The Best Shopify Survey Apps, Organised by Job (2026)

Most “best Shopify survey apps” lists do the same thing. They rank ten apps one to ten, quietly slip in a couple of reviews apps that are not surveys at all, and leave you to work out which one actually fits your store. That is backwards. A survey app is only as good as the question you point it at, and the app that wins at attribution is rarely the one that wins at catching the visitor who almost bought and left.

So here is the version I wish existed. One of the tools further down is ours, and I have flagged it clearly in the one place it fits and left it out of every place it does not. Everything else here is just the honest pick for the job. What follows is every survey app worth installing on Shopify in 2026, organised by the job you are trying to do, with real pricing and the trade-off each one asks of you.

Start here: what job is the survey actually doing?

Before you compare a single feature, name the question you need answered. Shopify stores use surveys for four separate jobs, and almost no app is best at more than one or two of them.

The first job is attribution: where did this customer actually come from? Since Apple’s App Tracking Transparency arrived with iOS 14.5 in April 2021, a large share of iPhone users opt out of the tracking that ad pixels rely on, so your analytics increasingly cannot tell you where someone first heard of you. A post-purchase “how did you hear about us” survey asks the buyer directly, which since 2021 is one of the few honest reads on demand you can get.

The second job is satisfaction and loyalty: how did the buying feel, and would they recommend you? This is NPS, CSAT and product feedback, usually asked right after purchase while the experience is fresh.

The third job is on-site and exit surveys: why did the visitor who did not buy leave? This one runs before checkout, on product pages or as an exit popup, and it catches the majority of your traffic that the post-purchase apps never see because those people never bought.

The fourth job is zero-party data capture: who is this person and what do they want? Zero-party data, a term Forrester coined, is the information a customer volunteers on purpose through a quiz, a preference form or a signup. You use it to personalise and to build your email list.

There is a fifth job surveys cannot do at all, and I will come to it, because it is the one that quietly wastes the most money. First, the apps.

The best Shopify survey apps, by job

If the job is attribution: “how did you hear about us”

This is the highest-value survey most Shopify stores can run, because the answer feeds directly into where you spend your next marketing pound. Two apps own this category.

Fairing. The Shopify Plus favourite for post-purchase attribution, and the one serious operators name first. Fairing shows a short survey on your thank-you and order-status pages, then lets you read the answers against real order and lifetime-value data, so “how did you hear about us” stops being a vanity chart and becomes a channel-by-channel view of which sources bring your best customers. It is Shopify Plus Certified, holds a 5.0 rating across more than 190 reviews, and connects to Klaviyo, Google Sheets, Meta and around 25 other tools. Pricing runs on your order volume, all in US dollars: free up to 100 orders a month, then 15 up to 200 orders, 49 up to 500, and 149 up to 5,000, with unlimited responses and questions on every tier. Best for: DTC brands that want attribution they can trust and join to LTV. Trade-off: you pay on orders, so the bill climbs as you grow even if your survey usage does not.

KnoCommerce. The one to reach for when you want to slice the answer every possible way. Kno runs post-purchase surveys with the deepest segmentation in the category, splitting responses across 60-plus Shopify attributes such as average order value, products purchased, order count and customer tags, with a template library, benchmarking against aggregate data, and multi-touch questions that ask both where someone heard of you and what finally made them buy. It rates 4.9 across more than 110 reviews. Pricing is flat rather than order-based: Starter at 19 US dollars a month, Analyst at 119 with unlimited responses and integrations, and Pro at 299 with custom styling and conditional logic, after a free trial. Best for: data-led teams that want to interrogate attribution by segment. Trade-off: the 19 tier is deliberately thin, one survey with three questions, so the real product starts at 119.

Between them, the honest split is simple. Fairing is the cleaner buy if you want attribution tied to order and LTV data with the least fuss. Kno wins if you have someone who will actually dig into the segments and wants the richest question logic.

One caveat neither app will print on the box: survey attribution is a strong signal, not ground truth. People misremember, and they tend to credit the last thing they saw rather than the ad three weeks ago that actually started the journey. So read “how did you hear about us” as a directional read to triangulate against your platform data, not a number to bet the budget on because one channel topped the chart.

If the job is satisfaction, NPS and product feedback

Once someone has bought, the question changes from where did you come from to how did that go. This is really a voice-of-customer exercise, run at the moment attention is highest, and these apps specialise in asking it well.

