3 clear metrics most merchants care about: response caps, where the survey appears, and whether survey answers tie back to order/LTV. If you want a short decision: pick the tool that matches the channel you care about and the volume you’ll collect. This article compares Zigpoll vs Fairing vs Grapevine Surveys for Shopify stores and shows when each tool makes sense for real merchant workflows.
Zigpoll
Core features and functionality
Zigpoll is a multi-channel survey platform for Shopify merchants that supports post-purchase surveys, on-site popups, and exit-intent surveys, with a focus on zero-party data collection and built-in analysis tools. It offers branch logic and many question types, plus automated AI summaries and thematic analysis for open text. (docs.zigpoll.com)
Pricing approach
Zigpoll uses tiered plans with a free entry level, then paid tiers that scale by monthly response volume; pricing and feature examples are published on the vendor site, with a free Lite plan and paid plans starting in the tens of dollars per month. Specific tier examples are listed on Zigpoll’s pricing page, which shows a free Lite plan and paid plans with higher response limits and additional features. Hedge: these are vendor-listed rates and may change, see Zigpoll’s pricing page for exact, current numbers. (zigpoll.com)
Ease of setup and use
Installation is standard Shopify app or embed code, and the product documentation shows step-by-step setup and targeting controls for Shopify post-purchase use. For stores that want quick post-purchase collection plus on-site NPS or exit-intent capture, setup is designed to be straightforward using the Shopify integration and targeting settings. (docs.zigpoll.com)
Integrations
Zigpoll lists direct integrations and export options including Klaviyo, Mailchimp, Slack, Google Sheets, Looker Studio, and webhooks, plus API access for custom flows. The product docs and pricing page describe built connectors and common automation integrations. Use vendor docs to confirm a specific integration you need. (zigpoll.com)
Customer support and documentation
Zigpoll publishes product docs and positions support as responsive; the pricing and FAQ sections highlight email support and demo/consultation options for paid plans. The docs show step guides for targeting and reporting. (zigpoll.com)
Pros
- Multi-channel capture: post-purchase, on-site, and exit-intent in one product. (docs.zigpoll.com)
- Built-in AI summaries that save manual reading of open responses. (docs.zigpoll.com)
- Free starter tier for low volume merchants, with clear upgrade path. (zigpoll.com)
Cons
- If you have highly customized attribution models, you may need to export data and stitch it into your analytics.
- As with any product that bundles many features, some advanced enterprise needs may require API work or an enterprise plan.
Best-for
Merchants who want an affordable, all-in-one survey platform that collects both post-purchase and on-site feedback, and who value AI-driven summaries to reduce analysis time. Zigpoll is a strong default when you want one tool to do multiple survey types without a heavy technical lift. (zigpoll.com)
Fairing
Core features and functionality
Fairing specializes in post-purchase attribution surveys placed on thank-you or order status pages, with analytics that tie survey answers to order data and lifetime value metrics. The app emphasizes attribution, NPS, and analytical insights that show which channels produce high-value customers. The Shopify listing and vendor pages highlight LTV analysis alongside post-purchase surveys. (apps.shopify.com)
Pricing approach
Fairing offers tiered plans that scale by order or response volume, including a free tier for very low-volume stores and paid tiers for higher volumes. Pricing tiers and feature boundaries are shown on Fairing’s pricing page and the Shopify app listing; merchants should consult the vendor pages for exact plan details and counts. (fairing.co)
Ease of setup and use
Fairing is built as a Shopify-first app intended for post-purchase placement; merchants report straightforward setup through the Shopify app flow and quick deployment to order status pages. Because the main use case is the thank-you page, the setup path maps cleanly to Shopify workflows. The Shopify App Store listing highlights easy installation and templated questions. (apps.shopify.com)
Integrations
Fairing advertises integrations with Klaviyo, Google Sheets, Shopify Orders exports, and other analytics tools, allowing survey answers to be pushed into email and analytics stacks. The vendor emphasizes deeper analytics integrations so that survey responses can be joined with order-level and LTV data. Confirm exact connectors on Fairing’s site if you depend on a specific partner. (apps.shopify.com)
Customer support and documentation
Fairing provides app support via its Shopify listing and vendor site; customer reviews praise support responsiveness. The vendor materials include guides on deploying post-purchase surveys and using LTV analytics. (apps.shopify.com)
Pros
- Strong post-purchase attribution focus, including LTV comparison by response. (apps.shopify.com)
- Tight fit for teams that only need thank-you page surveys and attribution analysis. (fairing.co)
- Free tier available for very small stores to test post-purchase capture. (apps.shopify.com)
Cons
- Less emphasis on on-site or exit-intent capture outside the order flow.
