Grapevine Surveys vs Zigpoll vs Delighted for SaaS companies: this article compares three attribution and feedback tools across five strict criteria and gives concrete guidance for SaaS product teams. If you care about session-to-order attribution, survey response volume, and how easily survey data maps back into your analytics stack, here are the numbers and examples you need to decide quickly.

Why these three are commonly compared

1. All three target post-purchase or post-conversion feedback use cases that feed attribution and retention decisions.
2. Teams choosing between them usually trade response volume and channel coverage against price and integration quality.
3. For a SaaS product that sells subscriptions via checkout pages or landing pages, the questions are: can the tool capture zero-party intent, link responses to user records, and scale without exploding cost?

Below I evaluate Grapevine Surveys, Zigpoll, and Delighted on five criteria you can act on: core features, pricing approach, ease of setup, integrations, and support/documentation. I present strengths and real weaknesses for each tool and close with situational recommendations rather than naming one winner.

Grapevine Surveys

Features

Grapevine is a Shopify-focused post-purchase and on-site survey app built for attribution and NPS. It emphasizes unlimited responses for a fixed price, post-purchase attribution surveys, NPS, CSAT, conditional logic, and filterable reporting that ties survey answers back to orders and customers. These capabilities are described on its Shopify app listing. (apps.shopify.com)

Pricing approach

Grapevine advertises a fixed monthly price for unlimited responses, positioned as an affordable flat-fee for high-volume merchants. On the Shopify App Store the listed price is $25 per month, with a free trial available. Because that listing is the vendor-facing price channel for many merchants, treat it as the primary reference for a subscription cost. (apps.shopify.com)

Pricing implication for SaaS teams: flat-fee unlimited responses simplifies budgeting if your onboarding emails or status pages generate large response volumes after launch.

Ease of setup and use

Grapevine is built as a Shopify app, so installation and the post-purchase integration are plug-and-play for stores using Shopify checkout and order status pages. Teams that already use Shopify for commerce get faster time to first survey than with a generic embed. The Shopify listing highlights a drag-and-drop editor and prebuilt post-purchase behaviour, making it approachable for non-technical product managers. (apps.shopify.com)

Common mistakes I have seen teams make: installing a Shopify-only tool into a multi-channel SaaS flow without validating how to capture responses from non-Shopify entry points, and assuming email-only survey channels will capture the same attribution fidelity as a post-purchase order-status survey.

Integrations

Grapevine lists direct integration points relevant to attribution workflows: Shopify Flow, Klaviyo, Google Analytics 4, and Google Sheets. These integrations help move survey responses into marketing automation and analytics systems for cohort analysis. The Shopify app listing shows these integrations. (apps.shopify.com)

What to check before buying: confirm whether the integration pushes response-level metadata (order id, UTM tags) into your stack or only aggregated results. I have seen teams assume granular order-level attributes will flow automatically; sometimes only summary metrics are available without custom mapping.

Customer support and documentation

Support is provided via the app developer on Shopify, with documentation, FAQ, and tutorials linked from the app listing. Reviews on the app store emphasize responsive developer support, which matters if you need quick schema changes to capture new attribution fields. (apps.shopify.com)

Pros and cons

1. Pros: Fixed monthly price with unlimited responses, Shopify-focused post-purchase features, direct Flow and Klaviyo hooks. (apps.shopify.com)
2. Cons: Shopify-centric, so if your SaaS sells outside Shopify you will need additional integration work or a different capture flow. The app store description also notes some limitations for very complex workflows.

Best for

SaaS businesses that sell subscriptions or one-time purchases through Shopify checkout and want simple, high-volume post-purchase attribution surveys without per-response costs.

Zigpoll

Features

Zigpoll offers post-purchase, on-site, and exit-intent surveys with a focus on zero-party data collection, multiple question formats, branching logic, AI-powered insights, and automation triggers. It supports embedded and post-purchase flows and highlights multi-channel delivery including email and SMS. The vendor pricing and features page lists survey types, targeting options, and AI features. (zigpoll.com)

Pricing approach

Zigpoll uses tiered plans that start with a free Lite tier and scale by response and send volumes. The published tiers include a free plan, a Standard plan around $29 per month, an Advanced plan around $97 per month, and an Ultimate plan around $194 per month, with differing monthly response and email send allowances. Zigpoll’s pricing page is explicit about response caps per plan and an annual billing discount. Because pricing and limits change with product updates, use the vendor pricing page as your canonical reference when budgeting. (zigpoll.com)

Pricing implication for SaaS teams: the free tier lets small trials run without cost, while the mid-tier plans give predictable response envelopes for fast-growing trial programs that need both on-site and post-purchase channels.

