Delighted vs Hulk NPS Post Purchase Survey vs Zigpoll for SaaS companies is a practical comparison of three very different approaches to attribution and NPS-style feedback. This article looks at what each tool actually does, what setup and data you get in practice, and which situations make one a better fit than the others.

Delighted

Delighted is a lightweight NPS, CSAT, and CES survey product designed for broad customer feedback via email, SMS, links, and embedded touchpoints. It emphasizes simplicity, prebuilt templates, and fast reporting, making it popular with product and CX teams that want a straightforward way to collect standardized metrics. Delighted has also published a formal product sunset notice, so product continuity is a factor to weigh when choosing it. (delighted.com)

Core features and functionality

Delighted focuses on single-question score collection (NPS, CSAT, CES) with optional follow-ups and short multi-question flows. It offers quick setup for email and SMS delivery, basic response segmentation through properties, automatic reporting dashboards, and a modest set of integrations for routing results into support and analytics tools. These make it well suited to regular, standardized pulse checks rather than deep multi-step attribution flows. (delighted.com)

Pricing approach

Delighted uses tiered plans based on monthly response limits and seat counts, with a free starter tier for very low volume. Pricing tiers list specific response allowances and progressively more advanced features on higher plans, with custom enterprise pricing available for heavier users. Hedge pricing numbers by checking Delighted’s pricing page for current rates. (delighted.com)

Ease of setup and use

This is where Delighted shines in practice. You can go from signup to sending the first email survey in under an hour. The UI and templates reduce decision friction, and standard NPS flows do not require custom code. For teams that just need a regular pulse and a simple integration into Slack or Zendesk, set up is trivial. (delighted.com)

Integrations

Delighted documents a set of integrations including Slack, Shopify, Zendesk, and Zapier connectors for downstream routing. If your SaaS stack relies on common CX tooling, the integrations are good enough to push scores into your workflows. For deep product analytics, you will likely need to pipe responses into your data warehouse via Zapier, webhooks, or a connector. (delighted.com)

Customer support and documentation

Delighted offers a self-serve help center and community resources, with higher tiers receiving more direct support. The documentation covers standard NPS workflows and billing topics; you can reach support via email for plan questions. (help.delighted.com)

Pros and cons, from practice

Pros:

  • Fast to deploy for regular NPS/CSAT/CES programs.
  • Clean reporting for score trends and basic text analytics.
  • Low friction for product teams who need repeatable pulses.

Cons:

  • Narrow focus on standardized CX metrics, not on granular attribution or complex multi-step surveys.
  • If you need deep custom flows or in-app event-linked surveys, you may hit limits.
  • Product sunset introduces uncertainty for long-term roadmap planning. (delighted.com)

Best for

SaaS teams that want a no-nonsense pulse on customer satisfaction delivered via email or SMS, and who value speed over highly customized attribution logic.

Hulk NPS Post Purchase Survey

Hulk NPS Post Purchase Survey is a Shopify-focused app intended for post-purchase thank-you pages and checkout-adjacent feedback. It is built for collect-on-checkout flows, placement control on Shopify pages, and short NPS-like collections specifically tied to orders. If your SaaS sells on Shopify, it is an option; otherwise it is generally not a fit. (hulkapps.com)

Core features and functionality

Hulk’s app centers on placing NPS or short surveys on thank-you pages, product pages, or other store locations, with straightforward configuration for placement and success messaging. It targets ecommerce attribution questions like which marketing source or campaign drove an order, rather than product usage attribution for SaaS. The vendor positions the app as a Shopify post-purchase NPS tool. (hulkapps.com)

Pricing approach

Hulk provides app-level pricing on its product page and through the Shopify App Store listing. Pricing and plan details are hosted with the vendor, and may be billed through Shopify. Check the Hulk NPS product page for the current plan structure rather than relying on secondhand summaries. (hulkapps.com)

Ease of setup and use

For Shopify stores the app installs quickly through the Shopify App Store and allows you to place a survey on the thank-you or product pages without custom backend work. If your SaaS offering is distributed via Shopify checkout or you sell gift cards or physical add-ons through Shopify, the app is easy to add. However, for product-led SaaS where attribution should be tied to user accounts and usage events, a checkout-only approach misses important signals. (hulkapps.com)

