Question: Is there a service that can help me identify trends and sentiment in customer feedback?

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Anecdote

If you're looking for a service to spot trends and sentiment in customer feedback, Anecdote is a good choice. Anecdote is a customer feedback analytics service that can spot trends and sentiment in real time by monitoring and analyzing customer feedback from the App Store, support requests, surveys and social media. It uses its own Natural Language Processing Engine to spot bugs, sentiment trends and opportunities for improvement. With automated AI tagging, customizable alerts and integration with more than 65 feedback sources, Anecdote can help companies reduce churn, lower support requests and improve the customer experience.

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ClientZen

Another good option is ClientZen, a customer feedback analysis service that can automate the processing, analysis and monitoring of customer feedback across the customer journey. ClientZen offers insights that can help companies improve product development, customer satisfaction and business results. It offers AI-powered data cleaning and auto-tagging, real-time impact monitoring and advanced segmentation. It's geared for teams including customer experience, support, product management and marketing, so it's a good option for companies that want to pay for a service that can handle feedback analysis without a lot of heavy lifting.

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Enterpret

If you want to go even more AI-crazy, look at Enterpret. Enterpret aggregates customer feedback from social media, sales calls and support requests with adaptive AI models. It offers detailed insights to help companies grow their products and has a custom unified feedback taxonomy, powerful semantic search and an analytics suite. It's geared for product development teams and customer experience professionals who want to become more customer-centric by automating the categorization and analysis of feedback.

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MonkeyLearn

Last, consider MonkeyLearn, a no-code text analytics service that lets you clean, label and visualize customer feedback with artificial intelligence. MonkeyLearn offers immediate insights with customizable charts and visualizations, and it integrates with apps like Zendesk, Freshdesk and Google Sheets. It offers pre-built and custom machine learning models for text classification and data extraction, so you can automate text analysis and get useful insights without having to write any programming code.

Additional AI Projects

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Wootric

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

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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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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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Kraftful

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

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CustomerIQ

Automatically extracts and analyzes customer feedback from multiple sources, providing actionable insights to drive revenue and inform product decisions.

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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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Keatext

Analyze customer feedback from multiple sources with AI-driven suggestions to improve satisfaction, reducing analyst time by 98% and driving people-centric decisions.

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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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Essense

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

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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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Appinion

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

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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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Collectif

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

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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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zenloop

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

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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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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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VOC AI

Automate over 50% of customer questions with accurate answers, and gain deep insights into customer sentiment to drive business improvement.

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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.