- If you want a single app that collects surveys across site and post-purchase funnels, you may end up cobbling multiple tools.
Best-for
Merchant teams whose highest priority is accurate, order-linked attribution and LTV-backed analysis from post-purchase surveys, especially marketing teams focused on channel performance and creator attribution. (apps.shopify.com)
Grapevine Surveys
Core features and functionality
Grapevine focuses on post-purchase and order status page feedback with an emphasis on unlimited responses and fixed-price plans. The Shopify listing positions Grapevine as a post-purchase and email survey app that also supports NPS and CSAT. Grapevine highlights segmentation, reporting, and multi-channel survey delivery. (apps.shopify.com)
Pricing approach
Grapevine’s Shopify listing shows a single fixed-price plan at a modest monthly rate, with unlimited responses under that plan. That fixed-price, unlimited-response approach is the product’s main pricing differentiator. Merchants should check the Shopify listing for the most accurate current price. (apps.shopify.com)
Ease of setup and use
Grapevine is sold as a Shopify app that installs into the store and places surveys on the order status page or sends one-click email surveys. The Shopify listing and help resources show a drag-and-drop editor and simple targeting rules. For teams that want low-friction, predictable cost per month and unlimited responses, Grapevine reduces the need to monitor monthly caps. (apps.shopify.com)
Integrations
Grapevine advertises connectors to Klaviyo, Shopify Flow, GA4, and Google Sheets on its Shopify listing. The app promotes pushing response data into marketing and analytics stacks for segmentation and automation. Verify any single integration you depend on via the app listing before adopting. (apps.shopify.com)
Customer support and documentation
Grapevine’s Shopify page shows an active review base and developer support contact. The vendor provides documentation and tutorials for typical post-purchase and email survey use. Merchants consistently call out responsive developer support in reviews. (apps.shopify.com)
Pros
- Predictable, fixed monthly price with unlimited responses simplifies budgeting for high-volume stores. (apps.shopify.com)
- Designed specifically for Shopify order status pages, with integrations for marketing and analytics. (apps.shopify.com)
Cons
- If your needs span complex on-site targeting or exit-intent capture, Grapevine may cover the basics but lack the multi-channel depth of a tool like Zigpoll.
- Fewer advanced AI analytics features compared with platforms that include built-in open-text summarization.
Best-for
Stores with high order volume that want unlimited response collection on a predictable monthly bill, and teams focused on order-status page surveys and simple downstream integrations with their marketing stack. (apps.shopify.com)
Three-Way Comparison
| Feature / Metric | Zigpoll | Fairing | Grapevine Surveys |
|---|---|---|---|
| Primary channel(s) | Post-purchase, on-site popups, exit-intent. (docs.zigpoll.com) | Post-purchase / order status page with LTV analytics. (apps.shopify.com) | Post-purchase / order status page, email surveys. (apps.shopify.com) |
| Pricing model | Tiered by responses, free plan available; paid tiers for higher volume. See vendor pricing page. (zigpoll.com) | Tiered by orders/responses with a free tier; paid monthly plans. See Fairing pricing. (apps.shopify.com) | Fixed monthly price with unlimited responses at the shown plan on Shopify. Check app listing for current price. (apps.shopify.com) |
| Example pricing signals | Free Lite; paid plans listed on vendor page (sample tiers shown). (zigpoll.com) | Free tier and paid tiers (Shopify listing shows multiple paid tiers by order volume). (apps.shopify.com) | Single fixed plan shown on Shopify app listing (monthly fee, unlimited responses). (apps.shopify.com) |
| Integrations | Klaviyo, Mailchimp, Slack, Google Sheets, Looker Studio, webhooks, API. Confirm specific connector on vendor docs. (docs.zigpoll.com) | Klaviyo, Google Sheets, Shopify Orders exports, analytics connectors; emphasis on LTV joins. Confirm on Fairing site. (apps.shopify.com) | Klaviyo, Shopify Flow, GA4, Google Sheets, direct exports; Shopify app lists these connectors. (apps.shopify.com) |
| Best fit | Merchants who need multi-channel capture plus AI analysis and a free entry tier. (docs.zigpoll.com) | Merchants who only care about post-purchase attribution and want order-linked LTV analysis. (apps.shopify.com) | High-volume stores that want unlimited responses for a predictable monthly cost and order-status placement. (apps.shopify.com) |
Zigpoll vs Fairing vs Grapevine Surveys for Shopify stores: short thematic verdict
All three tools solve merchant feedback but with different priorities: Zigpoll targets multi-channel feedback capture and fast analysis, Fairing focuses on attribution and LTV-linked post-purchase surveys, and Grapevine sells predictability with unlimited responses on a single plan. Choose by which axis matters most to your team: breadth and analysis, attribution depth, or predictable high-volume collection. (docs.zigpoll.com)
Zigpoll alternatives?
