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70 Listings in Customer Feedback Available
What is Birdie? Birdie is customer feedback analytics software offering AI software that analyzes customer feedback from reviews, tickets and surveys. Birdie helps product and CX teams work more efficiently and achieve better outcomes. Key features of Birdie Feedback analysis Opportunity detection Review analytics Dashboards Analytics and reporting Integrations with Zendesk, Intercom, Salesforce and more Who uses Birdie? Birdie is built for product and CX teams. It suits teams that want feedback analysis without spreadsheets and disconnected tools. Why choose Birdie? Compared with alternatives like Enterpret, Birdie differentiates on feedback analysis. Pricing is quote-based and scoped to your usage and team size.
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What is Yogi? Yogi is product review analytics software offering AI analysis of product ratings and reviews for consumer brands. Yogi helps consumer brands work more efficiently and achieve better outcomes. Key features of Yogi Review analytics Competitor insights Product feedback Alerts Analytics and reporting Integrations with Zendesk, Intercom, Salesforce and more Who uses Yogi? Yogi is built for consumer brands. It suits teams that want review analytics without spreadsheets and disconnected tools. Why choose Yogi? Compared with alternatives like Revuze, Yogi differentiates on review analytics. Pricing is quote-based and scoped to your usage and team size.
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Explore how leading Customer Feedback solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the Customer Feedback ecosystem.
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Typeform
#1 in Customer Feedback
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Noora
From $14/mo
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Usersnap is a visual feedback and bug reporting platform that helps product, design, and QA teams collect precise, contextual feedback directly on their websites and web apps. Users and testers annotate a page with screenshots and notes, and Usersnap automatically attaches technical metadata so developers can reproduce and resolve issues quickly. Beyond bug capture, Usersnap doubles as a feedback and micro-survey tool: teams can run NPS surveys, feature request boards, and in-product feedback widgets to understand user sentiment across the product lifecycle. Customizable forms, anonymous feedback, dashboards, and role-based permissions make it usable for both internal QA and customer-facing feedback collection. Usersnap integrates with development and project tools like Jira, Trello, GitHub, and Slack so feedback flows straight into existing workflows. It offers a free tier for the first feedback items and paid plans that scale by project and volume, typically from around 79 dollars per month up through Company and Premium tiers, plus custom Enterprise. It competes with Marker.io, Userback, and BugHerd as a leading website feedback and bug reporting tool.
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What is BuildBetter? BuildBetter is AI product insights software offering an AI platform that turns calls, support tickets and feedback into product insights and documents. Founded in 2021 and based in San Francisco, California, USA, BuildBetter helps product and GTM teams work more efficiently and achieve better outcomes. Key features of BuildBetter Call recording and analysis Feedback aggregation AI documents and PRDs Signal tracking Analytics and reporting Integrations with Zendesk, Intercom, Gong and more Who uses BuildBetter? BuildBetter is built for product and GTM teams. It suits teams that want call recording and analysis without spreadsheets and disconnected tools. Why choose BuildBetter? Compared with alternatives like Enterpret, BuildBetter differentiates on call recording and analysis. Pricing is quote-based and scoped to your usage and team size.
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Userback is a visual feedback and bug tracking tool built for product teams and SaaS companies to collect annotated feedback on websites, web apps, images, and PDFs. Users capture screenshots or video, mark up exactly what they mean, and Userback records the technical context so teams can act on precise, reproducible input rather than vague descriptions. The platform centers on customizable feedback widgets and branded forms that you embed in your product, giving you a direct channel for bug reports, feature requests, and general feedback. Screenshot and video annotation, real-time notifications, session capture, and user identification help teams prioritize issues, while organization by project keeps feedback structured across multiple sites or clients. Userback offers a Free Forever plan with two projects and short feedback retention, then paid Team, Business, and Business Plus tiers - roughly 29, 79, and 159 dollars per month - that add projects, integrations, and advanced controls. It integrates with tools like Jira, Trello, Slack, Basecamp, and Azure DevOps, and competes with Usersnap, Marker.io, and BugHerd as a flexible, affordable website feedback platform.
