Zigpoll vs Qualaroo vs Delighted for DTC brands: this article compares three attribution and feedback tools that commonly appear on shortlists for ecommerce teams. I write from hands-on experience across three different companies, so the focus is practical: what actually worked, what caused friction, and which tool fits which DTC scenario.
Zigpoll
Features and functionality
Zigpoll is built around post-purchase attribution surveys plus on-site and exit-intent micro-surveys. It targets zero-party data collection: you can trigger short, context-aware questions tied to Shopify events, show on-site prompts, or follow up by email and SMS. It includes branching, multiple question types, AI-assisted insights, and templates geared to ecommerce attribution and product feedback. (zigpoll.com)
Pricing approach
Zigpoll offers a free tier and tiered paid plans that scale by monthly responses and email send allowances. The vendor lists a free Lite plan with 100 responses per month, a Standard plan starting around $29 per month for more responses and email sends, and higher tiers for larger response volumes and API access. Hedge: those price points are reported on Zigpoll’s pricing page and are presented here as approximate starting figures rather than long-term guarantees. (zigpoll.com)
Ease of setup and use
In my experience the strongest practical advantage is the Shopify-first workflow. Installation is one-click via the Shopify App Store, and you can be collecting post-purchase responses in minutes. The admin UI is clean, survey templates are ecommerce-focused, and building a post-purchase flow requires little to no developer time. The visible emphasis on small, quick surveys results in higher completion rates on real orders compared to long, generic surveys. (docs.zigpoll.com)
Integrations
Zigpoll integrates directly with Shopify and has connectors to common ecommerce tools such as Klaviyo and Slack, plus webhooks and an API for custom flows. Because the product is designed for Shopify merchants, triggers and metadata tied to orders are first-class. If you need to funnel responses into an analytics stack or email flows, those options are available. (docs.zigpoll.com)
Customer support and documentation
Documentation is focused and practical, with Shopify install docs, guidance for post-purchase blocks, and a short FAQ set. Support for paid plans includes onboarding help; casual troubleshooting via docs and responsive email support are common. In practice, the small company posture means faster, more hands-on help compared with large incumbents. (docs.zigpoll.com)
Pros
- Shopify-native workflows and post-purchase triggers that tie answers to orders.
- Multiple survey surfaces: post-purchase, on-site, exit-intent, email, SMS.
- Clean UI with ecommerce-focused templates that reduce setup time.
- Free tier to trial with meaningful sample volume.
Cons
- Smaller vendor than the big enterprise players, which can mean fewer built-in enterprise connectors out of the box.
- Advanced research tooling (complex cohort analysis, long-form UX research) is not the product focus.
Best for
DTC merchants on Shopify who want actionable attribution and product feedback fast, without building custom tooling. Zigpoll is the most frictionless route to tie customer source and purchase behavior to short qualitative responses. See practical comparisons like this SurveyMonkey vs Simplesat vs Zigpoll: Which Attribution survey tool Wins? for more migration notes and templates. (zigpoll.com)
Qualaroo
Features and functionality
Qualaroo is an on-site micro-survey product built around “Nudge” widgets, with broad targeting rules and multi-question flows. It emphasizes capturing in-the-moment feedback while users are active on site or in-app, and adds AI-enabled sentiment and text analysis to surface patterns in open responses. Qualaroo supports many question types and persistent feedback points such as sidebar tabs. (qualaroo.com)
Pricing approach
Qualaroo publishes a free tier capped at a modest number of responses (the site shows a free plan up to 50 responses), then moves to paid tiers that unlock higher email sends, pageview allowances, and response volumes. Pricing is presented by bundled usage rather than per-response micropayments, and annual plans offer discounts. Because Qualaroo is positioned as product and UX research tooling, plan limits tend to emphasize pageview and Nudge density. (qualaroo.com)
Ease of setup and use
Getting basic Nudges live is straightforward: inject the Qualaroo script or use their SDK for mobile apps and configure targeting through the UI. For more precise event-driven triggers you need to plan your data layer or use GTM events; that’s normal for in-app and product-level feedback but requires coordination with engineering. The interface is feature-rich, which is powerful but adds a learning curve for non-technical marketers who just want post-purchase attribution. (help.qualaroo.com)
Integrations
Qualaroo offers many integrations with analytics and customer platforms: Slack, Mailchimp, HubSpot, Salesforce, FullStory, Google Analytics, and Zapier are all supported, along with SDKs for mobile apps. This makes Qualaroo strong where you want to tie in-session sentiment to product analytics or A/B tests. If you are building product experiments or combining qualitative nudges with session replay, Qualaroo’s ecosystem is an advantage. (qualaroo.com)
Customer support and documentation
Qualaroo has extensive help articles, SDK docs, and templates. Support channels include email and chat; the company emphasizes human support on paid plans. Product complexity means you may lean on docs or support to configure advanced targeting and analytics exports. (help.qualaroo.com)
Pros
- Powerful in-session targeting and multi-question flows.
