Best NPS Software

SurveySensum is a customer experience platform covering Net Promoter Score, Customer Effort Score and customer satisfaction survey software, with website, in-app and employee feedback tools, a survey builder, distribution and dashboard tools, and an AI-powered market research platform alongside.

Publishing annual costs plainly is unusual in this category and worth noting on its own, because experience platforms almost universally hide pricing behind a sales process. Stating that the Starter tier is $3,600 per year with 12,000 responses lets a buyer determine fit in a minute rather than after three calls.

Response volume as the pricing unit is the right measure and the number to check against your own programme before committing. Twelve thousand responses sounds generous until you calculate it properly: surveying customers after every support interaction in a business handling a few hundred contacts a week will exhaust it well before the year ends, and understanding your own response volume is the single most useful preparation for a purchase in this category.

Cloud hosting in the customer's own country is published as a capability, alongside full compliance with HIPAA, GDPR, SOC 2 and ISO 27001, and personally identifiable information anonymisation. Data residency matters here more than in most software, because survey responses frequently contain personal information volunteered in free text, and open-text answers are much harder to govern than structured fields.

The regional focus is evident in published material covering customer experience in India and events scheduled across Indian, Indonesian and Singaporean time zones, which suggests genuine support presence in Asian markets rather than a single Western time zone.

Support services are offered as priced additions covering integration with new platforms, dashboard creation and reporting.

Pricing is published across three plans. Starter CX is $3,600 per year with 12,000 responses, and Self-Serve CX is $6,000 per year.

SurveySparrow is a survey and experience management platform known for conversational, chat like surveys that aim to feel more natural than traditional forms, alongside classic survey formats, NPS, and 360 feedback tools. It includes a drag and drop builder with skip and display logic, real time reporting with AI sentiment analysis, workflow automation, and recurring pulse surveys. Surveys can be distributed by weblink, email, SMS, QR code, embed, mobile SDK, Slack, or Microsoft Teams.

Pricing is public and starts with a free forever plan limited to 75 responses per quarter and one user, followed by Basic, Starter, and Business paid tiers billed quarterly or annually, with a 14 day free trial on paid plans. An Enterprise tier with custom limits, 130 plus language auto translation, and a dedicated customer success manager is available on request.

Qualtrics 360 (also called Qualtrics 360-Degree Feedback or 360 Development) is a multi-source employee feedback platform from Qualtrics, built for HR and talent development teams. It collects structured input from managers, peers, and direct reports to give employees a rounded view of their strengths and development areas. The platform automates the operational side of running 360 programs, including participant nominations, survey distribution, reminders, and report generation, and includes a self-service participant portal where employees can request feedback and track responses.

Results are turned into analytics that surface skill gaps and performance patterns across departments and leadership levels, and can be connected to development interventions such as learning content and coaching resources. It is part of the broader Qualtrics Employee Experience suite and integrates with HRIS and learning systems. Pricing is not published; Qualtrics sells the product on a custom quote basis tied to employee count and planned usage, obtained by contacting its sales team.

Survicate is a customer feedback platform covering customer surveys, a research hub, feedback analytics and automated flows, with the vendor stating more than 2,000 digital businesses and 4,000 customer experience, product, research and marketing teams as users.

The problem the vendor sets out is unification, and it is the correct diagnosis for most organisations that already run feedback programmes. Companies are not short of customer feedback. They are drowning in it across separate sources, none of which combine, so nobody can see the scale of any individual issue.

The consequence is specific and expensive. Support tickets sit in one system, in-app survey responses in another, review sites elsewhere, and sales call notes in a customer relationship system. Each shows a fragment. A problem generating twenty complaints across four systems looks minor in each and serious in aggregate, but nobody ever sees the aggregate, so it does not get fixed until it becomes large enough to appear in one channel alone.

Automated flows are what turn collection into a process rather than an exercise. A survey that fires when a defined event occurs produces feedback tied to a moment, which is far more useful than a periodic survey asking people to remember how they felt.

