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Ranked by user rating × review volume. See all Customer Feedback tools →
Average price: 70 products listed
70 Listings in Customer Feedback Available
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Savio is a customer feedback tracking tool built for B2B SaaS teams to centralize feature requests and product feedback from every channel and prioritize what to build. It pulls feedback from support tools, sales conversations, and other sources into one place, attaches it to customer and revenue data, and helps product teams decide what to build based on business impact rather than the loudest voice. The platform is designed for customer-facing teams to log feedback effortlessly and for product teams to prioritize with context - who asked, what plan they are on, and how much revenue is tied to a request. It integrates with help desks and CRMs so support and success can push feedback without leaving their tools, and it closes the loop by notifying customers when requested features ship. Savio charges per paid internal seat - Owners, Admins, and Managers - with unlimited free contributors, so cost scales with your product and CS team rather than tracked end-users. Plans run from around 39 dollars per month for Essential up to 249 dollars for Business, plus 23 to 49 dollars per additional paid seat, with a 14-day free trial and no free plan. Aimed at seed to growth-stage B2B SaaS, it competes with Canny, Productboard, Cycle, and Productlane.
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What is PowerReviews? PowerReviews is ratings and reviews software offering ratings, reviews and UGC software for brands and retailers. Based in Chicago, Illinois, USA, PowerReviews helps brands and retailers work more efficiently and achieve better outcomes. Key features of PowerReviews Review collection Syndication Q&A Insights Analytics and reporting Integrations with Shopify, WooCommerce, BigCommerce and more Who uses PowerReviews? PowerReviews is built for brands and retailers. It suits teams that want review collection without spreadsheets and disconnected tools. Why choose PowerReviews? Compared with alternatives like Bazaarvoice, PowerReviews differentiates on review collection. Pricing is quote-based and scoped to your usage and team size.
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What is Unwrap? Unwrap is AI feedback analytics software offering an AI platform that clusters and quantifies customer feedback from every channel into actionable themes. Founded in 2021 and based in Boston, Massachusetts, USA, Unwrap helps product and CX teams work more efficiently and achieve better outcomes. Key features of Unwrap Automatic theme clustering Trend alerts Feedback source integrations Natural language search Analytics and reporting Integrations with Zendesk, Intercom, Gong and more Who uses Unwrap? Unwrap is built for product and CX teams. It suits teams that want automatic theme clustering without spreadsheets and disconnected tools. Why choose Unwrap? Compared with alternatives like Enterpret, Unwrap differentiates on automatic theme clustering. Pricing is quote-based and scoped to your usage and team size.
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Cycle is an AI-powered product feedback and discovery platform that unifies customer feedback and user research into a single source of truth, then uses AI to extract insights and connect them to product delivery. It is built for modern product teams that want to capture feedback from every channel, understand it quickly, and close the loop with customers when features ship. The platform is deeply integrated with Linear and GitHub, so feedback and insights link directly to engineering work, letting teams tie customer requests to the issues that resolve them and follow through at each release. AI helps process and synthesize raw feedback into structured insight, reducing the manual effort of tagging and organizing input so product decisions are grounded in real customer voice. Cycle uses tiered pricing that starts with a free plan for small teams and scales to paid plans reported starting around 120 dollars per month, with Enterprise quoted by sales; pricing reflects team size and usage. Aimed at product-led teams, especially those using Linear, it competes with Productlane, Dovetail, Enterpret, Canny, and Productboard for feedback management and product discovery.
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What is Boast? Boast is video testimonials software offering software for collecting and showcasing video and text testimonials. Boast helps businesses collecting testimonials work more efficiently and achieve better outcomes. Key features of Boast Video testimonials Request forms Showcase widgets Integrations Analytics and reporting Integrations with Shopify, Magento, Salesforce Commerce Cloud and more Who uses Boast? Boast is built for businesses collecting testimonials. It suits teams that want video testimonials without spreadsheets and disconnected tools. Why choose Boast? Compared with alternatives like Vocal Video, Boast differentiates on video testimonials. Pricing is quote-based and scoped to your usage and team size.
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What is Grade.us? Grade.us is white-label review management software offering a white-label review management platform for marketing agencies managing client reputation. Founded in 2013 and based in Austin, Texas, USA, Grade.us helps marketing agencies work more efficiently and achieve better outcomes. Key features of Grade.us White-label review funnels Review monitoring across 100+ sites Automated review requests Agency reporting Analytics and reporting Integrations with Google Business Profile, Shopify, Facebook and more Who uses Grade.us? Grade.us is built for marketing agencies. It suits teams that want white-label review funnels without spreadsheets and disconnected tools. Why choose Grade.us? Compared with alternatives like Birdeye, Grade.us differentiates on white-label review funnels. Pricing is quote-based and scoped to your usage and team size.
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Junip is a modern reviews and ratings app built for Shopify brands, focused on high review capture rates, clean on-brand widgets, and photo and video UGC. It integrates with Klaviyo, Meta, and Google to put social proof to work across marketing channels. Junip targets DTC and Shopify merchants that want a fast, well-designed reviews solution with a generous free tier. Pricing is tiered by monthly orders, with a free plan and paid tiers for advanced features.