Zigpoll. The most-reviewed customer survey app on Shopify, at 5.0 across more than 500 reviews, and the best all-rounder on this list. Zigpoll runs post-purchase, on-site, NPS, email and SMS surveys from one app, with AI analytics that summarise open-text answers for you and abandoned-checkout campaigns that ask people why they did not finish. Pricing is by monthly responses, in US dollars: free for 100 responses, 29 for 500, 97 for 2,000, and 194 for unlimited, with unlimited surveys on every tier. Best for: stores that want one flexible tool covering both post-purchase and on-site surveys. Trade-off: the bill scales with responses, so a high-traffic store either pays for the top tier or rations its surveys.

Grapevine. The value pick, and the one to look at hard if response-metered pricing annoys you. Grapevine runs post-purchase, NPS, CSAT and attribution surveys with a “Built for Shopify” badge and a 5.0 rating across more than 190 reviews, and it charges one flat rate of 25 US dollars a month for unlimited surveys, questions and responses after a 14-day trial. No tiers, no per-response fees. Answers flow to Klaviyo, Shopify Flow and GA4, and you can target surveys by order value, product, country and customer type. Best for: high-volume stores that want unlimited responses without a metered bill. Trade-off: there is no permanent free plan, and the analytics are less deep than Kno’s.

Hulk NPS Post Purchase Survey. The budget option, worth knowing if all you want is a clean Net Promoter Score. It rates 4.8 across 70 reviews, offers a free plan and a Pro tier at 25 US dollars a month with unlimited responses, and covers checkout, product and exit surveys as well as NPS. Best for: small stores that want NPS running this afternoon for little or nothing. Trade-off: lighter reporting and fewer integrations than the leaders above.

If the job is on-site and exit surveys

Post-purchase apps only ever hear from people who bought, which is a single-digit percentage of your traffic. If you want to know why the other 90-plus per cent left, you need a survey that runs before checkout.

POWR: Customer Survey. The simplest way to put a poll or survey on the page itself. POWR is a general-purpose survey and form builder with a genuine free plan and paid tiers from around 10 US dollars a month, priced on usage rather than orders, and it drops surveys onto product pages, in popups or as embedded forms. Best for: quick on-site polls and exit-intent questions without a specialist tool. Trade-off: it is a broad form builder, not a post-purchase or attribution specialist, so it will not join answers to order data the way Fairing or Kno do.

Worth knowing: Zigpoll, above, also runs on-site and exit surveys, so if you would rather not add a second app, it covers this job and the post-purchase one from a single install. That consolidation is often the smarter buy than a best-in-class tool for each slot.

If the job is zero-party data and email capture

Sometimes the survey is really a way to learn who someone is and get them onto your list.

Shopify Forms. Free, native, and the sensible default for capture. Shopify Forms builds email and lead-capture popups and inline forms, collects fields from email and phone to custom metafields like product interest or birthday, and hands the data straight to Shopify Email and your automations, all at no cost. Best for: email and lead capture with a light preference question or two. Trade-off: it cannot place forms on product pages, has no conditional logic and offers limited field types, so you will outgrow it for anything resembling a real survey.

UserLoop. The AI-forward option for zero-party data across the funnel. UserLoop runs checkout, email and popup surveys aimed at collecting attribution and zero-party data, with AI built in to draft questions and summarise answers, and an unlimited plan from 19 US dollars a month plus a free tier. Best for: teams that want AI help turning survey answers into segments and profiles. Trade-off: a smaller track record and review base than Zigpoll, Fairing or Grapevine, so it is less battle-tested.

The job no survey app can do

Every app above shares one hard limit: a survey can only ask people who already bought from you or already visited your store. It is, by definition, a read on the past and the present. That is exactly what you want when the question is where did you hear about us or how did the checkout feel.

It is useless when the question is will this sell. If you are choosing between two pack designs, naming a new product, setting a launch price or writing an ad, there is no one to survey yet, because the thing does not exist. The honest move here is not a survey. It is testing your audience assumptions first, before you commit stock or ad spend, and using the survey apps above to confirm what happened once real customers arrive.

This is the one place our own tool fits, so I will name it plainly. With TestFeed you can put a product, a pack, an in-context price, an ad or a claim in front of simulated shoppers and get back a purchase-intent read, their reasons in their own words, and a clear next move, in days rather than weeks. It is a pre-spend, directional signal, not a sales forecast and not a substitute for asking real buyers once you have them, and it does not judge taste, texture or smell. Use it to decide which idea is worth launching, then point a post-purchase survey at the customers it brings you. The two are complements: one looks forward before you spend, the other looks back after you have.

