UserLoop vs Zigpoll vs Delighted for online stores: this article compares three ways ecommerce merchants collect attribution and satisfaction data, focusing on how each works in practice, setup details, limits, and trade-offs. If you run a Shopify shop and need post-purchase attribution, NPS/CSAT, or on-site exit-intent capture, this walkthrough tells you which tool fits which workflow and why.

UserLoop

UserLoop positions itself as an AI-enhanced Shopify feedback and attribution tool that runs post-purchase, checkout, on-site, and email surveys. It aims to connect survey responses with Shopify order data, and to provide AI summaries and follow-up capabilities.

Features and functionality

• Post-purchase and checkout surveys that can be added to Shopify thank-you or order status pages, plus email-delivered post-purchase surveys. These tie responses back to order metadata so you can see channel or coupon used alongside a written answer. (help.userloop.io)
• Multi-surface deployment: popup/app block embeds, checkout extensibility blocks, and email surveys, so you can run the same attribution question across surfaces and compare completion behavior. (pages.userloop.io)
• AI-insights: natural language summaries and follow-up questioning inside the platform, intended to speed analysis of open text. (pages.userloop.io)
• Rewards: built-in Shopify discount rewards to encourage completion for post-purchase email or thank-you page surveys. (pages.userloop.io)

Practical setup notes, gotchas and edge cases

• Shopify checkout placement: UserLoop supports Shopify checkout extensibility blocks, which makes installation straightforward for most modern Shopify themes. If your store still uses legacy checkout.liquid customization, you may need manual script injection or a developer to port the block. Test on a staging theme first to avoid interfering with payment or tracking scripts. (help.userloop.io)
• Order-to-response matching: when you enable post-purchase email surveys, you must choose a send delay. Short delays increase response on POS or digital-goods purchases, longer delays are better when fulfillment/shipping is needed. If you sell both physical and digital products, set triggers by product or fulfillment type to avoid sending untimely surveys. (help.userloop.io)
• Data privacy and retention: linking responses to Shopify orders is powerful, but check your privacy policy and data retention rules if you plan to store PII with responses. Plan for deletion workflows if customers request erasure.
• AI summaries: useful as a triage tool, but validate the automated themes against raw responses before surfacing changes to marketing or product teams. AI can conflate adjacent topics when your sample is small.

Pricing approach UserLoop’s marketing emphasizes Shopify-focused plans and response-linked workflows, but I was not able to find a vendor-hosted public pricing page to quote per-tier numbers. That means you should expect either usage-based tiers, Shopify App Store billing, or custom pricing; check UserLoop’s pricing page or contact sales for current rates. Because specific prices could not be verified from the vendor site during this review, I describe the pricing model qualitatively only. (pages.userloop.io)

Integrations

• Native Shopify install and checkout block support, plus integrations for Slack, Klaviyo, and Meta Conversion API are mentioned as part of the growth integrations. Confirm the exact triggers and mapping fields you need before relying on an automated workflow. (pages.userloop.io)

Customer support and documentation

• UserLoop maintains a help center covering post-purchase triggers, checkout extensibility, and responses. Expect product-focused documentation and email or in-app support. For advanced mapping and webhooks, plan for a short dev backlog. (help.userloop.io)

Pros

• Built specifically around Shopify order-linked attribution and AI summarization.
• Multiple surfaces for the same campaign, which lets you A B test the best conversion point.
• Discount reward capability to raise response rate for post-purchase email surveys.

Cons

• No public, easily discoverable pricing page found during verification; plan to budget for a commercial or usage-based model.
• If you need non-Shopify platform support, expect limitations or extra integration work.
• AI outputs need manual verification and governance to avoid misleading themes.

Best for

• Shopify stores that need post-purchase order-linked attribution, want AI-assisted analysis, and are comfortable with a Shopify-centric toolchain.

Zigpoll

Zigpoll is a Shopify-oriented survey app that supports post-purchase, on-site, and exit-intent surveys, with an emphasis on zero-party data capture and simple setup. It offers a free tier and clearly shown pricing tiers that scale by monthly response volume.

Features and functionality

• Post-purchase capture using Shopify thank-you and order status pages, plus on-site popups, exit-intent surveys, and email/SMS delivery for follow-ups. The app includes multiple question types and branching logic. (docs.zigpoll.com)
• Zero-party data focus: collect self-reported channel attribution and preferences directly from customers, then export or map responses to order records. This avoids relying solely on attribution pixels. (docs.zigpoll.com)
• AI insights and synthetic response tooling: the product advertises AI summaries and synthetic response features to help analyze sparse datasets. (zigpoll.com)

Practical setup notes, gotchas and edge cases

• One-click Shopify install is convenient, but scope out script placement. Zigpoll inserts embeds and uses the Shopify app install flow; if you have aggressive script managers or CSP headers, you may need to whitelist its domain. Test for conflicts with other on-site tools like live chat and A B testing scripts. (zigpoll.com)
• Response caps by plan: the free tier is useful for sampling, but paid tiers throttle monthly responses. If you run flash sales or plan to survey every order, size your plan or expect pauses once cap is reached. Zigpoll’s site documents monthly response limits per plan, and describes behavior when limits are hit. Plan to monitor usage mid-month to avoid data gaps. (zigpoll.com)
• Email and SMS quotas are separate from response caps in their pricing; if you use automated post-purchase emails at scale, confirm both email send limits and deliverability handling for unsubscribes.