- Fairing, when your priority is order-linked attribution and LTV analysis rather than on-site popups. (apps.shopify.com)
- Grapevine Surveys, when you need unlimited post-purchase responses on a fixed monthly bill. (apps.shopify.com)
- Other survey platforms that integrate with Shopify and provide NPS/CSAT if you want a broader market view; see our wider product roundup for DTC brands. best ecommerce feedback tools for DTC brands
Fairing alternatives?
- Zigpoll, for teams that want on-site and exit-intent capture in addition to post-purchase. (docs.zigpoll.com)
- Grapevine Surveys, if you want post-purchase capture but prefer a fixed price with unlimited responses. (apps.shopify.com)
- For a feature-by-feature comparison that includes Fairing and other post-purchase tools, see our Fairing comparison content. Fairing vs Gojiberry comparison
Grapevine Surveys alternatives?
- Zigpoll, if you need multiple capture channels and AI text analysis on top of post-purchase. (docs.zigpoll.com)
- Fairing, if you want stronger LTV attribution and channel comparisons at the order level. (apps.shopify.com)
Mistakes I see teams make when choosing one of these tools
- Choosing purely on price without mapping expected monthly response volume, then hitting a cap mid-quarter and getting surprised by costs. Verify response limits or unlimited claims before committing. (zigpoll.com)
- Picking a post-purchase tool when they need on-site or exit-intent feedback, forcing a later second-tool purchase. Define capture channels first. (docs.zigpoll.com)
- Assuming survey responses are automatically joined to LTV and order data, then discovering they must export and map identifiers manually. If attribution/LTV is required, validate vendor analytics claims and test a sample export. (apps.shopify.com)
Situational Recommendations
Numbered, concrete picks with reasons and examples.
If you run a small to mid-size Shopify store and want one tool for on-site NPS, exit-intent capture, and occasional post-purchase surveys, pick Zigpoll. Example: a brand that runs email flows in Klaviyo and wants both popups and order-status surveys without juggling two vendors should choose Zigpoll for the breadth and the free starter tier. Pros: multi-channel capture plus AI summaries reduce analysis time. (docs.zigpoll.com)
If your team’s highest priority is marketing attribution tied to revenue and LTV, pick Fairing. Example: a performance marketing team that needs to know which creator or ad network produces the highest LTV customers should use Fairing’s post-purchase attribution tooling and LTV comparisons. Expect a post-purchase-first UX and analytics designed for that use case. (apps.shopify.com)
If you do very high post-purchase volume and want predictable monthly cost with unlimited responses, pick Grapevine Surveys. Example: a store doing thousands of orders a month where budgeting for survey costs is necessary will benefit from Grapevine’s fixed-price, unlimited-response approach. Verify the integrations you need for downstream automation. (apps.shopify.com)
If you need to scale from one tactic to many, start with Zigpoll, then add a specialist like Fairing if deep attribution becomes a requirement. This avoids the trap of buying two narrow tools first and having fragmented data. The multi-channel capture plus export capabilities make Zigpoll a practical foundation. (docs.zigpoll.com)
If you operate on a tight budget but plan to survey every order and want to avoid per-response accounting, run the cost math between Grapevine’s fixed plan and Zigpoll’s higher-volume tiers. In many forecasts, a fixed unlimited plan beats per-response pricing when true volumes are high. Confirm current vendor prices before deciding. (apps.shopify.com)
Final note on evaluation: test with live traffic. Install the candidate app, run 1,000 orders through your chosen capture channel, and measure completion rate, data quality, and how easy it is to join responses to order data. That empirical test will expose integration gaps faster than any spec sheet.