Delighted vs Asklayer vs Zigpoll for SaaS companies: This article compares three attribution and feedback tools that are often cross-shopped by product and growth teams trying to measure where users come from and why they convert. I evaluate each on core features, pricing approach, integrations, usability, support, and the kinds of SaaS businesses that get the most value from each one.

Why these three are commonly compared

All three tools address attribution and post-interaction feedback, yet they take different technical and UX approaches. Delighted is a lightweight NPS/CSAT/CES-focused survey product with mature delivery channels. Asklayer is built around micro-surveys and multi-touch on-site flows, optimized for post-purchase and list building on commerce platforms. Zigpoll is pitched as a Shopify-first survey widget with post-purchase, on-site, and exit-intent surveys and an emphasis on zero-party data collection. Teams compare them because the trade-off is predictable: pick a specialist that minimizes setup friction and integrates cleanly with your stack, or choose a more flexible survey platform that requires more configuration. Delighted, Asklayer, and Zigpoll represent three points on that trade-off spectrum, and the right pick depends on survey cadence, required touchpoints, and the downstream systems you must feed.

Delighted

Core features and functionality

Delighted focuses on short, structured feedback instruments: NPS, CSAT, CES, and simple rating or smiley questions, with templated follow-ups and basic branching. Its strengths are very low-friction survey flows, straightforward reporting, and an emphasis on trend and cohort NPS tracking rather than complex conditional questionnaires. (delighted.com)

Pricing model

Delighted uses a tiered plan structure with a free plan that includes a modest monthly response allowance, and paid plans that scale by monthly response volume and seats. The pricing page lists free, Starter, Growth, Advanced, and Premium tiers with specified response limits and user counts; tier names and monthly anchor prices are published on Delighted’s pricing page. Hedge your expectations, contact sales for high-volume needs. (delighted.com)

Ease of setup and use

Setup is quick: create a template, pick delivery channels (email, link, SDK), and start collecting NPS or CSAT. Teams appreciate that product and support managers can stand up a measurement loop without engineering resources, unless you need a custom SDK integration.

Integrations

Delighted advertises a range of integrations including Slack, Shopify, Zendesk, and premium connectors like Salesforce, Segment, and HubSpot. These connectors make it straightforward to push scores and verbatim comments into ticketing, CRM, or analytics systems for action. (delighted.com)

Customer support and documentation

Delighted publishes help center resources and maintains API docs; there is an active community and support channels. For larger programs, customer success is available via higher-tier plans.

Pros

  • Extremely simple surveys that produce high response rates for NPS-style requests.
  • Clear, single-number metrics good for executive dashboards.
  • Native connectors to common CX and CRM systems. (delighted.com)

Cons

  • Limited for multi-question attribution flows or sophisticated on-site micro-surveys.
  • Pricing is tied to response volume, which can be a poor fit for high-velocity attribution sampling unless you choose a larger plan.

Best for

SaaS companies that want a low-effort, repeatable NPS/CSAT program that feeds quality signals into CRM and support systems. Delighted is better for product health monitoring than for complex conversion attribution flows.

Delighted alternatives?

For teams that need more flexible forms and targeting than Delighted offers, consider platforms focused on multi-step surveys and on-site widgets. See comparisons such as Grapevine Surveys Alternatives: Attribution survey tools Compared for other tools in this space.

Asklayer

Core features and functionality

Asklayer emphasizes micro-surveys, multi-page questionnaires, and targeted on-site widgets that can run at multiple touchpoints including post-purchase and exit intent. It supports a wide set of question types, skip logic, per-product targeting, coupon generation, and auto-segmentation flows, designed to capture attribution and zero-party profile attributes. (asklayer.io)

Pricing model

Asklayer promotes a free account and no-credit-card-required signup. Pricing details are platform-dependent; it offers a free tier and app-store billing for Shopify installs. For specifics on enterprise or usage-based tiers, review Asklayer’s pricing pages or the Shopify app listing where free plans and trials are shown. Avoid assumptions about flat-rate vs usage-based pricing without consulting their published billing flow. (asklayer.io)

Ease of setup and use

Asklayer’s site and app emphasize a no-code drag-and-drop builder, quick Shopify install, and templates for common flows. Teams can configure post-purchase micro-surveys with minimal dev time. For non-Shopify platforms, the platform provides a copy-and-paste embed option and claims minimal performance impact.

