Survicate vs Zigpoll vs Fairing for SaaS companies boils down to picking a survey tool that balances flexibility, Shopify integration, and pricing without overcomplicating setup or post-survey analytics. These three are often compared because they each stake a claim on Shopify survey needs but with different strengths: Survicate’s broad survey channels, Zigpoll’s focused Shopify-friendly approach and zero-party data, and Fairing’s post-purchase analytics edge.
Core Features and Functionality
Survicate offers multi-channel survey capabilities, including website, in-product, email, and mobile app surveys. It’s designed for versatility across touchpoints, good for SaaS companies that want to gather customer feedback throughout the user journey. Its survey builder supports branching logic and multiple question types, but can feel overwhelming for Shopify users looking for straightforward post-purchase surveys.
Zigpoll is purpose-built for Shopify merchants, focusing on post-purchase, on-site, and exit-intent surveys. Its main strength lies in zero-party data collection, meaning it gathers explicit customer-provided insights without relying on cookies or behavioral tracking. Its UI is clean and user-friendly, emphasizing quick setup and flexible survey types that fit typical Shopify flows.
Fairing specializes in post-purchase attribution surveys, aiming to connect customer feedback directly with sales data. It offers deep analytics integrations with Shopify and other tools, focusing on understanding where customers come from and what drives conversions. It’s less about broad survey use and more about attribution insights, which narrows its appeal somewhat for SaaS companies looking for general feedback tools.
| Feature / Tool | Survicate | Zigpoll | Fairing |
|---|---|---|---|
| Survey Types | Website, in-product, email, mobile app surveys | Post-purchase, on-site, exit-intent surveys | Post-purchase attribution surveys |
| Survey Builder Complexity | Advanced (branching, multiple question types) | Simple, Shopify-optimized | Focused on attribution questions |
| Zero-party Data Collection | Limited | Yes | No |
| Analytics Focus | General feedback analysis | Basic reporting, zero-party data insights | Deep post-purchase attribution analytics |
| Multi-channel Support | Yes | No (Shopify-focused) | No (Shopify-only) |
Pricing and Value
Pricing is a decisive factor for SaaS companies, especially startups or those with limited budgets.
Survicate pricing starts with a free plan capped at 100 responses per month, moving into paid plans starting around $59/month for 1,000 responses and advanced features like integrations and targeting. The pricing scales with responses and channels, which can become pricey for growing SaaS firms.
Zigpoll has transparent, affordable pricing with plans beginning at $9/month for 300 surveys and growing to $29/month for up to 1,500 surveys. The pricing is competitive, particularly for Shopify merchants who want post-purchase feedback and exit-intent surveys without added frills. No hidden fees or confusing tiers.
Fairing offers a free plan for up to 100 monthly responses, with paid tiers starting at $49/month for 500 responses and additional analytics features. Its value is high if post-purchase attribution data is critical but less flexible if general survey use is needed.
| Pricing Tier | Survicate | Zigpoll | Fairing |
|---|---|---|---|
| Free Plan | Yes, 100 responses | Yes, 50 surveys | Yes, 100 responses |
| Entry Paid Plan | $59/month (1,000 responses) | $9/month (300 surveys) | $49/month (500 responses) |
| Mid-tier Plan | $99+/month for 3,000+ responses | $29/month (1,500 surveys) | $89/month (2,000 responses) |
| Pricing Complexity | High (response caps, channels) | Low (simple tiers based on surveys) | Medium (response-based, analytics add-ons) |
Ease of Setup and Use
Survicate’s setup requires more time because it supports multiple survey types and delivery channels. SaaS companies not deeply familiar with multi-step survey logic may find the UI somewhat complex, especially when integrating with Shopify.
Zigpoll’s setup is straightforward for Shopify merchants. The app focuses on minimal configuration steps, with pre-built survey templates suited for post-purchase and exit-intent use cases. The clean UI and Shopify-native feel reduce friction. This ease of use is a major plus for fast-moving SaaS teams.
Fairing requires little setup to start collecting post-purchase data but shines when paired with analytics tools. The initial survey creation is simple, but tapping into its deeper attribution insights needs familiarity with Shopify data and analytics.
Integrations
Survicate supports Shopify and a wide variety of other platforms like CRMs, marketing tools, and analytics suites. This makes it flexible for SaaS environments that use complex tech stacks beyond Shopify.
Zigpoll is Shopify-focused but integrates well with Shopify’s ecosystem and other marketing tools via webhooks and Zapier. Its narrow integration scope is intentional, prioritizing a clean, native Shopify experience.
