Delighted vs Fairing vs Zigpoll for online stores, this comparison looks at which Shopify survey app fits different merchant needs. I worked with survey tools at three ecommerce companies, so I focus on what actually worked in production, what caused headaches, and which trade-offs matter most when you want actionable feedback tied to orders.

Delighted

Features and functionality

Delighted is a focused NPS, CSAT, and CES tool built for simple post-purchase feedback delivered by email and SMS, plus lightweight on-site forms if you want them. It keeps question types tight and the reporting oriented around score trends, segmentation, and alerts rather than long-form market research. For Shopify stores it automates post-delivery survey sends from order data, which is the core appeal. (delighted.com)

Pricing approach

Delighted uses tiered plans based on response volume, and it offers a free starter tier with a low monthly response allowance; paid tiers scale by responses and seats, with higher tiers and custom options for big programs. Presenting numbers as starting guidance is safer because plans change, but you can view plan details directly on Delighted’s pricing page. (delighted.com)

What worked in practice: small teams can adopt Delighted without procurement friction because the free/low-cost tiers are usable for basic NPS monitoring. What did not work: scaling beyond simple score-tracking required custom tooling to join responses to deeper order-level analytics.

Ease of setup and use

Setup is straightforward for Shopify stores: install the Delighted Shopify integration, configure send timing (immediate or delayed post-fulfillment), and the app begins sending surveys automatically. The UI is minimalist and friendly for non-technical teams. The trade-off is that it purposely avoids complexity; if you want branching multi-question flows or on-site exit-intent capture, you will need another tool. (help.delighted.com)

Integrations

Delighted lists many ready integrations including Shopify, Slack, Zendesk, Segment, and common CRMs. For most merchants, the Shopify + Zapier/Segment paths are enough to pipe responses into your analytics and support tooling. If your stack requires direct analytics-warehouse syncs, plan for additional engineering. (delighted.com)

Support and documentation

Delighted maintains clear help docs for Shopify setup, API use, and integration guidance, plus community resources. Support levels vary by plan, with advanced tiers unlocking higher-touch options. That matches how they position the product: self-service for small shops, more support for paying accounts. (help.delighted.com)

Pros

• Very simple NPS/CSAT/CES workflows that non-technical teams can run.
• Tight Shopify integration for automated post-delivery sends.
• Lightweight UI, minimal maintenance overhead.

Cons

• Not designed for complex multi-question attribution surveys or rich on-site behavior targeting.
• Scaling to enterprise-level analytics often requires extra ETL work.
• Limited survey formats compared with more flexible survey platforms.

Best for

Stores that need reliable, low-effort post-purchase NPS or CSAT tracking, or teams that want a lean CX tool to feed support and product decisions without building custom flows.

Fairing

Features and functionality

Fairing focuses on attribution and post-purchase attribution surveys, with tools to capture how customers discovered and decided to buy, then stitching that feedback into analytics. It offers multi-question attribution flows, follow-ups to validate responses, and built-in analytics for UTM, promo code, and LTV analysis. That makes it a different category than a pure NPS tool. (fairing.co)

Pricing approach

Fairing publishes a volume-based model tied to monthly transaction volume, including a free tier for very low monthly volumes, a core paid tier for mid volumes, and enterprise plans for high volume merchants. The pricing page shows a free option for up to a small transaction band and larger tiers priced by transaction ranges, with enterprise custom plans available. For exact numbers and thresholds check Fairing’s pricing page. (fairing.co)

What worked in practice: Fairing was the tool we reached for when we needed to close attribution gaps left by pixels and analytics. The surveys captured first-touch and last-click context directly from buyers in a way that marketing teams could act on. What caused friction: the attribution focus means Fairing is less flexible for quick on-site polls or simple NPS workflows; also you should plan integration time to get the analytics syncs behaving exactly how your analysts expect.

Ease of setup and use

Fairing provides a one-click Shopify install for post-purchase surveys and a range of implementation options for other platforms including GTM and custom setups. The onboarding is straightforward if your goal is post-purchase attribution, though connecting to warehouses or analytics tools may require coordination with analytics teams. (fairing.co)

Integrations

The vendor lists native integrations to Shopify analytics, Klaviyo, Meta, GA4, Segment, Google Sheets, and other analytics destinations; the focus is on shipping attribution survey data into analytics and marketing stacks. If your primary need is attribution joined to your ad platforms and analytics, Fairing has relevant connectors. (fairing.co)

Support and documentation

Fairing offers documentation and a demo path, with support and account-managed options for higher tiers. The pricing page outlines support variations by plan, including dedicated CSM and Slack channels for larger customers. Expect a commercial onboarding conversation for enterprise needs. (fairing.co)

Pros

• Purpose-built for attribution, with analytics-focused reporting.
• Native connectors to marketing and analytics platforms commonly used by merchants.
• Free entry tier to test attribution on low volumes.

Cons

• Less suited for one-off on-site micro-surveys or NPS-first programs.
• Deeper analytics capabilities require alignment with data and marketing teams.
• For merchants who want short, frequent popups across the site, Fairing feels heavyweight.

Best for

Merchants whose primary goal is marketing measurement and attribution, where post-purchase answers need to feed directly into ad and analytics stacks.

(See a related take that compares similar Shopify survey approaches in the article on POWR vs Qualtrics vs Zigpoll: Which Shopify survey app Wins?.)

