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Archive for month: April, 2024

Expert Advice on Return Policies that Protect Margin and Build Trust

April 19, 2024/by Returnalyze

The days of creating a return policy that you can “set and forget” are long gone. These policies can impact every level of business, from customer acquisition and brand reputation to net revenue. Plus, changing consumer behaviors and industry upheavals can make previously successful return policies woefully outdated.

That’s why many retailers are now asking new questions, such as whether or not free returns should only be available for loyal customers, how a return policy differentiates you favorably from competitors, or even whether return policies can deter returns abuse.

That’s why conversations like the one we had with BWG Connect are so important. Returnalyze Chief Analytics Officer John Bowman and our VP of Customer Success Christine Bradford joined Assistant Professor Wesley Boyce of the University of Nebraska-Lincoln to discuss the multifaceted nature of return policies and the many factors that should be considered when revising them.

If you missed the live event, don’t worry. Today, we’re covering the key takeaways from this conversation so you can benefit from their expert guidance.

When Should A Business Change Its Return Policy?

Considering the impact return policies can have on net revenue, it’s vital to determine when changes are appropriate. Depending on a variety of factors, from industry changes to shifting consumer behaviors, both waiting too long and acting too quickly can be problematic.

Businesses that wait until customers are frustrated with a return policy put their reputation at risk, they could lose shoppers to competitors, and they may incur additional costs if the price of return transactions increases. Making changes too soon, or even making unnecessary changes, can be confusing for both shoppers and sales associates, which can also lead to poor customer experiences.

Any time is a good time to evaluate whether your return policy makes sense.

John Bowman, Chief Analytics Officer, Returnalyze

That’s why continuous evaluation is the only way to determine when it’s time to make changes to a return policy. That means regularly assessing returns analytics, customer feedback, and industry trends. This data can provide specific KPIs to measure the effectiveness of a return policy:

  • Return rates
  • Length of time for customer returns
  • Post-return customer behavior
  • Profitability
  • Cost per return
  • Return reasons

This information will not only help businesses determine when it’s appropriate to make changes but also provide insights into the type of changes that may need to be implemented and whether or not those changes are having the desired effect.

Wesley Boyce, assistant professor at the University of Nebraska Lincoln, put it best when he said, “Use your data. Look for that objective evidence that what you’ve done is working. It’s going to tell you the truth.”

Create More Effective Return Policies with Data-Informed Changes

Making return policy changes without relying on data is like throwing darts at a bullseye… in the dark. No one return policy is going to be perfect for every business. Some retailers may even need a dynamic return policy that allows for flexibility in certain scenarios. That’s why data-informed changes are vital.

By analyzing return rates, customer behaviors, and even product-specific data, businesses can implement targeted changes to address specific areas of concern.

For example, insights from customer feedback can be incredibly valuable, and the right returns management platform can easily analyze this unstructured review data. By cross-referencing returns analytics with review data, businesses can pinpoint specific return policy issues and develop an action plan to resolve them.

Running a small pilot program to test policy changes can also be beneficial. This gives businesses an opportunity to gauge customer responses and minimize potential risks before fully implementing return policy changes.

Policy Changes Need Planning and Communication Time

In addition to continuous evaluation, revising a return policy involves building enough time to inform internal and external communication channels about any potential changes.

Before a new return policy ever reaches consumers, several internal departments should be well-briefed. Marketing departments may need to develop materials that help communicate these changes. If the new policy impacts return logistics, then the supply chain must be notified so they can be prepared. Customer service, in particular, must be aware of every last detail of the return policy in order to help shoppers during the transition.

Thoroughly communicating these changes to all relevant internal departments is important to ensure a cohesive transition from the old policy to the new one. Adequately communicating these changes to customers is equally important.

Clearly communicating policy changes to customers helps manage their expectations while maintaining trust. This may involve updating the website and marketing materials, email newsletters, social media posts, and even additional reminders during the checkout process.

Flexibility and Adaptability in Return Policies

As we’ve mentioned previously, no one policy will fit the needs of every business. Furthermore, a blanket policy for every transaction may not be appropriate either. That’s why a dynamic return policy with flexibility may be beneficial.

For example, retailers with international customers may need a policy that takes into consideration factors such as increased shipping costs, shipping times, and even regional differences in consumer behavior.

It may even be appropriate to make certain product categories ineligible for returns. Price point, weight, and even the potential for damage should be taken into account when deciding whether a product category should be eligible for returns.

Additionally, businesses that can quickly adapt their return practices to changing circumstances are more likely to thrive in their respective industries. For example, the cost of processing returns has increased greatly over the past few years and may very well increase again. If the cost of returns becomes too great, businesses may decide to allow customers to keep items instead of processing the return.

Bottom line? Businesses should remain flexible and open to updating return policies as new scenarios present themselves and as new data becomes available.

 

https://www.returnalyze.com/wp-content/uploads/shutterstock_1992005666-1.jpg 800 1200 Returnalyze https://www.returnalyze.com/wp-content/uploads/returnalyze-logo-updated-blackbg.svg Returnalyze2024-04-19 09:00:002026-05-22 16:36:58Expert Advice on Return Policies that Protect Margin and Build Trust

Leverage Retail Bracketing and Increase Revenue

April 5, 2024/by Returnalyze

Learn how to increase revenue using insights from retail bracketing returns.

