Best NPS survey tools in 2026: 10 platforms for product managers
Compare 10 best NPS survey tools and software in 2026. See Delighted, Refiner, AskNicely, Wootric, Sprig, and more, ranked by use case, channel, and PM fit.
The best NPS survey tools in 2026 are Delighted for fast multi-channel NPS rollout, Refiner for B2B SaaS programs, AskNicely for closed-loop CX workflows, Wootric for product-led in-app NPS, and Sprig for behavior-triggered in-product feedback. Pendo, SurveyMonkey, Qualtrics, Hotjar, and CleverX cover the broader edges: PLG, generic surveys, enterprise depth, lightweight feedback, and B2B research with NPS as one method among many.
NPS (Net Promoter Score) is one of the most-used product metrics in the world, but the tools that excel at NPS are different from generic survey tools. NPS-first platforms ship the standard 0-10 question + open-ended follow-up, calculate scores automatically, route detractors to CSMs, and benchmark against industry standards. Generic survey tools (SurveyMonkey, Typeform, Qualtrics) need configuration to match.
This guide ranks 10 NPS tools by what actually matters for product teams: channel coverage (in-app, email, SMS, QR), segmentation depth, closed-loop workflows, and how well they fit a PM running NPS without a research team.
TL;DR: best NPS survey tools in 2026
- Delighted: best multi-channel NPS rollout (email, web, SMS, QR), simple setup, Qualtrics-owned.
- Refiner: best B2B SaaS NPS with account-level segmentation and product analytics integration.
- AskNicely: best closed-loop NPS with strong follow-up workflows for CX teams.
- Wootric (InMoment): best product-led in-app NPS with contextual surveys.
- Sprig: best behavior-triggered in-product NPS with AI analysis.
- Pendo: best PLG NPS combined with product analytics + in-app guidance.
- SurveyMonkey: best general survey tool with mature NPS templates.
- Qualtrics: best enterprise NPS depth with predictive analytics and benchmarks.
- Hotjar: best lightweight NPS via feedback widgets with a free tier.
- CleverX: best when NPS is part of broader B2B research with AI synthesis.
Why NPS deserves dedicated tools
NPS is a specific survey type that benefits from dedicated infrastructure:
- Standard question structure: “How likely are you to recommend [product] to a friend or colleague?” 0-10 scale + optional “why” follow-up.
- Calculation logic: Promoters (9-10) percentage minus Detractors (0-6) percentage = NPS score.
- Triggered deployment: post-purchase, post-support, anniversary, or behavior-based.
- Closed-loop workflows: alert on detractors, route to CSMs, automate follow-up.
- Benchmarking: industry / segment / cohort NPS comparisons over time.
- Transactional vs relational: different cadences need different deployment patterns.
NPS-first tools ship all six. Generic survey tools (SurveyMonkey, Typeform) require setup work to match. The question for a PM: do you run NPS as a continuous program (use NPS-first tool) or as one-off measurements (general survey tool is fine)?
Quick comparison: 10 NPS survey tools in 2026
| Tool | Best for | Channels | Closed-loop | Free tier | Starting price |
|---|---|---|---|---|---|
| Delighted | Multi-channel NPS | Email, web, SMS, QR, link | Yes | Yes (free with 25 surveys/mo) | $25-$224+/mo |
| Refiner | B2B SaaS NPS | In-app, email, link | Yes | Free trial | $79-$299+/mo |
| AskNicely | Closed-loop CX NPS | Email, SMS, web | Strong (workflows + routing) | No | Custom (~$300+/mo) |
| Wootric (InMoment) | Product-led in-app NPS | In-app, email, SMS | Yes | No | Custom |
| Sprig | Behavior-triggered NPS | In-product (mobile + web) | Via integrations | No | Custom (~$25K+/yr) |
| Pendo | PLG NPS + analytics | In-app, email | Yes | Free tier (Pendo Free) | Custom |
| SurveyMonkey | General + NPS | Email, web, link | Limited | Yes | Free + $22-$75/user/mo |
| Qualtrics | Enterprise NPS depth | All channels | Strong (XM workflows) | Limited | Custom (~$1,500+/yr) |
| Hotjar | Lightweight NPS widgets | Web | Limited | Yes | Free + $32-$171+/mo |
| CleverX | B2B NPS in research | Survey + interview channels | Via AI analysis | No (credit-based) | Credit-based ($32-$39/credit) |
1. Delighted: best multi-channel NPS rollout
Delighted{:target=“_blank” rel=“noopener nofollow”} is the most-recommended NPS tool when you want a clean rollout across email, web, SMS, link, and QR with minimal setup. Owned by Qualtrics but operated separately for fast standalone NPS programs.
