Feedback Analytics

Post-purchase survey for webshops: the complete guide

9 min read

A post-purchase survey is the most powerful tool to understand why customers are satisfied or dissatisfied and what you need to change to generate more repeat purchases.

Feedback Analytics

Feedback Analytics

What is a post-purchase survey?

A post-purchase survey is a short questionnaire sent automatically after a purchase or delivery. The goal: measure how satisfied the customer is with the product, delivery and overall purchase experience so you can improve systematically.

Post-purchase surveys are the most effective way to collect customer feedback for webshops. They are sent when the experience is still fresh, the customer is engaged and the chance of honest feedback is highest.

Done well they deliver three direct benefits: insight into return reasons (so you can prevent them), identification of satisfied customers you can activate as ambassadors, and early detection of problems before they turn into negative reviews.

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When do you send a post-purchase survey?

Timing is everything. Send too early and the customer has not received the product yet. Too late and the memory has faded.

  • Right after purchase (payment): ask about the purchase experience and checkout process
  • 24-48 hours after delivery: ideal for feedback on product, packaging and delivery
  • 7 days after delivery: suitable for product experience and usage satisfaction
  • After a return request: ask directly for the reason for the return
  • After customer service contact: measure satisfaction with how it was handled

Webshops that send feedback within 48 hours of delivery get an average 38% response rate. Sending after 7 days drops this to 18%.

For most webshops 24-48 hours after delivery is the optimal moment. The customer has received and unpacked the product, the experience is fresh and the chance of response is highest.

The 10 best post-purchase survey questions for webshops

Use a maximum of 3-5 questions per survey. Choose the questions most relevant to your situation:

  1. 1How satisfied are you with your order? (scale 1-10), the core question
  2. 2How likely are you to order from us again? (NPS 0-10)
  3. 3Did the product match the description on our website?
  4. 4How satisfied are you with delivery and packaging?
  5. 5What is the main reason for your satisfaction score?
  6. 6Is there anything we can improve about your order experience?
  7. 7How did you find us? (for marketing attribution)
  8. 8Would you recommend this product to friends or family?
  9. 9How does our service compare to other webshops you order from?
  10. 10Which product would you like to see in our range?

How do you automate post-purchase surveys?

Manual sending does not scale. The solution is an automated feedback flow that automatically sends the right survey after each delivery.

  1. 1Connect Feedback Analytics to your webshop (Shopify, WooCommerce or via API)
  2. 2Import order data with delivery date, customer details and product category
  3. 3Create a post-purchase questionnaire (3-5 questions, your branding)
  4. 4Set a trigger: 'Send 48 hours after [delivery date]'
  5. 5Configure an alert at NPS ≤ 6: send a notification straight to your customer service
  6. 6Set up an automatic review invitation for customers with NPS 9-10

Post-purchase survey benchmarks for webshops

  • Average response rate: 35-42% (when sent within 48h of delivery)
  • Average NPS e-commerce Netherlands: +32
  • Average satisfaction score delivery: 7.8/10
  • Average satisfaction score product: 7.4/10
  • Percentage of customers willing to write a review after NPS 9-10: 67%

What do you do with the results?

Collecting data without action is pointless. Here are the most effective follow-up actions:

  • NPS ≤ 6: customer service makes contact within 24 hours, prevent negative reviews
  • NPS 9-10: send an automatic review invitation (Trustpilot, Google, Kiyoh)
  • Low score on product description: update the product page
  • Low score on delivery: discuss with your carrier or consider an alternative
  • High return frequency in a specific category: analyse size information and product photos

Conclusion: post-purchase surveys as a growth tool

A well-designed post-purchase survey is more than a satisfaction measurement: it is a growth tool. It helps you reduce return rates, generate reviews and build customer loyalty.

Start with one questionnaire of 3 questions, sent 48 hours after delivery. Analyse the results after 4 weeks and then expand. The ROI is visible straight away.

Frequently asked questions

How long should a post-purchase survey be?

Maximum 3-5 questions. More questions lead to lower response rates. Use an NPS question as the core indicator and add 2-3 targeted follow-up questions.

When is the best time to send a post-purchase survey?

24-48 hours after delivery is the optimal moment for most webshops. The customer has received the product, the experience is fresh and the chance of response is highest.

How do I increase the response rate on my post-purchase survey?

Send within 48 hours of delivery, keep it to 3 questions, personalise the salutation and make sure the email is mobile-optimised. Mention that feedback is used directly to improve.

Can I link post-purchase surveys to Shopify?

Yes. Feedback Analytics connects via the datatable connection or API to Shopify. After each delivery the right survey is sent automatically at the time you set.

How do I use post-purchase survey data to reduce returns?

Analyse the answers to 'Did the product match the description?' and the return-specific questions. If a high percentage of customers say the description was wrong, update the product pages. This is the most direct way to reduce return rates.

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