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liiteGuard automated returns and retained 46% of refunds with exchanges.

A CONVERSATION WITH

Simon Bak Andersen

Head of Marketing & E-commerce

About

About

liiteGuard is a sportswear brand born from a passion for sports and a commitment to excellence.

liiteGuard is a sportswear brand born from a passion for sports and a commitment to excellence.

Industry

Industry

Sportswear

Sportswear

Founded

Founded

2016

2016

Headquarters

Headquarters

Denmark

Denmark

Key features

Key features

Variant exchanges

Store credit refunds

Data intelligence

PDP size flags

Ready to get started?

Ready to get started?

Ready to get started?

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Challenge

liiteGuard struggled with a manual returns process that caused friction for both their team and customers. They needed a better way to handle exchanges and retain more sales.

Solution

Using Float, liiteGuard automated their returns process, making it smoother for everyone involved. By turning refunds into exchanges and uncovering insights from returns data, they improved the customer experience and protected revenue.

Impact

46% of refunds converted to exchanges and store credit

Fewer support tickets on return process.

Faster processing time per return

Automated size guidance nudges on product pages

liiteGuard's story

liiteGuard's story

liiteGuard's story

Founded in Denmark in 2016, liiteGuard is a sportswear brand driven by a passion for performance and a commitment to quality. Their mission is to create gear that empowers, inspires, and protects every athlete.

Today, liiteGuard is a leading running brand with a strong community and loyal following.

The manual returns process

liiteGuard has grown quickly since 2016. As sales rose, returns became more frequent and complex. Managing everything manually, from restocking to refunds and exchanges, made it hard to stay efficient and learn from returns data.

QUOTE 1: what was the problem with the process before Float - and why did you want something smoother?

For customers, exchanging a product meant returning it first and then placing a new order. This created friction, and only 9% completed the extra step to reorder.

QUOTE 2: Why was it a problem not having a good way of handling exchanges? e.g. customer experience + lost revenue?

To keep up with growth and maintain high standards, liiteGuard looked for a simpler, more efficient returns process that worked better for both their team and customers while driving more exchanges.

liiteGuard has grown quickly since 2016. As sales rose, returns became more frequent and complex. Managing everything manually, from restocking to refunds and exchanges, made it hard to stay efficient and learn from returns data.

QUOTE 1: what was the problem with the process before Float - and why did you want something smoother?

For customers, exchanging a product meant returning it first and then placing a new order. This created friction, and only 9% completed the extra step to reorder.

QUOTE 2: Why was it a problem not having a good way of handling exchanges? e.g. customer experience + lost revenue?

To keep up with growth and maintain high standards, liiteGuard looked for a simpler, more efficient returns process that worked better for both their team and customers while driving more exchanges.

liiteGuard has grown quickly since 2016. As sales rose, returns became more frequent and complex. Managing everything manually, from restocking to refunds and exchanges, made it hard to stay efficient and learn from returns data.

QUOTE 1: what was the problem with the process before Float - and why did you want something smoother?

For customers, exchanging a product meant returning it first and then placing a new order. This created friction, and only 9% completed the extra step to reorder.

QUOTE 2: Why was it a problem not having a good way of handling exchanges? e.g. customer experience + lost revenue?

To keep up with growth and maintain high standards, liiteGuard looked for a simpler, more efficient returns process that worked better for both their team and customers while driving more exchanges.

The solution with Float

Float helps liiteGuard automate returns, making the experience smoother for customers while retaining revenue.

Here’s how:

Automated returns: An on-brand portal that manages returns and exchanges automatically, saving time for support and warehouse teams.

Retained revenue: Customers can exchange or shop for new items during the return process. Now, 46% of refunds turn into exchanges or gift cards.

Smart returns data: Return reasons are automatically analyzed, giving the team insights to improve products and reduce return rates.

Better size guidance: Float’s data on size and fit helps shoppers choose the right size, increasing confidence at checkout and reducing returns.

QUOTE 3: Overall quote on why you like the solution.

Float helps liiteGuard automate returns, making the experience smoother for customers while retaining revenue.

Here’s how:

Automated returns: An on-brand portal that manages returns and exchanges automatically, saving time for support and warehouse teams.

Retained revenue: Customers can exchange or shop for new items during the return process. Now, 46% of refunds turn into exchanges or gift cards.

Smart returns data: Return reasons are automatically analyzed, giving the team insights to improve products and reduce return rates.

Better size guidance: Float’s data on size and fit helps shoppers choose the right size, increasing confidence at checkout and reducing returns.

QUOTE 3: Overall quote on why you like the solution.

Float helps liiteGuard automate returns, making the experience smoother for customers while retaining revenue.

Here’s how:

Automated returns: An on-brand portal that manages returns and exchanges automatically, saving time for support and warehouse teams.

Retained revenue: Customers can exchange or shop for new items during the return process. Now, 46% of refunds turn into exchanges or gift cards.

Smart returns data: Return reasons are automatically analyzed, giving the team insights to improve products and reduce return rates.

Better size guidance: Float’s data on size and fit helps shoppers choose the right size, increasing confidence at checkout and reducing returns.

QUOTE 3: Overall quote on why you like the solution.

The impact

The liiteGuard team highlighted three key results:

Revenue retained. Previously, only 9% of customers placed a new order after the return. Now, that number has increased to 46% - without adding extra work for the team.

Faster processing. Several return workflows are now fully automated, cutting down processing time.

Smarter insights. With automated return data, the team gets a clear view of what’s coming back and why. These insights now inform product design, construction, descriptions, and sizing - helping reduce returns and improve conversion.

The liiteGuard team highlighted three key results:

Revenue retained. Previously, only 9% of customers placed a new order after the return. Now, that number has increased to 46% - without adding extra work for the team.

Faster processing. Several return workflows are now fully automated, cutting down processing time.

Smarter insights. With automated return data, the team gets a clear view of what’s coming back and why. These insights now inform product design, construction, descriptions, and sizing - helping reduce returns and improve conversion.

The liiteGuard team highlighted three key results:

Revenue retained. Previously, only 9% of customers placed a new order after the return. Now, that number has increased to 46% - without adding extra work for the team.

Faster processing. Several return workflows are now fully automated, cutting down processing time.

Smarter insights. With automated return data, the team gets a clear view of what’s coming back and why. These insights now inform product design, construction, descriptions, and sizing - helping reduce returns and improve conversion.

Results

46% refunds converted to exchanges (vs <9% re-orders before)

Faster processing time per return

Size and fit insights used for automated size guidance in PDP

Size and fit insights used for automated size guidance in PDP

Size and fit insights used for automated size guidance in PDP

"Float is a no-brainer. Really. We make it more convenient for our customers to get the right products, while gaining valuable data and actionable insights."

"Float is a no-brainer. Really. We make it more convenient for our customers to get the right products, while gaining valuable data and actionable insights."

Simon Bak Andersen

Head of Marketing & E-commerce

What will your story be?

Stop leaving money on the table.

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© 2025 Float ApS. All rights reserved.

Platform

Success stories

Company

Ressources

Terms of Service

Contact

ce@floatanalytics.com

© 2025 Float ApS. All rights reserved.

Platform

Success stories

Company

Ressources

Terms of Service

Contact

ce@floatanalytics.com

© 2025 Float ApS. All rights reserved.