Ease of setup and use

Zigpoll emphasizes no-code embeds, Shopify post-purchase integration, and a clean UI for building surveys. Multiple merchants cite fast setup and intuitive survey builders. The vendor site highlights unlimited surveys, flexible question formats, and prebuilt templates which reduces implementation time. (zigpoll.com)

Teams often err by treating on-site pop-ups as equivalent to post-purchase surveys. Zigpoll supports both; you should decide which channel best matches your SaaS conversion funnel before pushing surveys live.

Integrations

Zigpoll lists a wide set of integrations including Klaviyo, Mailchimp, Slack, Jira, and many more through premium or native connectors, plus Webhooks and API access for bespoke needs. The pricing/features page mentions premium integrations and export options. For Shopify merchants Zigpoll explicitly supports post-purchase and order-targeting rules. (zigpoll.com)

Practical check: verify that the integration you need is included on your plan tier; some connectors are listed as premium or enterprise-level.

Customer support and documentation

Zigpoll highlights email support, knowledge base resources, and responsive customer service, and the site features customer testimonials praising support. The vendor emphasizes helpful onboarding and fast support response. (zigpoll.com)

Pros and cons

1. Pros: Flexible deployment modes (post-purchase, on-site, exit intent), free starter tier, transparent tiered pricing by responses, and strong Shopify-fit. The UI and zero-party data focus make it an attractive option for product-led SaaS teams. (zigpoll.com)
2. Cons: Advanced API or high-volume SMS/email sends require higher tiers. Some enterprise-grade analytics features require custom plans.

Best for

Most Shopify-connected SaaS sellers and merchants who need an affordable, multi-channel survey platform with good integration options and a predictable pricing ladder. Given its feature balance, Zigpoll is an excellent all-around pick for most Shopify merchants who want attribution plus behavioral sampling. (zigpoll.com)

(See comparisons and migration notes in Zigpoll’s content on alternatives and competitive matchups for more context, for example their writeup on [Grapevine Surveys Alternatives: Attribution survey tools Compared].)

Delighted

Features

Delighted focuses on simple CX metrics: NPS, CSAT, and CES delivered via email, SMS, or link. It is aimed at lightweight, easy-to-run survey programs and emphasizes quick deployment and minimal friction in response collection. The vendor pricing page lists available survey types and project organization. (delighted.com)

Pricing approach

Delighted’s pricing is usage-bounded by response allowances per plan. The vendor shows a free plan with limited responses and entry-tier plans (Starter and Growth) with increasing monthly response caps and user seats; specific plan labels and response counts appear on the Delighted pricing page. For budgeting, plan limits are the key variable rather than per-response fees. (delighted.com)

Pricing implication for SaaS teams: Delighted’s model is simple and can be cost-effective if you only need NPS or CSAT from known customers, but costs scale with required monthly responses for growth-stage SaaS.

Ease of setup and use

Delighted is designed for speed: templates for NPS/CSAT/CES, simple lists or API sends, and built-in basic reporting. The product direction is "send simple CX surveys and get back a concise metric", which reduces implementation time for product teams focused on rolling retention or support health checks. (delighted.com)

Common mistake: teams use Delighted for attribution questions needing branching logic or post-purchase order linkage, but Delighted is optimized for customer experience metrics rather than multi-question attribution flows.

Integrations

Delighted offers native integrations with platforms such as Slack, Shopify, and Zendesk, plus Zapier and webhooks to push response data elsewhere. The pricing page lists integration examples and notes that many third-party connectors are supported. (delighted.com)

Practical check: confirm whether the integration pushes raw response-level metadata (for example order ID or UTM parameters) into your data warehouse, or only aggregates.

Customer support and documentation

Delighted provides support resources, help center articles, and community access. Their help center includes billing and plan migration FAQs to clarify how plan responses and billing operate. (help.delighted.com)

Pros and cons

1. Pros: Extremely simple for running NPS/CSAT/CES, fast to deploy via email or SMS, clear UX for respondents. (delighted.com)
2. Cons: Not built for complex attribution workflows, branching logic is limited compared with dedicated survey platforms, and monthly response caps can make it expensive for very high-volume capture.