The research hub positions the platform for structured research alongside continuous measurement, which suits organisations where product teams run studies and customer experience teams run ongoing programmes from the same tooling.

One published customer account reports more than 1,000 responses in a single day using the NPS surveys, which speaks to distribution reach rather than to analysis.

Pricing is published with monthly and yearly billing. Growth starts at $114, Pro at $349 and Enterprise at $569, with the higher tiers adding SAML single sign-on, access logs, on-demand security review and a non-disclosure agreement. A free sign-up is offered.

Zonka Feedback is a customer feedback platform built around AI Feedback Intelligence, transforming unstructured data into role-based intelligence, with separate analytics for customer feedback, support feedback, product feedback and location or frontline analytics, plus thematic analysis, entity and aspect tracking and sentiment analysis.

Role-based intelligence is the framing that distinguishes it, and it addresses a genuine problem with feedback dashboards.

A single dashboard showing all feedback is useful to nobody in particular. A support manager needs to know which issues drive contact volume. A product manager needs to know which features frustrate users. A regional operations manager needs to know which branch is underperforming. Presenting all three the same aggregate view means each has to extract their own answer, which mostly means none of them do.

Splitting analytics by function rather than only by metric follows the same reasoning. Support feedback analysis aims at elevating service quality and reducing contact volume, product feedback aims at what to build, and location analytics compares branches and teams.

Location and frontline analytics deserves particular mention because it is the case that most general platforms handle worst. A business with fifty branches does not have one customer experience, it has fifty, and the average across them conceals both the branch that is failing and the one worth learning from. Comparison between locations is the entire point, and it requires the data to be structured that way from collection onward rather than filtered afterward.

Thematic analysis with entity and aspect tracking is the technically substantive part. Extracting what a comment is about and how the writer feels about that specific thing is considerably more useful than scoring a whole response as positive or negative, because a comment praising the staff and criticising the wait time is not neutral, it is two distinct findings.

Pricing is not published on the captured page, though a pricing page is offered.

Refiner is a survey platform aimed at software product teams, covering in-app, mobile, website, email and link surveys plus in-app messages, with a survey builder, on-brand design, a reporting dashboard, AI insights, user segmentation, team alerts and integrations.

The emphasis on in-app surveys is the defining characteristic and it produces a materially different result from email surveying.

An emailed survey reaches people who open marketing email, which is a self-selecting group weighted toward the engaged and the unusually annoyed. An in-app survey reaches people while they are using the product, which is both a more representative sample and a more accurate moment. Somebody asked about a feature while they are using it gives a better answer than the same person asked a week later by email, when they are recalling an impression rather than reporting an experience.

User segmentation is what makes that targeting precise. The value of an in-app survey comes from asking the right users at the right point, such as those who tried a feature twice and stopped, or those who reached a limit. Surveying everyone equally wastes the main advantage of being inside the product.

Published use cases cover Net Promoter Score, Customer Effort Score, customer satisfaction, product market fit and user research, and product market fit surveying is worth noting because it is a specific methodology asking how disappointed users would be if the product disappeared, which is a genuinely different question from satisfaction.

Team alerts through Slack and email address the failure mode where responses accumulate in a dashboard nobody opens. Feedback that reaches the team where they already work gets acted on.

The product is positioned for software as a service, fintech and marketplace businesses, and for product, customer success, marketing and growth teams.

Pricing is not published on the captured page, though a pricing page and a free trial are offered.

Retently measures Net Promoter Score, customer satisfaction and Customer Effort Score across every touchpoint, using AI to turn large volumes of responses into actions aimed at protecting revenue and loyalty, with separate published plan tracks for ecommerce and business-to-business.

Splitting plans by business model rather than only by size is the structural choice worth noticing, and it reflects a real difference in how feedback works in each.