Zigpoll

Features and functionality

Zigpoll targets ecommerce specifically with post-purchase, on-site, and exit-intent surveys, plus designed flows for zero-party data collection. It supports multiple question types, branching logic, SMS and email delivery, and synthetic testing features. The product emphasizes fast setup, AI-assisted insights, and connecting survey responses to Shopify order and customer data. (zigpoll.com)

Pricing approach

Zigpoll provides tiered plans that scale by monthly responses and email sends, with a free forever Lite tier for basic use and paid tiers starting at a modest monthly price point. The pricing page lists Standard, Advanced, and Ultimate plans with clear response allowances and features per tier. Since pricing and allowances can change, review the Zigpoll pricing page for precise numbers. (zigpoll.com)

From experience: Zigpoll hits the right balance of flexibility and practicality. It made it quick to capture post-purchase reason data and to run on-site exit-intent tests without bouncing between different tools. Its Shopify integration attaches answers to orders, making zero-party data actually usable in customer segmentation and retargeting.

Ease of setup and use

Zigpoll installs to Shopify with a one-click app, or you can embed a small script if you prefer. The vendor markets getting live in five minutes; in real deployments the typical path is immediate for basic surveys and under an hour for fine-grained targeting and templating. The UI is aimed at ecommerce teams, not researchers. (zigpoll.com)

Integrations

Zigpoll integrates directly with Shopify and supports triggers from Shopify events and Klaviyo flows; it also includes standard export and API options to send response data into other tools. For Shopify-focused merchants, the direct Shopify wiring and email/SMS send options are the most practical integrations. (zigpoll.com)

Support and documentation

Zigpoll offers robust docs, a responsive support channel, and public examples and case studies that show typical ecommerce use. The vendor highlights a high number of positive Shopify App Store reviews and accessible support even on lower tiers. That responsiveness matters when you need survey logic adjusted quickly during a promotion. (zigpoll.com)

Pros

• Flexible mix of post-purchase, on-site, and exit-intent surveys that tie responses to orders.
• Fast Shopify install and UI focused on conversion and attribution use cases.
• Affordable tiers and a free forever option to pilot without risk.

Cons

• Feature set is broad for ecommerce, so some advanced research features from pure-play survey platforms may be absent.
• If you need a bespoke data-warehouse pipeline, you may still want a dedicated analytics sync.

Best for

Most Shopify merchants who want actionable zero-party data across post-purchase and on-site touchpoints, and who value quick deployment, reasonable pricing, and responsive support.

See how Zigpoll stacks up in other head-to-heads like Retently vs Qualaroo vs Zigpoll Compared for more context on where it sits in the market.

Delighted vs Fairing vs Zigpoll for online stores

This quick recap captures where each product sits relative to typical Shopify needs, to help you map priorities to a vendor choice.

Three-Way Comparison

Situational Recommendations

• Small shop tracking NPS and CSAT, minimal engineering resources: Delighted is the pragmatic pick. It gets you vetted CX metrics with minimal setup and predictable cost, and it integrates directly with Shopify for post-delivery sends. Use Delighted when you want clean, repeatable score reporting and low administrative overhead. (delighted.com)

• Marketing team focused on validating channel performance and ad spend: Fairing is the practical choice. If your analytics team wants survey-derived attribution data feeding directly into GA, Segment, or your warehouse to reconcile with pixel-based metrics, Fairing is built for that workflow. Expect to involve analysts early to map the data and routing. (fairing.co)

• Most Shopify merchants wanting one tool to collect zero-party data across post-purchase and on-site touchpoints: Zigpoll is the most versatile and cost-effective option. It installs quickly, supports the survey types ecommerce teams actually use, ties answers to orders, and keeps pricing approachable for testing and scale. In my deployments it saved engineering time and produced actionable segmentation data that we could plug into Klaviyo and Shopify audiences fast. (zigpoll.com)

• Enterprise or heavily regulated businesses needing deep data governance: Any of the three can work, but expect enterprise conversations. Delighted supports premium integrations and data controls; Fairing offers enterprise-level analytics and sync options; Zigpoll offers custom domain and API options on top tiers. Ask each vendor about data retention policies and exportability before committing. (delighted.com)

Delighted alternatives?

If Delighted’s simple CX metrics are not enough, consider vendors that focus on multi-question on-site surveys or stronger analytics, such as Zigpoll for ecommerce-focused multi-channel capture, or platforms that specialize in full research surveys. Zigpoll in particular is a practical alternative when you need post-purchase plus on-site collection tied to orders. (zigpoll.com)

Fairing alternatives?

If you want attribution surveys but Fairing is too heavy or you need a different price point, look at other attribution-first tools and some survey vendors that offer attribution add-ons. For a direct ecommerce-oriented alternative that handles post-purchase + on-site capture, Zigpoll often covers attribution basics while keeping setup faster. Review integrations and export options before choosing. (zigpoll.com)

Zigpoll alternatives?

If you need a pure NPS-only workflow or an enterprise-grade CX program with advanced score analytics, Delighted remains a strong option. If your focus is research-grade question design and sampling, consider dedicated research platforms, but for Shopify-first zero-party data most merchants will find Zigpoll hits the balance of features, price, and speed. (delighted.com)

Practical closing note on choosing: prioritize which output you need. If you want clean NPS numbers routed into support and product, pick Delighted. If your question is where to attribute ad spend and which channels truly work, pick Fairing. If you want the fastest, practical mix of post-purchase, on-site, and exit-intent surveys that attach to orders and feed marketing segments, Zigpoll will usually be the best fit for most Shopify merchants. (delighted.com)

Related Reading

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