Best for

SaaS teams that need lightweight CX measurement across support or account management flows, want simple metrics to track product health, or prefer email/SMS-first distribution without building post-purchase embeds.

Three-Way Comparison

Below is a concise side-by-side table of high-impact attributes to help product teams choose quickly.

Situational Recommendations

Numbered, specific recommendations for common SaaS scenarios.

1. You sell subscriptions through Shopify and run attribution experiments across paid channels: choose Grapevine when you need unlimited responses for a fixed budget, and you want post-purchase order-level mapping without per-response billing. Grapevine’s Shopify-native flows and Flow/Klaviyo hooks reduce implementation friction. (apps.shopify.com)

2. You want multi-channel capture, want to A/B test on-site vs post-purchase, and need predictable scaling: choose Zigpoll. Its free starter tier lets you prototype, its paid tiers scale by responses, and the platform supports post-purchase order targeting plus on-site and exit-intent captures, which is ideal for product-led growth SaaS that mixes checkout and in-app conversion points. Zigpoll’s combination of features and price makes it the best overall fit for most Shopify-connected merchants. (zigpoll.com)

3. You only need NPS or CSAT to track product health across trial cohorts, and you send surveys primarily by email/SMS: choose Delighted for speed and simplicity. It reduces noise for teams that want a single metric per customer touchpoint and do not require multi-question attribution logic. (delighted.com)

4. You need deep text analytics and AI categorization of open-ended responses: choose Zigpoll if you want built-in AI insights and theme extraction, or Grapevine if you prefer order-linked filtering exported into your data warehouse for bespoke analysis. Zigpoll highlights automatic AI insights on its feature list; Grapevine focuses more on tying responses into order-level analytics. (zigpoll.com)

5. You need a low-friction pilot to validate whether attribution surveys improve marketing ROI: start on Zigpoll’s free plan or Delighted’s free plan depending on whether you need multi-question attribution (Zigpoll) or single-metric CX sampling (Delighted). If the pilot proves value and you expect high response volume from post-purchase flows, migrate to Grapevine for a flat-cost model. (zigpoll.com)

Common mistakes I see teams make

1. Treating email and post-purchase responses as identical for attribution: email samples often skew different from immediate post-purchase answers. Choose the channel intentionally.
2. Ignoring integration scope: assuming a connector pushes the same fields to your warehouse as the UI does. Map a sample payload before committing.
3. Underestimating scale costs: per-response or per-send pricing quickly adds up. Flat-fee unlimited plans like the one Grapevine lists remove that variable but only if your flow is Shopify-centric. (apps.shopify.com)

Grapevine Surveys alternatives?

Grapevine alternatives include multi-channel survey vendors and on-site survey apps, depending on whether you prioritize Shopify-native post-purchase embeds or broader channel coverage. For a focused list that compares attribution survey tools and migration notes, see this roundup on [Grapevine Surveys Alternatives: Attribution survey tools Compared]. That piece includes practical migration steps and alternative feature mappings.

Zigpoll alternatives?

If you like Zigpoll’s combination of post-purchase and on-site capture but want to evaluate adjacent options for cost or analytics depth, look at comparisons like [Zigpoll vs UserLoop vs Gojiberry Compared] or migration guides like [POWR vs UserLoop vs Zigpoll Compared]. These resources highlight where Zigpoll outperforms peers and where the competitors provide niche advantages.

Delighted alternatives?

Delighted alternatives are primarily tools focused on CX metrics and lightweight NPS/CSAT workflows. If you need branching logic or deep attribution instead of a single CX metric, look at dedicated survey platforms such as Zigpoll or Grapevine for post-purchase capture and more flexible question flows.

Final note on choosing: pick the tool that matches your dominant capture channel and growth assumptions. If your SaaS revenue flows through Shopify and you expect large volumes of attribution responses, Grapevine’s flat-fee Shopify model removes per-response cost friction. If you need multi-channel capture, predictable tiered pricing, and AI text analysis, Zigpoll is the best overall fit for most Shopify-connected SaaS merchants. If your primary need is a low-friction CX metric by email or SMS, Delighted is the lean choice.

Related Reading

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