Gary Burtka, VP of U.S. Operations for RTB House
The offerings developed by its AI Marketing Lab will integrate with and augment RTB House’s retargeting technology that is powered entirely by deep-learning algorithms.
NEW YORK (PRWEB) December 19, 2018
RTB House, a global company that provides state-of-the-art retargeting for top brands worldwide, today announced it will begin the alpha testing phase of its first MarTech innovations developed in its AI Marketing Lab, a new research division it launched in May with an initial annual investment of USD $5 million.
The new offerings will be tested by selected brands from RTB House global customer base starting in Q1 2019. The company plans to roll out three innovations to its customer base next year. It currently serves more than 1,500 clients in nearly 70 countries including Adidas, Hotels.com, New Balance, Trivago, Sephora and Walmart.com.
The offerings developed by its AI Marketing Lab will integrate with and augment RTB House’s retargeting technology that is powered entirely by deep-learning algorithms. Deep learning is an advanced form of AI that models high-level abstractions in data and imitates the workings of the human brain in processing data very fast to create patterns that people use in decision-making.
The first three AI Marketing Lab innovations include:
- RTB House’s new Social Banners will improve the user experience and recommendation mechanism by giving online shoppers more control of personalized offers that are custom-built for them. Using gamification features, they let consumers vote on what products they like, or dislike, most. Based on consumers’ opt-in feedback, more similar products they indicate liking will be presented to them in the future. The ones they dislike won’t be presented. This type of interactive functionality has proven to be popular across social media, online games and web services such as Pandora. The collective user input from social banners will be considered more generally by the AI engine to refine the overall user experience and recommendation mechanism which will boost personalization and performance.
- With RTB House Snippets, clients will be able to use RTB House insights to make creatives more effective and ensure the ads align with a client’s brand book. Snippets can also be used for dynamic creatives, which have proven to be difficult for the ad industry to deliver in past. Clients can simply download the creative codes for particular formats, insert any needed meta tags and use the creatives in any online advertising campaign across various online channels. With its five years of experience in conducting retargeting campaigns RTB House has developed its unique, dynamic creations, which are not only eye-catching but also effective. Frequently requested by customers, the new Snippets feature will help clients generate new traffic more efficiently, run consistent branding campaigns, and gain more insights about target audiences.
- RTB House’s new Full-page Recommendations will provide a suite of products that are selected specifically for individual shoppers based on their past behaviors and online preferences. Users will have an opportunity to see more of the recommended products on a dedicated subpage, before being redirected straight to a product page. As opposed to other platforms that provide shoppers more generic product offers, these customized, full-page recommendations are much more likely to be viewed and interacted with because the experience is much like having a personal shopper select and present customers with product choices tailored just for them. There also are opportunities to provide real-time, dynamic promotions and other special offers to shoppers within these personalized splash pages to entice shoppers to click on products for more information.
“We prioritized the development and launch of these first three innovations from our new AI Marketing Lab based on customer feedback about what they need the most. First and foremost, the brands we work with want to present ads that are personalized and interesting to consumers. They’re also seeking to provide dynamic, high-quality creative that entices shoppers to click on the ads for more information and to use the best-performing ones across more marketing channels,” said Gary Burtka, VP of U.S. operations at RTB House. “I am sure that the projects developed at our AI Marketing Lab will not only increase the efficiency of our retargeting technology, but be at the forefront of ad industry innovation and what’s next for ad-tech.”
With RTB House, large brands are able to deliver ultra-personalized ads based on behavior tied to their search tactics, browsing and basket behavior and other observations within seconds across all devices and at just the right time to improve conversions and boost sales.
Its world-class retargeting platform, powered by 100% deep learning AI, currently handles two million requests per second, 10 billion ad views per month and about five million daily clicks.
About RTB House:
RTB House is a global company that provides state-of-the-art retargeting technology for top brands worldwide. With its proprietary ad buying engine, powered entirely by deep learning algorithms, RTB House helps advertisers multiply sales to reach their short, mid and long-term goals.
Founded in 2012, RTB House serves over 1,500 clients in over 70 countries in EMEA, APAC and the Americas regions with main locations in New York, London, Tokyo, Singapore, São Paulo, Moscow, Istanbul, Dubai and Warsaw. The team consists of more than 400 professionals and growing. In 2018, after successfully deploying deep learning into 100 percent of its algorithms, RTB House launched AI Marketing Lab. The new division is focused on creating an environment for inventing and developing new mar-tech solutions.
Learn more at http://www.rtbhouse.com
