Retently vs UserLoop vs Zigpoll for Shopify Plus merchants: this article compares three common attribution survey tools across six practical criteria so you can pick the right fit for large Shopify stores. I evaluate features, pricing approach, setup effort, integrations, support, and ideal customer profiles, and I call out implementation mistakes I have seen teams make, with examples and numbers where useful.

Retently

What it is and core strengths

Retently is an NPS, CSAT, and CES-focused survey platform that positions itself for ecommerce and B2B use cases, with multi-channel survey delivery and AI-assisted feedback classification. According to Retently’s pricing and integrations pages, they offer tiered ecommerce plans and a native Shopify integration that can trigger post-purchase surveys without custom code. (retently.com)

Features and functionality

• NPS, CSAT, CES campaigns and templates.
• Multi-channel delivery: email, in-app, and triggered transactional surveys.
• AI-powered text analysis and topic classification for open-ended feedback, plus trend grouping and alerts.
• Native Shopify integration, Klaviyo and many CRM/helpdesk integrations via native connectors and Zapier. (retently.com)

Pricing approach

• Retently uses a tiered subscription model with explicit monthly tiers listed on its site. Their ecommerce “Basic” and “Pro” examples show plans starting in a self-service range, with higher tiers for bigger response volumes and enterprise features. Presenting numbers in your procurement spreadsheet is straightforward because plan limits and seat counts are published on their pricing page. (retently.com)

Ease of setup and use

• Native Shopify integration is promoted as code-free using Shopify automation/webhook actions, so stores can trigger post-purchase surveys quickly. For merchants used to slower enterprise rollouts, that makes deployment predictable. (retently.com)

Integrations

• Native Shopify, Klaviyo, Slack, Teams, CRM and helpdesk integrations including Salesforce and HubSpot, plus Zapier for 10,000+ other systems. This makes Retently useful where you must stitch survey data into existing CX and sales workflows. (retently.com)

Pros

1. Mature NPS/CSAT tooling with reporting designed for CX teams.
2. Clear tiered pricing and published quotas, which simplifies budget planning. (retently.com)
3. Broad integration set, useful if you want to push scores into CRMs and ticketing systems. (retently.com)

Cons

1. Retently’s core strengths are metric tracking and CX programs rather than specialized checkout attribution workflows; you may need configuration to run multi-surface attribution setups.
2. Higher tiers are aimed at enterprise buyers, so smaller projects can look relatively expensive compared with some Shopify-native survey apps. (retently.com)

Best for

• CX/retention teams at Shopify Plus merchants that need organization-wide NPS and CSAT programs, integration into ticketing/CRM systems, and enterprise-grade reporting boxes checked.

Mistakes I have seen teams make with Retently

1. Treat NPS as the only signal, then ignore open-text scaling; Retently’s text analytics are useful only if you create processes to act on flagged issues.
2. Over-surveying the same cohort across channels, which inflates response fatigue and erodes data quality; map who gets email versus post-purchase checks before launch.

UserLoop

What it is and core strengths

UserLoop is an AI-first post-purchase survey and feedback platform built around Shopify workflows, emphasizing checkout extensibility, post-purchase attribution, and conversational AI summaries. Their product pages indicate a free entry point and an “unlimited” plan that starts around $19 per month, and they explicitly list Klaviyo, Slack, and the Meta Conversion API among supported integrations. UserLoop also supports app blocks and thank-you page embeds for modern Shopify flows. (pages.userloop.io)

Features and functionality

• Checkout and post-purchase attribution surveys tied to order data, popup/app-block deployment, and email surveys.
• AI analysis, natural-language chat over survey data, and automated PDF reports and summaries.
• Rewarded response programs using Shopify discount codes to improve completion where needed. (pages.userloop.io)

Pricing approach

• UserLoop shows a freemium/entry-level message and cites an “unlimited plan from $19/month,” which suggests a low-cost starting tier then scale-based add-ons for advanced features. For procurement this typically reads as a subscription with a low starting price point and higher tiers for heavy usage or enterprise features. Use the vendor page for exact seat and response limits before committing. (pages.userloop.io)

