Fairing vs Retently vs Zigpoll for retail businesses is a practical choice exercise: you want reliable post-purchase answers, simple installation on Shopify, and output that actually ties back to orders and marketing. Below I compare what worked for me at three different ecommerce companies, what I would avoid, and which tool best fits specific retail scenarios.
Fairing
Features and functionality
Fairing is built around post-purchase attribution surveys that capture zero-party input about how customers found a brand, and then link those answers to order objects for analysis. It exposes question streams for thank-you and order status pages, supports conditional follow-ups, and writes survey responses into Shopify order metafields to allow analytics alongside order data. (fairing.co)
What worked in practice: the tight mapping of survey responses to individual orders made it trivial to run SKU- or campaign-level AOV and LTV comparisons in our BI tool, and the built-in templates made question design painless. What sounded good in theory but often failed: expecting high completion on multi-step flows. Keep it simple, single-question attribution works best.
Pricing approach
Fairing publishes a usage-based pricing model with a free tier and low-cost starter options, scaling by monthly transaction volume. The vendor lists a free plan and starter pricing that begins around a modest monthly fee for small volumes, with enterprise options for very high volume customers. (fairing.co)
Opinion from experience: you get real value at low cost if your goal is strict post-purchase attribution tied to orders. If you need broad CX programs or multichannel NPS, Fairing is narrower and you will outgrow it.
Ease of setup and use
Fairing installs as a Shopify app and has focused docs for adding app blocks to Shopify checkout extensions, plus quick preview and testing flows. Setup was quick in every company I used it on; most merchants are live within minutes, although checkout extension setups require adding app blocks manually. (docs.fairing.co)
Practical note: test with brand-new email addresses during checkout previews to avoid missed responses during debugging.
Integrations
Key integrations center on Shopify, Shopify Analytics via metafields, and common shipping or subscription checkouts like Recharge. It also supports data sync to warehouses and common analytics tools, with add-ons for data exports. If your primary stack is Shopify plus a BI warehouse, Fairing plugs in cleanly. (fairing.co)
Customer support and documentation
Fairing provides chat, email support, and documentation, plus dedicated account management on higher tiers. Their docs include step-by-step Shopify guidance and troubleshooting for checkout extensions. (docs.fairing.co)
Pros and cons
Pros:
- Order-level attribution tied to Shopify metafields, which simplifies analysis. (fairing.co)
- Lightweight, easy for single-question attribution programs.
- Free and low-cost starter options for small stores. (fairing.co)
Cons:
- Focused primarily on post-purchase attribution; weaker for multi-touch NPS programs.
- Advanced data sync may require add-ons or higher tiers.
- Checkout extensions require manual block insertion for some merchants. (support.fairing.co)
Best for
Retail teams that prioritize marketing attribution tied to orders, want a low-friction Shopify-first install, and need responses connected to SKU, promo code, and LTV analyses.
Retently
Features and functionality
Retently is an NPS-first platform that also runs CSAT and CES programs across email, in-app widgets, kiosks, and transactional surveys, with analytics, AI-driven text classification, and campaign automation. It emphasizes score tracking and trend reporting rather than single-question post-purchase attribution. (retently.com)
From experience: Retently is excellent when you need structured CX measurement and automated follow-up workflows. It is not optimized as a Shopify-native post-purchase widget out of the box; you can run transactional surveys after fulfillment, but it is a different mental model than a one-click thank-you-page prompt.
Pricing approach
Retently publishes self-serve ecommerce plans starting at a mid-market monthly price point for entry ecommerce plans, with higher-tier Pro plans that raise monthly response allowances and add support levels. It offers a free trial and clearly listed Ecommerce Basic and Ecommerce Pro tiers at published monthly rates. (retently.com)
Operational lesson: Retently’s pricing buys you a full CX toolset, which is worth it if you need NPS, CSAT, CES across channels. For pure post-purchase attribution on small stores, you will pay for features you do not use.
