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NPSKit Analytics & Data

Free – no cost (free plan available)

NPSKit (Analytics & Data): NPSKit helps you launch NPS surveys, analyze feedback, and boost retention – with a free plan for small teams. Pricing: Free – no cost (free plan available). (data verified August 2026)

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About NPSKit

What is NPSKit?

NPSKit is a customer feedback tool that lets you send Net Promoter Score (NPS) surveys, collect responses, and analyze the results. It’s designed to help product teams, customer success managers, and founders measure loyalty and identify promoters, passives, and detractors in real time.

What problem does NPSKit solve?

Manual feedback collection is slow and messy. NPSKit replaces spreadsheets and guesswork with a streamlined workflow: you create a survey, send it via email or in-app, and get a clear NPS score plus written feedback. This helps you spot churn risks early, prioritize feature requests, and understand the reasons behind your score.

Who is NPSKit for?

NPSKit is ideal for SaaS startups, product-led growth teams, and agencies that run regular pulse checks with clients. It’s not built for huge enterprise-scale VoC programs with complex analytics. If you need deep customer journey mapping or advanced text analytics, you might look at more heavy-duty platforms.

Real use cases

Product teams send quarterly NPS to measure feature satisfaction. Customer success triggers follow-up emails to detractors automatically. Founders track score trends to report to investors. With a free plan, NPSKit is a low-risk way to start listening to your users.

Key features

  • NPS Surveys – Design and launch customizable NPS surveys in minutes, no coding required.
  • Feedback Collection – Gather open-ended responses alongside the score to understand the why.
  • Real-time Dashboard – See your NPS score, response rate, and trends at a glance.
  • Follow-up Automation – Automatically send thank-you or follow-up emails to respondents based on their score.
  • Response Analysis – Tag, filter, and analyze comments to extract themes and insights.
  • Team Collaboration – Share reports and insights with colleagues in your workspace.

SaaSpartout Score

6.8 /10
Ease of use 8.5
Features depth 6.5
Value for money 8.0
Support quality 6.0
Integrations 5.5
Scalability 5.0
Documentation 6.5
Onboarding speed 8.0

Editorial score from our review methodology — not user ratings.

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NPSKit Pricing

NPSKit pricing: Free – no cost (free plan available).

Free Plan – $0

Includes basic NPS surveys, unlimited responses, and core dashboard features. Ideal for small teams and startups testing the waters.

Paid Plans (if applicable)

NPSKit offers a free plan, but for advanced features like automation and team collaboration, you may need to upgrade. Unfortunately, specific pricing for paid tiers is not available on the scraped page. Please check NPSKit's official website for current pricing.

Note: NPSKit offers a free plan – you can start without paying.

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Frequently asked questions

What is NPSKit?
NPSKit is a tool to send Net Promoter Score surveys, collect responses, and track your NPS score over time. It helps businesses measure customer loyalty and act on feedback.
How much does NPSKit cost?
NPSKit has a free plan that includes basic NPS surveys and response collection. For advanced features like automation and team collaboration, you may need to upgrade to a paid plan – pricing details are available on NPSKit's website.
Is NPSKit free?
Yes, NPSKit offers a free plan. You can start using it without any cost, though paid plans may be available for additional features.
Who is NPSKit best for?
It’s best for small to medium-sized SaaS teams, product managers, and customer success professionals who want an easy way to measure NPS without complex setup.
What are the top alternatives to NPSKit?
Popular alternatives include Delighted, SurveyMonkey, Qualtrics, and Retently. These offer similar features but may have different pricing or scalability.
What is the main limitation of NPSKit?
Based on the scraped data, NPSKit focuses on NPS surveys and may not offer advanced enterprise features like text analytics or multi-language support at higher levels. It’s best for simple, focused feedback loops.

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