Where it leads: simplest setup in the category, multi-channel coverage out of the box, Qualtrics-grade reliability, transparent public pricing including a free tier. Where it lags: less specialized for complex closed-loop workflows than AskNicely; product-led in-app surveys lighter than Wootric or Sprig. Pricing: free tier (25 surveys/month) + $25-$224+/month. Pick this if: you want fast NPS deployment across multiple channels without enterprise complexity.
2. Refiner: best B2B SaaS NPS
Refiner{:target=“_blank” rel=“noopener nofollow”} is purpose-built for B2B SaaS NPS programs. Strong account-level segmentation, integrations with Mixpanel / Amplitude / Segment / HubSpot, and in-app survey targeting that respects user roles.
Where it leads: B2B SaaS-specific (account-level NPS, role-level segmentation), product-event triggering, clean in-app UX. Where it lags: narrower than enterprise platforms; smaller channel coverage than Delighted. Pricing: $79-$299+/month. Pick this if: you’re a B2B SaaS PM running account-level NPS tied to product behavior.
3. AskNicely: best closed-loop CX NPS
AskNicely{:target=“_blank” rel=“noopener nofollow”} is the leader for operationalized NPS: feedback-to-action workflows, CSM routing, automated follow-ups, frontline coaching tools.
Where it leads: closed-loop workflows (route detractors, automate follow-ups, escalate to CSMs), CX team-focused features like daily-huddle dashboards and frontline NPS coaching. Where it lags: can be heavier than basic NPS tools if you don’t need workflow automation; pricing isn’t transparent for smaller teams. Pricing: custom, typically $300+/month. Pick this if: you have a CX team and NPS needs to drive operational follow-up workflows.
4. Wootric (InMoment): best product-led in-app NPS
Wootric{:target=“_blank” rel=“noopener nofollow”} (now part of InMoment) focuses on contextual in-app NPS, CSAT, and CES surveys. Strong fit for product-led teams that want NPS triggered inside the product.
Where it leads: in-app NPS depth, CES + CSAT alongside NPS, contextual targeting based on user actions. Where it lags: less broad than enterprise CX suites; smaller standalone presence after InMoment acquisition. Pricing: custom. Pick this if: your NPS program lives inside the product and you want contextual prompts.
5. Sprig: best behavior-triggered in-product NPS
Sprig{:target=“_blank” rel=“noopener nofollow”} runs in-product NPS triggered by user behavior, with AI analysis on responses. Best when NPS is one of several in-product feedback patterns alongside microsurveys and session replays.
Where it leads: behavior-triggered deployment (post-feature-use, post-onboarding), AI-summarized open-ended responses, integration with Amplitude / Mixpanel / Segment. Where it lags: in-product only (no email NPS), enterprise pricing, requires SDK install. Pricing: custom, typically $25K+/year. Pick this if: NPS is part of broader in-product feedback at PLG scale.
6. Pendo: best PLG NPS with analytics tie-in
Pendo{:target=“_blank” rel=“noopener nofollow”} bundles NPS with product analytics, in-app guidance, and microsurveys. Strong for PLG teams running NPS alongside activation and feature adoption work.
Where it leads: unified PLG analytics + NPS, deep Salesforce / Slack / Jira integrations, mature templates, Pendo Free tier covers small NPS programs. Where it lags: NPS layer is part of a bigger platform; expensive for non-PLG teams. Pricing: Pendo Free + custom mid-market+ pricing. Pick this if: you’re running a PLG motion and want NPS inside the same tool as product analytics.
