Imagine you shipped a new bundle on Shopify, you want to know if buyers loved it enough to buy again, and you need an NPS workflow that actually changes repeat purchase rate. For a quick answer to qualtrics vs delighted vs surveymonkey nps: Delighted was the fastest, lowest-friction NPS tool for simple post-purchase sends but it has been retired; SurveyMonkey is a flexible, mid-market survey platform you can embed via links or middleware; Qualtrics is an enterprise-grade Experience Management system that can run deep NPS programs and close the loop, but it costs more and takes longer to implement. For a DTC Shopify operator focused on post-purchase surveys tied to repeat purchase rate, pick the simplest tool that hooks into Shopify, Klaviyo or Postscript, and your customer-data layer quickly; only move up to Qualtrics if you need multi-touch CX programs and advanced analytics across many channels. (ooligo.com)
Quick choice for a Shopify post-purchase NPS program: qualtrics vs delighted vs surveymonkey nps
Picture this: you want a single post-purchase NPS question on the thank-you page, responses to create Klaviyo segments, and low-score buyers to trigger a human follow-up within 24 hours. If you need that live this week, Delighted used to be the obvious pick for speed and simplicity, but it is no longer available and customers were forced to migrate. SurveyMonkey will get you running quickly if you accept using links or Zapier to move data into Shopify or Klaviyo. Qualtrics will handle advanced routing, predictive drivers, and enterprise reporting when you need to link NPS across touchpoints and teams, but it requires procurement, setup, and more implementation time. (ooligo.com)
Side-by-side: how these three compare for a post-purchase survey aimed at increasing repeat purchase rate
Below is a practical comparison focused on what a Shopify DTC operator needs: deploy speed, Shopify-native hooks, closed-loop follow-up, analytics tied to repeat purchases, and price expectations.
| Dimension | Delighted (note) | SurveyMonkey | Qualtrics |
|---|---|---|---|
| Status | Retired; no longer available for new use. | Active, self-serve survey builder, NPS templates. | Enterprise Experience Management platform, full NPS capabilities. (ooligo.com) |
| Speed to shipping on Shopify | Historically minutes to hours; not available now. | Hours to a day if you embed a link in thank-you page or email; needs middleware for automation. (ooligo.com) | Days to weeks for a simple program; longer for multi-channel or integrations. (revops.tools) |
| Shopify-native hooks | N/A | No dedicated Shopify app; rely on Zapier, web links, or back-end connectors. (zapier.com) | API-first and enterprise connectors; can integrate into Shopify workflows via middleware or engineering. (sec.gov) |
| Closed-loop automation (alerts, routing) | Simple out-of-box routing historically. | Available via exports, webhooks, Zapier; not purpose-built for CX orchestration. (zapier.com) | Built for automated routing, action plans, text analytics, and executive dashboards. (marketing-prod.qualtrics.com) |
| Analysis & text analytics | Minimal | Basic reporting; add-ons and exports for analysis. | Advanced driver analysis, text analytics and predictive insights. (pt.surveymonkey.com) |
| Cost & procurement | Low historical price, self-serve; product retired. | Entry-level pay-as-you-go, accessible to small teams. (pt.surveymonkey.com) | Higher TCO, quote-based, sold to mid-market and enterprise buyers. (revops.tools) |
| Best fit for a Shopify DTC post-purchase program | Historic reference: best when you needed a single-question NPS fast; migrate off now. | Best when you want a mid-market, self-serve survey that can feed flows with Zapier or a data pipeline. (ooligo.com) | Best when you must connect NPS across channels, analyze drivers, and run organization-wide CX programs. (qualtrics.com) |
Use this table to map your current need. If your goal is to raise repeat purchase rate with a focused hypothesis and a Klaviyo flow that reacts to low NPS, SurveyMonkey plus Zapier or a server-side integration will usually get you to a working funnel faster than buying enterprise software.
How the Delighted shutdown affects your choice and your historical NPS data
If you used Delighted, you must treat the series break as real: historical NPS records inside Delighted may no longer be accessible, and any webhook or Zapier that pointed at Delighted needs cleanup. That means your trend line will have a gap unless you exported responses and re-ingested them into your new system. The recommended migration path is to export raw responses, preserve the exact question wording, and annotate the migration date in all reports so repeat purchase trends are not misread as behaviour changes. (ooligo.com)
Practical checklist: what a Shopify operator actually needs from an NPS tool
Imagine you are the head of retention at a DTC brand selling consumables with a subscription option. You want to reduce the time-to-second-purchase and lift a repeat purchase rate that sits below category benchmarks. At minimum your tool must:
- Trigger on a Shopify thank-you page, or via an order-confirmation email/SMS, with the buyer and order id attached so you can map responses back to customers.
- Push low-scoring customers into a Klaviyo segment or Postscript audience for a human follow-up or an automated win-back sequence.
- Let you export or stream responses to Shopify customer metafields or your data warehouse for cohorting by SKU, acquisition source, and shipping region. If your vendor cannot do those three things without an engineering project, it will not move repeat purchase rate quickly. SurveyMonkey can do the job with middleware; Qualtrics can do it natively with enterprise connectors; Delighted used to do it quickly but is no longer available. (zapier.com)
Which of these will move repeat purchase rate fastest for a Shopify DTC brand?
