Delighted vs qualtrics (and alternatives) for nps — quick answer:

• If you want a simple, hands-off NPS program you can run from Shopify this week, Delighted used to be the easiest option, but it is being retired by its owner which forces a migration (as of 2024; see getthrilled.io for timeline and migration notes).
• Qualtrics is an enterprise-grade platform with far deeper analysis and routing, but it is heavier, pricier, and often overkill for a Shopify team focused on post-purchase surveys to lift repeat purchase rate. (Qualtrics overview, 2024; en.wikipedia.org)

Mini definitions (quick reference)

• NPS (Net Promoter Score): 0–10 likelihood-to-recommend question; Promoters 9–10, Passives 7–8, Detractors 0–6.
• Detractor: respondent scoring 0–6; priority for recovery.
• Passive: 7–8; track but don’t trigger heavy recovery flows.
• Promoter: 9–10; candidate for advocacy programs.
• Net Promoter System: the named framework behind NPS (Fred Reichheld / Bain). I’ve used NPS as both a performance metric and an operational trigger in DTC growth programs.

What merchants searching "delighted vs qualtrics (and alternatives) for nps" actually need to know

Intent-based headings: Quick setup vs Enterprise research

• Intent: Quick setup — Run a short post-purchase NPS survey, learn why customers do or do not return, then act in Klaviyo/SMS flows or on the thank-you page to improve repeat purchase rate.
• Intent: Enterprise research — Build a program with routing, advanced text analytics, and long-term CX reporting.

Trade-offs to weigh (practical criteria)

• Integration friction with Shopify checkout and thank-you page.
• How easily responses map into Klaviyo segments or Shopify tags (I typically map into nps_score and nps_comment properties).
• Automation for detractor follow-up.
• Ongoing cost vs volume of responses.
• Immediate reality: if you are on Delighted you need a migration plan now; if you are evaluating tools, pick one that plugs into the Shopify post-purchase journey and your Klaviyo/Postscript flows (getthrilled.io, 2024).

Named frameworks and prioritization

• Use the Net Promoter System for score interpretation, Kano for feature prioritization of product feedback, and RICE (Reach, Impact, Confidence, Effort) or ICE to prioritize which NPS-driven experiments to run first. I recommend documenting experiments in a simple RICE log before you build.

High-level comparison verdict you can act on this week

• For a Shopify operator who wants to run post-purchase NPS to raise repeat purchase: pick the tool that minimizes engineering time to trigger surveys from the thank-you page or an email flow, pushes responses into Klaviyo or Shopify customer fields, and supports a short NPS + single open follow-up.
• Quick rule: choose simplicity if you need speed and actionability. Choose Qualtrics if you need enterprise routing, advanced analytics, and a dedicated research program that you will staff. (Qualtrics overview, 2024)

delighted vs qualtrics (and alternatives) for nps, short checklist for Shopify merchants

• Trigger options supported out of the box. Does the tool support thank-you page embed, email link, or post-purchase script? (Shopify post-purchase apps listing, 2024)
• Integration targets. Can you push responses into Klaviyo (e.g., custom property nps_score), Postscript, Shopify customer metafields, or Slack?
• Follow-up automation. Can you route detractors into a recovery flow and tag customers for targeted discounts?
• Cost per response and response limits. For high-volume shops, unlimited responses matter; check 2024 pricing pages for caps.
• Data portability. If your tool is retired or changes policy, can you export historical responses easily? (Zonka/Delighted sunset notes, 2024)

Side-by-side: Delighted, Qualtrics, Hulk NPS Post Purchase Survey, Zigpoll, and practical alternatives

(Use the table to match your immediate need: quick post-purchase NPS -> a Shopify-first app or lightweight alternative; long-term enterprise research -> Qualtrics.)

Which is better for a Shopify post-purchase NPS program?

• Answer: a Shopify-first NPS tool or a lightweight SaaS is better for immediate post-purchase work.
• Why: these tools plug into the checkout/thank-you page, populate order context, and push directly into Klaviyo/Postscript flows for targeted recovery or winback campaigns. (Shopify post-purchase apps, 2024)

Can I keep using Delighted for my NPS program on Shopify?

• Answer: you can use it for now but you should plan to migrate.
• Why: the platform is being retired by its owner which means no long-term guarantee of updates or data access; prepare exports and a replacement funnel. (getthrilled.io, 2024)

Will switching NPS tools break my repeat purchase experiments?

