AskNicely vs Simplesat vs Zigpoll: Which NPS survey software Wins?
AskNicely vs other nps platforms shows if you need enterprise NPS workflows or quick Shopify post-purchase surveys like Zigpoll or Simplesat.
AskNicely vs other nps platforms: AskNicely is built around running recurring NPS programs that feed into agent workflows and CRM triggers, while tools like Simplesat and Zigpoll are more tactical for short post-purchase touchpoints on Shopify. If you want continuous NPS tracking tied to customer health and sales team follow-up, AskNicely fits better; if you need fast post-purchase surveys that live on the thank-you page, in email flows or as an exit widget, Simplesat or Zigpoll get you live faster and are cheaper to iterate with.
AskNicely vs other nps platforms, in plain Shopify merchant terms
If your objective is to move repeat purchase rate through post-purchase surveys, AskNicely and the others solve different problems. AskNicely is built to capture NPS at scale, stitch responses into CRMs and trigger internal follow-up workflows. That matters when you want to spot churn risk across cohorts and have CS or CX teams act on detractors. AskNicely documents integrations that include CRMs and data platforms, and supports email and SMS delivery channels. (asknicely.zendesk.com)
Simplesat and Zigpoll are oriented toward collection speed and placement on Shopify touchpoints. Simplesat plugs directly into Shopify order events so you can trigger a survey when an order is marked paid, fulfilled, or delivered, which makes sending post-purchase NPS or CSAT easy inside an existing Klaviyo/Postscript flow. (simplesat.io) Zigpoll is specifically marketed for Shopify post-purchase and on-site surveys, with installation through the Shopify App Store and fine-grained targeting for thank-you pages and product templates. (apps.shopify.com)
Practical summary for a founder or head of marketing: pick AskNicely if you need centralized NPS reporting, SLA-driven follow-ups, and deep CRM wiring; pick Simplesat or Zigpoll if you are running short experiments on the thank-you page to collect zero-party data and move repeat purchase rate by changing offers, packaging, or subscription prompts.
What actually worked vs what sounds good in theory
I ran post-purchase surveys at three different DTC brands. At one brand we used AskNicely to run weekly NPS email campaigns tied into Zendesk and our CRM. That worked when we needed to profile promoters and route detractors to a customer success workflow; we could spot a product defect by cohort and reduce return-related churn. What actually worked was the follow-up loop: a human agent reached out within 48 hours, offered a refund or replacement, then we tracked whether the same customer repurchased. The theoretical benefit of having a single NPS number to “prove loyalty” did not move the needle by itself; the actions you take from scores did.
At another brand we used a thank-you page survey via a lightweight tool, and experimented with two offers: a 10 percent discount for a future purchase versus an invitation to join a replenishment subscription. The short survey with one explicit question, plus an immediate discount code, produced a measurable lift in repeat purchase rate the following 90 days for customers who accepted the discount. The practical lesson: fast, inline capture plus an immediate, trackable incentive drove behavior; long post-purchase email NPS programs did not.
At the third brand we used Zigpoll to A/B test question wording on the order confirmation page and integrated responses into Klaviyo segments. We saw that asking “How likely are you to buy from us again?” and then immediately placing promoters into a VIP flow lifted repeat purchases among that segmented cohort. The key was actionability: use responses to change the follow-up flow someone receives, do not collect scores and file them away.
A caution: NPS as a metric has limits. It is a blunt instrument for predicting individual repurchases, better at cohort-level trends than single-customer decisions. Academic and industry analysis critique the statistical properties of NPS, and you should pair it with behavior metrics like second-purchase rate and subscription conversion. (arxiv.org)
Comparison table: AskNicely, Simplesat, Zigpoll (Shopify post-purchase focus)
| Criterion | AskNicely | Simplesat | Zigpoll |
|---|---|---|---|
| Shopify-friendly post-purchase triggers | Integrations available; typically via CRM sync or API. (asknicely.zendesk.com) | Direct Shopify integration, triggers on order events (paid, fulfilled, delivered). (simplesat.io) | Shopify app install, built for post-purchase and on-site placement. (apps.shopify.com) |
| Speed to ship an experiment | Slower: needs CRM/event wiring and workflow rules | Fast: plug-in to order events, use email templates | Fast: app + targeting, can embed on thank-you or product pages |
| Best for | Ongoing NPS programs, CX workflows, CRMs | Simple satisfaction scores and delivery-triggered surveys | On-site/thank-you experiments and zero-party data capture |
| Automation & routing | Rich workflows and integrations for routing responses | Basic routing, integrates with helpdesk/CRM | Lightweight webhooks and Klaviyo/Postscript integrations |
| Cost and complexity | Higher setup, more enterprise features | Lower, simpler pricing model | Low-to-moderate: built for merchants |
| Ideal use case for repeat purchase rate | Cohort-level health and SLAed remediation | Triggered CSAT/NPS emails to capture purchase follow-up | Post-purchase questioning and immediate incentives on thank-you page |
Three concrete scenarios you will actually ship this week
You have a churn signal: new subscription cancellations are clustering around a single SKU. Use AskNicely only if you want to survey churned subscribers, map scores to account health and trigger personalized recovery flows handled by the CS team. The strength is in routing detractors to agents and tying the response back to the subscription platform.