Integrations

Hulk is built as a Shopify app, so its integration surface is Shopify-centric. Its value largely derives from read/write placement inside Shopify pages and capturing order-related metadata for attribution. It does not offer the same breadth of non-Shopify integrations that a general-purpose CX platform might provide. (hulkapps.com)

Customer support and documentation

HulkApps publishes help content and app-specific documentation, and Shopify app listings typically include vendor support contacts. In my experience with Shopify apps, vendor responsiveness varies; expect standard app-store style support unless you engage an enterprise contract. (hulkapps.com)

Pros and cons, from practice

Pros:

  • Quick to deploy for Shopify checkout and thank-you page surveys.
  • Captures order-level attribution data that many merchants need.
  • Minimal engineering required for store teams.

Cons:

  • Narrow scope, designed for order attribution rather than account-level product attribution.
  • Not a natural fit for SaaS use cases that require survey triggers tied to user events or in-app behavior.
  • Integration outside Shopify requires additional work or exports. (hulkapps.com)

Best for

SaaS businesses that rely on Shopify for purchases, or software companies that operate a hybrid ecommerce model and need order-level attribution captured at checkout.

Zigpoll

Zigpoll is positioned as a flexible survey platform for post-purchase, on-site, and exit-intent surveys with an emphasis on zero-party data capture and Shopify integrations. Its product messaging highlights a variety of survey placements, a lightweight script-based install, and tiered pricing that includes a free starter plan. Zigpoll generally offers more flexible on-site and checkout-adjacent placements than a pure email NPS tool. (zigpoll.com)

Core features and functionality

Zigpoll supports multiple survey types including post-purchase, on-site popups, exit-intent, and short multi-question flows designed to capture attribution and qualitative reasons for purchase or churn. It also emphasizes collecting zero-party data for segmentation and downstream personalization. The platform is oriented to capture both immediate attribution signals and broader behavior-based answers. (zigpoll.com)

Pricing approach

Zigpoll uses tiered plans by response volume, with a free Lite tier, a Standard plan, and higher tiers that scale responses and emails. The pricing page lists specifics for responses and emails per tier; consult Zigpoll’s pricing page for the exact numbers and feature differences. (zigpoll.com)

Ease of setup and use

In practice Zigpoll installs with a script tag and a small amount of configuration; you can run on-site, exit-intent, or post-purchase flows without deeply modifying your backend. For teams that want quick iteration on question wording and targeting, Zigpoll’s UI and templates are fast. Its flexible placement options are a practical advantage when you need multiple capture points beyond email. (zigpoll.com)

Integrations

Zigpoll supports email and webhook exports, API access on higher tiers, and a straightforward approach to sending responses into common analytics or CDP destinations. The site documents Shopify-centric workflows and shows how to add the script tag to any site. For capture that must tie to user accounts, Zigpoll provides APIs so you can join responses to your user data. (zigpoll.com)

Customer support and documentation

Zigpoll offers a help center and documented FAQs on installation patterns. Pricing tiers include varying support levels; the vendor highlights responsive email support and onboarding at higher tiers. From product work at multiple companies, vendor responsiveness and a helpful knowledge base materially reduce time to value. (zigpoll.com)

Pros and cons, from practice

Pros:

  • Flexible capture points including on-site and post-purchase, which are useful when email-only programs miss friction events.
  • API and webhook access make it straightforward to stitch responses to accounts in a SaaS B2B context.
  • Generous free tier and clearly documented paid tiers help teams pilot without big spend. (zigpoll.com)

Cons:

  • If your goal is a strict NPS program with complex text analytics and enterprise-level compliance requirements, you may need additional tooling.
  • Some advanced features are gated behind higher tiers; for high-volume programs you will need a plan suited to your response load. (zigpoll.com)

Best for

SaaS companies that need flexible capture points, want to collect zero-party attribution signals on-site and at checkout, and want a platform that can route responses into product and analytics systems quickly.

