--- title: "Refund abuse KPIs: How to measure and reduce refund fraud rates" date: 2026-07-06T09:30:00+01:00 author: Can Colak canonical_url: "https://www.ravelin.com/blog/how-to-measure-refund-abuse-kpis" section: Blog --- Blog /[Fraud analytics](/resources?search=&category%5B0%5D=134547#resourceContainer "Go to Fraud analytics"), [Refund abuse](/resources?search=&category%5B0%5D=204631#resourceContainer "Go to Refund abuse") # Refund abuse KPIs: How to measure and reduce refund fraud rates What you need to know to assess and quantify refund abuse – as well as to measure whether your refund abuse solution and strategy are delivering results. 06 July 2026 ![Refund abuse KPIs: How to measure and reduce refund fraud rates](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/_blogSmall/498-Article-Image-Refund-Abuse-KPIs-Feature-885x505_1x.webp) Whether perpetrated by professional criminals or opportunist first parties, returns and [refund abuse](https://www.ravelin.com/blog/refund-abuse-return-fraud) is a pain point for the majority of ecommerce companies. The [latest Ravelin data](https://pages.ravelin.com/fraud-trends-report-2026-ecommerce) gathered by surveying ecommerce enterprises around the world demonstrates just how prominent the issue has become: - **Over half (55%) of merchants struggle to quantify their refund abuse problem.** - 54% report a rise in refund abuse in 2026 compared to the previous year. - Almost 7 in 10 (67%) received [fake AI-generated or AI-doctored refund evidence](https://www.ravelin.com/blog/ai-powered-refund-abuse-dispute-fraud). It’s certainly a good time to consider strategies and best practices around **assessing and quantifying refund abuse as a merchant** – as well as to measure **whether your refund abuse strategy is working**. ## Ditching the anecdotal for a data-focused approach Refund abusers are gaming generous online shopping policies – with 1 in 4 shoppers [admitting to abusing refund policies](https://pages.ravelin.com/refund-abuse-trends-report-2026-survey) in the past year. Yet, from the above findings and our discussions within ecommerce, it would be fair to say that, much of the time, merchants know that they have a refund abuse problem but don't know how to quantify it. Of course, this directly affects the resources dedicated to resolving this problem. If a fraud team cannot demonstrate or confidently measure the issue, achieving buy-in is not easy for fraud managers. When your fraud landscape requires a revisit of your refund policies, it may be difficult to demonstrate exactly why and what would work without clear, granular metrics. Similarly, a customer service team may be able to tell there is something wrong with certain requests but lack the techniques, training, or cross-team enablement to address the red flags. In fact, 55% of ecommerce enterprises said that their customer service team “**lack the tools and training to effectively challenge suspicious refund claims**” per the Global Fraud Trends 2026 report. The following key refund abuse KPIs will help you to start quantifying refund abuse and its toll on your company, no mmatter whether you’re an online retailer struggling with wardrobing, a [travel agent struggling with fraud](https://www.ravelin.com/blog/fraud-in-online-travel-agencies), a digital goods company, or an online marketplace with a complex threatscape. ## Why is refund abuse so difficult to measure? Traditionally, online fraud teams focused their efforts on payment fraud, where [chargeback rates](https://www.ravelin.com/blog/how-are-you-counting-the-cost-of-chargebacks) and block rates are objective, fairly easy-to-measure metrics. Dispute information arrives from the bank, and merchants will use it to understand what might have gone wrong. The fraud of 2026 is not as simple. Although they both can result in the shopper receiving their money back, [refunds and chargebacks are very different](https://www.ravelin.com/blog/chargeback-vs-refund-abuse). Crucially, **even after a refund claim has been accepted or rejected, there is no obvious, undisputed signal on whether it was fraudulent or legitimate**. False negatives are therefore easy to miss, as are [false positives](https://www.ravelin.com/blog/reduce-false-positives-fraud). As a result, uncertainty looms large when it comes to dealing with refund abuse as opposed to chargeback fraud. *Click or tap on each speech bubble to progress the interactive demo. Note that there's voiceover – please use the button to mute if not desired.