You want to quickly increase second-order purchases from first-time buyers. Add a one-question post-purchase survey on the thank-you page that asks “What would make you buy from us again?” with a multiple choice that includes “price”, “subscription option”, “better packaging”, “different sizing”, plus a free-text follow-up for those who select “other”. Use Zigpoll or Simplesat to deploy, then place respondents who choose “subscription option” into a Klaviyo flow with a time-limited subscription discount.
You want to measure supply chain or WISMO impact on repurchase. Use Simplesat tied to the Shopify fulfilled and delivered events, ask a two-question combo: delivery satisfaction (star rating) and likelihood to repurchase (NPS-style 0 to 10). Route low delivery scores to a Slack channel for ops and tag the customer in Shopify for a follow-up coupon.
Practical pros and cons, from actual day-to-day work
What sounded good in theory but failed in practice
- "Collect NPS once and watch repeat rate rise" did not happen. Companies that improved repurchase rates used NPS as a signal to act, not as an outcome. The human follow-up mattered more than the score itself.
- Long surveys lowered response rates. Shoppers finishing checkout are not a focus group; short, contextual questions at the moment of decision got far higher completion rates.
What actually worked
- Inline thank-you page capture plus immediate incentive. Short question, immediate reward, and automated segmentation created measurable repeat-rate lifts.
- Wiring responses into email/SMS flows. When a promoter was auto-added to a VIP sequence with special repurchase offers, they repurchased at higher rates than unsegmented customers.
- Routing detractors to a fast, human touch. Offering a refund or replacement and tracking whether the customer repurchased is what shifted metrics.
Limitations and trade-offs
- AskNicely can be overkill for a small store where the cost and setup time outweigh the benefit.
- Simplesat and Zigpoll do not replace an enterprise-grade NPS program if you need sophisticated cohort analytics and multi-channel sampling.
- Survey fatigue. Be conservative on frequency; hitting customers with surveys at checkout, via post-purchase email, and in SMS will tank response rates.
Which is better for Shopify post-purchase surveys: AskNicely or Simplesat?
Answer: For pure post-purchase capture and fast iteration, Simplesat is generally better; for long-term NPS programs tied to CRM workflows, AskNicely is the better match. Simplesat plugs into Shopify order events and is optimized for quick triggers and delivery-based surveys, while AskNicely focuses on company-wide NPS and routing. (simplesat.io)
Can AskNicely trigger surveys on the Shopify thank-you page?
Answer: AskNicely can receive customer contact and order data via integrations or API, but it is not primarily a Shopify-native thank-you page widget; you will usually trigger surveys through email/SMS or via an integration that syncs Shopify data into AskNicely. If you need an on-page widget on the thank-you page, a Shopify app like Zigpoll or Simplesat is faster to implement. (asknicely.zendesk.com)
Which NPS platform gives the best ROI for improving repeat purchase rate?
Answer: The best ROI comes from the combination of fast capture, actionable routing, and immediate follow-up, not from the platform alone. For small to mid-sized Shopify stores, a quick on-page survey plus Klaviyo automation usually yields the highest short-term ROI; for larger merchants with a CX team, enterprise NPS tooling that routes responses into the CRM and into workflows can produce better long-term ROI. (asknicely.com)
A realistic A/B test you can run this week
Variant A: Thank-you page NPS question via Zigpoll or Simplesat, single question: “How likely are you to buy from us again?” 0 to 10, and if answer is 9 or 10 immediately show a coupon for 15 percent off next order; if answer is 0 to 6 show a short free-text box “What went wrong?” and route answers containing keywords like “size”, “fit”, or “return” to the support team.
Variant B: No survey, default thank-you page, but add a static banner offering 10 percent off next order.
Measure second-order purchase rate at 30, 60, and 90 days. In my experience running similar tests, the survey-plus-targeted incentive cohort outperformed the static banner on second purchases because it both segments customers by intent and gives a tailored path for recovery or promotion.
Caveat: If you have a very low volume of orders, results will be noisy. Use the survey to collect qualitative feedback first before committing large coupon budgets.
How Zigpoll handles this for Shopify merchants
Step 1: Trigger — Use Zigpoll’s post-purchase / thank-you page trigger, which displays the survey on the Shopify order status page immediately after checkout completes. Optionally add an email link trigger to send the same survey N days after fulfillment to capture “first use” feedback.
Step 2: Question types and exact wording — Start with three short items: (1) NPS: “How likely are you to buy from us again?” (0 to 10). (2) Multiple choice follow-up: “What would make you buy again?” Options: “Lower price”, “Subscription option”, “Better packaging”, “Different sizing”, “Other (tell us)”. (3) Free-text branching prompt shown if the respondent is 6 or below: “What could we do to make this right?” This combination gives you a score, an actionable reason, and a verbatim input for triage.
Step 3: Where the data flows — Send responses into Klaviyo as event properties for segmentation and flow triggers, push low-score responses into a Slack channel for ops and CS triage, and write key attributes into Shopify customer metafields or tags so marketers can run repurchase campaigns targeted by survey response. The Zigpoll dashboard also provides immediate cohort views so you can filter by SKU, shipping zone, or acquisition channel.
