How to Write Post-Purchase Survey Questions That Get Answered

A post-purchase survey (also called a post-transaction survey, or sometimes just a post purchase survey) is a short set of questions you send a customer after they’ve received their order, asking about the product and how the delivery went. The three terms describe the same thing - this guide uses “post-purchase” throughout, but the questions below apply regardless of which name you use for it. It only works if people actually finish it. Get the length, timing, or phrasing wrong, and it ends up like every other ignored email.

Post-Purchase Survey Question Examples

Pick one or two questions per category below, not all of them - question count is the single biggest lever on completion rate, covered next.

• Satisfaction: “How satisfied are you with [product name]?” (1-5 scale), or “Did [product name] meet your expectations?”
• Product quality: “Did the product arrive in good condition?” or “Was anything wrong with the product itself?”
• Delivery experience: “Did your order arrive when you expected it?” or “How was the packaging?”
• Usage and consumption: “How are you using [product name]?” or “How much of it have you used so far?” - useful for consumables and food & beverage brands, where how a product gets used says as much as whether it was liked.
• Reorder intent: “How likely are you to buy [product name] again?” (1-5 scale), or “Would you recommend [product name] to a friend?”
• Packaging and waste: “Did any part of the packaging go unused or get thrown away?” - a narrower version of the delivery question, worth its own line for brands tracking food waste or packaging sustainability alongside satisfaction.
• Open-ended, shown only after a low score: “What went wrong?” or “What would have made this better?”

Question Types, and When to Use Each

A short post-purchase survey works with three question formats, not more. Reach for the one that matches what you’re trying to learn, not a mix of everything a longer market-research survey might use.

• Scale or rating. A 1-5 scale for anything worth tracking and benchmarking over time - satisfaction, product quality, purchase intent (“How likely are you to buy this again?”). It’s fast to answer and easy to compare across products or across months.
• Single-choice, closed options. For anything with a fixed, known set of answers - attribution (“How did you hear about us?”), a yes/no on delivery condition. Closed options take one tap and produce clean, countable data; open text produces answers that vary in wording and have to be manually grouped before they’re usable.
• Conditional open-ended. Free text, shown only after a specific answer - typically a low satisfaction score. This is where the “why” comes from, without costing the completion rate of everyone who didn’t have anything to add.

That’s the full list. Larger market-research surveys use additional formats - multi-attribute grids, ranked-choice batteries - built for a different job: testing a product concept against a large sample before launch. A post-purchase survey asks one to three questions about a purchase that already happened, to someone who already has the product in hand. Match the format to that job, not to a research methodology built for a different one.

Common Mistakes That Tank Response Rates

• Sending it with the order confirmation, not the delivery. The customer hasn’t experienced the product yet, so there’s nothing real to ask about - see the timing section below.
• Asking about the brand instead of the product. A vague “how was your order?” produces a vague answer you can’t act on.
• Making every question required. One skipped field shouldn’t block the rest of the survey.
• Leading with an open text box. People abandon a survey that starts with typing before they’ve committed to finishing it.
• Asking things you already have. Order date, product, and delivery date are already in your system - don’t spend a question re-collecting them.

Good Question vs. Bad Question

Vague or leading	Specific and neutral	Why it’s better
“How was your order?”	“How satisfied are you with [Oat Milk 1L]?” (1-5 scale)	Names the specific product and gives a scorable answer, instead of an open-ended one nobody has to answer precisely.
“Don’t you love how fresh this tastes?”	“Did the taste and quality of [product] match your expectations?”	The first assumes the answer before it’s given. The second is neutral, so it captures a genuine range of responses instead of only agreement.
“Tell us about your experience.”	“Did [product] arrive in good condition?” (yes/no)	An open text box as the first question gets skipped. A closed question is answerable in one tap, which is what keeps someone in the survey.
“Would you buy this again, and why, and what would you change?”	“How likely are you to reorder [product]?” (1-5 scale)	Three questions disguised as one. A single scale keeps it to the one question it should actually be.
“How did you find us?” (open text)	“How did you hear about us?” (Instagram/social media, Google search, friend or family, email, other)	Closed attribution options are faster to answer and produce data you can count, instead of dozens of slightly different free-text answers for the same channel.

The question builder now includes an Attribution & Acquisition category with this exact wording, plus a button to download the whole template - food & beverage, supplements, beauty, household, and attribution - as one file.

Post-Purchase Survey Questions, Answered

What’s a good example of a post-purchase survey question? A single scale question tied to a specific product - “How satisfied are you with [product name]?” on a 1-5 scale - with an open-ended follow-up like “What went wrong?” that only appears if the score is low.

How many questions should a post-purchase survey have? One to three. Completion rate drops with every question past that, so a short, conditional survey consistently outperforms a longer fixed form.

What’s the difference between a post-purchase and a post-transaction survey? None in practice - they’re the same survey sent at the same point in the customer journey. “Post-transaction” is more common in retail and payments contexts; “post-purchase” is more common in ecommerce and DTC.

Should the questions be different for a subscription product? Mostly the same core questions, with reorder intent replaced by a more specific version - “Will you keep this in your next box?” - since the reorder decision for a subscription is closer to automatic than it is for a one-off purchase.

What’s the best response wording for a “How did you hear about us?” question? Closed, multiple-choice options - Instagram/social media, Google search, friend or family referral, email, other - rather than an open text field. Closed options are faster to answer and produce attribution data you can actually count, instead of dozens of slightly different free-text answers for the same channel.

Keep it shorter than feels necessary

The instinct is always to ask more: satisfaction, quality, packaging, delivery, would they reorder, would they recommend it. But every question you add after the first two or three chips away at your completion rate. One sharp question, answered well, beats eight questions answered halfway. If you need more depth, use a follow-up that only shows up based on how someone answered, not a longer fixed form everyone has to sit through.

Ask about the product, not the brand

“How satisfied are you with your Brand X order?” is a weaker question than “How satisfied are you with [specific product]?” Naming the actual product does two things: it feels more relevant to the person answering, and it gives you SKU-level data instead of a vague brand-wide score you can’t trace back to any real decision.

Time it to the delivery, not the order

A survey that goes out the moment someone places an order is asking about something that hasn’t happened yet. One that goes out a month later is asking them to remember a fading impression. The sweet spot, where the reaction is still fresh and the delivery has actually happened, is narrow: 24 to 48 hours after the product arrives. That only works if the send is tied to delivery confirmation, not the order date.

Make the first question the easy one

Whatever comes first should take five seconds: a single scale, a one-tap choice, nothing that requires typing. People who answer an easy first question are much more likely to keep going than people who open the survey and immediately hit a blank text box.

Only ask open-ended questions when they’re earned

Free-text fields give you the most valuable answers and lose you the most respondents. The fix isn’t to cut them, it’s to only show one when it’s worth asking. A low satisfaction score can trigger a “what went wrong?” follow-up, so the open text field only appears for people who actually have something to say, instead of everyone regardless of how they feel.

Don’t ask what you already know

If you already have the order date, the product, and the delivery date, don’t make the customer type them out again. Every question you could pre-fill or skip based on data you already hold is just friction with nothing to show for it. Save the survey for the one thing you can’t get anywhere else: what the customer actually thought.

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Want a starting point instead of a blank page? The free post-purchase survey question builder generates ready-to-use questions by product category and lets you download the full set as a template, already following the rules above. TrueSignal handles the timing, the delivery trigger, and the structure of post-purchase surveys automatically, so product and retention teams get the data without building the plumbing themselves. See the Shopify post-purchase survey app.