An ecommerce business has many customers each worth relatively little, so feedback is a statistical exercise: patterns across thousands of responses matter and no individual response changes much. A business-to-business company has fewer customers each worth a great deal, so a single detractor response from a major account is itself an event requiring a named person to respond this week. Survey timing, routing, alerting and reporting all differ accordingly, and a platform built for one applied to the other fits badly.

The vendor publishes substantial original research rather than only marketing material, including an analysis of more than 1.5 million ecommerce surveys identifying product quality as the dominant positive driver at 80.6 percent positive sentiment, pricing value as the only net-negative pillar at minus 55.5 percent, and shipping as the most volatile factor in loyalty.

That finding is genuinely useful independent of the product. It suggests that ecommerce businesses competing on price are working against the one dimension customers consistently rate negatively, and that shipping is where experience is most often won or lost. Published benchmark research of that scale is also a reasonable signal about the size of the dataset behind the platform.

Measuring three metrics across touchpoints rather than one score at one moment is the correct approach, since NPS measures overall sentiment, CSAT measures a specific interaction and CES measures how hard something was, and they answer different questions.

Pricing is published with monthly and yearly billing across ecommerce and B2B tracks, with upgrade, downgrade and cancellation at any time. The published figures are split across page elements and could not be captured cleanly, so confirm current rates with the vendor.

CustomerGauge is a business-to-business experience platform built around Account-Centric NPS and Revenue-Based NPS, connecting account health and financial outcomes to feedback, with dashboards and analytics, feedback routing and AX Agents that turn surveys and signals into action.

Account-centric measurement is the substantive idea and it addresses a real defect in how Net Promoter Score is usually applied to business customers.

Standard NPS surveys individuals and averages their responses. In a consumer business that is sound, because the individual is the customer. In business-to-business it can be badly misleading. A single corporate account might involve fifteen people across procurement, operations, finance and executive sponsorship, and their views frequently differ sharply. The daily user may be frustrated while the executive who signs the contract is satisfied, or exactly the reverse, which is the more dangerous case.

Averaging those responses into one company score destroys the information that mattered. What a business needs to know is whether a specific account worth a specific amount is at risk, and which stakeholders within it are unhappy. Surveying one contact and treating that as the account's opinion is how companies are surprised by renewals they thought were safe.

Connecting the score to revenue completes the argument. A three point drop across small accounts and the same drop concentrated in the largest ones are entirely different events, and only the second requires an immediate response. Weighting by revenue is what makes the metric usable for prioritising limited attention.

Feedback routing to the right teams follows from the same logic, since account risk needs to reach the person who owns the relationship rather than a central inbox.

Pricing is not published, which is normal for platforms sold on account volume.

AskNicely runs Net Promoter Score and customer satisfaction measurement programmes designed to keep a whole team informed rather than only a management dashboard, adding reputation management, feedback management, employee activation, integrations, NiceAI for generative insight and NiceAI Agents that handle manual customer experience work.

Employee activation as a named capability is the choice that distinguishes this product, and it identifies who it is actually for. Most feedback platforms deliver scores to an executive who reviews them monthly. AskNicely is built for service businesses where the score is produced by a specific person on a specific job, and it routes that feedback to them.

That difference matters because of how customer experience actually improves. A quarterly report telling a company its score fell does not change any individual behaviour, because nobody who interacts with customers can identify what they should do differently. Feedback delivered to the technician who did yesterday's job, while they remember it, is something they can act on. The industry focus on field service trades makes this concrete.

Making rewards core to the process is the logical extension. If the score is attributable to individuals, it can be tied to recognition, which is the mechanism that changes behaviour in frontline workforces where reports do not.

Reputation management addresses the commercial reality that a satisfied customer is worth more if the satisfaction becomes a public review. Turning the review request and approval process into something automatic captures value that is otherwise lost, since customers rarely leave reviews unprompted.

NiceAI Agents handle data analysis, review growth and action, which is where AI applies well in this category: reading thousands of open-text responses and identifying themes is genuinely beyond a human team.

Pricing is published with support included, and single sign-on is available as an add-on for $1,500.