7. SurveyMonkey: best general survey tool with NPS templates
SurveyMonkey{:target=“_blank” rel=“noopener nofollow”} ships mature NPS templates inside its general survey builder. Works for one-off NPS measurements or programs that don’t need NPS-specialist tooling.
Where it leads: transparent public pricing, NPS templates ready to use, easy to deploy via email or link, Audience panel add-on for benchmarking. Where it lags: not NPS-first (no closed-loop workflows, no industry benchmarks built in); less in-app friendly than Wootric or Sprig. Pricing: free + $22-$75/user/month. Pick this if: you already have SurveyMonkey and your NPS needs are straightforward.
8. Qualtrics: best enterprise NPS depth
Qualtrics{:target=“_blank” rel=“noopener nofollow”} ships enterprise NPS programs with predictive analytics, multi-channel deployment, AI-powered text analysis (TextIQ on open-ended NPS responses), and benchmarks.
Where it leads: advanced segmentation and statistical depth, AI text analysis on “why” responses, mature CX program workflows, enterprise compliance. Where it lags: expensive, multi-month implementation, overkill for standalone NPS programs. Pricing: custom, typically $1,500+/year entry. Pick this if: you have an enterprise CX program and NPS is one of several measurement programs.
9. Hotjar: best lightweight NPS with free tier
Hotjar{:target=“_blank” rel=“noopener nofollow”} includes NPS as one of its lightweight feedback tools. Drop-in script, free tier, and NPS widgets that pair with heatmaps + session recordings for behavioral context.
Where it leads: free tier covers small NPS programs, behavior context alongside NPS, simple setup, no learning curve. Where it lags: not NPS-first; no closed-loop workflows; web-only deployment. Pricing: free + $32-$171+/month. Pick this if: you want lightweight web-based NPS at no cost alongside your existing Hotjar usage.
10. CleverX: best when NPS is part of broader B2B research
CleverX handles NPS as part of multi-method B2B research workflows. Surveys with NPS templates run alongside AI-moderated interviews, with AI Study Agent synthesizing NPS scores and verbatim themes together.
Where CleverX fits NPS:
- NPS in research context: post-interview NPS, NPS by company segment, NPS analyzed alongside qualitative themes.
- Verified B2B panel for benchmark NPS programs across industry segments without your customer base.
- AI synthesis ties NPS scores to verbatim themes from open-ended responses.
- Compliance. SOC 2, GDPR, HIPAA options for regulated B2B research.
Where it doesn’t fit: standalone product NPS programs (Delighted, Refiner, AskNicely win there). Continuous in-product NPS (Sprig, Wootric, Pendo win).
Pricing: credit-based, ~$32-$39 per credit.
Pick CleverX if: your NPS is part of broader B2B research, not a standalone product NPS program.
How to calculate NPS
The standard NPS calculation:
- Ask the standard question: “How likely are you to recommend [product] to a friend or colleague?” on a 0-10 scale.
- Categorize responses:
- Promoters: scored 9-10
- Passives: scored 7-8
- Detractors: scored 0-6
- Calculate: NPS = % Promoters - % Detractors
Example: out of 100 responses, 50 are Promoters, 30 are Passives, 20 are Detractors.
NPS = 50% - 20% = +30
NPS scores range from -100 (all detractors) to +100 (all promoters). Anything above 0 is generally good. Industry benchmarks vary widely.
NPS-first tools (Delighted, Refiner, AskNicely, Wootric) calculate this automatically. General survey tools (SurveyMonkey, Typeform) require setup or manual calculation.
NPS benchmarks by industry (2026 estimates)
NPS benchmarks vary by industry. General ranges:
| Industry | Average NPS |
|---|---|
| SaaS / B2B software | 30-50 |
| Consumer tech | 40-60 |
| Financial services | 25-45 |
| Healthcare | 20-40 |
| Telecom / cable | 5-25 |
| Insurance | 20-35 |
| Retail (general) | 30-50 |
| E-commerce | 35-55 |
| Travel / hospitality | 35-55 |
Compare your NPS against industry benchmarks, not absolute scores. A +35 in B2B SaaS is competitive; +35 in consumer tech is below average. Most NPS tools (Qualtrics, Delighted, AskNicely) ship industry benchmarks; CleverX and SurveyMonkey require manual benchmarking.
