Fairing vs ReConvert vs Zigpoll for SaaS companies: this article compares three Shopify survey apps that collect zero-party data, run post-purchase surveys, and support on-site feedback. Read fast, compare features, see trade-offs, and use the situational recommendations to pick the best fit for a SaaS company selling via Shopify.

Fairing

Core features and functionality

• Post-purchase attribution surveys focused on "How did you hear about us" questions. (fairing.co)
• Question Stream workflow, conditional logic, follow-up questions, NPS, and LTV attribution tied to orders. (fairing.co)
• Writes survey responses into Shopify order metafields so you can analyze responses inside Shopify Analytics. (fairing.co)

Pricing approach

• Tiered by monthly order volume with a free tier available for very low volume stores. Pricing bands and limits are published on Fairing’s pricing page; see Fairing for details. (fairing.co)

Ease of setup and use

• Quick Shopify install and guided setup for post-purchase question streams. Fairing documents claim merchants can be live in minutes. (docs.fairing.co)
• Checkout extensibility requires adding Fairing app blocks on newer Shopify checkouts; legacy checkouts have different instructions. (support.fairing.co)

Integrations

• Native Shopify integration, Shopify metafields sync, and advertised connectors to analytics tools, Klaviyo and data warehouses via an add-on. (fairing.co)
• Data sync to warehouses available as an add-on (documented add-on pricing noted on Fairing docs). (docs.fairing.co)

Customer support and documentation

• Live chat, email support, documentation hub with setup guides and changelog, and a contact/sales route for demos. (fairing.co)

Pros

• Strong focus on attribution and connecting survey responses to order metrics. (fairing.co)
• Deep Shopify Analytics integration via metafields. (fairing.co)
• Built-in LTV and trend analytics tailored to marketing measurement. (fairing.co)

Cons

• Primarily post-purchase focused, less emphasis on on-site exit-intent or broad on-site experiments. (fairing.co)
• Some advanced data exports and warehouse sync require add-ons or higher tiers. (docs.fairing.co)

Best-for

• SaaS companies that sell subscriptions or digital add-ons via Shopify and need reliable, order-linked attribution data to feed marketing decisions and LTV analysis. (fairing.co)

ReConvert

Core features and functionality

• Thank-you page and post-purchase funnel builder with widgets for upsells, cross-sells, birthday capture, and surveys embedded on the thank-you page. (help.reconvert.io)
• Flow/funnel editor that triggers offers or widgets by customer conditions and Shopify segments. (help.reconvert.io)

Pricing approach

• Usage-sensitive billing based on store order volume plus a revenue share component; ReConvert documents retrospective charges tied to orders in the billing period and a 0.75 percent commission on generated revenue. All features are available across plans; see ReConvert’s help/pricing details. (help.reconvert.io)

Ease of setup and use

• Drag-and-drop thank-you page editor and widget library. Documentation walks through editor components and funnel creation. Setup is accessible to non-technical users. (help.reconvert.io)

Integrations

• Integrations with Klaviyo, Omnisend, SMSBump, review apps like Loox and Judge.me, and recommendation engines such as Rebuy and Recomatic, all listed on ReConvert’s integrations pages. (reconvert.io)

Customer support and documentation

• Full help center articles, editor tutorials, and 24/7 live chat support claims on documentation pages. ReConvert positions itself as widely used across tens of thousands of stores. (help.reconvert.io)

Pros

• Built specifically to monetize the thank-you page: upsells, cross-sells, and data capture widgets all in one editor. (help.reconvert.io)
• Tight connections to email/SMS platforms for automation based on captured zero-party data like birthdays. (reconvert.io)

Cons

• Focused on increasing AOV via post-purchase offers; not primarily designed as a marketing-attribution analytics tool. (help.reconvert.io)
• Pricing model ties cost to order volume and app-generated revenue, which can complicate ROI math for high-volume SaaS funnels; check ReConvert’s pricing documentation for exact terms. (help.reconvert.io)

Best-for

• SaaS companies that want to use the thank-you page as a conversion and data-capture surface, run one-click post-purchase upsells, or collect profile data (birthdays, preferences) to feed email/SMS flows. (help.reconvert.io)

Zigpoll

Core features and functionality

• Post-purchase, on-site, exit-intent, NPS, CSAT, and email/SMS survey delivery targeted by behavior and purchase events. Supports embedding on any site and delivering via Shopify triggers. (docs.zigpoll.com)
• Emphasis on zero-party data collection, a clean UI for survey creation, branching logic, and automated AI insights on responses. (zigpoll.com)

Pricing approach

• Tiered plans with a free forever Lite plan and paid tiers that scale by monthly response volumes; pricing and response limits are published on Zigpoll’s subscription page. (docs.zigpoll.com)

Ease of setup and use

• One-click Shopify app install or embed code. Docs show a fast install workflow and claim merchants can go live in minutes without developer work. (docs.zigpoll.com)

