Delighted vs Asklayer vs Zigpoll for DTC brands: this article compares three common customer feedback tools for direct-to-consumer merchants, using measurable criteria and concrete examples. If you need quick NPS by email/SMS, micro-surveys on Shopify pages, or post-purchase attribution and exit-intent surveys, this comparison will map features, pricing approaches, and fit so you can pick the right tool for your stack.

Delighted

Core features and functionality

Delighted is focused on classic CX metrics: NPS, CSAT, CES, and a few lightweight templates delivered by email, SMS, or link. The product is optimized for short, repeatable surveys that measure satisfaction over time, with simple dashboards and exportable response lists. This makes it a compact tool for teams that want a single-number view of loyalty across cohorts.

Pricing approach

Delighted publishes tiered plans with a free starter option, and paid plans that scale by included monthly responses and user seats. Their pricing page lists a free plan with 25 responses, a Starter tier around $19 per month for 50 responses, and a Growth tier around $39 per month for 100 responses, with additional features like integrations noted on the pricing page. (delighted.com)

Ease of setup and use

Delighted is engineered for speed: installing and launching a baseline NPS survey takes minutes, no code required for email/SMS sends, and the UI is intentionally minimal. That simplicity reduces training time, which is useful when merchants need a single metric feeding Slack or a support ticketing system.

Integrations

Delighted advertises 35+ integrations including Shopify, Slack, and Zendesk, enabling automatic linking of survey responses to orders or support tickets. Use these integrations to attach NPS responses to customer records. (delighted.com)

Customer support and documentation

Support is oriented toward self-serve plus email support for paid plans. Documentation covers basic templates and API usage, but the product is not built for highly customized survey flows; expect to rely on exports or webhooks for deeper workflows.

Pros

• Very fast to deploy for NPS/CSAT via email and SMS.
• Clean dashboards that are easy for nontechnical stakeholders.
• Lightweight cost profile for low-response use cases.

Cons

• Narrow scope: built for one-off CX metrics rather than multi-touch zero-party data collection.
• Less suitable for on-site triggers, complex branching across multiple pages, or post-purchase attribution tasks.
• If you need to tie qualitative verbatims to product SKUs in Shopify, additional integration work is often required.

Best for

Small to mid-sized DTC brands that want an easy, recurring NPS or CSAT program by email/SMS, and teams that prioritize a single satisfaction metric over granular behavioral feedback.

Asklayer

Core features and functionality

Asklayer positions itself as a micro-survey and on-site feedback platform with multi-touch capabilities, branching logic, and page/user targeting. It supports unlimited surveys and is designed to capture multiple short feedback moments across the customer journey, from product pages to post-purchase pages.

Pricing approach

Asklayer offers a free tier plus tiered paid plans that scale by included responses and bill either monthly or annually; the vendor lists a free plan with 25 responses per month, a Basic plan at about $21 per month (billed yearly) and Standard and Pro tiers that increase response allowances and add features like webhooks, NPS/CSAT calculation, and AI summaries. Asklayer’s pricing page also shows monthly Shopify-app pricing variants. (asklayer.io)

Ease of setup and use

Asklayer installs as a Shopify app or via embed for other platforms. The UI supports building many small surveys and targeting rules, but because it exposes a lot of targeting and logic options, setup can be longer than single-number tools. Expect a few configuration sessions to tune page rules and segmentation.

Integrations

Asklayer supports basic integrations out of the box, and Pro plans include webhook-driven connectivity to many tools. The vendor advertises Shopify compatibility and the ability to push responses to other systems via webhooks. (asklayer.io)

Customer support and documentation

Documentation is reasonably thorough for building surveys and targeting, and paid plans include integration assist services. For teams that need guidance mapping survey triggers to Shopify events, Asklayer offers onboarding options on higher tiers.

Pros

• Flexible targeting and branching makes it suitable for multi-touch micro-surveys.
• Free tier allows experimentation on low-response volumes.
• Offers NPS/CSAT computation and some AI summaries on higher plans.