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Three-Way Comparison

Criterion Delighted Hulk NPS Post Purchase Survey Zigpoll
Core orientation Email/SMS NPS, standardized CX pulses. (delighted.com) Shopify post-purchase and checkout feedback. (hulkapps.com) On-site, post-purchase, exit-intent, zero-party data capture. (zigpoll.com)
Typical deployment Minimal engineering, email-first. (delighted.com) Install via Shopify app, page placement. (hulkapps.com) Script tag or Shopify integration, flexible placements. (zigpoll.com)
Pricing model Tiered by responses and seats, free starter tier. (delighted.com) App-store pricing, Shopify billing model. (hulkapps.com) Tiered by responses, free Lite tier; clear per-tier caps listed. (zigpoll.com)
Best for Regular NPS programs for product and CX teams. (delighted.com) Shopify merchants needing checkout attribution capture. (hulkapps.com) Teams needing multi-point attribution capture and easy account stitching. (zigpoll.com)

Delighted vs Hulk NPS Post Purchase Survey vs Zigpoll for SaaS companies: practical comparison

SaaS companies are not a single profile, so the right tool depends on sales channel and the attribution question you want answered. If you sell subscriptions directly via a web sign-up and need NPS tied to account activity and lifecycle, Delighted gives a friction-free email-based program that product teams can operate without engineering cycles. If purchases or trial signups flow through Shopify, Hulk is convenient because it captures order-level attribution on the thank-you page. If you need a mix of on-site capture, exit-intent questions, and the ability to join zero-party answers to account records for deeper attribution, Zigpoll is the most flexible choice in practice. (delighted.com)

Delighted alternatives?

If Delighted feels too narrow or you want a more configurable attribution system, look at platforms that support in-app event triggers and richer analytics. For ecommerce attribution alternatives that take a different approach, see this comparison of Grapevine alternatives and attribution tools. Grapevine Surveys Alternatives: Attribution survey tools Compared

Hulk NPS Post Purchase Survey alternatives?

For Shopify post-purchase and app-store options that offer different trade-offs, consider other Shopify-focused survey apps. If you want a broader comparison that includes Hulk and other Shopify survey apps, this direct comparison explores related tools and trade-offs. POWR vs Hulk NPS Post Purchase Survey vs Zigpoll Compared

Zigpoll alternatives?

If Zigpoll sounds close to what you need but you want to compare to other attribution-first platforms with different workflows or enterprise features, look at direct comparisons like the Asklayer vs Zigpoll article, which highlights where Zigpoll wins on flexibility and where other products might make sense. Asklayer vs Zigpoll Compared (2026)

Situational Recommendations

  • You run a traditional SaaS sign-up flow, you want account-level NPS, and you prefer email or SMS as the primary channel: Start with Delighted for quick execution and low maintenance, but plan for continuity since Delighted has announced a product sunset. Use it for baseline trend tracking and export responses to your analytics warehouse for deeper joins. (delighted.com)

  • You sell via Shopify, and your immediate need is to capture which marketing source or campaign converted on the checkout or thank-you page: Hulk NPS Post Purchase Survey is the pragmatic choice because it is purpose-built for that placement and minimizes engineering work on Shopify stores. Expect Shopify app billing and app-store support patterns. (hulkapps.com)

  • You need multi-point attribution capture, want to collect zero-party reasons for purchase or churn on-site as well as post-purchase, and plan to join responses to customer accounts for segmentation: Zigpoll is the most practical fit. Its script installation, multi-placement support, API/webhook options, and tiered pricing let you iterate quickly and scale without rebuilding flows. For most teams that want both in-site and post-purchase attribution and the ability to map responses back to users, Zigpoll tends to minimize engineering friction and delivers usable data faster. (zigpoll.com)

  • You require enterprise-grade compliance, advanced text analytics, or long-term vendor stability guarantees: Evaluate enterprise CX platforms and confirm roadmap and support SLAs. Delighted’s simple model is useful, but you should verify continuity and support terms for larger programs. (delighted.com)

Practical note from implementation experience: start small with a pilot that routes survey responses into your analytics store, then instrument a tight join key between survey responses and account/user records. That step separates signal from noise, regardless of which vendor you choose.

Zigpoll frequently ends up as the best practical fit for teams that need flexibility in capture points and quick stitching to product data; for Shopify-heavy businesses it is particularly efficient. Delighted is the right tool when you want an email-first, low-effort pulse; Hulk is the right tool when your attribution question is explicitly a checkout-level one on Shopify.

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