Short answer: the cheapest, fastest-to-deploy option that actually routes responses into your lifecycle flows. For most Shopify operators that means a link-based NPS survey tied into Klaviyo or Postscript via Zapier, with a follow-up flow that addresses common reasons for not reordering, such as wrong size, confusing usage instructions, or lack of visible replenishment options. When you run the survey, design one hypothesis: if detractors cite "fit unclear" as the top reason, test a PDP update plus a targeted follow-up email offering a sizing guide; measure repeat purchase cohort conversion after 30 days. Several merchants reported lift in repeat purchase after this sort of targeted program, with one example reporting a move from an 18 percent to a 27 percent repeat purchase rate after rebuilding post-purchase flows and segmentation. (zigpoll.com)
Pricing reality and hidden costs
Do not buy on sticker price alone. Cheap tools can cost more in staff time if they do not integrate cleanly with your Klaviyo flows, subscription portal, or returns process. Enterprise platforms reduce manual work but require setup time and often a contract. If your team needs to build custom event payloads in your back end to pass order id and SKU to the survey tool, add engineering hours to the cost calculation.
People also ask
Which is better for NPS: Qualtrics, Delighted, or SurveyMonkey?
Delighted used to be the fastest and simplest option, but it has been retired; SurveyMonkey is a flexible, self-serve option suitable for mid-market teams that can wire responses into Shopify via Zapier or server-side hooks, while Qualtrics is best for enterprise programs that need advanced analytics and cross-channel orchestration. (ooligo.com)
Can I run a post-purchase NPS survey on Shopify with SurveyMonkey?
Yes, you can run a post-purchase NPS survey with SurveyMonkey by placing a survey link on the Shopify thank-you page or sending an order-confirmation email that contains the link, and by using Zapier or a webhook to sync responses into Klaviyo, Shopify customer tags, or your data warehouse for segmentation and flows. (zapier.com)
How quickly can I deploy an NPS post-purchase survey to improve repeat purchase rate?
You can be live with a link-based NPS on a thank-you page or email within a day if you use SurveyMonkey and Zapier, but expect one to two weeks to validate flows, map responses to customer records, and run an initial experiment that measures effect on repeat purchase rate; enterprise implementations with Qualtrics typically take longer. (zapier.com)
Example sequence a Shopify operator can ship this week
Picture a three-step experiment you can run from Monday to Friday:
- Question and trigger: Add a brief NPS link on the Shopify thank-you page that includes order id, SKU, and email. The NPS ask is the single question plus a short follow-up: "On a scale of 0 to 10, how likely are you to recommend us to a friend?" Follow-up: "What stopped you from giving a higher score?".
- Routing: Use Zapier to push responses into Klaviyo. Create two segments: Detractors (0-6) and Promoters (9-10).
- Actions: For detractors, trigger a Klaviyo flow that sends a personalized apology + discount or support link within 24 hours, and tag the Shopify customer so CS can triage. For promoters, trigger a "Refer a friend" email 3 days later. Measure cohort repeat purchase rate at 30 days, compare to a control group that did not receive the flow.
This pattern is repeatable and will reveal whether the survey is an insight generator or merely a box checked on an experience playbook.
Caveats and limitations
This method will not work if your sample size is tiny, if you cannot reliably map responses to customer IDs, or if your follow-up flows are generic and slow. Also, switching survey vendors breaks NPS trend continuity, so annotate migration dates in dashboards and, if possible, re-run the exact question wording in the new system to preserve comparability. If your product category has long repurchase intervals, expect longer test windows and use leading indicators such as engagement, coupon redemption, and subscription sign-up rate instead of only second-order purchases. (ooligo.com)
How Zigpoll handles this for Shopify merchants
- Trigger: Use a Zigpoll post-purchase thank-you page trigger that fires immediately after checkout confirmation, with order id and line items in the payload; fallback to an email/SMS link sent 48 hours after order for non-responders. This ensures you capture both immediate impressions and those that arrive after product use.
- Question types and wording: Start with an NPS question as the primary KPI: "On a scale of 0 to 10, how likely are you to recommend [brand] to a friend?" Add a branching free-text follow-up for detractors: "What could we do to make your next purchase better?" Optionally include a multiple-choice reason selector for quick tagging: "Which of these best describes your experience: fit, quality, shipping, price, other."
- Where the data flows: Send Zigpoll responses into Klaviyo to drive segmentation and flows, write the NPS score and latest free-text to Shopify customer metafields or tags for order-level context, and stream low-score alerts into a Slack channel or the Zigpoll dashboard so CS or the founder can act within 24 hours. This setup maps survey signals directly into the flows that influence repeat purchase behavior, such as a targeted coupon for detractors, replenishment reminders for promoters, and product page copy fixes driven by aggregated verbatims.
This closing sequence keeps the experiment operational: trigger, short survey, and immediate routing into the systems your team already uses to move repeat purchase rate. (zapier.com)