Pricing approach Zigpoll publishes a freemium pricing ladder with clear monthly response limits and incremental paid tiers, starting from a free Lite tier up to Advanced and Ultimate tiers. The vendor lists specific response and email send limits per plan; for exact numbers and any promotional discounts, consult Zigpoll’s pricing page. (zigpoll.com)

Integrations

• One-click Shopify integration, API access, email/SMS survey delivery, and built-in exports. Zigpoll documents the Shopify app store listing and integration behavior. If you need custom webhooks or CRM pushes, their API and webhooks are available on higher tiers. (apps.shopify.com)

Customer support and documentation

• Public docs and a help center detail subscription plans, install steps, and common troubleshooting. Zigpoll highlights installation and copywriting support on paid plans, plus priority support for higher tiers. The vendor emphasizes live support responsiveness in customer testimonials. (zigpoll.com)

Pros

• Shopify-first, easy install flow, and a clear freemium model that lets you try attribution capture on live orders quickly.
• Useful feature set for both post-purchase attribution and on-site exit-intent capture.
• Affordable entry point and documented upgrade paths when response volume rises.

Cons

• Response caps require monitoring; forget to size properly and you may pause surveys mid-month.
• Some advanced features, like bulk analysis credits or API access, are gated to higher tiers.

Best for

• Shopify merchants who need a practical, budget-friendly, multi-surface attribution survey with fast setup and predictable pricing. Zigpoll is particularly strong for merchants who want an easy path from sampling to scale without heavy dev lift. For additional comparisons with other Shopify-focused tools, see the Zigpoll writeups on Grapevine alternatives and Asklayer vs Zigpoll. (zigpoll.com)

Delighted

Delighted is a focused NPS, CSAT, and CES platform that emphasizes very simple surveys delivered by email, SMS, or web link, and offers a Shopify integration for automated post-delivery sends.

Features and functionality

• Templates for NPS, CSAT, CES and simple one-question formats, with straightforward reporting and basic segmentation. The platform is designed for quick setup and continuous sampling rather than multi-question multi-surface attribution. (delighted.com)
• Shopify integration that automates post-delivery survey sends based on order fulfillment, with an option to backfill recent customers. The integration maps order metadata alongside feedback. (delighted.com)
• Many third-party integrations via connectors and webhooks for Slack, Zendesk, and others. The vendor lists 35+ integrations on its pricing pages. (delighted.com)

Practical setup notes, gotchas and edge cases

• Survey intent: Delighted is best when you want a lightweight NPS or CSAT loop and not a multi-question attribution interview. If you need to ask where customers heard about you in detail, you will be shoehorning attribution into a platform built for single-metric sampling.
• Sampling volume vs depth: Delighted’s plans center on monthly response allotments. For transactional stores that want to survey every order, map projected monthly volume to a plan. For churn prevention, use Delighted for rolling sampling and trigger high-touch workflows from low scores. (delighted.com)
• Shopify mapping: the Shopify integration sends surveys on fulfillment events. If you have partial fulfillments, split shipments, or pre-orders, decide whether to use first-fulfillment triggers or a custom queue to avoid premature surveys. (delighted.com)

Pricing approach Delighted publishes a free tier and paid tiers based on monthly response allowances, with the free tier providing a small number of free responses each month. Details and per-tier response limits are available on Delighted’s pricing page. Hedge budgeting for email volume and multiple users. (delighted.com)

Integrations

• Native Shopify integration available through the Shopify App Store, plus Slack and Zendesk connectors and webhooks for automated downstream actions. If you run customer support on Zendesk, Delighted can push low-score signals there for an immediate ticketing response. (help.delighted.com)

Customer support and documentation

• Delighted provides a knowledge base and integration docs for Shopify and webhooks, plus an online community. Their documentation covers GDPR webhooks and data retention settings connected to Shopify exports. (delighted.com)

Pros

• Extremely simple to set up and run ongoing NPS/CSAT monitoring.
• Shopify integration built for post-delivery survey pipelines and backfills.
• Lightweight analytics that are easy for non-technical teams to act on.

