Feedback Analytics

Reduce returns with customer feedback: proven strategies for webshops

10 min read

The average return rate in Dutch e-commerce is 28%. Every percentage point you lower saves an average webshop thousands of euros per year. Customer feedback is your most direct tool.

Feedback Analytics

Feedback Analytics

Why is the return rate so high?

61% of all returns are due to avoidable causes: incorrect size information, misleading product photos or unrealistic expectations. These are problems you can solve directly.

Returns are one of the biggest cost items for webshops. Not only the direct logistics costs (average €8-15 per return) but also the indirect costs: processing time, product devaluation and the risk that the customer will not return.

Yet most webshops do not know exactly why customers return. They see the return rate in their dashboard but not the underlying reasons. Without that information it is impossible to improve systematically.

The 5 most common return reasons

Analyse your return data and you will recognise these patterns:

  1. 1Size or fit is wrong (most common: 34% of all returns)
  2. 2Product differs from description or photos (28%)
  3. 3Quality disappointing for the price (18%)
  4. 4Wrong product received due to pick or pack error (12%)
  5. 5Damaged product received (8%)

Of these five causes the first three are directly influenced by better product information and identifiable via targeted feedback questions.

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How do you use customer feedback to identify return reasons?

The key is a targeted return feedback flow: a short questionnaire sent automatically as soon as a customer submits a return request.

  • What is the main reason for your return?
  • Was the size information on the product page accurate?
  • Did the product photos match the actual product?
  • How easy was the return process?
  • Would you order from us again despite this return?

By analysing these questions per product category you discover structural issues. If 40% of returners in the 'women's shoes' category say the size information was wrong, that is a direct action point.

5 proven strategies to reduce returns

1. Improve size information based on feedback data

Analyse which products have the most 'size wrong' return reasons. Update the size information, add a size tip ('runs small, order a size up') and consider a fit review section on the product page.

Result: webshops that update size information based on return feedback see on average 15-22% fewer returns in that category.

2. Add user reviews with fit information

Activate satisfied customers (NPS 9-10) to write a review with specific fit information. Reviews from real customers are more reliable than size tables and reduce the chance of a mismatch.

3. Improve product photos and videos

If return feedback shows that products differ from the photos, invest in better product photography: multiple angles, detail shots and for clothing: photos on different body types.

4. Send a proactive 'expectation management' email

Send an email after purchase but before delivery with extra product information: size advice, material information and usage tips. This reduces the chance of disappointment on receipt.

5. Make the return process easier (but measure it)

Paradoxically an easy return process lowers the return rate in the long term: customers feel less barrier to buy. But always measure return reasons so you use the return process as a learning tool.

ROI: what does reducing returns deliver?

  • Average return cost per parcel: €11.50 (logistics + processing)
  • Webshop with 2,000 orders/month and 28% return rate: 560 returns = €6,440/month
  • Lowering return rate from 28% to 22%: 120 fewer returns/month
  • Savings per month: €1,380
  • Annual savings: €16,560, on logistics costs alone

Conclusion: feedback as a return prevention strategy

Reducing returns starts with understanding why customers return. Targeted return feedback flows give you that information: automated, per product category and directly actionable.

Start with a return feedback questionnaire of 3 questions. Analyse the results after 4 weeks and adapt your product pages. The ROI is visible straight away.

Frequently asked questions

What is the average return rate in Dutch e-commerce?

The average return rate in Dutch e-commerce is 28%. In the fashion sector it is higher (35-45%), in electronics lower (8-12%). With targeted feedback measurement and product improvements a reduction of 20-30% is achievable.

Which questions should I ask with a return request?

The most effective questions are: 'What is the main reason for your return?', 'Was the size information accurate?', 'Did the product photos match the actual product?' and 'Would you order from us again despite this return?'

How long before return feedback delivers results?

After 4-6 weeks you have enough data to identify structural patterns. Product improvements based on that data usually lead to a measurable drop in return rate within 2-3 months.

Can I automate return feedback?

Yes. With Feedback Analytics you set a trigger that automatically sends a questionnaire as soon as a return request is submitted. The answers are linked directly to the product category for easy analysis.

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