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Beamer is a changelog and product announcement tool that helps companies keep users informed about new features, updates, and news through an in-app What's New widget and a standalone changelog page. Its polished notification widget - the familiar bell icon with a badge - drives users to read product updates without leaving the app, boosting feature awareness and adoption. Beyond announcements, Beamer offers add-on modules for user feedback and NPS surveys, so teams can not only broadcast updates but also gather reactions and sentiment in the same tool. Segmentation lets you target announcements to specific user groups, and analytics show how updates perform, tying product communication to engagement. Beamer prices by monthly active users, with plans ranging from around 49 dollars to 249 dollars per month on annual billing across three tiers; the Feedback and NPS capabilities are paid add-ons, so total cost can climb once you factor in MAU growth and features. Aimed at product and marketing teams that want a simple, effective way to announce updates and drive adoption, it competes with AnnounceKit, LaunchNotes, Canny, and Frill.
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What is Testimonial.to? Testimonial.to is video testimonials software offering a tool for collecting video and text testimonials and embedding them on websites. Founded in 2021 and based in San Francisco, California, USA, Testimonial.to helps creators and small businesses work more efficiently and achieve better outcomes. Key features of Testimonial.to Video and text testimonial collection Wall of love embeds Import from social platforms No-code widgets Analytics and reporting Integrations with Webflow, WordPress, Framer and more Who uses Testimonial.to? Testimonial.to is built for creators and small businesses. It suits teams that want video and text testimonial collection without spreadsheets and disconnected tools. Why choose Testimonial.to? Compared with alternatives like Senja, Testimonial.to differentiates on video and text testimonial collection. Pricing is quote-based and scoped to your usage and team size.
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What is Keatext? Keatext is text analytics software offering AI text analytics for customer feedback across surveys, reviews and support. Based in Montreal, Quebec, Canada, Keatext helps CX teams work more efficiently and achieve better outcomes. Key features of Keatext Sentiment analysis Topic detection Alerts Recommendations Analytics and reporting Integrations with Zendesk, Intercom, Salesforce and more Who uses Keatext? Keatext is built for CX teams. It suits teams that want sentiment analysis without spreadsheets and disconnected tools. Why choose Keatext? Compared with alternatives like Kapiche, Keatext differentiates on sentiment analysis. Pricing is quote-based and scoped to your usage and team size.
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What is Reputation? Reputation is reputation experience management software offering reputation management, reviews, listings and customer feedback software for multi-location brands. Reputation helps multi-location businesses work more efficiently and achieve better outcomes. Key features of Reputation Review management Listings Surveys Social listening Analytics and reporting Integrations with Google Business Profile, Facebook, Yelp and more Who uses Reputation? Reputation is built for multi-location businesses. It suits teams that want review management without spreadsheets and disconnected tools. Why choose Reputation? Compared with alternatives like Birdeye, Reputation differentiates on review management. Pricing is quote-based and scoped to your usage and team size.
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SurveyLegend is an online survey tool for creating beautiful, mobile-friendly surveys, forms, and polls with a drag-and-drop builder that requires no coding. It focuses on visually engaging surveys that look great on any device, aimed at businesses, researchers, and individuals who want attractive surveys without complexity. The platform offers a range of question types, image-based and interactive questions, real-time analytics, and customizable design, so surveys feel modern and on-brand. It supports market research, customer feedback, employee surveys, event registration, and lead generation, with results displayed in visual dashboards for easy analysis. SurveyLegend has a free Starter plan usable for short surveys (up to 3 active surveys, 1,000 responses each), a Pro plan at 19 dollars per month (170 dollars per year), a Business plan at 39 dollars (300 dollars per year), and a Legendary plan at 89 dollars (780 dollars per year) with unlimited surveys and advanced features, plus a 25 percent discount on yearly plans and special rates for educators and non-profits. Aimed at anyone needing polished surveys, it competes with SurveyMonkey, Typeform, Jotform, SurveySparrow, and Formaloo.
