increase in AOV
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.”
Head of Digital Marketing, Miinto
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.
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.
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.
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