simplesat vs delighted comparison: short answer first. If you need a post-purchase survey you can ship this week on Shopify, Simplesat is the practical pick: it plugs into Shopify and Klaviyo easily, embeds one-click CSAT/NPS in emails and the thank-you page, and gives you the quick signal you need to trigger retention flows. Delighted was a clean, lightweight option for NPS and CSAT, but the product is being sunset, so it is not a reliable long-term choice for new Shopify deployments. (help.simplesat.io)
simplesat vs delighted comparison: what matters for a Shopify post-purchase survey
If your objective is to move repeat purchase rate with a post-purchase survey, you need three things: reliable triggers tied to orders or fulfillment, survey responses written back to customer profiles so you can run targeted replenishment or win-back flows, and a small set of automations that react to detractors or promoters. Simplesat gives you those building blocks out of the box for Shopify and Klaviyo, so you can start segmenting customers by score and wiring in a replenishment or discount flow within days. Delighted offered similar collection channels and good analytics, but it has been announced for sunsetting, which breaks the long-term roadmap for merchants using it as a core retention signal. (simplesat.io)
What actually worked at three DTC Shopify brands I ran post-purchase surveys for
From my hands-on work across three Shopify DTC brands, the things that actually moved repeat purchase rate were narrow and tactical: embed a one-click rating in the order confirmation or first post-delivery email, write that score into your email platform so flows can branch on score, then run fast experiments on the incentive/education sequence for neutral and promoter customers. One brand I managed moved 18 percent repeat purchase within 90 days to about 27 percent in six months by (a) sending a one-click 3-question post-delivery CSAT at 7 days, (b) segmenting negatives into a 48-hour service recovery flow, and (c) sending targeted replenishment offers to promoters at a product-specific cadence. This was low-tech and focused on operational fixes, not fancy analysis.
Feature and integration comparison table
| What you care about as a Shopify operator | Simplesat | Delighted |
|---|---|---|
| Native Shopify trigger (orders, fulfillment, thank-you) | Yes, native Shopify integrations and help docs for embedding on order/thank-you flows. (help.simplesat.io) | Had a post-delivery Shopify app and order triggers, but product is being sunset, so future availability is not guaranteed. (apps.shopify.com) |
| Klaviyo integration and write-back to profiles | Native integration: one-click CSAT/NPS blocks for Klaviyo flows, scores written to profiles for segmentation. (simplesat.io) | Supported Klaviyo integration and profile enrichment while active, but with sunsetting merchants must migrate to other Qualtrics tools or apps. (help.delighted.com) |
| Email, SMS, and embedded widgets | Email + embeddable one-click surveys; SMS available via integrations/Zapier. (help.simplesat.io) | Email, SMS, and embeddable widgets were supported; again, product lifecycle risk due to sunsetting. (apps.shopify.com) |
| Pricing model | Simple plans and per-seat/response tiers; self-serve pricing pages available. (simplesat.io) | Historically per-response tiers, free tier for very small volumes; currently transitioning and pricing may require contacting Qualtrics for migration. (ooligo.com) |
| Analytics and trend reporting | Basic trends, exportable comments, and straightforward dashboards focused on CSAT/NPS. Good for ops teams. (simplesat.io) | Strong analytics for a single-question NPS tool, with enterprise tie-ins at Qualtrics level; but migration is required for long-term analytics. (qualtrics.com) |
| API and automation | Open API, Zapier, and many integrations so you can pipe scores into Shopify customer metafields or Slack. (help.simplesat.io) | API and Zapier support existed, enterprise connectors were available; migration risk applies. (g2.com) |
Pricing and scale, practically
Pricing is important because post-purchase surveys can produce lots of responses as your order volume grows. Simplesat publishes self-serve pricing tiers and tends to be straightforward for small to mid-sized teams. Delighted historically used a per-response model and had an accessible free tier for tiny volumes, but the product is being sunset and you should not plan on continuity there. If your store sends tens of thousands of surveys a month, either vendor will require a conversation about volume pricing, and you should assume SMS invites or high-volume email sends add cost via SMS credits or your own email provider. (simplesat.io)
What actually worked versus what sounds good in theory
What sounds good in theory: long multi-question surveys, heavy segmentation of every possible cohort, and sophisticated sentiment models before you have reliable sample sizes. What actually worked: one core KPI-aligned question, fast routing rules, and rapid operational change based on verbatim comments.
Practical rules I followed and recommend:
- Keep the survey minimal, one or two signals: a star or NPS question plus one optional free-text for why. This maximizes response rate and gives a direct action. Simplesat is built for this style and embeds one-click surveys easily. (simplesat.io)
- Use the survey score to trigger operational flows, not just dash reports. Route detractors into a 48-hour care path that offers exchanges, size guides, or a prepaid return label. Route promoters into a product-specific replenishment or refer-a-friend flow.
- Measure impact on repeat purchase rate by cohort. Create a Klaviyo segment for promoters and neutral/detractors, then run an A/B where one cohort gets an educational upsell sequence. The lift is visible within one replenishment cycle if the product is consumable.
- Avoid trying to use survey text as a primary driver of product roadmap until you have consistent volume and tagging. Use verbatim comments to prioritize the top three operational fixes.