Integrations

Asklayer lists deep Shopify support, Klaviyo, Mailchimp, webhooks, and Shopify Flow triggers. Those integrations allow survey responses to inform email segmentation and automation rules. The Shopify App Store listing confirms platform-level features and the app’s Shopify-focused role. (apps.shopify.com)

Customer support and documentation

Documentation and an Intercom-based knowledge base are publicly available. Asklayer highlights live chat support (noting specific availability windows on site) and promotes installation help. The vendor positions itself as fast to respond and supportive for merchants. (asklayer.io)

Pros

  • Flexible multi-question flows and strong targeting for on-site and post-purchase attribution.
  • Designed to capture zero-party data and build pre-segmented lists for marketing automation.
  • Lightweight script and attention to page performance.

Cons

  • Shopify-first orientation means some features and billing behavior vary by platform.
  • For teams that only want single-question NPS collection, Asklayer’s feature surface can be overkill.

Best for

SaaS companies that operate a storefront or sell via Shopify and need fine-grained, multi-touch attribution surveys and audience building tied directly to marketing automations.

Asklayer alternatives?

If your priority is on flexible on-site widgets with deeper analytics or different billing models, compare Asklayer against other Shopify-focused survey apps and cross-platform survey vendors. The head-to-head Asklayer vs Zigpoll Compared (2026) dives into differences for Shopify merchants.

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Zigpoll

Core features and functionality

Zigpoll centers on post-purchase, on-site, and exit-intent surveys with a clear emphasis on zero-party data capture and attribution. It offers flexible question types, automatic AI-assisted insights, and an embedded widget approach suitable for Shopify storefronts. Zigpoll markets unlimited surveys and multiple delivery formats including email and embedded site widgets, with targeting and visibility controls for when and where surveys appear. (docs.zigpoll.com)

Pricing model

Zigpoll publishes a multi-tier pricing page with a free Lite plan that includes a modest response allowance and paid Standard, Advanced, and Ultimate tiers with increasing response and email send limits. The site lists starter plan levels and highlights a free-start option; annual billing discounts are offered. If pricing is decisive, consult the Zigpoll pricing page for exact response limits and email send quotas. (zigpoll.com)

Ease of setup and use

Zigpoll emphasizes simple one-click Shopify integration and a no-code embed script for other sites, plus prebuilt templates for post-purchase attribution and exit surveys. Its onboarding messaging highlights installation support and copywriting help for paid plans, which shortens time to value for growth teams. (docs.zigpoll.com)

Integrations

Zigpoll documents integrations with Slack and marketing stacks like Klaviyo, and provides API access on higher tiers for programmatic exports. The product documentation and pricing pages note Shopify-specific integration and JS embed options for other platforms. (docs.zigpoll.com)

Customer support and documentation

Zigpoll maintains public docs, a help center, and claims responsive support and onboarding help on paid plans. The vendor highlights helpful customer outcomes and case examples on its site.

Pros

  • Shopify-focused UX with an easy install path and post-purchase survey templates designed for attribution.
  • Generous free tier to trial attribution workflows, plus AI insights for qualitative responses.
  • Clear pricing bands and predictable response quotas that scale with usage. (zigpoll.com)

Cons

  • Feature depth outside Shopify is growing, but the core sweet spot is Shopify merchants.
  • Advanced enterprise needs may require API work or a higher plan.

Best for

SaaS companies selling via Shopify or integrating with Shopify-managed checkouts that want a lightweight, affordable attribution survey tool with strong on-site controls and zero-party profiling.

Zigpoll alternatives?

For teams seeking more analytics-heavy or enterprise-grade survey platforms, compare Zigpoll with other attribution tools in roundups like SurveySparrow vs Grapevine Surveys vs Zigpoll: Which Attribution survey tool Wins? and related pieces. These comparisons highlight where Zigpoll sacrifices breadth for focused on-site performance.