The apps other lists get wrong

Three kinds of tool show up on survey roundups where they do not belong, and knowing why saves you an install.

Reviews apps are not survey apps. Judge.me, Okendo and Yotpo collect product reviews for social proof on your storefront. That is a different job from asking a private question and reading the answer against your order data. A review is public and about the product; a survey is private and about the customer. Do not buy a reviews app expecting attribution.

General survey SaaS is not Shopify-native. SurveyMonkey, Typeform and Google Forms are fine standalone survey builders, and genuinely useful for longer research studies you email out. But they do not sit on your thank-you page, they do not know a respondent’s order value, and they cannot segment answers by what someone bought. For ecommerce surveys tied to store data, a Shopify-native app wins every time.

A survey feature inside an analytics suite is not a standalone app. Triple Whale, for instance, includes a post-purchase survey as part of its attribution platform. If you already run the suite, use it. If you are shopping for a survey specifically, a dedicated app will give you more question types and better response handling for far less than the suite costs.

And skip anything that is shutting down. Delighted still appears on plenty of 2026 roundups, but its customer access ends on 30 June 2026 and renewals have already closed, per Delighted’s own notice, so it is not a tool to adopt now. If you are still on it, plan your migration to one of the apps above.

Shopify survey apps compared (2026)

All entry prices are in US dollars and move often, so confirm on each app’s Shopify App Store listing before you commit.

How to choose, in three questions

What question are you actually asking? Attribution, satisfaction, why-they-left, or who-are-they. Name it before you shop. Buyer’s regret in this category almost always comes from picking the highest-rated app rather than the one built for your question.

What order volume do you do? This decides the pricing maths. A store doing serious volume usually pays less on a flat-rate app like Grapevine than on a response or order-metered one, because the meter never stops. A small store is better off on a free tier from Zigpoll, Fairing or POWR until the volume justifies paying.

Do you need the answers joined to order data? If yes, and for attribution or LTV you almost always do, a Shopify-native app such as Fairing, Kno or Zigpoll earns its place because it reads responses against real orders. If you just want a standalone research survey emailed to a list, a general tool like Typeform will do and you can skip the app store entirely.

Answer those three and the shortlist usually collapses to one or two names. Most stores I see land on a pairing rather than a platform: one attribution survey on the thank-you page, and one satisfaction or on-site survey, which together cost less than a single premium seat and answer the two questions that actually move the business.

One discipline holds that pairing together: keep each survey to one or two questions, and do not hit the same customer with both at once. Response rates fall off a cliff the moment a survey feels like homework, so a short, well-placed question beats a thorough one nobody finishes.

Frequently asked questions

What is the best survey app for Shopify?

There is no single best one; it depends on the job. For attribution, the how did you hear about us question, Fairing and KnoCommerce lead. For post-purchase satisfaction and NPS, Zigpoll and Grapevine. For simple on-site polls or free email capture, POWR or the native Shopify Forms. Pick by the question you need answered, not the star rating.

Are there free Shopify survey apps?

Yes. Shopify Forms is free and native for email and lead capture. Zigpoll, Fairing, POWR and Hulk NPS all have genuine free tiers, usually capped by monthly responses or orders. Grapevine and KnoCommerce are paid only after a free trial.

How much do Shopify survey apps cost?

From nothing to a few hundred a month. Metered apps price on orders or responses: Fairing runs free to 149 US dollars a month, Zigpoll free to 194. Flat-rate apps like Grapevine charge 25 US dollars a month for unlimited responses. KnoCommerce runs 19 to 299.

What is a post-purchase survey app?

An app that shows a short survey right after checkout, on the thank-you or order-status page, while attention is highest. It is the best moment to ask how someone found you or how the buying felt, which is why response rates there beat surveys emailed days later.

Can a survey app tell me if a new product will sell?

No. Surveys ask people who already bought or visited, so they describe the past and present. To gauge demand for something you have not launched, you need pre-launch or pre-spend testing, which puts the concept in front of a modelled audience before you commit stock or ad spend.

The one-line version

Pick the question first and the app second. Name the single thing you most need to know, whether a customer found you, how they felt, why they left, or who they are, buy the app built for that question, and add a second only when a second question earns it. Do that and you will spend less than the ten-app lists imply, and understand every answer you get back.