Post purchase survey questions

Use these 38 post purchase survey questions, organized by the decision each one informs, to learn why customers bought and whether they'll buy again.

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Most post-purchase surveys open with some version of "how satisfied are you?" It's a reasonable instinct and a weak question. Satisfaction scores tell you how the experience compared to what the shopper expected, which is not the same as telling you whether they'll buy again. Two customers can have identical experiences and give you opposite scores.

The questions worth asking are the ones tied to a decision you're about to make: what to fix in checkout, which channel to fund, which product to reorder. Below are 38 of them, grouped by that decision rather than by topic, with the response type for each.

Pick four to six. A post-purchase survey that runs longer than that trades response rate for detail you won't use.

Use these to sharpen positioning and product page copy.

  1. What made you decide to buy this today rather than wait? (Open text)
  2. Were you considering another brand before you chose us? (Yes / No)
  3. Which one made the difference in choosing us? (Multiple choice, shown only if yes to the previous question: price, delivery speed, reviews, returns policy, recommendation, other)
  4. What almost stopped you from ordering? (Open text)
  5. Was this purchase planned before you visited, or decided while browsing? (Multiple choice)
  6. What problem were you hoping this would solve? (Open text)
  7. How long had you been considering a purchase like this? (Multiple choice: today, this week, this month, longer)

Attribution reporting shows the last click. These reach the shopper's memory, which is where brand and word of mouth actually live.

  1. Where did you first hear about us? (Multiple choice with an "other" open field)
  2. Which of these did you see or read before ordering? (Select all that apply)
  3. Did anyone recommend us to you? (Yes / No, with follow-up for source)
  4. Did you read reviews before ordering, and if so, where? (Multiple choice)
  5. Had you visited our site before today? (Multiple choice: first visit, once or twice, several times)
  • The friction survives the sale.
  • How easy was it to complete your order? (Likert, very difficult to very easy)
  • Was there any point where you nearly gave up? (Open text)
  • Did you find the total cost clear before the final step? (Yes / No)
  • Were the payment options you wanted available? (Yes / No, with follow-up)
  • Did you order on a phone, tablet, or computer? (Multiple choice)
  • How many attempts did it take to complete your order? (Multiple choice)
  • Was anything about the delivery options unclear? (Open text)

Expectation gaps drive returns, and returns are more expensive than the survey that predicts them.

  1. Did the product match how it was described on our site? (Likert)
  2. What surprised you about the product, good or bad? (Open text)
  3. Was anything missing from the product description you wish you'd known? (Open text)
  4. How would you rate the quality relative to what you paid? (Likert)
  5. Did the packaging arrive in acceptable condition? (Yes / No)
  6. Were the setup or care instructions clear? (Likert, with N/A option)
  1. How likely are you to order from us again? (0 to 10 scale)
  2. What would make you more likely to order again? (Open text)
  3. Is there something you'd have bought alongside this if we'd offered it? (Open text)
  4. How often do you expect to buy this kind of product? (Multiple choice)
  5. Would you consider us first next time, or shop around again? (Multiple choice)
  6. What's the one thing we could improve before your next order? (Open text)

Keep these last and keep them optional. They're the most likely to trigger a drop-off.

  1. Which best describes why you were shopping? (Multiple choice: for myself, a gift, a business need, other)
  2. Is this your first purchase in this product category? (Yes / No)
  3. What's your age range? (Multiple choice, optional)
  4. Where are you ordering from? (Dropdown, optional)
  5. How did you pay? (Multiple choice)
  6. Would you like to be contacted about your feedback? (Yes / No)
  7. Anything else you'd like us to know? (Open text)
Question categoryThe decision it informsWho acts on itTypical action
Why they boughtPositioning and product page copyMarketingRewrite the value proposition around the reason customers actually name
Which channel to fundBudget allocationGrowthShift spend toward channels shoppers recall, not just last-click
What to fix in checkoutConversion roadmapWebPrioritize the friction that the most customers report
Whether product met expectationsReturns and product detail accuracyProductCorrect descriptions before mismatch becomes a return
Whether they'll buy againRetention forecastingLifecycleTrigger follow-up for low scorers before they churn silently
Who boughtSegmentationInsightsSplit all of the above by segment to find where averages hide problems

The pattern to notice: no category is worth asking about unless someone owns the resulting action. If nobody will change checkout, the checkout questions are wasted fields.

Open a survey with a single-click question and hold open text until the shopper is invested. Demographics go last because they feel like a cost with no benefit to the respondent.

Jumping between checkout, product, and attribution questions forces the respondent to keep switching mental context, and the switching is what makes a short survey feel long.

Shorter surveys are easier to complete and produce cleaner data, which is why our poll question guidance recommends a maximum of one to five questions for quick-decision formats. A post-purchase survey on a confirmation page sits in the same territory, so four to six questions is a sensible working recommendation. An email sent after delivery can carry a few more, because the reader has more patience and a clearer reason to respond.

Checkout and attribution questions belong immediately after purchase, on the confirmation page, while the experience is fresh. Product and expectation questions need the product in hand, so they belong in an email a few days after delivery. Asking about product quality on the thank-you page gets you a guess.

If you use Likert scales, keep the same point system across every question, so a 1 always means the same thing from the first question to the last. Mixing a 1 to 5 scale with a 0 to 10 scale in the same survey makes results harder to compare and harder for respondents to answer consistently. Label the endpoints in words rather than leaving bare numbers.

"Was checkout fast and easy?" produces an unusable answer when it was fast but confusing.

For deeper guidance on constructing the questions themselves, see survey best practices and the guidance on follow-up questions for probing an initial answer. If you want broader satisfaction wording beyond the purchase moment, the customer satisfaction survey questions library covers it. If you plan to ask on the confirmation page rather than by email, the website feedback use case covers triggering a survey on visitor behavior. Once responses are in, analyze features let you filter and cross-tab by segment, which is where the useful differences show up.

  • How many questions should a post purchase survey have?
  • Should I use a 1 to 5 or a 0 to 10 scale? 
  • When is the best time to send it? 
  • Is a post purchase survey the same as a review request? 
  • Should I offer an incentive? 

Choose the six questions that map to a decision someone on your team is actually about to make, then build from a starting point that already has the structure in place.

Ryanair takes this approach to customer listening. Market research manager Rawaa Shami described SurveyMonkey as a platform that lets the airline engage customers to understand where it can improve and hear firsthand about the customer experience. The Ryanair customer story has the detail.

The post purchase survey template gives you an expert-built version you can edit in a few clicks. To ask on the confirmation page at the moment of purchase rather than by email, GetFeedback by SurveyMonkey triggers a form on visitor behavior.

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