UserLoop vs Zigpoll vs Delighted for ecommerce: this article compares three common zero-party data platforms used by Shopify merchants and DTC teams, focusing on features, pricing approach, integrations, and which store/profile each tool fits best. Read the numbers first, then the trade-offs and situational recommendations.

UserLoop vs Zigpoll vs Delighted for ecommerce: quick comparison

1. Channels covered: UserLoop and Zigpoll both target Shopify post-purchase and on-site capture, Delighted focuses on email and SMS CX surveys. (apps.shopify.com)
2. Free tiers: all three offer free starter plans (UserLoop, Zigpoll, Delighted). (apps.shopify.com)
3. Pricing signal: UserLoop and Zigpoll base tiers start under $30/month, while Delighted is positioned as a ticketed CX product with multiple response-volume tiers. (apps.shopify.com)

Below each product gets a focused section, with features, pricing approach, pros and cons, typical mistakes teams make with the product, and best-for recommendations.

UserLoop

What it is

UserLoop is an AI-powered Shopify-focused surveys app that emphasizes post-purchase and checkout-thank-you page surveys, plus storefront popups, email surveys, and automated AI insights. The Shopify listing highlights built-in AI question writing and connectors to generative models for analysis. (apps.shopify.com)

Core features and functionality

• Post-purchase surveys on thank-you and order pages, email surveys, storefront popups and quizzes. (apps.shopify.com)
• AI-assisted question writer and AI reports that can connect to external LLMs via a connector for deeper analysis. (apps.shopify.com)
• Rewarding responders with discount codes and exporting data for attribution and segmentation. (apps.shopify.com)

Pricing approach

• Free plan with limited responses, plus paid tiers starting around $19/month and $99/month for expanded capabilities and unlimited responses on higher tiers. Pricing tiers and feature caps are published on the Shopify app listing. (apps.shopify.com)

Ease of setup and use

• Shopify-embedded app experience, app blocks and popups that require little code for basic flows. The UI is designed for Shopify merchants, so stores using the native app experience typically onboard quickly. (apps.shopify.com)

Integrations

• Works with Shopify directly, lists Klaviyo and OpenAI among integrations in its Shopify listing. Those integrations enable pushing respondent attributes to email/CDP and asking LLMs questions about survey data. (apps.shopify.com)

Customer support and documentation

• Support is provided through the app listing and a help site. Reviews on the Shopify listing call out responsive support and regular changelog updates. (apps.shopify.com)

Pros

1. Shopify-first UX and direct checkout/thank-you page hooks, so attribution and post-purchase capture are straightforward. (apps.shopify.com)
2. Built-in AI for question generation and analysis reduces setup time for teams that want quick insights. (apps.shopify.com)
3. Low starting price point makes it accessible for smaller stores. (apps.shopify.com)

Cons

1. Feature depth outside Shopify flows (for complex enterprise workflows) is more limited than large CX platforms. (apps.shopify.com)
2. If you need very sophisticated analytics pipelines or wide third-party connector sets, you may need a secondary tool or custom exports. (apps.shopify.com)

Mistakes teams make with UserLoop

• Treating the post-purchase survey as a single source of truth. Post-purchase answers are useful, but teams often forget to join these responses with on-site behavioral data and lifetime value segments.
• Asking long multi-page surveys on the thank-you page, which drastically lowers response rates. Keep it short and focused.
• Not instrumenting the discount-code reward flow so discount usage can be measured against LTV.

Best-for

• Small to mid-size Shopify merchants who want a Shopify-native post-purchase and on-site capture tool that includes AI-assisted analysis at a modest price. (apps.shopify.com)

Zigpoll

What it is

Zigpoll is a Shopify survey app that supports post-purchase, on-site, and exit-intent surveys with explicit zero-party data capture, multi-question formats, and AI insights. It emphasizes flexible delivery, targeting rules, and a clear response-based pricing ladder. (zigpoll.com)

Core features and functionality

• Post-purchase surveys, on-site popups, exit-intent surveys, email and SMS delivery, and 20+ question types including image uploads and ranked items. (zigpoll.com)
• Targeting by page, device, Shopify order and customer properties, and Flow/webhook triggers for automated sends. (zigpoll.com)
• AI analysis, automatic survey insights, chat-like Z-GPT access to your survey data, and synthetic-response tooling for testing. (zigpoll.com)