* ## KPIs to measure your refund abuse problem To understand whether you have a refund abuse problem and measure your efforts to reduce refund abuse, use KPIs such as refund rate, total amount refunded, first order refund rate and reorder rate following a refund. Let’s take a look at each of these refund abuse metrics in detail: ### 1. Refund Rate This is your headline rate and the first thing to consider. Is the rate of refunds stable or rising? For the purposes of measuring refund abuse, a suitable Refund Rate to look at is **the weekly refund value as a share of total spend**. This is attributed to the original order date rather than when the refund was requested or issued, because the most recent weeks may be understated as refunds are still accumulating. As a merchant, looking at this overall refund rate will give you a top-down, zoomed-out view of whether there is any suspicious activity at the movement – especially once you establish what the baseline rate is for your customer base, and you see diversion. ### 2. Total Amount Refunded This metric gives you a quick indication of the financial scale for your organization. Measured in the merchant’s local currency, Total Amount Refunded is **the total value of approved refunds in the past 90 days (rolling)**, broken down by week. Sudden spikes in this figure can indicate a new refund abuse-focused [fraud-as-a-service scheme](https://www.ravelin.com/blog/why-is-fraud-as-a-service-trending) targeting you, or a new loophole that refund abusers have found to take advantage of you. ![Refund KPIs on the Ravelin dashboard](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/dashboard-for-refunds.png) ### 3. First-Order Refund Rate This metric homes in on a specific risky segment. The First-Order Refund Rate is **the percentage of new accounts/new customers who requested a refund for their very first order within the policy window**. This is an important refund abuse KPI to keep track of because of the practice of burner accounts, where both professional and amateur fraudsters set up new customer accounts to conduct their schemes with a “clean slate” – hoping that fraud defenses do not pick up on their previous activity on other accounts. Granted, first-order refund rate will not always reflect fraudulent activity. Perhaps your refund policies ought to be stricter? Or maybe certain types of merchandise incur more refunds, hinting at a low-quality supplier or manufacturing defects? If a lot of new customers request refunds, this is something a merchant will always find interesting to look into – fraud or not. ### 4. Reorder Value Following a Refund Then, it’s time to look at the recovery outcome. The Reorder Value Following a Refund is the **number of customers who placed a new order within the median time window divided by the total number of refunded customers**. The idea behind this is that genuine customers are likely to want to shop with you again, especially if the item they previously returned was not suitable. What’s more, even if it’s not related to fraud, this is something merchants are striving for: **repeat custom, loyalty and low return rates overall**. You’ll want to consider this metric in relation to the specific industry you operate in and your understanding of your legitimate customers’ habits. Here are some examples: - **Size-related reorder rate for garments**: In the [retail](https://www.ravelin.com/blog/online-retail-fraud-trends-2025) clothing sector, one would reasonably expect returns for ill-fitting garments to often be followed by a new order for the same garment in a different size. - **Star ratings in food delivery**: In food delivery, returns are not possible but refunds may occur more frequently for restaurants and shops with lower star ratings. Even though a customer may not prefer the same eatery, this would not reasonably affect their overall ordering rate. In other words, platform loyalty would not be affected, even if a customer is dissatisfied with a specific restaurant – or even a specific rider. - **Rebooking after a refunded trip**: In the [travel](https://www.ravelin.com/blog/travel-ticketing-fraud-trends) ticketing sector, it’s a good idea to keep track of the number of customers who book a new trip following a refund, divided by all refunded customers. A traveler who was refunded because a trip genuinely fell through usually still wants to travel, and will often rebook the same route or destination. On the other hand, an account that takes refunds repeatedly but never rebooks looks less like a frustrated customer and more like someone extracting value. ![refund value report on Ravelin](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/refund-value-report.png) ## Seasonal spikes in refunds There are certain times of the year when refund requests are more likely to come in. For example, the lead up to Christmas starting with [Black Friday and Cyber Week](https://www.ravelin.com/blog/how-to-prepare-your-e-commerce-business-for-cyber-weekend) typically involves increased sales figures, and refunds for these (including legitimate requests) are likely to come in January. There are also periods unique to individual companies that are more likely to attract attention from fraudsters, including opportunist customers. [A marketing push can invite fraud](https://www.ravelin.com/blog/marketing-push-ecommerce-fraud) and abuse, but also typically attracts more sales. It’s