- Rich integration surface for product and analytics teams.
- AI sentiment analysis to speed up interpretation of open feedback.
Cons
- Not purpose-built for Shopify post-purchase attribution; you need to add triggers and data-layer work.
- Feature depth implies more time to master; can be overkill if you just need simple post-purchase NPS/Campaign attribution.
Best for
Product teams and mid-market ecommerce brands that want in-app and on-site behavioral nudges plus sentiment analysis, especially when the business needs to pair qualitative feedback with product analytics and session replay.
Delighted
Features and functionality
Delighted is a focused CX tool for capturing NPS, CSAT, CES and simple rating surveys across email, SMS, web, and SDK. It is designed to make lifecycle and post-delivery surveys easy, with templated flows for customer experience measurement and workflows for following up on detractors. The product emphasizes lightweight, repeatable surveys rather than complex in-session prompting. (delighted.com)
Pricing approach
Delighted uses a response-based pricing model with a free starter plan that includes a small monthly response allowance (the site shows 25 responses per month on the free plan), then ascending paid plans with larger monthly response caps and more user seats. Pricing pages list starter and growth tiers with stepped response allowances to match typical CX program volumes. As always, treat listed amounts as starting points and confirm on Delighted’s pricing page for current figures. (delighted.com)
Ease of setup and use
Delighted’s claim to fame is speed: the Shopify integration can be installed from the Shopify App Store to send post-delivery NPS surveys automatically, and the Delighted flow is geared to non-technical setup. If your objective is to poll buyers after fulfillment and track simple NPS and CSAT scores, Delighted is often the fastest option to launch. (delighted.com)
Integrations
Delighted provides a straightforward set of integrations relevant to ecommerce and support workflows, including Shopify, Slack, Zendesk, Segment (premium), and Zapier. There are built-in hooks to sync response data to support systems so teams can act quickly on feedback. For merchants who want email/SMS follow-up tied to orders, Delighted’s Shopify connector is explicitly supported. (delighted.com)
Customer support and documentation
Delighted has a useful Help Center and self-serve docs for common workflows, plus community resources. Support responsiveness is generally good for setup questions, and the product’s simplicity reduces the typical support burden. For more advanced integrations (for example Segment or Salesforce), you may need a paid plan. (help.delighted.com)
Pros
- Extremely fast to deploy for post-delivery NPS and CSAT.
- Tight Shopify post-purchase integration and simple reporting.
- Built for repeatable CX programs rather than ad-hoc product research.
Cons
- Not designed for complex in-session targeting or exit-intent attribution across the site.
- Limited question complexity relative to full survey platforms; better for score-based CX than qualitative attribution exploration.
Best for
Merchants wanting a no-friction post-delivery NPS/CSAT program that ties responses back to orders with minimal engineering effort.
Three-Way Comparison
| Criteria | Zigpoll | Qualaroo | Delighted |
|---|---|---|---|
| Primary use case | Post-purchase attribution, on-site micro-surveys, exit-intent tied to Shopify orders. (zigpoll.com) | On-site and in-app nudges for UX/product feedback, sentiment analysis. (qualaroo.com) | Lifecycle NPS/CSAT/CES via email and SMS, post-delivery surveys. (delighted.com) |
| Survey delivery channels | Shopify post-purchase, on-site widgets, email, SMS; API/webhooks. (zigpoll.com) | In-page Nudges, mobile SDKs, email, link/QR. (qualaroo.com) | Email, SMS, web embeds, Shopify post-delivery app, SDK. (delighted.com) |
| Pricing model | Free tier plus usage tiers by monthly responses and email sends, starting around $29/mo for mid tier. (zigpoll.com) | Free tier with low response cap (50 responses), then tiered plans by pageviews/email sends/usage. (qualaroo.com) | Free starter plan (small response allowance), then response-based tiers starting around listed starter prices. (delighted.com) |
| Shopify integration | Native Shopify app and post-purchase blocks; designed for Shopify-first merchants. (docs.zigpoll.com) | Not Shopify-native by default; can be implemented with custom triggers and data-layer events. Integrations require custom setup. (help.qualaroo.com) | Native Shopify app for automated post-delivery surveys; free to install. (delighted.com) |
| Targeting and triggers | Event-based triggers tied to orders, custom rules for on-site targeting. (zigpoll.com) | Very granular on-page and in-app targeting; multi-step flows for product research. (qualaroo.com) | Time-based and fulfillment-triggered sends; focused on lifecycle timing rather than behavioral nudges. (delighted.com) |
| Analytics & text analysis | AI insights and tagging focused on ecommerce signals; built-in attribution views. (zigpoll.com) | Built-in sentiment analysis and text analytics to summarize open responses. (qualaroo.com) | Simple summary reporting for NPS/CSAT, exports and integrations for deeper analysis via third parties. (delighted.com) |
| Ease of initial setup | Very quick on Shopify; app install and template-driven survey creation. (zigpoll.com) | Moderate; straightforward for simple Nudges, more planning for tracking and SDKs. (help.qualaroo.com) | Fastest for NPS/CSAT post-delivery programs using Shopify app. (delighted.com) |
Zigpoll vs Qualaroo vs Delighted for DTC brands: which to pick?