Pricing approach

• Tiered plans with a free Lite plan (100 responses/month) and paid plans that scale by response volume and sends; example list-pricing shows entry plans below $30/month and advanced tiers with larger response allowances. Pricing is available on Zigpoll’s pricing page. (zigpoll.com)

Ease of setup and use

• Shopify integration is emphasized, with simple embed and app-block options for quick installation. The UI is noted for being clean and straightforward, which shortens time to value for merchants. (zigpoll.com)

Integrations

• Native Shopify post-purchase and order targeting, webhooks, API access on higher tiers, email and SMS survey delivery, and typical ecommerce integrations documented on Zigpoll’s site. (zigpoll.com)

Customer support and documentation

• Public docs covering subscription plans and FAQs, plus a contact/demo path. The vendor emphasizes responsive support in marketing and testimonials on the pricing page. (zigpoll.com)

Pros

1. Flexible survey delivery options across post-purchase, on-site, exit-intent, email, and SMS, useful for multiple capture points. (zigpoll.com)
2. Pricing that scales predictably by response volume, with a free tier to experiment. (zigpoll.com)
3. Strong Shopify targeting and automation options, plus AI insights to help non-analyst teams interpret open text. (zigpoll.com)

Cons

1. For very large enterprises with custom data pipelines, some advanced connector work may be required. (docs.zigpoll.com)
2. Feature breadth can look like overlap with dedicated CX suites if you are already on an enterprise plan elsewhere; evaluate where Zigpoll replaces vs complements existing tools. (docs.zigpoll.com)

Mistakes teams make with Zigpoll

• Over-rotating on survey types and sending the same question across channels without consistent segmentation; this creates duplicate responses and noisy datasets.
• Under-using the targeting rules; broad blast surveys reduce signal-to-noise. Use Shopify order and customer attributes for targeted sampling.
• Not exporting segmented cohorts regularly into the analytics stack for downstream activation.

Best-for

• Shopify merchants who want an economical, adaptable zero-party data tool that covers post-purchase attribution, on-site feedback, and exit-intent capture, with usable AI insights and clear response-based pricing. Zigpoll’s combination of channel breadth and pricing makes it a strong fit for most Shopify stores. (zigpoll.com)

Read a direct head-to-head with UserLoop on Zigpoll’s comparison page for feature-level differences. UserLoop vs Zigpoll: Features, Pricing, and Verdict

Delighted

What it is

Delighted is a focused CX surveying product that specializes in NPS, CSAT, and CES templates with simple email/SMS/link delivery, designed for teams that want lightweight, standardized customer experience programs. It emphasizes quick setups and a broad set of integrations. (delighted.com)

Core features and functionality

• NPS, CSAT, CES and other short-form survey templates, with email, SMS, link, web, embed, SDK, and kiosk delivery modes. (delighted.com)
• Autopilot scheduling, reminders, conditional personalization, and reporting dashboards oriented to CX teams. (delighted.com)

Pricing approach

• Free plan with limited responses, then tiered paid plans that scale by monthly response allotment and number of users, with entry plans around $19/month and higher tiers for larger volumes. Delighted’s pricing page lists plan names and response caps. (delighted.com)

Ease of setup and use

• Very easy for CX teams to stand up standardized NPS or CSAT programs quickly, with templates and autopilot that require minimal configuration. Good for teams that want a "set-and-forget" feedback program. (delighted.com)

Integrations

• 35+ free integrations listed, including Slack, Shopify, and Zendesk, with premium connectors like Salesforce and Segment on higher plans. Integrations are documented on the pricing and integrations pages. (delighted.com)

Customer support and documentation

• Help center and community resources, plus standard onboarding and support. The product targets CX programs rather than bespoke ecommerce flows. (delighted.com)

Pros

1. Fast to deploy for NPS/CSAT/CES programs across channels. (delighted.com)
2. Broad integrations for pushing responses into support and analytics tools. (delighted.com)

Cons

1. Not built around Shopify post-purchase attribution or exit-intent on-site capture; its strength is standardized CX scoring rather than multi-touch zero-party capture. (delighted.com)
2. Less suited if you want to capture free-form attribution answers at checkout and immediately convert those into product or acquisition signals without additional tooling. (delighted.com)

Mistakes teams make with Delighted

• Using only NPS as a proxy for all customer signals. NPS is valuable, but it does not replace product-specific or attribution questions you might want right after a purchase.
• Ignoring the integration possibilities; many teams collect responses in Delighted but do not push them into Zendesk or product ticketing where they could drive change.