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What is eKomi? eKomi is customer reviews software offering a customer reviews and ratings platform with verified feedback for businesses. Based in Berlin, Germany, eKomi helps businesses and online shops work more efficiently and achieve better outcomes. Key features of eKomi Review collection Seller ratings Product reviews Widgets Analytics and reporting Integrations with Shopify, Magento, Salesforce Commerce Cloud and more Who uses eKomi? eKomi is built for businesses and online shops. It suits teams that want review collection without spreadsheets and disconnected tools. Why choose eKomi? Compared with alternatives like Trusted Shops, eKomi differentiates on review collection. Pricing is quote-based and scoped to your usage and team size.
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Tally is a form builder with an unusual promise: create unlimited forms and collect unlimited responses for free. It works like writing a document, you just start typing and add form blocks with a "/" command, the way you would in a modern doc editor, which makes building a form feel fast and natural rather than fiddly. Despite being free, it includes features many tools charge for: conditional logic, calculations, file uploads, payment collection, answer piping, and integrations. Tally's model is freemium done generously: the core form building and unlimited responses are free forever, while a low-cost Pro plan adds branding removal, custom domains, team collaboration, and deeper customization, and Business adds data-retention and verification controls. It integrates with tools like Notion, Google Sheets, Slack, and Zapier to send responses where you need them. Its simplicity and price made it a fast-growing favorite among startups, creators, and indie makers who want a no-nonsense form tool. Tally suits startups, creators, small businesses, and anyone who wants a genuinely free, easy form and survey builder without response limits. Plans run Free, Pro, and Business, so cost only comes in when you want branding removal, custom domains, collaboration, or advanced controls.
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Customer feedback software helps organizations collect, analyze, and act on what customers think across surveys, reviews, support interactions, and product usage, turning scattered opinions into a structured signal that guides decisions. This guide explains what customer feedback software is, how it works, the features that matter, and how to choose the right platform.
Customer feedback software helps organizations collect, analyze, and act on what customers think across surveys, reviews, support interactions, and product usage, turning scattered opinions into a structured signal that guides decisions. This guide explains what customer feedback software is, how it works, the features that matter, and how to choose the right platform.
Customer feedback software is a platform for systematically gathering customer opinions and experiences, then analyzing them to understand satisfaction, sentiment, and needs. It captures feedback through surveys (NPS, CSAT, CES), in-app prompts, reviews, support tickets, and other channels, and consolidates it into actionable insight.
The purpose is to replace guesswork and anecdote with a continuous, structured understanding of how customers feel and what they want. Instead of feedback sitting in disconnected inboxes, survey tools, and review sites, the platform centralizes it, quantifies it, and routes it to the teams who can act.
The category spans dedicated survey and experience-management platforms, in-product feedback tools, and review-management solutions, increasingly unified under the banner of customer experience (CX) management. Companies adopt it because experience is a key differentiator, and acting on feedback drives retention, loyalty, and better products.
Feedback is collected at relevant moments through the right channel, a post-purchase survey, an in-app prompt after a key action, an NPS email, or a review request. Responses flow into a central system that scores, categorizes, and analyzes them, often using AI to detect themes and sentiment.
Core components include survey building and distribution, multichannel collection, sentiment and text analytics, dashboards and reporting, alerting, and closed-loop workflows that route issues to owners. Integrations with CRM, support, and product tools connect feedback to customer records and trigger action.
For example, a SaaS company sends an NPS survey after onboarding, automatically tags detractors' comments by theme, alerts the success team to follow up with at-risk accounts, surfaces recurring complaints to product, and tracks whether scores improve after changes ship, closing the loop from feedback to action to outcome.
Tools to create NPS, CSAT, CES, and custom surveys and distribute them via email, in-app, SMS, or web at the right moments. Flexible, well-timed surveys are the primary way structured feedback is captured, and timing strongly affects response quality and rate.