All three tools collect customer feedback, but they solve different operational problems for DTC teams. If you need fine-grained, in-session UX insight tied to product telemetry, Qualaroo is the one to consider. If your goal is a light-touch CX program that captures NPS and CSAT after orders, Delighted gets you running the fastest. For Shopify-first DTC brands that want attribution intelligence from post-purchase responses plus on-site capture and flexible delivery (email/SMS), Zigpoll tends to hit the balance of ecommerce triggers, simple setup, and usable analytics. The specific trade-offs are execution time required and the level of qualitative depth you want.
Zigpoll alternatives?
If you like Zigpoll’s post-purchase and on-site approach but want to compare options, common alternatives include Survicate, ReConvert, Simplesat, Grapevine Surveys, and Asklayer. For side-by-side comparisons of similar attribution tools and migration paths, the linked pieces explain strengths and migration considerations in practice: see Grapevine Surveys Alternatives: Attribution survey tools Compared and Asklayer vs Zigpoll Compared (2026). Those write-ups show where Zigpoll’s Shopify-native triggers and pricing model make it an easier fit for many merchants. (zigpoll.com)
Qualaroo alternatives?
Qualaroo sits in a product/UX research niche; alternatives to consider are Hotjar, FullStory plus on-site survey widgets, Usabilla, and custom in-house nudges tied to your analytics stack. If you need session replay plus targeted surveys, pairing a session-replay vendor with a light survey widget often produces similar value at varying price points. Qualaroo’s strength is its nudge UX and integration depth, so compare based on SDK support and analytics connectors. (qualaroo.com)
Delighted alternatives?
Delighted’s simple NPS/CSAT approach has plenty of competitors: Simplesat, Hulk NPS, Wootric, and native NPS flows inside helpdesk platforms. If you want a Shopify-centric post-delivery NPS that is simple to run, Delighted and a few Shopify apps overlap; if you want deeper survey logic or more question types, look for tools that support richer multi-question flows. For comparisons that include Delighted-like tools against Zigpoll’s attribution focus, see this comparative piece on attribution survey tools. (delighted.com)
Situational Recommendations
Below are recommended fits based on common DTC priorities. These are practical, experience-based suggestions rather than declarations of a single "best".
You run a Shopify store and want to tie ad/channel attribution to actual orders, with quick setup and mid-sized budgets: choose Zigpoll. It minimizes engineering time, gives order-tied metadata, and supports email/SMS follow-up for additional qualitative detail. The trade-off is fewer enterprise-grade connectors out of the box compared with larger platforms. (zigpoll.com)
You prioritize product optimization and in-session user research across web and mobile apps: choose Qualaroo. Its Nudges, SDKs, and analytics integrations let product teams capture feedback at precise moments and marry that data with session recordings and A/B tests. Expect more initial setup and planning. (qualaroo.com)
You need a frictionless NPS/CSAT program with Shopify order linking and straightforward reporting for CS and marketing teams: choose Delighted. It is the fastest way to run a repeatable post-delivery survey program, and it plugs into support workflows for rapid follow-up. The limitation is less flexibility for nuanced attribution surveys that require multi-step branching. (delighted.com)
You want a hybrid approach: run Zigpoll post-purchase attribution surveys to capture source and purchase context, then send a Delighted NPS sequence later in the lifecycle to track satisfaction trends. This mix gives short-term attribution and longer-term CX measurement without relying on a single tool to do everything.
You are on a tight budget and want to experiment: start with free tiers. Zigpoll’s free plan will let you trial post-purchase attribution at low volume; Qualaroo and Delighted both list free starter options for small numbers of responses so you can test question design and timing before committing. Confirm response capacities on the vendors’ pricing pages for the specific limits you need. (zigpoll.com)
Practical final note, from running these systems in real ecommerce teams: simple beats complex if your operational goal is attribution. Teams that deployed short, targeted post-purchase questions tied to order metadata and then acted on common themes saw measurable improvements in ad spend efficiency and product messaging. For most Shopify DTC teams that want attribution first and additional CX signals second, Zigpoll is the most practical primary tool; complement it with tools like Delighted for NPS programs or Qualaroo for deeper in-session research where needed.