and improve customer experience.

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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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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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Colors AI

Automates customer feedback collection and analysis, enabling data-driven product development and customer segmentation through real-time trend identification and actionable 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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Alchemer

Gather and act on customer, market, and employee feedback with ease and affordability.

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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.