Question: I need a tool to collect customer feedback and improve my e-commerce site's customer experience.

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Anecdote

For gathering customer feedback and optimizing your e-commerce site's customer experience, Anecdote is a good option. It offers real-time insights by monitoring and analyzing feedback from multiple channels, including App Store reviews, support messages, surveys and social media. The platform connects to more than 65 feedback sources and uses its own Natural Language Processing Engine to identify sentiment trends and areas of improvement. With features like bug analysis, automated AI tagging, and customizable alerts, Anecdote helps businesses reduce churn, support tickets and bug resolution time while reducing time spent on ticket tagging.

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InMoment

Another good option is InMoment, which uses AI to collect and connect unstructured and structured experience data from multiple sources. It offers a complete view of the customer journey with features like AI-powered surveys, reputation management, conversational intelligence, digital listening and advanced analytics. By collecting and connecting experience data across all touchpoints, InMoment enables teams to take targeted actions to address individual and repeat experience problems, driving revenue growth and profitability.

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ClientZen

ClientZen is another good platform, automating the cleaning, analysis and monitoring of feedback across the entire customer journey. It uses AI-powered data cleaning and auto-tagging to deliver actionable insights for product development, customer satisfaction and business success. With features like consolidation of feedback sources, real-time impact monitoring and GDPR compliance, ClientZen is designed for teams involved in customer experience, customer support, product management and more.

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CustomerIQ

For a more AI-infused approach, CustomerIQ collects, analyzes and quantifies customer feedback from multiple sources. It integrates with popular tools like Slack, Hubspot and Zendesk, and offers features like AI-driven highlight extraction, filtering and search. CustomerIQ enables teams to take action based on customer data, making it a good choice for marketing and product teams looking to drive revenue with data-driven insights.

Additional AI Projects

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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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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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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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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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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.

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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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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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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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Zefi

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

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Contentsquare

Uncover hidden opportunities to boost conversion, retention, and customer satisfaction with AI-powered insights and automated data capture across web and apps.

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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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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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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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Essense

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

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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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Webeyez

Identifies and resolves customer experience bottlenecks in real-time, maximizing conversions through AI-driven friction detection and actionable insights.

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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.