NPS question wording: best practices
Use the standard question and don’t deviate too much:
Recommended: “How likely are you to recommend [product / service] to a friend or colleague?”
Acceptable variants:
- “How likely are you to recommend [product] to a colleague in your industry?” (B2B-tilted)
- “How likely are you to recommend [feature] to another user?” (feature-specific NPS)
Avoid:
- “How much do you love [product]?” (leading)
- “Would you recommend us?” (binary, not 0-10)
- “How likely are you to recommend us, on a scale of 1-10?” (1-10 instead of 0-10 = different math)
The follow-up:
Recommended: “What is the main reason for your score?” (one optional open-ended)
Keep it to one optional follow-up. Multi-question NPS surveys hit completion-rate cliffs.
Transactional vs relational NPS
Two common NPS deployment patterns:
| Transactional NPS | Relational NPS | |
|---|---|---|
| When | Right after a key interaction (purchase, support ticket, feature use) | Periodic (quarterly, semi-annually) |
| Cadence | Triggered by event | Recurring |
| Sample | Recent customers only | All customers |
| Use case | Improve specific touchpoints | Overall product satisfaction trend |
| Tool fit | Sprig, Wootric, Refiner, Delighted (triggered) | AskNicely, Qualtrics, SurveyMonkey, Delighted (recurring) |
Most product teams run both. Transactional NPS catches specific friction; relational NPS tracks overall trend over time.
Closed-loop NPS workflows
Modern NPS isn’t just a number: it’s a workflow that routes detractors to follow-up:
- Detractor alerts. Real-time Slack / email notification when a 0-6 score arrives.
- CSM routing. Auto-assign detractor accounts to the appropriate CSM.
- Follow-up automation. Email or call within 24-48 hours of detractor response.
- Resolution tracking. Track how detractor issues are resolved over time.
- Promoter activation. Route 9-10 scores to advocacy programs (reviews, case studies, referrals).
Tools that ship closed-loop workflows out of the box: AskNicely (deepest), Refiner, Wootric, Pendo, Qualtrics. Tools that require integration setup: Delighted, SurveyMonkey, Hotjar, CleverX.
CleverX vs Delighted vs Refiner: which to pick
The three different NPS use cases each have a different lead tool:
| CleverX | Delighted | Refiner | |
|---|---|---|---|
| Best for | NPS in B2B research | Multi-channel standalone NPS | B2B SaaS in-product NPS |
| NPS model | Survey + AI synthesis | Standalone NPS program | Account-level B2B NPS |
| Channels | Survey + interview | Email, web, SMS, QR, link | In-app, email, link |
| Closed-loop | Via AI analysis | Limited (integrations) | Strong (workflows) |
| Pricing | Credit-based | Free + $25-$224+/mo | $79-$299+/mo |
| Best fit | B2B research with NPS as one method | Fast standalone NPS rollout | B2B SaaS PMs running NPS programs |
Rule of thumb: standalone NPS rollout ? Delighted. B2B SaaS in-product NPS ? Refiner. NPS as part of B2B research ? CleverX. Closed-loop CX NPS ? AskNicely.
When NPS isn’t the right metric
NPS is overused. It’s the wrong metric when:
- The question is task-specific (“Was this checkout easy?”): use CES (Customer Effort Score) or SEQ.
- The question is satisfaction with a specific feature: use CSAT.
- You need diagnostic insight: NPS alone tells you the score, not the why. Add open-ended follow-ups or qualitative interviews.
- Your product is at low scale: NPS needs sample size to stabilize. Under 100 responses, scores fluctuate too much to be meaningful.
- You want product-market-fit signal: use the Sean Ellis test (“How would you feel if you could no longer use [product]?”) instead.
For most product teams, NPS is one metric among several. Pair it with CES, CSAT, and qualitative interviews for a complete picture.
5 mistakes PMs make running NPS programs
- Changing the question wording. Comparing NPS over time only works if the question stays consistent. Don’t get clever.
- Skipping the closed loop. NPS as a number is useless. NPS that drives detractor follow-up actually moves the score.