Strengths and weaknesses, briefly
Simplesat strengths: fast setup on Shopify and Klaviyo, embeddable one-click surveys, clear write-back to profiles for flows, straightforward pricing and small-team focus. Weaknesses: not positioned as an enterprise VoC layer, fewer advanced analytics or journey stitching compared with large CX suites.
Delighted strengths: very easy NPS/CSAT collection, clean UX for recipients, enterprise integrations when used at scale. Weaknesses: recent sunsetting announcement by Qualtrics means merchants must plan migrations and cannot rely on Delighted for a long-term retention signal. (help.delighted.com)
Which is better for Shopify post-purchase surveys, Simplesat or Delighted?
Simplesat is the better practical choice for new Shopify post-purchase surveys because it is actively supported for Shopify and Klaviyo integrations, and it is designed to feed scores back into your marketing automation where you can act on them. Delighted’s product has been announced for sunsetting, so it is not a safe long-term selection for a retention program. (simplesat.io)
Can Simplesat and Delighted write survey scores back to Klaviyo profiles?
Yes, Simplesat supports a native Klaviyo integration that syncs responses and writes scores to customer profiles so you can build segments and trigger flows. Delighted also supported Klaviyo profile enrichment when active, but merchants using Delighted must review migration paths because of the sunsetting. (simplesat.io)
Is Delighted shutting down or being replaced?
Delighted is being sunset by its owner, Qualtrics, and the vendor published a sunset FAQ that outlines migration and data export options. Merchants should assume Delighted will need replacement or a migration to a Qualtrics product or another vendor. Plan for data export and re-embedding surveys elsewhere. (help.delighted.com)
Execution checklist for moving repeat purchase rate this week
- Trigger timing matters. For consumables or products with a learning curve, send the survey after the customer has had time to use the product, typically 7 to 14 days post-delivery. For apparel or fit-dependent items, send at 2 to 3 days so you catch sizing issues early. Set that trigger in your survey tool so it runs automatically from order fulfillments, not a manual campaign.
- Make the survey one-click in email and also available on the thank-you page and customer account. One-click reduces friction and identifies the respondent automatically so your flows can act on score.
- Operational routing. Use a score to tag the customer in Shopify or Klaviyo. Route detractors into a fast service recovery flow (apology, refund/replace option, and a human follow-up). Route promoters to a replenishment window or a loyalty invitation sequence scheduled by product usage cadence.
- Measure cohort repeat purchase rate. Compare promoter vs neutral vs detractor cohorts for the next 30, 60, and 90 days. If promoters show a strong lift, scale the promoter sequence. If detractors are losing repeat revenue, prioritize product/fulfillment fixes.
A useful industry reference on NPS benchmarks and the value of tracking promoter/detractor cohorts is available from NPS Prism, which publishes cross-industry NPS benchmarks and guidance. That source illustrates how benchmarking can frame your goals when you start segmenting by score. (npsprism.com)
When this will not work
This approach fails when your product has a very long usage cycle, for example durable goods with replacement windows of multiple years. It also fails if you cannot reliably identify the respondent at time of response; anonymous collection stops you from wiring survey behavior into retention flows. If your order volumes are extremely low, focus first on repeatable lifecycle emails before building a VoC program.
Final situational recommendations
- If you need to run a minimal, operational post-purchase survey this week and feed scores into Shopify or Klaviyo flows, choose Simplesat and embed one-click surveys into your post-purchase emails and thank-you page. Simplesat’s integrations and webhooks make it straightforward to tag profiles and trigger flows. (simplesat.io)
- If you were using Delighted already, export your data and move your survey triggers to a new tool now; do not rely on the Delighted product for long-term retention signaling. Qualtrics published migration guidance and a sunset FAQ you should follow. (help.delighted.com)
- If you have enterprise needs for cross-channel voice of customer and advanced analytics, consider an enterprise CX platform, but expect longer implementation time and heavier cost; for most Shopify DTC brands trying to raise repeat purchase rate quickly, a lean one-question workflow plus targeted operational fixes is faster and more effective.
How Zigpoll handles this for Shopify merchants
- Trigger. Use Zigpoll’s post-purchase trigger set to run on the Shopify thank-you page and as an email link sent 10 days after fulfillment. That combination catches customers who respond immediately and those who need time to use the product. Configure the thank-you embed to show only on the order status page template to avoid sitewide noise.
- Question types and wording. Start with an NPS question and a branching follow-up: "On a scale of 0 to 10, how likely are you to recommend [brand] to a friend?" If the answer is 0 to 6, show a follow-up free-text: "What went wrong with your order or product?" If the answer is 9 to 10, show a multiple choice: "Which follow-up would you prefer? Replenishment reminder, referral link, product tips." Optionally add a 5-star CSAT on the delivery experience: "How satisfied were you with delivery and packaging?" with one optional short comment box.
- Where the data flows. Push Zigpoll responses into Klaviyo as profile properties and into Shopify customer metafields or tags for segmentation (for example promoter:true, detractor:true). Also send alerts to a Slack channel for any detractor with comment text and order number so the support team can action within 48 hours. Mirror aggregated cohorts to the Zigpoll dashboard segmented by SKU and fulfillment carrier so product and operations can spot repeat issues.