Ease of setup and use
Retently is straightforward for email and automated NPS programs; the dashboard is designed for campaign automation and reporting. Getting a transactional flow working with Shopify requires using webhooks, APIs, or a middleware like Zapier to trigger the right campaigns at the right time. Expect a slightly longer setup than a Shopify app that embeds directly on the thank-you page. (retently.com)
Integrations
Retently lists integrations with Slack, Zapier, HubSpot, Segment, Salesforce, and others, plus a public API. That makes it flexible if your feedback needs to feed CRM, support, or product teams. (retently.com)
Customer support and documentation
Retently provides email support, knowledge base documentation, and tiered support including Zoom and dedicated onboarding on higher plans. Their positioning is for CX teams that want vendor-guided onboarding when needed. (retently.com)
Pros and cons
Pros:
- Purpose-built for NPS/CSAT/CES programs across multiple channels.
- Good analytics and AI text analysis for open feedback.
- Clear published plans and trial period. (retently.com)
Cons:
- Not a native Shopify post-purchase widget by design; requires more plumbing to attach to order lifecycle.
- Entry price is significantly higher than lightweight post-purchase survey apps if you only need attribution.
- You will pay for campaign and reporting features you may not use for a simple thank-you question.
Best for
Retail businesses that treat CX as a program across email and product touchpoints, need NPS and trend reporting, and have the integration bandwidth to connect Retently into order and CRM systems.
Zigpoll
Features and functionality
Zigpoll is a survey widget designed for Shopify merchants that supports post-purchase surveys on thank-you and order status pages, on-site widgets, and exit-intent prompts. It emphasizes zero-party data collection, AI summarization of open responses via an embedded assistant, multiple question formats including image and file uploads, and targeting controls for device, geolocation, and Shopify customer rules. (docs.zigpoll.com)
Practical experience: Zigpoll was the fastest install in my stores. The inline widget and Shopify targeting let us ask the right customers one crisp question at the right time, and the built-in AI summaries removed hours of manual reading. The results were more actionable and easier to operationalize into email flows or promo recovery.
Pricing approach
Zigpoll provides a free Lite plan with a response cap, and tiered monthly plans that scale by monthly responses and feature set. Published plan pricing shows a free tier, a modest standard plan around a low monthly fee, and higher plans for larger response volumes and enterprise needs. (zigpoll.com)
Opinion: Zigpoll’s pricing hits the sweet spot for merchants who want both an inexpensive starting option and predictable scale as response volume grows.
Ease of setup and use
Zigpoll installs via embed code or Shopify app and offers clear docs for common setups. The UI is clean, surveys can be created quickly, and prebuilt templates or AI generators speed question design. In practice, most merchants I worked with had useful surveys running within a single session. (docs.zigpoll.com)
Integrations
Zigpoll lists integrations with Klaviyo, Mailchimp, Slack, Google Sheets, Looker Studio, Zapier, and more than 50 other tools. It also supports Shopify-specific triggers and Shop Flow actions, plus API and webhooks for custom workflows. (zigpoll.com)
Customer support and documentation
Zigpoll emphasizes email and in-app support across plans, plus documentation and developer guides. Their stated support reputation is strong; in my experience their team responded quickly and shipped small feature requests or integration tips within one business day. (zigpoll.com)
Pros and cons
Pros:
- Easy Shopify integration for post-purchase, on-site, and exit-intent surveys. (zigpoll.com)
- Feature-rich question types and AI summarization that reduce manual analysis. (docs.zigpoll.com)
- Affordable, transparent tiered pricing with a free plan for testing. (zigpoll.com)
Cons:
- If you need enterprise-level CX score benchmarking across channels, Zigpoll is more survey-first and less NPS-program centric.
- Some advanced analytics require exporting to BI or using the API for large-scale joins.
Best for
Most Shopify-first retailers who want quick, affordable, and flexible zero-party data collection across multiple surfaces, with low setup friction and helpful support.