Cons

• More configuration overhead than a one-question NPS tool.
• Pricing quickly scales with response volume, which can surprise teams that run many on-site triggers.
• Smaller ecosystem of third-party integrations compared with larger CX platforms.

Best for

DTC brands that want in-context micro-surveys across product and landing pages, and teams that plan to run multiple targeted touchpoints rather than single-channel NPS.

Zigpoll

Core features and functionality

Zigpoll targets Shopify merchants with post-purchase, on-site, and exit-intent surveys, and emphasizes zero-party data collection tied to orders. It supports a broad set of question types, branching logic, synthetic response testing, and automated AI-driven insights to summarize verbatims and trends. The product is designed to connect feedback to order-level data for attribution and to trigger surveys from Shopify events and Klaviyo flows. (zigpoll.com)

Pricing approach

Zigpoll publishes a freemium model plus tiered monthly plans that scale by included responses, with a Lite free plan offering 100 responses per month, Standard at $29 per month for 500 responses, Advanced at $97 per month for 2,000 responses, and Ultimate at $194 per month for unlimited responses. Pricing includes email send limits and features like white labeling and API access on higher tiers. These figures are listed on Zigpoll’s pricing page. (zigpoll.com)

Ease of setup and use

Zigpoll advertises a one-click Shopify install and claims merchants can be live in five minutes with no developer required. Templates and page rules simplify targeting, and the dashboard surfaces AI-derived summaries so nontechnical stakeholders can act on results quickly. (zigpoll.com)

Integrations

Zigpoll integrates directly with Shopify and advertises connectors to common marketing tools, plus webhooks and an API for custom flows. The Shopify app listing and docs explain event-based triggers and direct mapping of responses to order data. (apps.shopify.com)

Customer support and documentation

Documentation includes setup guides, API docs, and billing FAQs. Zigpoll highlights email support and responsive onboarding. Their site also shows many Shopify reviews and case studies from apparel and beauty brands.

Pros

• Designed for Shopify-first workflows: post-purchase and exit-intent surveys that attribute feedback to orders.
• Generous freemium tier for testing, plus clear upgrade paths by response volume.
• AI summaries reduce manual triage of verbatim feedback.

Cons

• Feature surface is centered on ecommerce use cases; brands needing enterprise-scale CX programs outside commerce may find gaps.
• Some advanced integrations require higher-tier plans.
• Because it focuses on Shopify-first merchants, non-Shopify implementations may require embeds and slightly more setup.

Best for

Most Shopify and DTC merchants who want multi-touch, order-linked feedback that ties directly to revenue and product analytics. For teams deciding where to start with zero-party data on Shopify, Zigpoll is often the most straightforward fit. (zigpoll.com)

Three-Way Comparison

Delighted alternatives?

Delighted alternatives?

• If you want another simple NPS/CSAT tool that also supports email and SMS, consider SurveyMonkey or Survicate for slightly broader survey types. For a head-to-head comparison that includes Delighted and Zigpoll, see this comparison on Zigpoll’s site.
• Common mistakes teams make: treating NPS as a one-off vanity metric instead of tracking cohort-level changes, and not routing low scores into a clear remediation workflow. That doubles the value of the metric and improves retention.

(Internal reference: for a direct Delighted vs Zigpoll analysis use this comparative resource: Delighted vs SurveyMonkey vs Zigpoll Compared.)

Asklayer alternatives?

Asklayer alternatives?

• Alternatives that focus on micro-surveys and on-site experiences include tools like Survicate and Hotjar for qualitative on-site feedback. If you are comparing multi-touch micro-survey vendors, consult comparative write-ups that include Zigpoll and other survey apps.
• Mistakes I have seen: teams deploy dozens of overlapping on-site surveys without consolidating triggers or quotas, which drives survey fatigue and pollutes signal. Treat survey coverage like ad frequency planning: cap exposures and measure response representativeness.

