Returns in SMEs: 6 KPIs You Can Measure Without an Analytics Team

In the coming years, one of the key challenges for e-commerce businesses will be the effective measurement of returns and their impact on the business. In practice, most small and medium-sized companies operate with data that already exists but is not connected. Returns are handled operationally, yet they are rarely measured in a way that allows businesses to control their impact on margins, cash flow, and customer experience. At the same time, organising this area does not require an analytics team or advanced tools. A few carefully selected indicators, calculated using data already available in every e-commerce business, are enough.

1. Return Rate – How Many Returns Does Your Business Generate?

As shown in the Alsendo report “Returns in Polish E-commerce 2026”, the average return rate among surveyed companies is 3.5%, while most businesses fall within the 5–7% range. This is a relatively low share that can easily be underestimated, especially compared to other operational costs. However, without systematic measurement, it is impossible to assess its impact on margins or identify the moment when it starts to grow. Importantly, as many as 33% of companies are unable to determine their return rate, showing how common the lack of basic control over this area still is.

Tip: without Return Rate, every other KPI loses context.

2. Cost per Return – What Does a Single Return Really Cost?

The most commonly declared cost of handling a single return ranges between PLN 10 and PLN 15, while as many as 77% of companies operate within the PLN 7–30 range. At first glance, this may not seem critical. In reality, however, this is a complex cost that includes reverse logistics, product verification, restocking, and administrative handling. As order volumes grow, even a small unit cost quickly scales into a significant financial burden. What is more, this is one of those costs that is often not reported directly but dispersed across different operational areas.

Tip: Cost per Return should be treated not only as a logistics metric, but also as an important margin control indicator.

3. Time to Refund – How Quickly Do You Return Customers’ Money?

In nearly half of companies (49%), refunds are processed within a maximum of 5 days from receiving the returned product. At the same time, 40% of businesses need at least 11 days. This gap demonstrates the differences in operational maturity between return processes. Refund time is not just an efficiency metric — it directly affects customer experience and the likelihood of repeat purchases. In practice, delays in refunds translate not only into operational strain but also into lost future revenue.

Tip: Time to Refund is one of the few KPIs that simultaneously impacts operations, finance, and customer retention.

4. Return Reasons – Why Do Customers Return Products?

The most frequently indicated challenge in the returns area is customer abuse. More than half of companies consider it a significant issue. This includes returning used products or taking advantage of liberal return policies in ways that go beyond their intended purpose. At the same time, other causes also play an important role, such as poor product fit, inaccurate product descriptions, or quality issues. Without systematic analysis of return reasons, all these cases end up in one operational bucket, leaving companies to react instead of prevent.

Tip: Return Reasons is one of the few metrics that enables businesses to move from handling returns to actually reducing them — provided it is measured and segmented.

5. Recovery Rate – How Much Value Do You Recover from Returns?

Around half of returned products (approx. 50–55%) are resold as full-value products, while another several percent (approx. 16–18%) are sold as discounted or outlet items. This means that a significant share of returned value can be recovered, although it does not happen automatically. Other products are returned to suppliers, disposed of, or lose value during operational processing. Recovery Rate helps businesses understand what portion of returns goes back into circulation and what portion becomes a cost. In practice, this is one of the most important KPIs for evaluating warehouse efficiency and the quality of return verification processes.

6. Return Cost Coverage – Who Pays for the Return?

In most cases, the return cost is covered by the customer. This model is declared by 46% of companies, while around 33% offer free returns, and the remaining businesses use mixed or conditional approaches. This is not only an operational decision, but also a strategic business choice. Passing the cost to customers reduces direct expenses, but it may affect conversion and willingness to purchase. On the other hand, free returns improve customer experience and can increase basket value, while also increasing operational costs.

Tip: Return Cost Coverage allows businesses to consciously manage this trade-off instead of treating it as the default returns policy.

Where Can You Find This Data in Your E-commerce Business?

All the data needed to measure returns already exists within your organisation. It can be found in courier systems (shipment and return statuses), sales systems (orders, basket values, refunds), and warehouse operations (return intake, product verification, restocking availability). The challenge is that these systems operate separately, creating isolated streams of information instead of a unified process view.

Data Integration Remains the Key Challenge

This gap between data availability and its practical use remains one of the key limitations for SMEs. Companies do not need new sources of data — they need a way to connect the data they already have. Only then can they move from operational return handling to conscious return management based on measurable KPIs and repeatable processes.

How Can the Business Pro Analytics Panel Help?

In the SME segment, the biggest limitation is often not the lack of advanced analytics tools, but the lack of access to a consistent operational view of data. Business Pro does not require advanced IT infrastructure or an analytics team.

One Data Source for the Entire Process

The system aggregates all shipments — regardless of the carrier — together with related events such as statuses, delivery times, returns, and return progress. This makes it possible to track the entire process, from shipment to refund.

Data That Supports Decision-Making

Beyond basic monitoring, Business Pro also provides an analytics layer based on real operations: return data, return frequency and reasons, carrier quality comparisons, and delivery time analysis.

From Data to Operational Control

The most important change is that data starts working in real time. Instead of analysing results after the fact, businesses can monitor processes continuously — identifying delays, logistics issues, or increased return levels in specific segments.

Competitive Advantage Starts with Using Data

The report “Returns in Polish E-commerce 2026” highlights which KPIs truly matter. At the same time, it shows that in many companies these indicators remain outside any real measurement system because the data required to calculate them is spread across disconnected systems.

In this context, operational tools such as Business Pro demonstrate that data does not need to be acquired or modelled — it needs to be organised and connected. This is an important distinction because it shifts the focus from investing in analytics to structuring existing information. Once this structure is in place, returns stop being purely an operational area and become part of financial and quality management.

Anna Sztyk