Feedback Navigator favicon Feedback Navigator vs FeedLens favicon FeedLens

Feedback Navigator

Feedback Navigator transforms raw customer feedback data into actionable insights through comprehensive analysis. The platform seamlessly integrates with popular review platforms like Trustpilot, Booking.com, and Yelp, while also supporting CSV file uploads and API connections for data input.

The system leverages advanced language models to perform detailed sentiment analysis, detect custom categories, and identify common customer requests. Users can establish automated workflows through webhooks and export analyzed data for further custom processing.

FeedLens

FeedLens revolutionizes mobile app review management through its sophisticated AI-powered platform. The software enables teams to efficiently extract actionable insights from thousands of app reviews while providing contextually relevant automated responses to user feedback.

The platform features comprehensive review analytics, competitor tracking capabilities, and seamless integration with popular ticketing tools like Freshdesk and Slack. Users can analyze review data through pre-built charts, engage with customized AI chatbots trained on app reviews, and maintain efficient workflows through various integrations.

Feedback Navigator

Pricing

Freemium
From 15$

FeedLens

Pricing

Freemium
From 30$

Feedback Navigator

Features

  • Built-in Data Sources: Integration with Trustpilot, Booking.com, and Yelp
  • Custom Categories: Flexible category definition for feedback classification
  • Sentiment Analysis: AI-powered sentiment extraction for overall and category-specific feedback
  • Request Detection: Identification of common customer requests
  • Custom Workflows: Webhook integration for automated processes
  • CSV Export: One-click data export for external analysis

FeedLens

Features

  • AI Insights: Extract actionable insights from app reviews automatically
  • Automated Responses: Generate contextually relevant replies to user reviews
  • Review Analytics: Access comprehensive data visualization and reporting tools
  • Competitor Analysis: Track and analyze competitor app reviews
  • Custom Chatbot: Interact with AI trained on your app reviews
  • Integration Support: Connect with Freshdesk, Slack, and other tools
  • Export Capabilities: Generate and schedule custom reports

Feedback Navigator

Use cases

  • Property management feedback analysis
  • Gym customer review monitoring
  • Product team feedback consolidation
  • Hotel guest review evaluation
  • Consulting insights generation
  • Restaurant chain review management

FeedLens

Use cases

  • App review management and response automation
  • User feedback analysis and insight extraction
  • Competitor monitoring and analysis
  • Customer support automation
  • Product insight gathering
  • User satisfaction monitoring
  • Review performance tracking

Feedback Navigator

FAQs

    How many credits are consumed per analysis?
    1 credit is consumed each time a user feedback is analyzed.

FeedLens

FAQs

    Why do I need FeedLens?
    FeedLens uses cutting-edge AI models to extract insights from app reviews, automate responses, and provide valuable product insights, saving time and scaling efficiently compared to manual review management processes.
    How does pricing per workspace work?
    FeedLens allocates quotas at the workspace level rather than per user or application. You can distribute your monthly quota across different applications or users within your workspace as needed.
    How do you track my app's reviews?
    FeedLens works with both public and private reviews. Simply provide your app's URL and API key to begin capturing and analyzing reviews.
    Is my data secure?
    Yes, FeedLens prioritizes data security, following highest standards of data storage and management, and is in the process of obtaining ISO 27001 certification.

Feedback Navigator

Uptime Monitor

Average Uptime

100%

Average Response Time

174.86 ms

Last 30 Days

FeedLens

Uptime Monitor

Average Uptime

99.62%

Average Response Time

384 ms

Last 30 Days

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