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

Founded in New York in 1990, Steve Madden started out with 500 pairs of shoes made to his own design and has since gone on to become a leading global fashion brand with a strong online and offline presence. Over the years, they have developed into one of the most iconic brands in footwear.

Thanks to the brand's innate understanding of trends, which has resulted in millions of customers worldwide, Steve Madden has revolutionized the shoe industry by merging years of experience with unique and creative designs.

After running previous successful campaigns with RTB House, Steve Madden reached out again to expand its reach of relevant new users with their pre-holiday message.

With the busy holiday season approaching, Steve Madden was looking to expand its reach among relevant new users through a video campaign that would deliver a pre-holiday message.

In a crowded media where Cost Per 1000 Impressions (CPM) is on the rise, Steve Madden wanted to stand out by launching a big online and offline video campaign, ensuring that its media budget was utilized to its fullest potential.

With Publicis Groupe, Steve Madden’s media agency, deciding on the media mix, our Deep Learning solution was able to reach the most engaged and quality users and, therefore, commit to a fixed Cost Per Completed View (CPCV). Steve Madden decided to launch a 15-second video campaign with RTB House that guaranteed quality complete views in premium placements. The digital creatives were a part of a TV campaign featuring influential model Reef Neeman as Steve Madden’s new presenter. The campaign was aimed at strengthening the brand image among young female audiences, and RTB House was able to implement tailored targeting for chosen interests and publishers.

Utilizing Deep Learning solutions and experience of the brand and industry as a whole, RTB House fulfilled 100% of the goals set by Steve Madden and Publicis Groupe, with over 70% average viewability and a best-in-class cost per completed view 25% lower than local benchmarks. Moreover, we were able to successfully reach younger female audiences with ads displayed on top premium publishers such as Mako, Ynet, Walla, Maariv, and Sport5, while lowering CPCV without sacrificing the quality of hosts/publishers.