Feeedback is a platform that transforms customer voices into actionable insights and business growth opportunities.
Features
Instant social proof
Showcases authentic reviews to boost conversions by up to 52.2%, enhancing social credibility and trust with potential customers.
Effortless feedback collection
Allows users to quickly gather valuable insights using pre-made templates through widgets for efficient feedback collection.
Automatic testimonial capture
Automatically collects testimonials from Stripe clients, enabling businesses to effortlessly maintain positive customer reviews.
Proactive churn detection
Detects potential churn in customers and provides tools to engage and retain users before they leave.
Centralize testimonials
Organizes and manages reviews from platforms like Senja and Trustpilot to build trust with aggregated positivity.
Turn feedback into features
Enables businesses to prioritize improvements and developments based on actual user feedback and needs.
Advanced AI-driven insights
Provides sophisticated analysis and insights from feedback data to help businesses make data-driven decisions.
API and nocode integrations
Offers API and nocode integration options for seamless incorporation into existing systems and workflows.
Customer discussions
Engage directly with users to better understand their needs and improve product offerings.
Sentiment Analysis
Utilizes sentiment analysis to identify customer dissatisfaction early and reduce churn in SaaS businesses through targeted actions and product improvements.
Feedback Aggregation
Gathers and utilizes third-party feedback to enhance SaaS products, reduce churn, and boost user satisfaction.
Advocacy Automation
Automates advocacy programs to enhance customer engagement, streamline feedback collection, and improve overall performance.
Churn Early Warning Systems
Implements early warning systems to help SaaS businesses identify churn risks and take proactive measures to retain customers.
AI-driven Product Iteration
Utilizes AI to process feedback, rank updates, and improve testing in SaaS companies.
Real-time sentiment tracking
Feeedback offers real-time monitoring through customizable in-app widgets to instantly gather customer feedback and identify churn risks early.
AI analysis
The platform uses AI to uncover critical issues in customer feedback, highlight common pain points, prioritize feature requests, and track sentiment trends over time.
Customer review display tools
Feeedback includes tools for displaying customer reviews that integrate with websites and apps, boosting trust and conversions by turning feedback into trust signals.
AI Feedback Analysis
Utilizes artificial intelligence to analyze and rank product features based on customer feedback, helping businesses prioritize feature development.
Third-party Feedback Integration
Aggregates feedback from external sources to provide a comprehensive view of customer opinions and improve SaaS products.
Advocacy Program Automation
Automates customer advocacy programs to enhance engagement and streamline feedback collection processes.
Early Warning System for Churn
Implements early warning systems to identify churn risks proactively, enabling timely interventions to retain customers.
AI-Driven Personalization
Uses AI to personalize communication, analyze feedback for trends, and predict program performance, enhancing advocacy experiences.
Data Security Measures
Ensures advocate data protection through encryption, access controls, and regular security audits.
Automated Recognition Systems
Tracks activities like testimonials and referrals, rewarding advocates with digital badges and exclusive perks.
Churn prediction model
Create, evaluate, and score a churn prediction model using key metrics like reduced activity, support complaints, and billing issues to identify potential churn risks early.
User activity tracking
Track user behavior, such as daily logins, feature use, and time spent on the platform, to identify decreases that may indicate churn risks.
Customer support monitoring
Analyze support interactions to identify dissatisfaction that might lead to churn, with alerts for issues like repeated tickets and increased volume.
Financial behavior analysis
Monitor payment and billing issues such as failed payments and downgrades, which may signify reevaluating commitment and potential churn.
Alert systems
Set up alerts for potential churn risks based on activity drops, unresolved tickets, or payment failures, with specified severity levels and response timeframes.
Data integration
Integrate data from usage analytics, support interactions, and feedback collections to create a comprehensive view of customer satisfaction and potential churn.
Quick Feedback Collection
Use pre-designed templates to gather input on email content relevance, preferred timing, feature suggestions, and overall satisfaction with communication.
Segmentation
Segment customers based on behavior data like usage level, account type, industry, and lifecycle stage for more targeted messaging.
Email Sequence Planning
Design well-structured email sequences that guide customers through their journey, ensuring timely and relevant engagements.
Feedback Processing
AI organizes data from surveys, tickets, and social media to highlight key issues and requests, turning raw feedback into structured insights.
Emotional Analysis
AI detects user emotions like frustration and enthusiasm to prioritize urgent needs and understand the emotional context of feedback.
Feature Request Ranking
AI scores feature requests by analyzing user feedback and business data, helping teams prioritize updates based on user significance and development effort.
Smarter A/B Testing
AI enhances A/B testing by analyzing user behavior and preferences, leading to more accurate and relevant test results for specific user groups.
Trend and Resource Planning
AI identifies rising feature requests, aligns updates with team resources, and schedules launches optimally, ensuring both immediate and long-term goals are met.
Real-time Feedback Processing
Automatically collects and analyzes user input as it comes in, enabling quick insights into user needs.
AI-Driven Prioritization
Uses AI to spot patterns in feedback and highlight key opportunities for development, ensuring features are aligned with user demand and business impact.
Custom Domain Integration
Offers branding enhancements that encourage higher response rates from users, integrating seamlessly into existing environments.
Centralized Data Hub
Combines all feedback into a single, development-focused dashboard, simplifying analysis and action.
Direct User Engagement
Provides contextual understanding of feature requests, leading to better prioritization in the development process.