Case StudiesMIINTO Case study

MIINTO Case study

Deep Learning Secures a 200% Uplift for Miinto

Fast-growing European fashion marketplace sees 18% ROAS improvement

Miinto logotype
fashion icon
Woman sitting on a chair


ROAS uplift


increase in AOV


revenue uplift


About the client

Miinto is one of Europe’s largest ecommerce fashion platforms with more than 5,000 brands. Founded in 2009, Miinto is going through a period of intense international expansion and currently has a presence in 13 countries including Denmark, Norway, Sweden, Poland, and the United Kingdom.

Focusing on providing its customers with the broadest and finest assortment of clothing and accessories from international fashion brands, Miinto reached out to RTB house in order to scale up their operation in regards to display remarketing advertising.

What they say about us

“RTB House can even deliver strong results in a competitive industry such as high-end fashion, in a cost-efficient way, and guarantee our business goals with last-click Google Analytics attribution.”

William Sillemann

Head of Digital Marketing, Miinto


The challenge

Miinto was looking for a strong partner to take the display remarketing advertising to the next level. A partner that could deliver strong results in a competitive industry such as high-end fashion in a cost-efficient way and guarantee the business goals with last-click Google Analytics attribution.

With this in mind, RTB House was charged with scaling performance while keeping profitability front of mind.


The solution

RTB House created a retargeting campaign using Deep Learning Technology which can navigate through huge amounts of data in order to find and target users who did not yet convert browsing to sales. Using banner ads for the retargeting campaign RTB House would be able to manage the return on advertising spend (ROAS) in an effective, time efficient manner.

RTB House implemented the campaign in Sweden, Norway, Denmark, and the Netherlands with ROAS as a top KPI.


The result

Leveraging the power of Deep Learning for this campaign, RTB House was able to provide an uplift in ROAS by 18%.

Ultimately this led to a 66% increase in Average Order Value (AOV) and an impressive 200% uplift in revenue, highlighting that the use of Deep Learning can yield some very positive results when used for retargeting campaigns in the fashion industry.


Inspiration from your industry

Check out active RTB House ad campaigns that are super-charging results for businesses like yours.

Steve Madden Utilizes Deep Learning Video Campaign to Extend New User Reach

Neiman Marcus Exceeds Holiday Season Goals by Over 60%

Zen Pırlanta Increases Brand Awareness Through Personalized Streaming Video Ads