Delighted surveys are a lightweight NPS, CSAT and single-question feedback product that many merchants used to run quick post-purchase checks; today, the brand called Delighted has been officially sunset by its owner, so it is no longer a long-term choice for Shopify stores. For a Shopify DTC operator focused on moving repeat purchase rate, the practical question is not which product is objectively best, it is which tool gives you the right collectors, routing, and flows you can ship this week to link post-purchase signal to retention actions.

delighted surveys, defined for a Shopify DTC operator

If you searched "delighted surveys" you are looking for a simple way to capture NPS, CSAT or a single follow-up question from buyers right after purchase. Delighted was built for quick one-question distribution across email, SMS, in-app and thank-you-page collectors, with straightforward score aggregation and verbatim capture for follow-up. The product also provided direct integrations into Shopify, Klaviyo and Slack so merchants could attach scores to orders and customers for lifecycle actioning. (help.delighted.com)

Note the operational reality for merchants: the Delighted product has been sunset by its parent company, and the official support and access timeline ends with the platform shut down; migration and data export guidance was published by the vendor. If you are evaluating Delighted today, treat it as deprecated and plan migration or an alternative implementation. (help.delighted.com)

Which NPS survey software wins for Shopify DTC merchants: Delighted, Qualtrics or Nicereply?

Short answer: for a hands-on Shopify operator trying to raise repeat purchase rate via post-purchase surveys, Nicereply tends to win for affordable operations that tie to support and order data; Qualtrics wins if you have an enterprise research team and need deep analytics and automated enterprise workflows; Delighted is no longer a viable long-term option because it was sunset and access is ending. Nicereply offers easy helpdesk and API integrations to route NPS into operational systems, Qualtrics offers enterprise-grade XM tooling and full experience management at scale, and Delighted was the simple middle ground that is now being retired. (nicereply.com)

What that means to you this week: if your goal is to move repeat purchase rate and you need something you can ship and measure within days, choose a collector and routing pattern that plugs into Shopify and your Klaviyo/Postscript flows. Qualtrics can do this at scale but usually requires more implementation time and budget; Nicereply and other lightweight collectors are faster to implement for post-purchase use cases.

The practical trade-offs, in plain terms

• Simplicity and speed, with Shopify-native thank-you page collectors and direct Klaviyo sync: what Delighted used to offer, but now you should choose an alternative tool that provides the same collectors and exports. (help.delighted.com)
• Helpdesk and support-triggered NPS, routed into case workflows: Nicereply is optimized for this pattern, and it supports many helpdesk integrations plus Zapier and APIs. (nicereply.com)
• Enterprise analytics, complex sampling and outcome orchestration: Qualtrics can close the analytics-to-action loop, but the cost and setup are higher; it is best when you have a dedicated CX or analytics function. (qualtrics.com)

Problem: most Shopify stores collect feedback but fail to connect it to retention actions You likely already have a thank-you page, a Klaviyo flow, and a returns flow; yet many merchants treat post-purchase surveys as a reporting exercise instead of a trigger for lifecycle campaigns. The operational gap is this: if a detractor is not routed into a follow-up flow or labeled in Shopify customer data, that score never affects customer-level retention measures like replenishment reminders, win-back coupons or improved returns handling.

Quantifying the pain

Direct-to-consumer cohorts show low second-purchase frequency as a common constraint on growth; cohort analyses from merchants and platform studies put average repeat purchase rates for many DTC stores in the high single digits to low twenties percent range, depending on vertical and product repeatability. Benchmark figures used by platform reports show many DTC merchants have a baseline repeat purchase rate under 20 percent, which means modest improvements can produce meaningful revenue impact. (shopify.com)

Diagnosing root causes for low repeat purchases tied to poor post-purchase feedback flow

• Signal friction: surveys emailed weeks after purchase capture weaker sentiment and much lower response rates than a thank-you-page prompt. Many merchants do not capture product-level context, so verbatims cannot be mapped to the SKU or fulfillment batch.
• Action friction: teams collect NPS and sit on a spreadsheet rather than tag customers or trigger flows that attempt recovery or encourage repurchase.
• Incentive and timing errors: asking multi-question surveys without a strong incentive or showing them at the wrong time reduces response rates and raises sample bias.

Solution overview: a compact, measurable post-purchase survey program you can ship this week Objective: capture a clear post-purchase signal, attach it to the order and customer, and use it to drive two short retention plays: (A) convert satisfied customers into replenishment or cross-sell flows, and (B) convert detractors into recovery flows that preserve lifetime value.

Implementation steps you can complete in seven days

1. Collector and timing: add a one-question collector on the Shopify thank-you page and a follow-up email collector 48 to 72 hours after delivery for those who did not respond. Thank-you page impressions convert at markedly higher rates than a delayed email. Keep the in-page survey to one question to maximize completion. Use an on-site collector if you run subscriptions or consumables where someone might buy again on a predictable cadence. (thankify.co)

2. Question set and wording: for repeat purchase objectives use NPS as the primary signal plus one short follow-up. Example:

   • NPS: "How likely are you to recommend our 12-inch skillet to a friend?" (0 to 10 scale)
   • Follow-up (conditional): For scores 0 to 6, show "What went wrong with this order?" For scores 9 to 10, show "What did you like most about your purchase?" Keep the free-text limit short; merchants read verbatims weekly and tag themes.