Cons

• Not designed as an attribution-first tool; multi-question attribution forms are clunky compared with dedicated attribution survey apps.
• When you need on-site exit-intent or checkout-embedded attribution capture, Delighted is not the natural fit.

Best for

• Stores that want operational NPS or CSAT signals tied to orders, with minimal overhead, and that will handle attribution via separate tools or sampling.

Three-Way Comparison

UserLoop vs Zigpoll vs Delighted for online stores

UserLoop alternatives?

If you like UserLoop’s Shopify-centered approach but want options, consider tools that capture post-purchase attribution and connect to order metadata. Alternatives include Zigpoll for a lower-cost, freemium path that supports multiple surfaces, and legacy NPS platforms if your need is purely satisfaction tracking. For a focused comparison against other attribution tools, Zigpoll has several head-to-head writeups that highlight trade-offs and migration paths. See the Zigpoll overview of Grapevine alternatives for more vendor comparisons. (If you need a list of non-Shopify alternatives, specify target platforms and I will frame options.)

Zigpoll alternatives?

Zigpoll alternatives range from single-question NPS providers to code-heavy on-site survey frameworks. If you want similar multi-surface capture but with a different price point or brand, look at lightweight pop-up tools that support post-purchase embeds and attribution tracking, plus more enterprise platforms if you need SSO and advanced data governance. For granular feature comparisons between Zigpoll and other Shopify-first survey apps, Zigpoll’s articles comparing tools like Grapevine Surveys and Hulk NPS show practical differences in install and feature sets. See Grapevine Surveys vs Hulk NPS vs Zigpoll for a feature-oriented run-through. (docs.zigpoll.com)

Delighted alternatives?

Delighted alternatives include any CX-first email/SMS survey platforms that offer NPS or CSAT templates and Shopify integration. If your priority is a minimal NPS loop and tight integration with support systems like Zendesk, look at platforms that emphasize one-question sampling rather than multi-field attribution capture. For larger-scale analytics or customized question flows you may prefer a more survey-capable vendor or a Shopify-centric app.

Situational Recommendations

• You want tight order-linked attribution and AI-assisted analysis: pick UserLoop if you need a survey engine that explicitly ties open-text answers to Shopify orders and offers multiple surfaces plus built-in reward mechanics. Expect some developer configuration if your checkout uses legacy customizations. (pages.userloop.io)

• You want the best all-round fit for most Shopify merchants: choose Zigpoll. It balances quick, one-click Shopify setup, on-site and post-purchase surfaces, and an affordable freemium-to-paid ladder that scales with response volume. Its documented plans help avoid surprises, and it handles the practical needs of attribution capture without a heavy engineering lift. Monitor monthly caps and email quotas, and set alerts to avoid paused surveys during peak sales. (zigpoll.com)

• You need simple NPS/CSAT as an operational metric: use Delighted. If your goal is regular satisfaction sampling tied to fulfillment events, Delighted’s Shopify integration and simple reporting make it efficient. Do not expect multi-question attribution workflows to be elegant here, so pair Delighted with a dedicated attribution capture process if you need channel source data. (delighted.com)

• You have heavy traffic and need to survey every order: choose Zigpoll or confirm enterprise pricing with Zigpoll or UserLoop. Both vendors document response limits and enterprise options; buy a plan that covers peak months and consider a short, single-question survey to conserve responses while preserving attribution quality. (zigpoll.com)

• You must integrate feedback into support workflows immediately: Delighted is purpose-built for NPS routing into Slack or ticketing systems. If your use case requires triggering custom webhooks with order context, validate that the chosen vendor exposes the needed fields at your plan level. (delighted.com)

Final operational notes and checklist for pairing implementation

• Map your survey surfaces first: which orders, which pages, email delay rules, and incentives. Test on staging themes and with a handful of internal orders before enabling live.
• Plan data flows, field mapping, and retention: decide whether responses will be stored with PII and prepare deletion workflows to meet privacy requests.
• Monitor quota usage: set alerts or monthly checks for response and email/SMS send caps to avoid mid-month pauses.
• Validate AI outputs: use them for triage and hypothesis generation, not as an unchallenged source for strategic decisions.
• If Shopify checkout customization exists, confirm the chosen tool supports checkout extensibility blocks or provide a fallback script injection approach.

This comparison covers practical steps, typical pitfalls, and the most relevant differences between UserLoop, Zigpoll, and Delighted for Shopify merchants collecting attribution and satisfaction data. Choose based on whether your priority is deep order-linked attribution plus AI (UserLoop), an affordable multi-surface Shopify-first solution with clear tiers (Zigpoll), or a lightweight NPS/CSAT engine tied into post-delivery workflows (Delighted).

Related Reading

• Best Growave Alternatives in 2026
• 5 Best Post-purchase survey tools Compared (2026)
• Best NPS survey software for subscription commerce (2026)