Question: Is there a software that integrates with my CRM and helpdesk tools to streamline customer feedback collection and analysis?

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Zefi

If you need software that integrates with your CRM and helpdesk tools to gather and analyze customer feedback, EvaluationsHub) is worth a look. This B2B customer success platform automates customer and supplier health assessments, consolidates feedback from multiple sources, and gives a single view of business relationships through metrics like NPS and Customer Effort Scores. It integrates with more than 800 software providers, so you don't have to wrestle with manual data imports and exports and can automate workflows, making it a good choice for companies of all sizes and industries.

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CustomerIQ

Another good option is CustomerIQ, an AI-powered tool for marketing and product teams. It collects, processes and quantifies customer feedback from a variety of sources, including native integrations with Slack, Hubspot, Zendesk, Intercom and others. With AI-powered highlight extraction, filtering and search, CustomerIQ helps teams understand customer data, spot feature requests and take action to maximize revenue. The tool also comes with enterprise-grade security and scalability, so it's good for teams that want to get a handle on customer feedback.

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ClientZen

For a more advanced option, ClientZen automates cleaning, analysis and monitoring of feedback across the customer journey. It consolidates feedback sources, tracks real-time impact, and uses AI-powered data cleaning and auto-tagging to surface critical issues and emerging trends. The tool is geared for teams working on customer experience, customer support, product management and other areas, helping companies improve customer satisfaction and drive strategic growth.

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Sauce

Last, there's Sauce, an AI-powered tool that automates customer feedback collection and analysis. It integrates with Slack, Intercom and Zendesk, and uses sophisticated AI clustering technology to spot important feedback trends in less than 5 minutes. Sauce helps teams improve product adoption, reduce churn and improve customer experience by zeroing in on the most important customer needs quickly and efficiently.

Additional AI Projects

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EvaluationsHub

Automates customer and supplier health assessments, aggregating feedback from multiple sources to increase retention rates by up to 80%.

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Enterpret

Aggregate customer feedback from multiple sources, analyze with adaptive AI models, and uncover actionable insights to inform product development decisions.

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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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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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Feedback Rivers

Unifies customer feedback from multiple sources, providing AI-driven insights and organized Slack channels for actionable customer understanding.

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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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Anecdote

Uncover actionable insights from customer feedback across multiple sources, including reviews, messages, and social media, to inform data-driven product development and decision-making.

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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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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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Collectif

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

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Cycle

Capture product feedback from multiple sources, automate insights with AI, and collaborate on customer-driven roadmaps in a streamlined workflow.

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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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Ultimate

Automates over 60% of customer support requests across multiple channels, delivering faster response times, improved efficiency, and personalized interactions.

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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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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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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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Essense

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

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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.