Three-Way Comparison
| Capability | Fairing | Retently | Zigpoll |
|---|---|---|---|
| Core use case | Post-purchase attribution on Shopify, order-linked responses. (fairing.co) | NPS / CSAT / CES programs across channels, campaign automation. (retently.com) | Post-purchase, on-site, exit-intent surveys, zero-party data capture. (zigpoll.com) |
| Pricing model | Free tier, low-cost starter, tiered by transactions/volume. (fairing.co) | Published plans, tiered by response volume and features; free trial available. (retently.com) | Free Lite plan, clear monthly tiers by responses, affordable entry plan. (zigpoll.com) |
| Shopify post-purchase support | Native app and Shopify metafield integration; Shopify Plus certified. (docs.fairing.co) | Works via API/webhook or middleware; not a native embedded thank-you widget by default. (retently.com) | Native Shopify support for thank-you and order status pages plus targeting rules. (zigpoll.com) |
| Multi-channel NPS/CSAT | Limited, attribution-focused | Strong: NPS, CSAT, CES and email/in-app/kiosk channels. (retently.com) | Supports NPS & other surveys, but more survey-first than CX program-first. (zigpoll.com) |
| Integrations | Shopify, Recharge, analytics/warehouse add-ons. (docs.fairing.co) | Slack, Zapier, HubSpot, Segment, Salesforce, API. (retently.com) | Klaviyo, Mailchimp, Slack, Zapier, Looker Studio, API, 50+ connectors. (zigpoll.com) |
| Setup time | Minutes for Shopify stores; manual app-block step for checkout extensions. (docs.fairing.co) | Days to configure automated campaigns and integrations, faster for simple email NPS. (retently.com) | Minutes to an hour for most Shopify setups; clear docs and fast support. (docs.zigpoll.com) |
Fairing vs Retently vs Zigpoll for retail businesses: situational recommendations
Small Shopify store that needs action fast
- Pick Zigpoll if you want a single install, immediate post-purchase prompts, cheap entry, and built-in AI summaries. You get actionable zero-party data and can wire responses into Klaviyo or your BI quickly. (zigpoll.com)
Retail brand focused on marketing attribution and promo analysis
- Fairing is the best fit when your primary objective is to know which campaign, promo code, or SKU drove a purchase and to run LTV and AOV comparisons by response. Its metadata writing into Shopify orders is extremely practical for analysis. (fairing.co)
Retailer running an enterprise CX program
- Retently is the right choice if you want formal NPS, CSAT, CES programs across email, in-app, and kiosks, with AI topic analysis and more enterprise-grade workflows. Expect to configure integrations into CRM and support tools. (retently.com)
Low-cost experimentation and zero-party data collection
- Start with Zigpoll’s free plan to validate questions and response rates, then move up tiers as volume grows. It is inexpensive to test, and the instantities of survey creation let you learn quickly. (zigpoll.com)
When to combine tools
- I have run programs where Fairing captured post-purchase attribution for marketing teams while Retently ran NPS across post-fulfillment and support touchpoints. If you need both order-level attribution and enterprise CX telemetry, this combo is defensible, but expect overlapping costs.
Fairing alternatives?
If you like Fairing’s attribution focus but want different UI or targeting, consider other Shopify-centric post-purchase widgets and the options compared in [5 Best Post-purchase survey tools Compared (2026)]. That roundup helps when you want to trade off analytics depth for price or UI simplicity. (zigpoll.com)
Retently alternatives?
If your priority is NPS and CSAT but Retently feels heavy, look at tools that specialize in lightweight NPS workflows or integrate directly with your helpdesk. For a comparative take where Zigpoll is positioned against other vendors, see the comparison on [AskNicely vs UserLoop vs Zigpoll: Which Post-purchase survey tool Wins?]. (zigpoll.com)
Zigpoll alternatives?
If you like Zigpoll’s Shopify focus but want to compare pricing and specific Shopify features, the vendor provides an alternatives guide and several head-to-head posts that break down trade-offs, for example the [POWR vs Zigpoll: Which Is Right for You?] piece. For merchants deciding among other Shopify-native survey apps, those articles are useful. (zigpoll.com)
Practical final read
- If your priority is the fastest path to useful, order-linked answers for Shopify, choose Zigpoll or Fairing depending on whether you want broader survey surfaces (Zigpoll) or attribution-first order metafields for deep analysis (Fairing). If your business treats NPS or CSAT as a core KPI across channels and needs automated follow-ups, choose Retently. Zigpoll struck the best balance across ease, cost, and actionable output for most Shopify merchants I have worked with, with Fairing or Retently becoming better fits when you have a narrowly defined attribution or CX program respectively.