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Featurebase is an all-in-one platform that combines product feedback management with a customer support suite. On the product side, it offers feedback boards (capture and vote on feature requests), roadmaps, changelogs, and surveys to run the feedback-to-release loop; on the support side, it provides a shared inbox, live chat, and a help center. By bundling feedback and support (plus an AI agent), Featurebase lets teams both understand what customers want and help them, from one tool, which appeals to startups and product-led companies wanting to consolidate. The platform emphasizes a connected loop and AI. Feedback boards, roadmaps, and changelogs keep users engaged from request to shipped; surveys gather targeted input; and the support suite (inbox, live chat, help center) resolves questions, with an AI agent (Fibi) that can handle support conversations from your content. Featurebase includes integrations, custom domains and branding, and segmentation, and both its Product Suite and Support Suite are included in every plan. Its pricing is per seat (any admin who manages feedback or support), with AI resolutions billed per use. Featurebase serves startups and product-led teams that want feedback, roadmaps, changelogs, and support together. Pricing (per seat, with both suites included, and a free plan) is Free, then Growth around $29/seat/month, Professional around $59/seat/month, and Enterprise around $99/seat/month (monthly billing ~28–30% higher), plus $0.29 per AI resolution; there is an 86%-off early-stage startup program. It competes with Canny, Frill, Productboard, and Intercom, differentiating on combining product feedback and customer support in one platform.
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What is SatisMeter? SatisMeter is in-app NPS surveys software offering in-app NPS, CSAT and CES surveys for SaaS products. SatisMeter helps SaaS companies work more efficiently and achieve better outcomes. Key features of SatisMeter NPS surveys In-app targeting Segmentation Integrations Analytics and reporting Integrations with WordPress, Mailchimp, Stripe and more Who uses SatisMeter? SatisMeter is built for SaaS companies. It suits teams that want NPS surveys without spreadsheets and disconnected tools. Why choose SatisMeter? Compared with alternatives like Refiner, SatisMeter differentiates on NPS surveys. Pricing is quote-based and scoped to your usage and team size.
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AnnounceKit is a product update and changelog platform that helps companies ship announcements to users through in-app widgets, a hosted changelog page, email, Slack, and RSS. It centers on driving awareness and adoption of new features with more than ten in-app widget formats - sidebar, popup, modal, badge, drawer, top bar, and more - so users actually see and read product updates. The platform offers a hosted changelog on your own domain, in-app notification widgets, a roadmap, feedback collection, segmentation to target announcements, and analytics on how updates perform. It is built for product and marketing teams that want a flexible, well-designed way to communicate what they are shipping and keep users engaged. AnnounceKit uses flat per-project pricing with no per-seat fees and no MAU limits - unlimited visitors, posts, and team members - starting at Essentials around 79 dollars per month, Growth at 129 dollars (79 dollars annual), Scale at 339 dollars, and custom Enterprise. Some advanced features like custom CSS, Jira integration, multi-language, and SSO are gated to higher tiers. Aimed at product-led teams, it competes with Beamer, LaunchNotes, Olvy, Canny, and Frill.
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Sleekplan is an all-in-one customer feedback platform that bundles feedback boards, a public roadmap, a changelog, and satisfaction surveys into a single, affordable tool you can embed in your product. Teams collect feature requests and ideas on feedback boards where users vote and comment, prioritize and communicate what is coming via a roadmap, announce shipped work in a changelog, and measure sentiment with built-in CSAT/satisfaction surveys, closing the loop from "users ask" to "we shipped it" in one place. Its combination of feedback, roadmap, changelog, and surveys at a low price point makes it a popular Canny alternative for startups and small teams. The platform is built to make user feedback actionable and visible. Feedback boards with voting surface what users actually want; a public (or private) roadmap communicates priorities and progress; and an in-app changelog and widget keep users informed of updates without leaving the product. Sleekplan adds satisfaction surveys (a differentiator many feedback tools lack), user segmentation, prioritization, integrations, and an embeddable widget so the whole feedback experience lives inside your app. By unifying these product-feedback workflows affordably, it helps teams build what customers want and show them it happened. Sleekplan serves startups, SaaS teams, and product teams that want an affordable, all-in-one feedback and changelog tool. It offers a free plan (a feedback board and changelog to start), then paid tiers around $15/month and $38/month that add boards, the roadmap, surveys, segmentation, and the in-app widget, plus custom Enterprise pricing; a free trial is available. It competes with Canny, Frill, Featurebase, and Productboard, differentiating on bundling feedback, roadmap, changelog, and satisfaction surveys in one affordable platform.
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Jotform is a long-running, feature-rich online form builder used to create everything from simple contact forms to complex applications: surveys, registrations, order forms, job applications, and approval workflows. Its drag-and-drop editor, thousands of ready-made templates, and huge library of form fields and widgets make it possible to build almost any form without code, which is why it is popular across education, healthcare, nonprofits, and business. Beyond basic forms, Jotform includes conditional logic, payment collection through many gateways, e-signatures, PDF generation, approval workflows, tables and reports to manage submissions, and an app builder to turn forms into simple apps. It has added AI features (an AI form generator and AI agents) to speed up building. Pricing is based primarily on the number of monthly form submissions (with limits on forms and storage), and a free plan makes it easy to start. Jotform suits businesses, educators, nonprofits, and teams that need flexible forms, surveys, and data collection with payments and workflows, especially those wanting breadth and templates over a minimalist tool. Plans run Free (Starter), Bronze, Silver, Gold, and Enterprise, so cost scales with submissions, forms, and storage needs.
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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.