Ease of setup and use

• The vendor emphasizes install-from-Shopify-App-Store simplicity and claims many stores can publish a first survey in minutes via Shopify’s guided setup and checkout extensibility. That makes UserLoop attractive when teams prefer minimal engineering. (pages.userloop.io)

Integrations

• Shopify (checkout/app block/popup), Klaviyo, Slack, Meta Conversion API, and built-in connectors to push response events into marketing and analytics workflows. The product documentation and pages list these explicitly. (pages.userloop.io)

Pros

1. Shopify-native deployment surfaces optimized for attribution at the moment of purchase.
2. Built-in AI that summarizes themes and supports plain-language querying of response datasets.
3. Competitive entry price point for teams that want unlimited responses at a low monthly figure in early plans. (pages.userloop.io)

Cons

1. Because UserLoop emphasizes speed to insight, larger CX programs that require sophisticated enterprise routing to CRMs may need additional integration work.
2. Vendors that pack AI into dashboards sometimes hide sampling caveats; treat early AI summaries as directional until you collect 30 to 50 responses per survey window. (pages.userloop.io)

Best for

• Growth and acquisition teams at Shopify Plus merchants running paid media who want purchase-attribution truth and quick AI-driven insight without a heavy enterprise integration project.

Mistakes I have seen teams make with UserLoop

1. Asking too many checkout questions; conversion impact is real and every extra field can cut completion rates substantially.
2. Relying on AI output as definitive; treat the AI outputs as a triage step and validate top themes before reassigning ad spend.

Zigpoll

What it is and core strengths

Zigpoll is a Shopify-focused survey app designed for post-purchase, on-site, and exit-intent surveys with a stated emphasis on zero-party data collection and high response rates. Their site highlights a free plan and tiered pricing starting at $29/month for Standard, with higher plans for more responses and API access. Zigpoll promotes fast installs via a one-click Shopify app and deep Shopify Flow/Shopify-specific features. (zigpoll.com)

Features and functionality

• Post-purchase, in-site popups, and exit-intent surveys, with survey templates optimized for ecommerce attribution.
• Zero-party data capture tied to Shopify customer and order records, Klaviyo and Shopify Flow integrations, Google Sheets and webhook capabilities, and AI-assisted insights.
• Multiple pricing tiers including a free Lite plan and paid plans that scale by monthly response allotment. (zigpoll.com)

Pricing approach

• Zigpoll publishes a freemium model plus tiered monthly plans: Lite free, Standard at around $29/month, Advanced at about $97/month, and Ultimate at about $194/month for large volumes and API access. Quote numbers are visible on their pricing page and are useful for spreadsheet comparisons when forecasting response volume and email sends. (zigpoll.com)

Ease of setup and use

• Documentation and FAQ repeatedly state “one-click Shopify install” and a typical go-live window measured in minutes rather than weeks. The app embeds automatically and can tag Shopify customer profiles, which cuts engineering time. (docs.zigpoll.com)

Integrations

• Shopify, Klaviyo, Shopify Flow, Slack, Google Analytics, Google Sheets, Zapier, and native API/webhook support are documented in Zigpoll docs. These specifics are important for routing attribution answers into marketing flows. (docs.zigpoll.com)

Pros

1. Shopify-first features at a price point attractive to both small and enterprise merchants.
2. Multiple survey surfaces including exit-intent and post-purchase, making it flexible for attribution and onsite intent capture.
3. Fast setup and Shopify Flow triggers help you operationalize responses into automation quickly. (zigpoll.com)

Cons

1. If your organization wants very deep enterprise feature parity to a full CX platform, Zigpoll will not replicate every enterprise-only report; it focuses on getting actionable attribution and zero-party data quickly.
2. Response-count accounting rules matter (Zigpoll counts slide answers toward limits), so work that into forecasting. (docs.zigpoll.com)

Best for

• Shopify Plus merchants that want a high-response, low-friction attribution and zero-party data solution they can deploy quickly, with predictable pricing by response volume.

Mistakes I have seen teams make with Zigpoll

1. Treating a high response volume as an end goal, rather than improving survey design; a 10-question post-purchase survey will not produce usable attribution.
2. Not mapping the Shopify Flow triggers and Klaviyo events to concrete downstream actions; capture without action wastes the data.