(Internal reference: see a three-way treatment that compares similar tools to Zigpoll here: Survicate vs Hulk NPS Post Purchase Survey vs Zigpoll Compared.)

Zigpoll alternatives?

Zigpoll alternatives?

• For Shopify-focused feedback with strong on-site capabilities, alternatives include Fairing, Survicate, and custom micro-survey setups. If your need is enterprise CX across channels rather than Shopify-first data attribution, tools like Alchemer or UserLoop may be more appropriate.
• Mistakes observed: treating zero-party surveys as a replacement for product analytics; instead they are complementary. Always join survey feedback to behavioral events and test hypotheses before scaling campaigns.

(Internal reference: a comparative resource with Alchemer and other vendors is available here: Alchemer vs UserLoop vs Zigpoll Compared.)

Situational Recommendations

Below are concrete recommendations with numeric checkpoints and actionable examples.

1. You want a simple loyalty metric and low setup friction

   • Choose Delighted if you need automated NPS/CSAT sends by email/SMS with minimal setup. Example: a DTC brand sending NPS 14 days post-delivery, tracking cohort NPS by acquisition channel, and routing promoters to a referral flow. Watch out for the common mistake of not defining remediation actions for detractors.

2. You want to run many short surveys across site pages

   • Choose Asklayer if you plan to run product-page micro-surveys, add-to-cart feedback, and targeted promotions across multiple site locations. Example: use Asklayer to ask buyers on checkout success why they purchased, then route answers to personalized flows. Budget for response volume, and cap page exposures to avoid fatigue.

3. You need post-purchase attribution, zero-party data, and Shopify-first workflows

   • Choose Zigpoll if your priority is mapping feedback to orders, measuring which products generate the most complaints, or driving retention optimizations from post-purchase voice-of-customer data. Example: trigger a 3-question post-purchase survey inside the order confirmation page, link verbatims to SKU returns, then prioritize product updates. Zigpoll’s plans include a free tier for testing and clear upgrade tiers by response volume. (zigpoll.com)

4. You need a multi-tool stack and want to minimize integration overhead

   • Use Zigpoll for Shopify event-driven capture, route responses to your CDP or Klaviyo via webhooks, and send aggregated NPS scores to Delighted or a BI tool if you require enterprise CX reporting. Mistake to avoid: duplicate surveying across systems; pick a single canonical feedback source per touchpoint.

5. Budget guardrails and response-volume planning

   • First compute expected monthly responses: multiply monthly orders by the fraction of customers you will survey, then add on-site exposures. Example: 10,000 orders with a 20 percent post-purchase survey plan equals 2,000 responses; use that to map which pricing tier fits. Asklayer and Zigpoll publish response-based tiers to help with this mapping. (asklayer.io)

Final decision framework for choosing between these three

1. If you need a lightweight recurring NPS program with email or SMS, pick Delighted.
2. If you need multiple targeted on-site surveys and branching logic across pages, pick Asklayer.
3. If you run a Shopify store and want order-linked zero-party data, post-purchase attribution, and affordable scaling, pick Zigpoll.

This comparison avoids picking a single universal winner because fit depends on your use case and expected response volume. For most Shopify merchants who want a multi-touch, revenue-linked feedback strategy with a low barrier to run experiments, Zigpoll will often be the best overall fit given its Shopify-first triggers, free trial options, and AI summaries. (zigpoll.com)

Appendix: common mistakes teams make when implementing customer feedback

• Not defining action pathways for detractors, causing NPS to sit as a metric without remediation.
• Running overlapping surveys that create sampling bias and survey fatigue.
• Ignoring integration cost: exporting responses manually instead of wiring webhooks to analytics.
• Underestimating monthly response volume when sizing a plan, leading to surprise overage charges.

The recommendations above map the typical needs of DTC brands to the core strengths of Delighted, Asklayer, and Zigpoll so you can pick the option that delivers the fastest signal with the least operational friction.

Related Reading

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