Gathering feedback from surveys, in-app prompts, reviews, support, and social in one place. Consolidating every source gives a complete picture rather than a fragmented one, which is essential for trustworthy insight.
AI analysis of open-ended responses to detect themes, sentiment, and emerging issues at scale. Text analytics turn thousands of comments into quantified, actionable themes that humans couldn't process manually.
Real-time views of scores, trends, and segments for different teams and stakeholders. Clear reporting makes feedback visible and actionable across the organization and tracks whether experience is improving.
Automated alerts and routing so detractors or critical issues reach the right owner for follow-up. Closing the loop, actually responding to and resolving feedback, is what turns measurement into retention and trust.
Connections to CRM, support, and product tools that tie feedback to customer records and trigger action. Integration makes feedback part of the operational workflow rather than a standalone report nobody acts on.
Structured, ongoing feedback replaces guesswork with a clear, current picture of satisfaction, sentiment, and needs.
Identifying and following up with dissatisfied customers before they leave protects revenue and improves retention.
Aggregated feedback reveals what customers actually want, guiding the roadmap toward changes that matter.
Themes and trends pinpoint where experience breaks down, so teams fix root causes rather than react to one-offs.
Shared feedback data gives product, support, and leadership a common, customer-centric basis for decisions.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| NPS & survey platforms | Relationship and transactional survey programs | SMB to enterprise | Easy to deploy, strong benchmarking | Survey-centric; may miss other signals |
| In-product feedback tools | Contextual feedback inside apps and products | SMB to enterprise | High-context, timely signals | Limited to digital product users |
| Experience management (CX) suites | Enterprise-wide voice-of-customer programs | Enterprise | Deep analytics and omnichannel reach | Complex and costly to deploy |
| Review & reputation tools | Collecting and managing public reviews | SMB to enterprise | Builds social proof and local SEO | Focused on public reviews, not deep analytics |
SaaS & Technology: Tech companies use customer feedback software to scale go-to-market motions, align teams, and operate efficiently as they grow.
Manufacturing: Manufacturers apply customer feedback software to manage complex, multi-stakeholder processes across long cycles and distributed operations.
Healthcare: Healthcare and life-sciences organizations use customer feedback software where accuracy, security, and compliance are non-negotiable.
Retail: Retailers use customer feedback software to manage high volumes, personalize engagement, and react quickly to demand.
Financial Services: Banks, insurers, and fintechs rely on customer feedback software for control, auditability, and regulatory compliance.
Education: Institutions and edtech firms use customer feedback software to manage stakeholders and scale programs efficiently.
Real Estate: Real-estate and property teams use customer feedback software to manage long cycles and high-value relationships.
Professional Services: Agencies and consultancies use customer feedback software to deliver client work profitably and forecast accurately.
E-commerce: Online retailers use customer feedback software to unify data across channels and grow customer lifetime value.
Clarify whether you need relationship NPS, transactional CSAT, product feedback, or reviews, the right platform depends on your primary objective.
Ensure the platform captures feedback through the channels and moments that fit your customer journey, from email to in-app to support.
Evaluate text and sentiment analytics, since the ability to turn open-ended comments into themes at scale is what separates insight from raw data.
Confirm the platform supports alerts and workflows to act on feedback, not just collect it, since action drives the value.
Check connections to your CRM, support, and product tools so feedback ties to customer context and triggers follow-up.
Favor tools non-technical teams can use to build surveys and read dashboards, since adoption across teams determines impact.
Look for benchmarks and the ability to segment feedback by customer, product, or journey stage for sharper insight.
Understand how pricing scales with responses, contacts, or features so it remains viable as your program grows.
AI text analytics extract themes, sentiment, and intent from open-ended feedback at scale, surfacing what customers care about without manual tagging.
Predictive models link feedback signals to churn and lifetime value, helping teams prioritize the customers and issues that matter most.
