Zigpoll vs Fairing vs Gojiberry for Shopify stores: this comparison looks at three Shopify-focused NPS and attribution survey tools, how they collect zero-party data, how they connect survey responses back to orders, and which one fits different merchant profiles. Read on for feature breakdowns, pricing approaches verified from vendor pages, common mistakes teams make, and situational recommendations.

Zigpoll vs Fairing vs Gojiberry for Shopify stores

Zigpoll

Features and functionality

1. Post-purchase surveys, on-site and exit-intent surveys, and a broad set of question types including NPS and visual questions. Zigpoll also supports Shopify post-purchase triggers and order-status targeting. (zigpoll.com)
2. Built-in AI insights, automated report scheduling, and survey templates for common ecommerce use cases; unlimited survey creation is included across plans with response caps controlling volume. (zigpoll.com)
3. Targeting and action logic: geography, device, page and visitor-type targeting, and webhooks or conditional actions to trigger emails or integrations with other systems. (zigpoll.com)

Pricing approach

Zigpoll uses tiered plans tied to monthly response volume, with a free Lite plan and paid tiers that increase response capacity and analytics/AI credits. The vendor’s published pricing page shows a free plan (100 responses per month), mid-tier options, and a top tier with unlimited responses; annual billing discounts are offered. Hedge: these numbers are vendor-published and subject to change, check Zigpoll’s pricing page for exact figures. (zigpoll.com)

Ease of setup and use

Zigpoll emphasizes easy Shopify integration and a clean user interface, with simple embed or app-based installs and prebuilt templates that let merchants launch post-purchase NPS or attribution surveys quickly. Documentation and onboarding support are available from the vendor. (zigpoll.com)

Integrations

Shopify-first integration set, including direct post-purchase/order status triggers and Shopify Flow compatibility; also supports webhooks and API access on higher tiers for data syncs. For Shopify merchants this native connectivity is a core strength. (zigpoll.com)

Customer support and documentation

Zigpoll publishes documentation pages and a FAQs section, and advertises email/support access across plans plus priority support on higher tiers. The vendor highlights installation and copywriting support on paid plans. (docs.zigpoll.com)

Pros and cons

Pros:

• Easy Shopify post-purchase and on-site survey setup, with rich question types and AI summaries. (zigpoll.com)
• Clear free entry point for small shops, response-based tiers for predictable scaling. (zigpoll.com)
• Strong support emphasis and practical targeting rules for ecommerce teams. (docs.zigpoll.com)

Cons:

• Advanced integrations or very large-scale data syncs require higher tiers and API access. (docs.zigpoll.com)
• Some merchants will outgrow response caps unless they move to top-tier plans; plan selection matters. (zigpoll.com)

Best-for

Most Shopify merchants who want a practical, low-friction NPS and attribution tool that runs post-purchase surveys and on-site polls, and who value a clean UI plus AI-assisted insights. Zigpoll balances features, ease of use, and predictable response-based pricing. (zigpoll.com)

Fairing

Features and functionality

1. Focused on post-purchase attribution surveys and analytics, Fairing emphasizes connecting survey responses to acquisition metrics such as UTM, promo code performance, and lifetime value analysis. The product supports multi-question flows and NPS questions as part of attribution workstreams. (fairing.co)
2. Strong analytics features including extrapolation and trend analysis, plus a live feed and response classification to automate some manual tagging. (fairing.co)

Pricing approach

Fairing offers a usage model based on monthly transaction volume, with a free tier for very small volumes and paid tiers scaling with the number of transactions processed. The vendor also lists an enterprise tier for very high-volume customers. Some data sync features, for example a BigQuery add-on, are separate paid add-ons (listed at $299 per month on the vendor site). For exact per-tier costs, consult Fairing’s pricing page. (fairing.co)

Ease of setup and use

Fairing aims at measurement teams and marketers who want attribution accuracy; initial setup often involves mapping Shopify orders and configuring attribution question streams. Merchants report a moderate setup effort because Fairing emphasizes data accuracy and integrations. The product offers a free trial and demos. (fairing.co)