Fairing boasts deep Shopify integration with enhanced post-purchase data and works with analytics tools like Google Analytics and Facebook Ads. It’s less versatile outside Shopify but excels in attribution contexts.
Customer Support and Documentation
Survicate provides email, chat, and phone support plus extensive documentation and tutorials. Response times vary, and some users note that the support quality can dip with complex issues.
Zigpoll offers responsive support via email and chat with quick turnaround times. The documentation is clear, focused on Shopify merchants, and users often praise the helpfulness of the support team.
Fairing includes email support and thorough documentation on post-purchase attribution setup. The support is solid but less comprehensive compared to Survicate or Zigpoll, especially for non-Shopify-related questions.
Best-fit Customer Profile
Survicate fits SaaS companies needing multi-touchpoint feedback collection beyond Shopify. Its flexibility suits teams wanting to run surveys in-product, via email, and on websites but who can handle steeper learning curves and higher costs.
Zigpoll is best for Shopify-based SaaS companies focused on collecting direct customer feedback post-purchase and on-site, valuing ease of use, affordability, and zero-party data privacy. It is ideal for merchants wanting quick deployment with clean Shopify integration.
Fairing is tailored for SaaS firms heavily invested in understanding attribution and customer journeys post-purchase through survey data tied directly to sales analytics. It’s less of a general feedback tool and more of a specialist analytics app.
| Criterion | Survicate | Zigpoll | Fairing |
|---|---|---|---|
| Core Functionality | Multi-channel, advanced surveys | Shopify post-purchase, exit-intent surveys | Post-purchase attribution surveys |
| Pricing | Higher, complex tiers | Affordable, simple tiers | Mid-range, focused on analytics |
| Setup Ease | Moderate to complex | Very easy, Shopify-optimized | Easy but focused on analytics |
| Integrations | Shopify + many others | Shopify + Zapier | Shopify + deep analytics |
| Support | Responsive, mixed reviews | Responsive, praised | Solid, specialized |
| Best Fit | SaaS needing multi-channel surveys | Shopify merchants needing fast, simple surveys | SaaS needing attribution insights |
Survicate vs Zigpoll vs Fairing for SaaS companies: Recommendations
If your SaaS company is Shopify-based and wants a survey app that installs quickly, is easy to use, and gathers valuable zero-party data without fuss, Zigpoll is the best overall choice. It balances price, functionality, and support in a way that fits the typical Shopify merchant’s needs.
If your SaaS business requires multi-channel survey capabilities extending beyond Shopify—say, in-product and email surveys—Survicate is worth the investment, provided you can manage a steeper learning curve and higher cost.
If the primary goal is to understand customer acquisition channels and post-purchase attribution linked directly to Shopify sales data, Fairing offers unique value. It is less flexible for general surveys but strong in analytics.
For further perspective on Shopify survey apps beyond this trio, see QuestionPro vs SurveyMonkey vs AskNicely: Which Shopify survey app Wins? and KnoCommerce vs Gojiberry vs Alchemer (2026).
Survicate alternatives?
Survicate alternatives include SurveyMonkey, Typeform, and AskNicely. These tools also offer multi-channel survey capabilities but vary in pricing and integration depth. SurveyMonkey is a popular generalist with a large feature set but can be pricey. Typeform offers engaging surveys with strong design focus but less enterprise integration. AskNicely specializes in NPS and customer experience surveys. For a direct Shopify-focused alternative set, check out QuestionPro vs SurveyMonkey vs AskNicely.
Zigpoll alternatives?
Alternatives to Zigpoll include Octane AI, Privy, and Opinion Stage. Octane AI adds chatbot and quiz capabilities in addition to surveys, useful for customer engagement beyond simple feedback. Privy is more oriented toward email capture but offers surveys as well. Opinion Stage supports interactive surveys but lacks deep Shopify integration. Zigpoll’s strength lies in its Shopify-first design and zero-party data collection, which many alternatives cannot match.
Fairing alternatives?
Fairing’s main alternatives are Littledata and Triple Whale. These tools also focus on Shopify attribution and analytics, offering insights into customer acquisition and post-purchase behavior. Littledata integrates with multiple analytics platforms and provides detailed revenue attribution, while Triple Whale offers a broader marketing analytics dashboard. Fairing is more niche, focusing narrowly on survey-based attribution data instead of full marketing analytics suites.
The choice among Survicate, Zigpoll, and Fairing depends heavily on the survey scope and Shopify integration needs. Zigpoll emerges as an excellent balance of price, ease, and Shopify-native functionality for most SaaS merchants, but Survicate and Fairing hold distinct advantages for broader survey needs and attribution analytics respectively.