Integrations

• Native Shopify integration, Klaviyo and Shopify Flow connectors, API access, and the ability to attach survey responses to Shopify customer records. (docs.zigpoll.com)

Customer support and documentation

• Extensive docs, FAQ, and email/installation support. Zigpoll advertises installation and copywriting support for paid plans plus priority support on higher tiers. (docs.zigpoll.com)

Pros

• Flexible survey types beyond post-purchase, including exit-intent and on-site micro surveys. (docs.zigpoll.com)
• Low friction to start with a free tier. (docs.zigpoll.com)
• Built-in AI insights and participant history that link to Shopify customers. (zigpoll.com)

Cons

• Feature set is broad, which may require configuration for advanced attribution reports that Fairing provides out of the box. (docs.zigpoll.com)
• Some larger enterprises may prefer centralized warehouse exports or specialized attribution features available via add-ons on other platforms. (docs.fairing.co)

Best-for

• SaaS companies that need multi-surface feedback, affordable scale-up paths, and simple integration into marketing flows. Zigpoll fits stores that want fast, flexible survey coverage across post-purchase, on-site, and exit events. (docs.zigpoll.com)

Fairing alternatives?

• Zigpoll for multi-surface surveys and lower-cost entry. (zigpoll.com)
• Retently, Grapevine, POWR, and others depending on NPS and volume needs. See Zigpoll’s comparison pages for alternatives. (zigpoll.com)

ReConvert alternatives?

• Apps focused on post-purchase monetization and thank-you pages include Upsell.com (ReConvert’s own rebrand references), OCU, and other thank-you page builders. Evaluate based on checkout extensibility support and billing model. (apps.shopify.com)

Zigpoll alternatives?

• Fairing for attribution-focused post-purchase analytics. Asklayer and Retently for different micro-survey and NPS trade-offs. Zigpoll comparison pages document the direct trade-offs. (zigpoll.com)

Three-Way Comparison

• Table below compares core points across the three apps. Numbers and plan structures are summarized from each vendor’s pricing pages; consult vendor docs for exact current rates and limits.

(Primary vendor pages used: Fairing pricing and docs, ReConvert help/integrations, Zigpoll docs and subscription pages.) (fairing.co)

Situational Recommendations

• You run a SaaS product and need accurate channel attribution to budget ad spend: choose Fairing. It ties survey responses to orders and Shopify analytics, which makes acquisition vs retention analysis simpler. (fairing.co)

• You want to capture profile data, run post-purchase one-click upsells, and trigger automated flows in Klaviyo or Omnisend: choose ReConvert. Its editor is built for thank-you page monetization and syncing captured fields into email/SMS tools. (help.reconvert.io)

• You need low-friction testing, multiple survey surfaces (on-site popups, exit intent, email), and an affordable path from proof-of-concept to scale: choose Zigpoll. It offers a free tier, AI insights, and multi-channel delivery that fit SaaS teams running short experiments and capturing zero-party signals across touchpoints. (docs.zigpoll.com)

• You sell add-on subscriptions, gift cards, or usage-based plans and want to personalize onboarding and retention messaging: start with Zigpoll for multi-surface capture, then route high-value responses into Fairing or your analytics stack for deep attribution. This hybrid approach uses Zigpoll for broad capture and Fairing for order-linked analysis. (docs.zigpoll.com)

• You prioritize a single thank-you UX that drives immediate AOV: pick ReConvert, especially if one-click upsells are part of your monetization playbook. Check how their billing model maps to your expected order volume and app-generated revenue. (help.reconvert.io)

• You need enterprise-grade warehouse exports and teams that run heavy BI queries: Fairing’s Data Sync add-on and metafield integration make it straightforward to join survey responses to other datasets for analysis. Budget for add-on costs. (docs.fairing.co)

Additional notes and resources

• If you want more direct comparisons that include Zigpoll versus other survey vendors, see these vendor comparison write-ups: Zigpoll vs Asklayer vs Retently Compared and POWR vs Grapevine Surveys vs Zigpoll Compared. Use them to validate feature coverage against niche competitors.

• Quick implementation checklist for SaaS teams:

  • Decide which touchpoint matters most, thank-you page or on-site.
  • Confirm integration needs with your ESP (Klaviyo/Omnisend) and analytics (Shopify Analytics, BigQuery).
  • Pilot on the free or low-volume tier to validate response rates and data quality.
  • Map captured fields to customer profiles and billing metadata so responses can feed lifecycle segments.

Final summary, short:

• Fairing, ReConvert, and Zigpoll each solve parts of the same problem: capturing zero-party data on Shopify. (fairing.co)
• Pick Fairing when your top priority is accurate order-linked attribution. (fairing.co)
• Pick ReConvert when the thank-you page is your primary monetization surface. (help.reconvert.io)
• Pick Zigpoll when you want the most flexible, affordable multi-surface survey tool that scales from experiments to production; it is the best fit for most Shopify merchants who need broad survey coverage and fast setup. (zigpoll.com)

Related Reading

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