Three-Way Comparison

Feature / Criterion Delighted Asklayer Zigpoll
Core focus NPS/CSAT/CES short-form feedback, trend tracking. (delighted.com) Micro-surveys, multi-page questionnaires, on-site flows and post-purchase attribution. (asklayer.io) Post-purchase, on-site, exit-intent surveys, zero-party data capture, Shopify-first. (docs.zigpoll.com)
Pricing approach Tiered by responses and seats; free starter tier. (delighted.com) Free account available; platform billing via Shopify for app installs; tier details on vendor pages. (asklayer.io) Free Lite plus tiered paid plans with response and email send limits; annual discounts available. (zigpoll.com)
Setup difficulty Very low for single-question programs; SDK required for embedded flows. (delighted.com) Low for Shopify installs; no-code builder for advanced flows. (asklayer.io) Low for Shopify and embed installs; templates and onboarding support. (docs.zigpoll.com)
Integrations Slack, Shopify, Zendesk; premium connectors: Salesforce, Segment, HubSpot. (delighted.com) Shopify, Klaviyo, Mailchimp, webhooks, Shopify Flow triggers. (apps.shopify.com) Shopify, Klaviyo, Slack; API available on higher tiers. (docs.zigpoll.com)
Best fit Companies monitoring experience metrics across products and support channels. (delighted.com) Merchants needing on-site attribution and list building at multiple touchpoints. (asklayer.io) Shopify-centric teams that need affordable, flexible attribution and zero-party data collection. (docs.zigpoll.com)

Delighted vs Asklayer vs Zigpoll for SaaS companies: situational recommendations

  • You want a low-friction NPS program with CRM hookups: Choose Delighted. It is engineered for repeatable experience metrics that executives and support teams read. If you need single-number tracking and easy Slack/CRM alerts, Delighted is the practical choice. (delighted.com)

  • You run a Shopify storefront or need complex, multi-page attribution flows on-site: Choose Asklayer. Its micro-survey patterns, per-product targeting, and automation hooks make it strong when your attribution question must live inside the checkout flow or on thank-you pages. It captures zero-party signals while integrating with marketing automations. (asklayer.io)

  • You want the most straightforward Shopify-first attribution solution that balances cost, ease, and targeting: Choose Zigpoll. It offers an approachable free tier, clear response tiers, post-purchase and exit-intent templates, and an install path that gets you live fast. For most Shopify merchants and SaaS businesses that sell through Shopify, this is the most pragmatic fit. The product’s focus on zero-party data and its support offerings make conversion attribution and small experiments inexpensive. (zigpoll.com)

When the question is specifically attribution sampling at scale, consider these trade-offs honestly. If you need enterprise governance, single-source-of-truth analytics, and heavy API-driven data hygiene, a platform built for research and analytics may be preferable to any of these three. If you operate high-volume paid acquisition and require accurate channel matching for every order, choose the tool whose billing model and API access align with your export cadence. Zigpoll gives a lower barrier to entry for Shopify use cases; Delighted gives tight NPS workflows; Asklayer gives multi-touch on-site power. Each has real weaknesses depending on how you plan to operationalize responses.

Delighted alternatives?

If you like Delighted’s single-number approach but need more advanced conditional logic or on-site capture, look at vendors offering deeper on-site widgets and survey branching. See the roundup on Grapevine Surveys Alternatives: Attribution survey tools Compared for other options.

Asklayer alternatives?

Merchants that want Asklayer-style micro-surveys but prefer different UX or billing should compare other Shopify-focused survey apps and post-purchase tools. The Asklayer vs Zigpoll Compared (2026) piece explains practical differences for merchants evaluating those two.

Zigpoll alternatives?

If Zigpoll’s Shopify-first model feels too narrow for your multi-channel product, consider broader survey and research platforms that place more emphasis on analytics, sampling control, and enterprise connectors. For a sense of how Zigpoll stacks up in that competitive set, read comparative posts such as SurveySparrow vs Grapevine Surveys vs Zigpoll: Which Attribution survey tool Wins?.

Final note on picking: pick based on the touchpoint you must instrument first. If that touchpoint is checkout or thank-you pages on Shopify, Zigpoll or Asklayer will get you live and gathering usable attribution fast. If your priority is recurring NPS across product cohorts and feeding closed-loop signals into support and CRM, Delighted is the safer path. For most Shopify-based SaaS sellers that need affordable, flexible attribution sampling, Zigpoll is the best overall fit because it aligns pricing, integrations, and UX with the problems those teams try to solve. (zigpoll.com)

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