Retail bracketing is when shoppers purchase a product in a range of sizes and/or variations. This ensures that customers receive their ideal product the first time rather than having to return a version that didn’t work and risk it being unavailable later. Once they find their desired product, they’ll return the rest.

While bracketing may seem similar to fraudulent shopping behaviors like wardrobing, its differences are important. Not only is the intent behind bracketing far less malicious, but returns data from these transactions can provide valuable customer behavior insights that retailers can use to increase net revenue.

Discover how granular returns analytics from bracketing transactions can be used to optimize product assortment, improve product details, reduce returns, and increase net revenue.

Retail Bracketing Insights Can Help Optimize Product Assortment

While customers who bracket for size will usually return multiple products, those who bracket for other features (color, heel height, etc.) often end up keeping many of the products they’d intended to return. We’ve even observed keep rates higher than 75% for such transactions. In this instance, retail bracketing insights can be used to improve product assortment.

For example, imagine that a brand discovers its shoppers like to bracket specific garments for color. If this product also has a low retail return rate, customers are signaling that they’re willing to purchase multiple color variations of this product. Consequently, encouraging bracketing by offering multiple color options can lead to increased net revenue.

On the other hand, it’s important to note when specific product variations are regularly returned. If certain styles have a very high return rate in bracketing transactions, it may be time to rethink including these styles in your product assortment. Removing these variations can reduce returns and help customers focus on products they’re more likely to keep.

Improve Product Details with Insights from Bracketing Returns

In the scenario mentioned above, it makes sense to remove regularly returned product variations to reduce unwanted returns. However, determining the return reasons for those products can reveal important product detail insights.

The right returns management platform can analyze unstructured data/comments from customer feedback. That means product reviews from bracketing returns and return forms can be cross-referenced with other analytics to develop a product improvement plan. For example, when customers say a product wasn’t what they expected, providing additional images or a more detailed description may be beneficial.

First purchase bracketing transactions are particularly valuable in this regard. When shoppers are unfamiliar with a brand’s sizing, materials, or even quality, they may choose to bracket so they can assess many of these features.

While the keep rate for these purchases can vary, the data and customer feedback from these returns can be used to improve the overall shopping experience for new customers, recurring customers, and even extremely loyal customers. That can lead to increased acquisition, higher customer lifetime value, and stronger customer loyalty.

 

Use Retail Bracketing Insights to Reduce Size-Related Returns

As we’ve mentioned, the keep rate for size-related bracketing transactions tends to be much lower compared to other types of bracketing. This makes a lot of sense since a customer likely doesn’t need the same product in multiple sizes. However, it does mean that any size-related product details likely need to be improved.

For example, imagine a luxury shoe retailer discovers that their customers are bracketing for heel height and almost always returning the kitten heel. Returns analytics will not only identify the specific variations with a high customer return rate but it can also help the retailer determine what aspect of the sizing information needs to be improved.

These improvements can include, but are not limited to:

  • Including brand-specific sizing charts.
  • Including country-specific size guides.
  • Providing sizing clarity on unisex items.
  • Making sure size conversion charts are accurate and simple to understand.
  • Informing consumers when product features, such as material or heel height, impact size or fit.

Leverage Bracketing Insights to Improve Marketing ROI

While impressive top-line sales can make it appear as though advertising efforts are successful, returns will eat into these profits and negatively impact net revenue. Returns analytics from bracketing transactions, however, can tell you quite a bit about your customers and the real-world impact of your marketing efforts. This information can then be used to optimize advertising spending and increase net revenue.

For retailers that carry multiple brands, customer insights like these are essential when determining which brands and styles to prioritize in ad campaigns. If a large number of bracketing returns include specific brands or styles, reducing ad spending for those products and reallocating it to better-performing ones will increase net revenue.

Additionally, insights from bracketing can be used to optimize advertising by channel. For example, if a retailer notices low keep rates on bracketing transactions from a specific channel, retailers can cancel those ads or create channel-specific ad content that addresses those return reasons. Either way, this information allows retailers to reduce customer return rates and protect net revenue within specific channels.

Increase Net Revenue with Retail Bracketing Insights From Returnalyze

Increased visibility into bracketing can reveal pitfalls to avoid and opportunities that protect and grow net revenue. That’s why using an advanced return management platform is so important.

This type of information was difficult, if not impossible, to attain in the past, but today, the Returnalyze Intelligent Dashboard allows you to access the granular data necessary for this type of analysis. What’s more, a partnership with Returnalyze comes with step-by-step guidance and analysis from our data experts.

The information you need already exists within your bracketing returns. Let us help you analyze this information and develop data-driven ecommerce returns solutions.

Schedule a demo or contact our team today.

https://www.returnalyze.com/wp-content/uploads/shutterstock_199308482-1.jpg 800 1200 Returnalyze https://www.returnalyze.com/wp-content/uploads/returnalyze-logo-updated-blackbg.svg Returnalyze2024-04-05 09:00:002026-05-19 23:32:29Leverage Retail Bracketing and Increase Revenue

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