Quick answer: The best post-purchase survey questions do more than measure satisfaction — they uncover why a customer will or won't buy again, because repeat buyers are where ecommerce margin actually lives. Returning customers generate roughly 300% more revenue than first-timers and spend about 67% more per transaction, yet the average store's repeat purchase rate sits at just 18.8%. Below are 30+ field-tested questions organized by stage (order confirmation, delivery, product experience, and repeat-intent), ready to copy. A static rating tells you how someone felt; pairing these with AI-moderated interviews tells you why — and what would make them reorder.
Why the post-purchase moment is your cheapest growth lever
Acquisition keeps getting more expensive; the 0–30 day window after checkout is where the cheap growth is hiding:
- Brands that prioritize the post-purchase phase see revenue rise 15–25% versus those focused only on acquisition.
- First-time buyers who receive personalized post-purchase communication show 45% higher second-purchase rates.
- 77% of second purchases are reorders of the same product — meaning the fastest path to repeat revenue is nailing the experience of what they already bought, not cross-selling something new.
That's exactly what a post-purchase survey is for: catching the friction and delight signals that determine whether a first order becomes a second. (For the broader strategy, see our ecommerce customer research guide.)
The 4 stages of post-purchase questions
Trigger different questions at different moments. Match each to the right question type — Koji supports six (open_ended, scale, single_choice, multiple_choice, ranking, yes_no) so every answer is measured correctly.
1. Order confirmation (immediately after checkout)
Capture the buying decision while it's fresh.
- What made you decide to buy today? (open_ended)
- Was there anything that almost stopped you from completing your order?
- How easy was the checkout process? (0–10 scale)
- Did you consider any other brands before choosing us? Which?
- How did you first discover us? (single_choice)
- What nearly made you abandon your cart? (see our cart abandonment guide)
2. Delivery & unboxing (on arrival)
The first physical impression sets repeat intent.
- How satisfied were you with the delivery experience? (0–10 scale)
- Did your order arrive when you expected it to? (yes_no)
- How was the packaging and unboxing experience?
- Did the product match what you expected from the website?
- Was anything missing, damaged, or different from your order?
3. Product experience (7–14 days after delivery)
The moment that decides whether they come back.
- How satisfied are you with the product so far? (0–10 scale)
- Is the product solving the problem you bought it for? (yes_no)
- What do you like most about it?
- What, if anything, has disappointed you?
- How does it compare to what you were using before?
- Rank what mattered most in your decision: price, quality, delivery speed, brand. (ranking)
- What almost made you return it, if anything?
4. Repeat intent & loyalty (14–30 days)
Quantify — and explain — the likelihood of a second order.
- How likely are you to buy from us again? (0–10 scale)
- How likely are you to recommend us to a friend? (0–10 NPS scale — see NPS benchmarks by industry)
- What would make you order from us again sooner?
- Is there a product you wish we offered?
- What's the one thing that would turn you into a loyal customer?
- What nearly stopped you from ordering again? (open_ended)
- Would free shipping or easy returns change how often you buy? (single_choice)
Bonus: deeper "why" probes (use as follow-ups to anything above)
- Can you tell me more about that?
- What do you mean by "not quite what I expected"?
- Can you give a specific example of when that happened?
- Was that the deciding factor, or one of several?
- If we fixed that, would you order again? Why or why not?
The problem with static post-purchase surveys
Questions 26–30 are where the repeat-purchase insight actually lives — and a one-tap rating email can't ask them. You get a 4-star score and a blank comment box. When a customer types "packaging felt cheap," the form has no way to ask "cheap how — and did that change how you feel about the brand?" So you're left with an average rating that trends sideways and a backlog of vague comments nobody can act on. Meanwhile, low response rates mean the handful of people who do reply skew to the extremes. A star rating is a symptom; the reason behind it is the thing that grows repeat revenue.
How AI-moderated interviews turn ratings into repeat sales
Koji runs these exact questions as an AI-moderated voice or text interview instead of a dead form. Triggered by order status — on delivery, at day 7, at day 30 — the AI moderator asks your post-purchase questions and probes each answer in real time, automatically following "the fit was off" with "off how, and would you size differently next time?" — with no moderator bias and no scheduling. It interviews every customer in parallel, so you hear from the quiet majority, not just the one-star and five-star extremes.
Then Koji does the analysis that would otherwise take a week: automatic thematic analysis clusters every response into the real drivers of repeat purchase and return, sentiment scoring flags the customers you're about to lose, and a one-click report hands your growth and CX teams the verbatim quotes plus the distribution. Pair a quantified repeat-intent score (question 19) with the story behind it in the same study, and route the findings straight into your customer feedback loop. Because it captures the why, you learn not just that repeat intent dropped, but that it dropped because delivery ran two days late for a specific carrier in a specific region.
The result: from a one-line rating to the reason customers come back — in hours, not weeks, with no research expertise required. It's the qualitative depth your CX stack and CSAT tooling were always missing.
Put these questions to work
Copy the questions above into your post-purchase flow today — then let an AI moderator ask the follow-ups your rating email never could. Run your first AI post-purchase study on Koji and turn first-time buyers into repeat customers.