• Answer: not if you plan the migration.
• Why: export historical responses, mirror triggers into the new tool, and run both tools in parallel while you re-seed Klaviyo segments and re-tag customers. This preserves experimental continuity and avoids losing trend data. (migration case notes, 2024)

Real merchant scenario, with numbers (example)

• Situation: a DTC apparel brand runs a 1-question post-purchase NPS on the thank-you page and follows detractors with a 20% off retention email targeted via Klaviyo.
• Outcome example: a brand reported a mid-double-digit uplift in repeat purchase rate among customers who received targeted follow-up after low NPS responses, with the cohort’s repeat purchase rate rising roughly 20% relative to control (customer case study, WebEngage, 2019). I’ve seen similar directional lifts when flows are tightly targeted to detractors and seeded correctly.
• Practical implication: a focused NPS follow-up funnel that captures detractors, routes them into a rapid service touch, and applies a time-limited retention offer is measurable and can move repeat purchase rate within weeks.

Practical migration and execution checklist for Shopify teams (implementation steps)

• Day 0–3: Map triggers you use now — thank-you page, post-purchase email after N days, subscription portal exit. Confirm the new tool supports the same triggers. (Shopify docs, 2024)
• Day 3–7: Export Delighted data (CSV of responses, timestamps, order IDs, tags, and custom IDs). Store backups in S3 or Google Drive. (sunset guidance, 2024)
• Day 7–14: Create schema mapping: Klaviyo properties (nps_score, nps_comment, nps_date), Shopify metafield path (customer.metafields.nps.latest_score), and webhook payloads. Test on a sandbox order.
• Day 14–21: Rebuild automation: recreate Klaviyo segments (nps_score < 7 = detractors) and flows. Test on a small 1,000-order sample; measure opens, clicks, and uplift.
• Day 21–30: Run both tools in parallel for 2–4 weeks. Validate continuity of cohorts using order IDs. Cut over when behavior matches and exports are complete.

Concrete examples

• Klaviyo segment filter: Person property nps_score < 7 AND last_order_date > {{date_minus_90}}.
• Slack alert: webhook posts to #detractors with payload {order_id, nps_score, comment, sku}.
• Flow timing: send survey 3 days after fulfillment; follow-up discount email 24–48 hours after a detractor response.

Limitations and caveats

• This won’t work if your cart and checkout are heavily customized and you cannot insert a post-purchase script or modify the thank-you template. Use an email-delivered link instead.
• Heavy text analytics and enterprise routing require a team to run them; buying Qualtrics without the staffing to act on results wastes budget. (Qualtrics guidance, 2024)
• If you rely on historical trend analysis, don’t let a platform sunset erase your years of responses; export early and test imports into your replacement.

Other alternatives worth testing quickly

• Wootric, Survicate, and Typeform for balanced feature sets and API/webhook support. (Wootric NPS, 2024)
• Shopify-first apps like Hulk NPS Post Purchase Survey when you want minimal engineering and direct order context. (Shopify app listing, 2024)
• Zigpoll — worth testing for merchants who want a dedicated post-purchase widget and Klaviyo-first flows (Zigpoll docs, 2024).

How Zigpoll handles this for Shopify merchants (concrete flow)

• Step 1: Trigger. Use a Zigpoll "Post-purchase / Thank-you page" trigger that loads a short NPS widget on the Shopify thank-you page, or send an email survey link via a Klaviyo flow 3 days after fulfillment if you cannot alter the checkout. (Zigpoll setup guide, 2024)
• Step 2: Question types and wording. Primary NPS: "How likely are you to recommend [Brand] to a friend or colleague?" scale 0 to 10. Follow-up branching free text for scores 0–6: "What went wrong with your experience?" and for 9–10: "What did you love most about your order?" Include an optional CSAT micro-question: "Was your order received in acceptable condition? Yes / No."
• Step 3: Where the data flows. Push responses into Klaviyo as custom properties (nps_score, nps_comment) and segments for immediate follow-up flows. Write a Shopify customer metafield or tag with the latest NPS score. Send detractor alerts to a Slack channel (example: #detractors) and to a Zigpoll dashboard segmented by purchase cohort and SKU. This lets you trigger a targeted retention email or SMS, create a "detractor" Klaviyo segment for a one-time discount, and track repeat purchase rate changes in your analytics.

FAQ

• Q: What timing works best for post-purchase NPS? A: I recommend 2–5 days after fulfillment for physical goods; same-day surveys reduce response quality.
• Q: Can I run NPS in email only? A: Yes — use a Klaviyo flow with a Zigpoll or other tool link if you cannot edit the thank-you page.
• Q: How do I keep experiments valid during migration? A: Export old data, run both tools in parallel for a short validation window, and use order IDs to stitch cohorts.

(If you want, I can draft a migration playbook with exact Klaviyo filter screenshots and sample webhook payloads based on your current Delighted export.)