important for any merchant to keep these types of fluctuations in mind when interpreting refund abuse KPIs and reviewing their strategy. ## Takeaways and opportunities around quantifying refund abuse Unlike traditional ecommerce payment fraud, refund abuse and return fraud has particularities that require you to keep an eye on a range of metrics. Refunds make ecommerce fraud management more complex, but they also offer opportunities. For instance, [money that is refunded is more likely to be spent](https://www.ravelin.com/blog/behavioral-science-refunds). In addition to preventing abusive behavior, **a great refund abuse solution will allow you to serve those good customers better, building a loyal customer base** who will enjoy shopping with you and recommend you to their friends. You can rely on Ravelin to support you with identifying the metrics that are important to your business, building detailed reporting that showcases the issue, and deploying a strategy that works for you. The ultimate goal? To **understand refund abuse more deeply, prevent it better, and power your company's secure growth**. ![Ravelin Logo](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/ravelin-symbol-logo-transparent.webp) ## A refund abuse solution that works Ravelin's data-rich refund abuse detection gives you 360° clarity so you can serve good customers better – and reduce refund abuse. [Ravelin's refund abuse solution ](https://www.ravelin.com/solutions/refund-abuse) ## Related content - [On-demand webinar: Refund abuse – quantifying, preventing and getting buy-in](https://pages.ravelin.com/webinar-refund-abuse-prevention-business-case) - [AI-powered refund abuse and dispute fraud: The democratization of deception](https://www.ravelin.com/blog/ai-powered-refund-abuse-dispute-fraud) - [5 types of refund abuser you’ll meet after the peak period sales boom – and how to deal with them](https://www.ravelin.com/blog/5-types-of-refund-abuser-sales-refunds) - [Experts share 5 return & refund abuse prevention strategies (from the stage of RavCon)](https://www.ravelin.com/blog/return-refund-abuse-prevention-strategies) - [Dev docs: Refund abuse integration](https://developer.ravelin.com/merchant/guides/refund-abuse-integration/overview/)[ ](https://pages.ravelin.com/refund-abuse-trends-report-2026-survey) - [The State of Refund Abuse – 2026 report](https://pages.ravelin.com/refund-abuse-trends-report-2026-survey) ## Frequently Asked Questions **How will I know if I have a refund abuse problem?** A company should look at their refund rate fluctuations to assess their refund abuse, as well as more specific KPIs such as reorder rate after a refund and refund value over time. **Does Ravelin's refund abuse solution work require the payment fraud product to work?** Ravelin can deploy the refund abuse solution as a standalone product. For more information, please [speak to the team](https://www.ravelin.com/contact-us). ## Author ![Can Colak](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/_avatarSmall/280078/can.webp) Can ColakSenior Product Manager With a background spanning fintech, marketplaces, and cybersecurity, Can focuses on turning complex fraud and risk challenges into clear, actionable tools for… [More from this author](https://www.ravelin.com/author/can-colak) ## Related content [Blog / Press release ### Driven by AI, customers now rival criminals for ecommerce fraud, say merchants Global ecommerce fraud enters a new phase as losses continue to climb. Merchants now view criminals and their own customers as presenting a comparable risk, and there's a gap in AI adoption. ![Ravelin Symbol Blue 1](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/_33x33_crop_center-center_none_ns/187712/Ravelin-Symbol-Blue-1.webp)Ravelin Technology](https://www.ravelin.com/blog/ravelin-fraud-survey-2026-press-release) [Blog / Payments & payment fraud ### Safeguarding agentic commerce – fraud strategy advice by Ravelin's CPO "If there’s anything fraudsters like, it’s a new thing." Here's how to protect your online shop from agentic commerce fraud – which can target you no matter whether you're actively adopting AI shopping or not. ![RAVELIN STAFF Mark Barlow Head Of product website](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/_33x33_crop_center-center_none_ns/175066/RAVELIN_STAFF_Mark_Barlow_Head_Of_product_website.webp)Mark Barlow,Chief Product Officer](https://www.ravelin.com/blog/agentic-commerce-fraud-prevention-strategy-analysis) [Blog / Ravelin product ### Next-level reporting with Ravelin: Introducing Insights and AI-powered queries Discover how the new Insights section and AI-powered queries in the Ravelin Dashboard simplify your fraud reporting. ![Ashleigh](https://storage.googleapis.com/ravelin-website-assets-production/assets/images/_33x33_crop_center-center_none_ns/267519/ashleigh.webp)Ashleigh Luccini Gilera,Senior Product Marketing Manager](https://www.ravelin.com/blog/fraud-reporting-insights-ai-queries)