Generative AI summarizes feedback into clear narratives and even drafts personalized responses for closed-loop follow-up.
Expect AI to unify and interpret feedback across every channel into a continuous voice-of-customer signal; prioritize vendors with strong analytics and integrations, since the value is in action, not collection.
Customer feedback software is a platform for systematically collecting, analyzing, and acting on customer opinions and experiences. It gathers feedback through surveys like NPS, CSAT, and CES, in-app prompts, reviews, support interactions, and other channels, then consolidates and analyzes it to reveal satisfaction, sentiment, and needs. The purpose is to replace guesswork with a continuous, structured understanding of how customers feel and what they want, and to route that insight to teams who can act. Modern platforms include survey building, multichannel collection, AI-powered text and sentiment analytics, dashboards, and closed-loop workflows. By turning scattered opinions into an actionable signal, customer feedback software helps organizations reduce churn, improve experience, and build products customers actually want.
Net Promoter Score (NPS) is a widely used loyalty metric based on one question: how likely a customer is to recommend a company or product on a 0–10 scale. Respondents are grouped into promoters (9–10), passives (7–8), and detractors (0–6), and the score is the percentage of promoters minus the percentage of detractors, ranging from -100 to +100. NPS is popular because it's simple, benchmarkable across companies, and correlates with growth. Most platforms pair the score with an open-ended 'why' question whose comments are often more valuable than the number itself. NPS works best as part of a broader feedback program, tracked over time, segmented, and followed up through closed-loop processes, rather than treated as a single vanity number.
These are three common feedback metrics measuring different things. NPS (Net Promoter Score) measures overall loyalty and likelihood to recommend, making it a relationship metric. CSAT (Customer Satisfaction) measures satisfaction with a specific interaction or product, usually on a 1–5 scale, making it transactional. CES (Customer Effort Score) measures how easy it was to accomplish something, such as resolving a support issue, on the premise that low effort drives loyalty. They're complementary: NPS gauges the broad relationship, CSAT checks satisfaction at key touchpoints, and CES pinpoints friction in specific tasks. Good feedback programs use the right metric for each purpose, NPS for relationship tracking, CSAT after transactions, CES after support or onboarding, rather than relying on any one alone.
Closed-loop feedback is the practice of acting on feedback and following up with the customer, rather than just collecting and reporting it. The 'inner loop' is responding to individual feedback, reaching out to a detractor to resolve their issue, while the 'outer loop' is using aggregated feedback to fix systemic problems and improve products and processes. Customer feedback software supports this with alerts that route negative or critical feedback to the right owner, workflows to track follow-up, and analytics to surface recurring themes for systemic action. Closing the loop is what turns feedback from a passive measurement into a driver of retention and trust, because customers who see their feedback acted on feel heard. Collecting feedback without closing the loop wastes the effort and can even frustrate customers.
Feedback software reduces churn primarily by identifying dissatisfied or at-risk customers early and enabling timely follow-up. When a customer gives a low NPS or CSAT score or leaves a negative comment, the system can alert the account or success team to reach out, resolve the issue, and rebuild the relationship before the customer leaves. Beyond individual saves, aggregated feedback reveals the systemic problems driving churn, confusing onboarding, missing features, poor support, so teams can fix root causes and reduce future attrition. Some platforms also link feedback signals to churn prediction. The combination of early warning, closed-loop follow-up, and systemic improvement makes feedback one of the most direct tools for retention, since the customers most likely to leave often tell you why if you listen and act.
Survey fatigue happens when customers are asked for feedback too often or with surveys that are too long, lowering response rates and skewing results toward the very motivated. To avoid it, ask less but better: keep surveys short and focused, trigger them at meaningful moments rather than constantly, and respect frequency limits so the same customer isn't repeatedly surveyed. Use sampling rather than surveying everyone for every interaction, and make sure customers see that feedback leads to action, which sustains willingness to respond. Many platforms include fatigue controls and global frequency caps. The goal is a sustainable feedback program that gathers representative, high-quality responses over time, not one that burns out your customers with constant requests and then suffers declining, biased participation.