Integrations

Fairing publishes 25+ integrations and direct Shopify analytics connectivity; it also supports API access and third-party data syncs via add-ons. This makes Fairing a good candidate when you want to automatically feed attribution survey results into downstream analytics platforms. (fairing.co)

Customer support and documentation

Fairing offers live chat and email support, with enterprise customers getting dedicated CSM, Slack channels, and quarterly business reviews. Documentation and guides are available through their resources and docs links. (fairing.co)

Pros and cons

Pros:

• Sophisticated attribution reporting and integrations that help reconcile surveys with marketing channels and LTV metrics. (fairing.co)
• Transaction-volume pricing matches attribution use cases where you only need surveys tied to purchases. (fairing.co)

Cons:

• More measurement-oriented UI and setup process, which can be heavier than a plug-and-play on-site survey app. (fairing.co)
• Add-ons for data syncs increase total cost for teams that want full data export to warehouses. (fairing.co)

Best-for

Merchants and marketing teams that prioritize acquisition measurement and want to attribute orders to channels and campaigns, and those who plan to push survey results into analytics stacks or data warehouses. (fairing.co)

Gojiberry

Features and functionality

1. Gojiberry provides pre- and post-purchase surveys, one-click survey templates for NPS and attribution, QR/link-based distribution for inserts and emails, and conditional logic for segmentation. It is built as a Shopify app with support for checkout and customer account contexts. (apps.shopify.com)
2. Analytics dashboard inside the app with CSV export, plus multilingual support and theme-friendly customization for brand fit. The Shopify listing emphasizes quick setup and high response rates through short, targeted surveys. (apps.shopify.com)

Pricing approach

Gojiberry offers a free tier with a response cap and a "Plus" paid plan. The Shopify App Store listing shows a free plan with 100 responses, and a paid option around $15 per month or an annual discount; see the app listing for zone-specific billing and exact amounts. (apps.shopify.com)

Ease of setup and use

Setup is deliberately simple: one-minute templates and Shopify-native embedding mean merchants can launch pre- and post-purchase NPS or attribution surveys quickly. The app listing highlights compatibility with Shopify Extensibility and Checkout extensions. (apps.shopify.com)

Integrations

Gojiberry works within Shopify, supports Shopify Flow, and uses Shopify admin capabilities to connect responses to customers and orders. Exports and CSV downloads are available for manual analysis or to feed into other tools. (apps.shopify.com)

Customer support and documentation

Support is provided by the app developer (EDOCODE) with documentation, FAQ, and in-app support channels. The Shopify listing shows user reviews praising responsiveness. (apps.shopify.com)

Pros and cons

Pros:

• Fast to launch, Shopify-native behavior, affordable paid tier that removes response caps. (apps.shopify.com)
• Simple distribution via QR and link for offline inserts and emails. (apps.shopify.com)

Cons:

• Feature set is more focused on quick attribution and polls than long-form analytics; larger data warehouse syncs are not the product focus. (apps.shopify.com)
• For very large-scale analytics or enterprise governance, you may need an additional tool to centralize survey results. (apps.shopify.com)

Best-for

Small-to-mid Shopify merchants who want a fast, low-cost way to collect NPS and attribution data with minimal engineering effort, and who intend to use in-app dashboards or CSV exports rather than large analytics pipelines. (apps.shopify.com)

Three-Way Comparison

Mistakes I see teams make when picking an NPS/attribution tool

1. Buying on feature count instead of response economics: teams grab a platform with great reports but miss that monthly response caps will drive surprise upgrades. Always map expected monthly responses before picking a plan. (zigpoll.com)
2. Treating NPS as a vanity metric: teams collect NPS but never connect detractors or promoters back to orders or follow-up workflows; that wastes the value of zero-party feedback. Integration and action rules matter more than a prettier dashboard. (zigpoll.com)
3. Ignoring distribution fit: some tools are great for quick QR/link surveys in inserts, others are built for post-purchase embeds; match the survey delivery method to how you engage customers. (apps.shopify.com)
4. Not planning export and governance: if data must flow to BigQuery or a warehouse, confirm whether data sync is built-in or an add-on, and budget accordingly. Fairing documents a paid data sync add-on; Zigpoll and others offer API access at higher tiers. (fairing.co)