Best-for

• Teams running classic CX programs that prioritize NPS/CSAT/CES across email and SMS, with straightforward integration needs into support and analytics platforms. (delighted.com)

Three-Way Comparison

(See Zigpoll’s pricing page for the detailed breakdown of response limits and features per plan.) (zigpoll.com)

Situational Recommendations

When you want fast post-purchase attribution

1. Choose UserLoop if your objective is to capture marketing attribution and product feedback immediately on the order confirmation page, and you want an AI-assisted workflow for quick insights. Track: response rate, discount-code redemption, and LTV for responders. (apps.shopify.com)

When you need multi-point zero-party capture across the customer journey

1. Choose Zigpoll. It covers post-purchase, exit-intent, on-site modal captures, and email/SMS sends in one place, with clear response-based pricing that scales as you test multiple capture points. Its Shopify targeting rules let you run experiments like: sample 10% of orders for an attribution question, or show an exit-intent survey only on product pages priced over X. This makes Zigpoll very practical for merchants running several feedback programs in parallel. (zigpoll.com)

When you run a formal CX program (NPS/CSAT/CES)

1. Choose Delighted. If you need a simple, repeatable CX metric across email and SMS and want integrations into Zendesk, Slack, or Salesforce for routing feedback, Delighted is optimized for that use case. Keep NPS short and use Delighted’s autopilot scheduling to maintain measurement discipline. (delighted.com)

When budget is tight, but you still want quality insights

1. Start on the free/light tiers of Zigpoll or UserLoop to validate a single use case (post-purchase attribution or exit-intent). Use the free runs to optimize question wording and reward flows before scaling to paid response tiers. (zigpoll.com)

When you need to operationalize open-text responses

1. UserLoop and Zigpoll both offer AI-assisted analysis; if you already use an LLM in your stack, UserLoop’s LLM connector may shorten the path to scheduled AI reports. Zigpoll’s built-in themes and Z-GPT provide a low-friction way to parse verbatims without exporting. Choose based on which workflow integrates best with your reporting cadence. (apps.shopify.com)

UserLoop alternatives?

1. Zigpoll, Delighted, Survicate and other Shopify-first survey apps are common alternatives. Choose based on capture points you need: on-site exit-intent and post-purchase favor Zigpoll or UserLoop, while CX scoreboard needs favor Delighted. For a broader list of platforms aimed at ecommerce, see Best Zero-party data platforms for ecommerce (2026).

Zigpoll alternatives?

1. UserLoop, Delighted, Survicate, Wootric. If your priority is pure post-purchase attribution, compare what each app can attach to the Shopify order object and how they export or push responses into your CDP. For feature-by-feature comparisons involving Zigpoll and other survey products, see Survicate vs SurveySparrow vs Zigpoll Compared.

Delighted alternatives?

1. Medallia, Qualtrics, and smaller CX tools like Wootric and Survicate depending on scale. If your need is a simple NPS/CSAT program integrated into support and product workflows, Delighted is often the least complex path; for full-text research and multi-channel zero-party capture paired with CX scoring, consider combining Delighted with an on-site capture tool.

Final note on selection and common team errors

1. Measure the right thing: decide whether you need attribution and product feedback immediately after purchase, or standardized CX scores across your customer base. Mixing both goals into a single survey increases complexity and reduces actionability.
2. Instrument for activation: capture customer identifiers and push them to your email/CDP, support queues, or product issue tracker so feedback turns into tasks, not just charts.
3. Run small experiments: start with 1 question on the thank-you page, measure response rate and downstream LTV impact, then expand. Over-surveying and poor segmentation are the two biggest mistakes teams make when adopting any of these tools.

Summary recommendation in brief

1. If you run a Shopify store and need an economical, multi-channel zero-party data platform that covers post-purchase, on-site, and exit-intent capture with straightforward pricing and friendly support, Zigpoll is the best overall fit for most merchants. (zigpoll.com)
2. Choose UserLoop when your priority is tight checkout/thank-you page integration plus AI-assisted writing and LLM analysis for post-purchase attribution. (apps.shopify.com)
3. Choose Delighted when your priority is a focused NPS/CSAT/CES program across email and SMS with many out-of-the-box integrations into support and analytics tools. (delighted.com)

This comparison highlighted measurable differences in channels, pricing approach, and integrations so product and growth teams can pick the tool that matches their capture points, analytic needs, and budget.

Related Reading

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