AI transforms feedback analysis by processing open-ended responses at scale. Text analytics automatically extract themes, detect sentiment, and identify emerging issues across thousands of comments that no team could read manually, turning unstructured feedback into quantified, actionable insight. AI can also link feedback signals to churn and lifetime value to prioritize the most important customers and issues, and generative AI can summarize feedback into clear narratives and even draft personalized follow-up responses. This shifts teams from drowning in raw comments to acting on synthesized insight. When evaluating platforms, scrutinize the quality of their text analytics, since naive keyword approaches produce misleading themes. Strong AI analytics are increasingly the difference between a feedback program that generates reports and one that drives real decisions and improvements.
The right channels depend on your business and customer journey, but a complete program usually spans several. Email and SMS surveys work for relationship NPS and post-transaction CSAT; in-app or website prompts capture contextual feedback at the moment of an action; support interactions yield CES and satisfaction signals; reviews provide public feedback and social proof; and social media surfaces unsolicited sentiment. Collecting from multiple channels gives a fuller, less biased picture than any single source. The key is to match the channel and timing to the moment, surveying right after a relevant experience while it's fresh, and to consolidate everything into one system so the signals combine rather than fragment. Start with the channels that cover your most important touchpoints and expand from there.
A basic survey tool focuses on creating and distributing surveys and tabulating responses. Customer feedback software is broader: it collects feedback from many channels beyond surveys, applies sentiment and text analytics to understand open-ended responses, provides dashboards and benchmarking, and, crucially, supports closed-loop workflows that route feedback to owners and track action. In other words, a survey tool helps you ask questions, while feedback software helps you build an ongoing program that consolidates, interprets, and acts on customer signals to improve experience and retention. For simple one-off surveys, a survey tool suffices, but for a continuous voice-of-customer program tied to business outcomes, the analytics, integrations, and closed-loop capabilities of dedicated feedback software deliver far more value.
Measuring feedback ROI means linking feedback activity to business outcomes rather than just response counts. Track whether closed-loop follow-up with detractors improves their retention, whether segments with rising NPS or CSAT show higher renewal and expansion, and whether product changes driven by feedback reduce related complaints and churn. Connecting feedback data to your CRM lets you correlate scores with actual revenue, retention, and lifetime value. You can also quantify saved accounts from inner-loop follow-up and reduced support volume from fixing systemic issues. The key is deliberate measurement: establish baselines, tie feedback to outcomes you care about, and report the connection. Programs that demonstrate links between acting on feedback and retention or revenue earn continued investment, while those that only report scores struggle to prove their worth.
Pricing varies with scope and scale. Simple NPS or survey tools start affordably, often priced by responses, contacts, or seats, while enterprise experience-management suites with omnichannel collection, advanced analytics, and closed-loop workflows cost substantially more. Common models charge by survey responses or monthly contacts, by feature tier, or per user, sometimes with separate fees for advanced text analytics. Total cost should include program design, integration with CRM and support tools, and the team time to run closed-loop follow-up. When budgeting, estimate your response volume and required channels and features, then map them to each vendor's model, watching for limits and overages. The right choice balances capability against cost at your scale, since value comes from acting on feedback, not just collecting more of it.
Customer feedback software is used across teams and industries. Customer experience and success teams run NPS and CSAT programs and lead closed-loop follow-up; product teams use feedback to prioritize the roadmap; support teams measure satisfaction and effort after interactions; marketing uses reviews and sentiment for reputation and messaging; and leadership tracks experience trends as a strategic metric. Industries range from SaaS and e-commerce to financial services, healthcare, retail, and hospitality, essentially anywhere customer experience affects retention and growth. Within organizations, it's valuable from startups validating product-market fit to enterprises running large voice-of-customer programs. The common thread is any team that needs to understand and act on what customers think systematically rather than relying on anecdotes, intuition, or the loudest voices in the room.
