25 Post-Purchase Survey Questions That Actually Get Answered

Most stores treat the post-purchase survey like a suggestion box: a wall of questions, a vague "tell us how we did," and a 4% completion rate. The customer who just bought from you is right there, attention fully on the screen, and you ask them to write an essay. They bounce.

The fix isn't a better tool. It's better questions. Below are 25 post-purchase survey questions that get answered, grouped by what you're actually trying to learn, plus the exact OrderSurvey question type to use for each one. None of this is filler. Every question here has a job.

Why short, specific questions win

A survey question competes against the customer's instinct to close the tab. You win that competition by making the question cost almost nothing to answer.

Two rules do most of the work:

• One tap beats one sentence. A 5-star rating or a single-select list gets answered far more often than an open text box. Reserve typing for the moments where the words are the whole point.
• Specific beats broad. "How was your experience?" produces shrugs. "How did the sizing compare to what you expected?" produces a usable answer, because the customer knows exactly what you're asking and why.

Vague questions feel like work because the customer has to figure out what you want before they can respond. Specific questions hand them the frame. That's the entire difference between a survey people finish and one they abandon.

Pick one primary question first

Here's the discipline almost nobody applies: decide on the single most important thing you want to learn, and make that your first question. Everything else is secondary.

Why? Because response quality drops with every question. If attribution is your priority this quarter, "How did you hear about us?" goes first, before NPS, before product feedback. If you bury it on page three, you'll get attribution data from only the customers patient enough to get there, and that's a biased sample.

So before you write anything, finish this sentence: "If I only got an answer to one question, it would be ___." Build outward from there. (Our complete guide to post-purchase surveys walks through how to match that primary question to where the survey lives, since the thank-you page and order status page suit different goals.)

The questions, grouped by goal

Attribution: where customers actually come from

Pixels stopped seeing most of the journey after iOS privacy changes. Asking directly is now the most reliable read you have on which channels work.

1. How did you hear about us? (single-select)
2. What made you decide to buy today? (single-select)
3. Which platform were you on right before you came here? (dropdown)
4. Was there a specific person or creator who mentioned us? (short text)
5. Had you heard of us before today? (single-select: Yes / No)

Keep the "how did you hear" answer options tight and tied to channels you actually run. A bloated list with twenty options tanks both completion and clarity. We break down the option set in our answer-options guide.

Satisfaction: NPS and CSAT

This is your loyalty and happiness read. Pick one metric per survey, not both, or you'll dilute the response.

6. How likely are you to recommend us to a friend? (NPS, 0-10)
7. How satisfied are you with your purchase so far? (CSAT, 1-5 stars)
8. How easy was checkout? (CSAT, 1-5 stars)
9. Did we meet your expectations? (single-select: Exceeded / Met / Fell short)
10. What's the main reason for your score? (long text, shown as a follow-up)

Question 10 is the one that earns its keep, but only as a branched follow-up to the score above it. More on branching below.

Product feedback: what to improve and stock

11. Which product did you almost buy instead? (short text)
12. Was anything missing from our range that you looked for? (short text)
13. How would you rate the value for the price? (CSAT, 1-5 stars)
14. Which feature mattered most in your decision? (multi-select)
15. What nearly stopped you from ordering? (single-select)

Question 15 is gold for conversion work. The answers map directly to objections you can address on the product page.

Fit and expectations: cut returns before they happen

Sizing and expectation gaps drive a large share of returns. Catch the signal early and you can fix the description, the size chart, or the photos.

16. How does the size compare to what you expected? (single-select: Runs small / True to size / Runs large)
17. Was the product as described? (single-select: Yes / Somewhat / No)
18. How confident were you about which option to choose? (CSAT, 1-5 stars)
19. Did the photos match what you expected? (single-select)
20. Is this a replacement, a gift, or for yourself? (single-select)

Pair these with targeting so they only fire on the apparel or sizing-sensitive products where they matter. (See reducing returns with surveys for the full play.)

Repeat intent: who's coming back

21. How likely are you to buy from us again? (NPS-style 0-10, or single-select)
22. Would you be interested in a subscription for this? (single-select: Yes / No / Maybe)
23. What would make you order more often? (single-select)
24. How did this compare to where you usually buy this? (single-select: Better / About the same / Worse)
25. Can we email you when this restocks or goes on sale? (single-select: Yes / No)

Map each goal to the right question type

OrderSurvey gives you seven question types. Matching the type to the goal is what turns a question into clean, exportable data instead of a mess of free text you'll never read.

Goal	Best question type	Why
Attribution	Single-select / dropdown	Tappable, and answers stay consistent for counting
Loyalty	NPS (0-10)	Standard scale you can benchmark over time
Satisfaction	CSAT (1-5 stars)	Fast, intuitive, one tap
Multiple drivers	Multi-select	Customers pick more than one reason
Specific detail	Short text	When you genuinely need their words
Open reasoning	Long text	The "why" behind a low score
Fit / expectations	Single-select	Forced choice produces comparable data

Notice how rarely text boxes appear. That's deliberate. Most of what you want to know fits a tappable answer, and tappable answers get filled in.

Use branching so you only ask what's relevant

The reason you can keep a survey short while still going deep is conditional branching: show a follow-up only when the first answer warrants it.

The classic pattern:

• Ask the NPS question (0-10).
• If the score is 0-6, branch to an open question: "What went wrong?"
• If the score is 9-10, branch to: "Mind telling us what you loved?"

The customer who gives you a 5 never sees the "what you loved" question, and the promoter never gets interrogated. Each person answers two questions that feel tailored to them, and your completion rate stays high. OrderSurvey supports this kind of branching plus pagination across multi-question surveys, so the experience stays light no matter how many branches you build.

You can take it further with low-score alerts: when an NPS response lands at or below your threshold, OrderSurvey can fire an alert to a Slack webhook so someone reaches out while the customer is still warm. The detractor follow-up turns a complaint into a save. There's a dedicated flow for that in our detractor follow-up guide.

Don't ask all 25 at once

This is a menu, not a checklist. A good post-purchase survey is one to three questions, anchored on your single primary question, with branched follow-ups where they add signal.

A practical build for most stores:

1. Primary question (attribution or NPS, your call).
2. One branched follow-up driven by that answer.
3. An optional fit or repeat-intent question if it's relevant to the product.

Run it, export the responses to CSV, read the open answers, and rotate the questions as your priorities shift. You can even run multiple surveys at once with priority rules, so a high-value order gets a different question set than a first-time buyer.

When you're ready to put one live, start with a launch-ready template and adjust the wording to sound like you. The questions above will give you a finished survey in about five minutes.