- Sampling everyone all the time. Survey fatigue kills response rates. Sample 10-25% of customers per cycle, rotate.
- Comparing to absolute scores. A +30 NPS is great in telecom, average in B2B SaaS. Use industry benchmarks.
- Treating NPS as the only metric. NPS + CSAT + CES + qualitative gives a complete picture. NPS alone misses too much.
How to choose: a quick framework
1. What’s your deployment pattern?
- Multi-channel standalone ? Delighted, AskNicely
- B2B SaaS in-product ? Refiner, Wootric, Sprig
- Enterprise + multi-method ? Qualtrics, Pendo
- Light + free tier ? Hotjar, SurveyMonkey
2. What’s your audience?
- B2B / niche pros ? Refiner, CleverX, AskNicely
- General consumer ? Delighted, Wootric, Sprig
- Mixed ? Delighted, SurveyMonkey
3. What’s your closed-loop need?
- Strong workflows ? AskNicely, Qualtrics, Refiner, Pendo
- Light routing ? Delighted, Wootric, Sprig
- Manual / integration-driven ? SurveyMonkey, Hotjar, CleverX
Three answers point to the right NPS tool in most cases.
FAQ
What is the best NPS survey tool in 2026? For multi-channel standalone NPS, Delighted. For B2B SaaS in-product NPS, Refiner. For closed-loop CX NPS, AskNicely. For product-led in-app NPS, Wootric or Sprig. For enterprise depth, Qualtrics. For NPS inside B2B research, CleverX.
How is NPS calculated? NPS = % Promoters (9-10) - % Detractors (0-6). Passives (7-8) are excluded from the calculation. Range: -100 to +100.
What’s a good NPS score? Industry-dependent. B2B SaaS averages 30-50. Consumer tech 40-60. Financial services 25-45. Anything above 0 is generally positive. Compare to industry benchmarks, not absolute scores.
Best free NPS tool? Hotjar’s free tier includes NPS widgets. Delighted has a free tier with 25 surveys/month. Pendo Free includes NPS. SurveyMonkey free tier handles basic NPS deployment.
Delighted vs AskNicely: which is better? Delighted for fast multi-channel rollout with simple setup. AskNicely for deeper closed-loop workflows and CX team coaching. Different use cases.
Is NPS still useful in 2026? Yes, when used correctly. NPS works as a continuous loyalty metric, especially for benchmarking trends over time. Pair with CSAT, CES, and qualitative research for diagnostic depth: NPS alone is shallow.
How often should I run NPS? Transactional NPS: triggered by specific events (post-purchase, post-support). Relational NPS: quarterly or semi-annually. Avoid surveying the same customer more than once per quarter to prevent fatigue.
What’s the standard NPS question? “How likely are you to recommend [product / service] to a friend or colleague?” 0-10 scale. Don’t change the wording: comparing scores over time requires consistency.
Do I need an NPS-specific tool? For continuous NPS programs, yes: NPS-first tools save hours of setup and ship closed-loop workflows. For one-off NPS measurements, generic survey tools (SurveyMonkey, Typeform) work fine.
Best NPS tool for B2B SaaS PMs? Refiner for account-level B2B SaaS NPS with product analytics integration. Sprig for behavior-triggered NPS. CleverX when NPS is part of broader B2B research with verified panel benchmarks.
Related reading
- Best survey tools for UX research in 2026
- Best enterprise survey software in 2026
- Best Sprig alternatives in 2026
- Best research tools for product teams in 2026
- Best Hotjar alternatives in 2026
For most product teams in 2026, the right NPS tool depends on your deployment pattern (multi-channel, in-app, transactional, relational), audience (B2B, consumer, enterprise), and closed-loop need. Delighted wins for fast standalone rollout. Refiner wins for B2B SaaS in-product NPS. AskNicely wins for closed-loop CX programs. Wootric and Sprig win for product-led in-app deployment. Pendo bundles NPS with PLG analytics. Qualtrics covers enterprise depth. CleverX is the right pick when NPS is part of broader B2B research, not a standalone program. Pick the tool that fits your dominant pattern, calculate NPS consistently, and always close the loop on detractors: that’s how NPS programs actually move the score over time.