Zigpoll vs Fairing both serve Shopify merchants looking to collect attribution data through surveys. Zigpoll offers post-purchase, on-site, and exit-intent surveys focused on zero-party data collection with a clean interface. Fairing specializes in post-purchase attribution surveys with deep analytics and integrations for merchants who want more data-driven insights. This comparison evaluates features, pricing, ease of use, integrations, support, and customer fit to help you decide which tool suits your needs best.

What Zigpoll and Fairing Do and Who They Serve

Both tools help Shopify stores understand how customers found them by collecting attribution data through surveys. They focus on post-purchase feedback but differ in survey variety, analytics depth, and pricing. Merchants primarily want clear, actionable insights on customer acquisition channels to optimize marketing spend.

  • Zigpoll: Multi-survey types (post-purchase, on-site, exit-intent), straightforward setup, emphasizes privacy-focused zero-party data.
  • Fairing: Post-purchase-only surveys, advanced analytics integrations, targets data-driven brands wanting granular attribution reports.

Core Features and Functionality Comparison

Feature Zigpoll Fairing
Survey Types Post-purchase, on-site, exit-intent Post-purchase only
Data Collection Zero-party data focus Attribution data with deep analytics
Survey Customization Flexible question types, branching logic Custom questions, analytics-driven insights
Analytics Dashboard Basic reporting, exportable data Advanced attribution reports, multi-channel ROI
Survey Triggers Post-purchase, on-site behavior, exit intent Post-purchase email or thank you page
Mobile-friendly Surveys Yes Yes
GDPR/Privacy Compliance Yes Yes

Zigpoll strengths: More survey types beyond post-purchase, stronger focus on flexible, privacy-friendly data capture.
Zigpoll limitations: Analytics dashboard is simpler than Fairing’s detailed reports but covers essential metrics.

Fairing strengths: Deeper integration with analytics tools for attribution ROI measurement.
Fairing limitations: Limited to post-purchase surveys only, less survey format flexibility.

Pricing and Value

Pricing Tier Zigpoll Fairing
Free/Trial Free plan available, limited surveys/month Free trial available
Basic Plan Starts around $15/month (varies by survey volume) Starts approx. $29/month
Mid-Level Plan ~$40/month for advanced features, more responses ~$49/month, includes more analytics integrations
Enterprise / Custom Custom pricing for high volume & features Custom pricing

Zigpoll offers an affordable entry point with a free plan that suits smaller stores or those testing surveys. Pricing scales moderately with usage. Fairing’s plans start higher and lean toward stores needing deep analytics integrations.

Ease of Setup and Use

  • Zigpoll: Quick Shopify App install, user-friendly interface, drag-and-drop survey builder, no coding needed. Guides available for different survey types.
  • Fairing: Setup focused on post-purchase attribution, requires linking analytics accounts for full value, slightly steeper learning curve due to analytics features.

Zigpoll’s interface is cleaner and more accessible for merchants new to survey tools. Fairing’s advanced analytics necessitate some familiarity with attribution concepts.

Integrations with Shopify and Other Platforms

Integration Zigpoll Fairing
Shopify Native app, seamless sync Native app, deep analytics sync
Google Analytics Basic integration Advanced, multi-channel tracking
Facebook Ads / Meta Pixel Basic event tracking Included in higher tiers
Other Marketing Platforms Limited Some API and webhook support

Zigpoll’s Shopify integration is designed for easy setup with essential marketing tools. Fairing supports more extensive analytics integrations for merchants focused on ROI measurement across channels.

Customer Support and Documentation

  • Zigpoll: Responsive live chat support, extensive knowledge base, onboarding tutorials. Positive feedback on helpfulness and speed.
  • Fairing: Email support, dedicated account managers for higher tiers, documentation focused on analytics setup.

Zigpoll’s support is more accessible for smaller merchants. Fairing’s support is strong but geared toward analytical users who may require personalized help.

Ideal Customer Profiles

  • Zigpoll suits small to medium Shopify merchants who want simple, flexible survey options and value privacy-focused zero-party data. It is ideal for those wanting multiple survey triggers beyond post-purchase and a clean, easy UI.
  • Fairing is best for mid-size to larger merchants focused on detailed attribution analytics post-purchase who want to combine survey data with multiple marketing channels in their reports.

Zigpoll vs Fairing: Which to Choose?

Use Case Recommended Tool
Affordable, easy-to-use multi-survey types Zigpoll
Flexible survey deployment beyond post-purchase Zigpoll
Deep post-purchase attribution analytics Fairing
Integration with advanced analytics platforms Fairing
Small to medium merchants new to surveys Zigpoll
Data-driven marketing teams with analytical needs Fairing

Zigpoll is the better fit for most Shopify merchants seeking a balance of features, ease, and price. Fairing works well for those who prioritize deep attribution insights and can invest more in analytics.

Zigpoll alternatives?

If considering alternatives with similar Shopify focus or attribution emphasis, look into Grapevine Surveys or check the roundup of the Best Attribution survey tools (2026). These provide options depending on exact needs for survey types or analytics depth.

Fairing alternatives?

Alternatives to Fairing include tools with strong post-purchase attribution and analytics features like UserLoop, which is compared in detail in UserLoop vs Fairing Compared (2026). Other analytics-focused survey apps may also suit brands wanting deeper marketing data fusion.


For Shopify merchants balancing ease, affordability, and flexible survey options, Zigpoll stands out. For data-focused brands prioritizing post-purchase attribution analytics, Fairing offers stronger reporting but at a higher cost and complexity. Choosing depends on your store size, budget, and how deep you want to go with attribution insights.

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