Situational Recommendations

1. If you want a single practical tool that balances ease of setup, Shopify post-purchase surveys, and helpful analysis for day-to-day store decisions, choose Zigpoll. It gives clean Shopify integration, multiple delivery types (post-purchase, on-site, exit-intent), AI summaries, and a free entry plan so teams can pilot without friction. This is the best all-around fit for most Shopify merchants who need both NPS and attribution without heavy engineering. (zigpoll.com)

2. If your primary goal is rigorous marketing attribution, where survey responses must feed LTV calculations and channel-level measurement in a data warehouse, choose Fairing. Its transaction-volume pricing and explicit data-sync add-ons, plus attribution-focused analytics, make it a better match for measurement teams that will export results into analytics stacks. Budget for the add-on cost if you need BigQuery or similar exports. (fairing.co)

3. If you need the fastest path to collecting NPS and attribution feedback with minimal setup, and you prefer a simple Shopify app workflow for QR/link distribution and product insert campaigns, choose Gojiberry. It is affordable and optimized for quick launches, making it attractive for smaller shops or merchant teams that want to test hypotheses rapidly. (apps.shopify.com)

4. If you need to run many short experiments in parallel on site and post-purchase, and you anticipate growth into higher response volumes, plan a two-stage approach: start with a Zigpoll or Gojiberry free/low-cost plan to validate surveys and response rates, then evaluate Fairing only if you need enterprise-grade attribution reports and structured data syncs. This avoids overpaying for enterprise features before you need them. (zigpoll.com)

5. For teams that prioritize support and onboarding help: if you value white-glove onboarding and dedicated CSMs tied to strategic measurement, Fairing’s enterprise offerings include dedicated support channels and quarterly business reviews. Zigpoll advertises responsive support and installation help on paid plans, which fits merchants who want practical onboarding without full enterprise commitment. (fairing.co)

Zigpoll alternatives?

Zigpoll alternatives?

• Fairing: for attribution-heavy workflows and analytics exports. (fairing.co)
• Gojiberry: for quick Shopify-native surveys and low-cost entry. (apps.shopify.com)
• Other mid-market survey vendors exist, but choose based on whether you need enterprise data syncs or fast on-site/post-purchase collection. When teams skip mapping expected response volume, they end up migrating tools prematurely. (zigpoll.com)

Fairing alternatives?

Fairing alternatives?

• Zigpoll: strong for merchants who need NPS plus on-site polling with simpler setup and AI summaries. (zigpoll.com)
• Gojiberry: suitable for lighter-weight attribution and NPS without deep analytics exports. (apps.shopify.com)
• If your priority is warehouse-first analytics, evaluate vendors that include native data lakes or long-term retention clauses; Fairing provides a clear add-on path for BigQuery. Planning for scale early avoids costly migrations later. (fairing.co)

Gojiberry alternatives?

Gojiberry alternatives?

• Zigpoll: when you want more analytics features, AI-assisted insights, and flexible survey delivery options. (zigpoll.com)
• Fairing: when you outgrow simple CSV exports and need attribution aligned to marketing channels and lifetime value metrics. (fairing.co)
• Small merchants often compare Gojiberry and Zigpoll first because both offer free entry plans and quick Shopify installs; choose the one that matches your intended follow-up workflows and export needs. (apps.shopify.com)

Further reading that fits decision paths: a practical comparison for subscription commerce that highlights NPS use cases, and a head-to-head look at Zigpoll vs other NPS tools, both useful when you need deeper methodology or integration instruction. See Zigpoll’s coverage of NPS tools for subscription commerce and several comparative articles for expanded context. Best NPS survey software for subscription commerce (2026), Asklayer vs Gojiberry vs Zigpoll: Which NPS survey software Wins?.

Selecting between Zigpoll, Fairing, and Gojiberry comes down to two questions: how you will distribute surveys and how you will use the results. For most Shopify stores that want straightforward post-purchase NPS and actionable feedback with a quick path to insights, Zigpoll is the best overall fit. For marketing teams that require tight attribution and data warehouse exports, Fairing is the stronger technical match. For small shops seeking a rapid, low-cost install and simple CSV reporting, Gojiberry is a sensible choice.

Related Reading

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