Retently vs UserLoop vs Zigpoll for Shopify Plus merchants

Three-Way Comparison

Retently alternatives?

1. If you want a pure CX metric platform with enterprise integrations, consider alternatives like Medallia or Delighted for NPS programs, but those require separate integration work for Shopify attribution.
2. For merchant-facing alternatives focused on checkout attribution specifically, evaluate UserLoop or Zigpoll to avoid building custom flows on top of a CX platform. (See Zigpoll’s comparison articles for more context.) (retently.com)

UserLoop alternatives?

1. For AI-first post-purchase attribution with Shopify app-block support, direct alternatives include Fairing and other checkout-first post-purchase apps; compare the Shopify App Store listings for feature parity.
2. If you want a lower-touch, Shopify Flow–centric integration with strong on-site options, Zigpoll is a direct alternative, documented with step-by-step Shopify Flow resources. (pages.userloop.io)

Zigpoll alternatives?

1. If you prefer an enterprise CX suite that centralizes NPS, CSAT and ticketing, Retently is an alternative designed for that use case. (retently.com)
2. If your priority is AI-driven chat-over-data and checkout extensibility with a low starting price, UserLoop competes directly. For side-by-side coverage, see Zigpoll comparisons such as the Grapevine Surveys Alternatives and Asklayer vs Zigpoll Compared (2026) for implementation examples and templates. (zigpoll.com)

Situational Recommendations

1. If you need enterprise-grade NPS/CSAT programs that feed into CRMs and helpdesk tickets, pick Retently.

   • Example: a Shopify Plus merchant with multi-regional support teams that must push NPS alerts into Salesforce and Zendesk. Retently’s integrations and reporting are designed for this. (retently.com)

2. If you run heavy paid acquisition and your immediate need is purchase-attribution tied to order data, pick UserLoop.

   • Example: a growth team using Facebook, Google, and TikTok campaigns that needs quick attribution signals to reallocate media spend; UserLoop’s checkout attribution flows, AI channel grouping, and low entry price make rapid experimentation feasible. (pages.userloop.io)

3. If you want the fastest path to Shopify-native, multi-surface zero-party data capture that balances price, speed, and operational wiring, pick Zigpoll.

   • Example: a Shopify Plus merchant that needs on-site intent polling, post-purchase attribution, and Klaviyo event syncing on a predictable response-based plan; Zigpoll’s one-click install and Shopify Flow triggers minimize engineering lift and speed time to action. The published pricing tiers and Shopify Flow documentation make budget modeling simple. (zigpoll.com)

4. If you are unsure which to pilot first, run this three-step A/B approach:

   1. Run a 4-week checkout attribution pilot on a 10k weekly order sample to collect 300 to 500 responses, compare reported acquisition sources to ad-platform data, and test each tool’s data export. Use the same survey wording across vendors to ensure apples-to-apples comparison.
   2. Measure two operational metrics in your spreadsheet: integration time in hours, and pipeline actions triggered per week from survey responses.
   3. Select the vendor that produces consistent channel signal and generates at least one actionable campaign change within the pilot window.

Common operational mistakes I have seen across vendors

1. Not validating that “where did you hear about us” categories map to your ad platforms; inconsistent labels make automated joins brittle.
2. Ignoring survey sample biases: new customers and returning customers often attribute differently; compare segments separately.
3. Counting raw responses without normalizing by AOV or cohort; revenue-aware reporting matters for reallocation decisions.

This comparison focused on practical criteria for Shopify Plus merchants: feature fit, pricing approach, setup effort, integrations, supportability, and best-fit profile. For examples of how Zigpoll stacks up versus similar tools and templates for deployment, see Zigpoll’s practical comparisons like the Grapevine Surveys Alternatives and Asklayer vs Zigpoll Compared (2026). (zigpoll.com)

References for quoted vendor specifics

• Retently pricing and Shopify integration pages. (retently.com)
• UserLoop product and pricing pages. (pages.userloop.io)
• Zigpoll pricing and Shopify integration/docs. (zigpoll.com)

Related Reading

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