3. Tagging and routing into lifecycle flows: sync responses to Klaviyo and Shopify customer tags. Create three segments in Klaviyo: Detractors (0-6), Passives (7-8), Promoters (9-10). For detractors, trigger a two-step recovery flow: immediate outreach email offering support or return assistance, then a one-time coupon if needed; for promoters, trigger a replenishment or cross-sell series targeted around typical reorder windows. Delighted offered a similar routing model when it existed; replicate it with your new tool and Klaviyo. (delighted-help-160b834b9adfde78ebef1528.helpscoutdocs.com)

4. Measure the impact: run a 90-day cohort test, comparing repeat purchase rate for respondents who were routed into flows against a matched control of non-responders. Track time-to-second-purchase and revenue per recipient; aim for an absolute repeat-rate lift that justifies the coupon cost. Use Shopify customer cohorts and Klaviyo revenue per recipient to measure lift.

One concrete example

Example scenario: a DTC skincare brand piloted a thank-you NPS question on the Shopify thank-you page, routed detractors to a 3-day support flow and promoters to a 30-day replenishment reminder. Baseline repeat purchase rate for the cohort was 18 percent; after six months the test cohort showed a 9-point lift to 27 percent for the group that responded and received targeted flows, delivering net positive margin after coupon costs. This illustrates the order of magnitude results small, tactical changes can produce when the survey is short, routed, and actioned.

What can go wrong and how to mitigate it

• Low response rates and sample bias, especially for email-only collectors: use the thank-you page collector first, and use a small incentive or entry prize sparingly for critical questions to raise participation. Expect un-incentivized email NPS to produce low single-digit response rates unless you already have a very engaged base. (gojiberry.app)
• Mis-tagging and duplicated customer records: require matching email/order ID when recording responses so the score attaches to the correct Shopify customer account.
• False causality: do not assume all lift comes from surveys; run a controlled cohort test and check for confounding promotions or ad changes.

Three merchant FAQ style questions merchants often ask

What are delighted surveys?

Delighted surveys are single-question feedback collectors for NPS, CSAT and CES optimized for rapid deployment across email, SMS and on-site collectors; historically they were popular with small teams for their low-friction setup and integrations. The Delighted product included simple reporting and connectors to Shopify and Klaviyo, but the official product has been sunset by its owner and merchants must migrate to alternatives. (help.delighted.com)

Can I use NPS on the Shopify thank-you page to increase repeat purchases?

Yes, an NPS prompt on the Shopify thank-you page captures sentiment while the purchase is fresh and typically produces higher completion rates than delayed email; tie the response to customer tags and Klaviyo flows and then measure time-to-second-purchase and cohort repeat rate to prove impact. (thankify.co)

How do I migrate feedback if my data was in Delighted?

Export historical scores and verbatim using Delighted's export paths and import them into your new provider or into Shopify customer metafields and Klaviyo profiles before the sunset finalization; the vendor provided specific export instructions and a sunset timeline you should follow. (help.delighted.com)

How to measure success, and what counts as a win

Short-term success metrics: response rate, percent of responses linked to Shopify customer records, and number of detractor recovery flows completed. Business success metrics: change in repeat purchase rate for the cohort, difference in revenue per customer at 90 days, and decrease in return-related complaints tied to the post-purchase insights. Use an A/B or matched-cohort approach, and require at least several hundred responses or a power calculation before claiming statistical significance.

Caveat This approach works best for consumable and frequently repurchased products; for durable goods with long purchase cycles the repeat purchase signal will be noisy and slow, and your incentives and cadence should reflect expected replenishment intervals. Also accept that NPS is a directional signal; you need cross-tabbed analysis by SKU, shipping batch and acquisition channel to turn a single-score program into reliable product or ops fixes. (qualtrics.com)

How Zigpoll handles this for Shopify merchants

1. Trigger: Use Zigpoll’s Shopify thank-you-page collector as the primary trigger, with a 48–72 hour follow-up email link for non-responders; alternatively add an on-site widget to the account page for returning customers and an SMS link sent via Postscript 7 days after delivery for high-value orders.
2. Question types and exact wording: a) NPS single-item: "How likely are you to recommend our [product name] to a friend?" (0 to 10). b) Conditional follow-up, free text for detractors: "What could we do to improve this order?" c) Short multiple-choice for operational routing: "What was the main issue with your order? Select one: Packaging, Fit/Size, Delivery, Product Quality, Other." Use branching so detractors see the free-text box and promoters see a replenishment opt-in.
3. Where the data flows: sync responses into Klaviyo customer profiles and segments (create Detractor, Passive, Promoter segments), write a Shopify customer tag or metafield with the score for order-level joins, and push alerts into a Slack channel for product and ops teams; Zigpoll’s dashboard then shows segmented trends by SKU and acquisition source so you can monitor repeat-rate lift by cohort.

References and sources used in this analysis include the Delighted sunset notice and migration instructions from the vendor, product integration documentation showing Shopify and Klaviyo connectors, Nicereply feature pages, and industry benchmarks for repeat purchase behavior and survey response tendencies. (help.delighted.com)