Dubai, UAE: RTB House, a global company that provides state-of-the-art retargeting technology for top brands worldwide, has completed another successful year in the MENA region with over 500% revenue growth in the first half of 2018 in comparison to the first half of 2017.
Additionally, the retargeting technology provider increased the number of campaigns in UAE by 433% in 2017 as compared to 2016. Globally, RTB House witnessed a revenue growth of over 100% for the fifth consecutive year.
In just five years, starting with an IT team of less than 20, RTB House grew into a competitor that can outperform the top global players. It’s most recent success is attributed to implementing deep learning algorithms in 100% of its retargeting technology. Additionally, the company recently launched a USD5M Artificial Intelligence (AI) Marketing Lab. The new research division will research and develop cutting edge mar-tech solutions for both publishers and advertisers.
“Our aim is to invent and develop cutting-edge mar-tech solutions that go beyond state-of-the-art technologies in specific areas of digital marketing,” said Daniel Surmacz, COO of RTB House. “We’ll look for improvements on the sides of both publishers and advertisers. We want to expand our knowledge, technology, and resources to new areas to develop another game-changing solution. One of the most promising areas is improving effectiveness by acquiring new traffic from advertisers”, he added.
RTB House was listed among the top 10 fastest growing companies from the technology sector in Europe according to Financial Times 1000 list. Moreover, in 2018 the company and its technology were awarded for Best Application of AI for Sales & Marketing with the AIconics Award, presented in partnership with Microsoft. They were also presented with the Big Innovation Award by the Business Intelligence Group.
“We constantly monitor and improve our tool but the change that took place last year was a game changer for both our clients and the whole industry” says Tomasz Wnuk, Business Development Director Middle East & Africa at RTB House. “Our algorithms precisely predict user choices and shopping behaviors. Thanks to self-learning abilities, we can confidently claim that we’ve boosted overall performance in our campaigns. It also helps us personalize creatives better, showing nearly 50% better outcomes than previous campaigns.
“We are constantly working on improvements to bring new levels of quality and results to our clients,” he added.
RTB House operates worldwide and runs campaigns for global brands in almost 70 markets across Europe, North America, Latin America, Asia and Pacific, Middle East and Africa. It is one of the few companies in the world that has developed and implemented proprietary technology for purchasing advertisements in the RTB model (real-time bidding)—where buyers participate in real-time advertising auctions.
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 1200 clients in nearly 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 300 professionals and growing.
Learn more at www.rtbhouse.com
© Press Release 2018Disclaimer: The contents of this press release was provided from an external third party provider. This website is not responsible for, and does not control, such external content. This content is provided on an “as is” and “as available” basis and has not been edited in any way. Neither this website nor our affiliates guarantee the accuracy of or endorse the views or opinions expressed in this press release.
The press release is provided for informational purposes only. The content does not provide tax, legal or investment advice or opinion regarding the suitability, value or profitability of any particular security, portfolio or investment strategy. Neither this website nor our affiliates shall be liable for any errors or inaccuracies in the content, or for any actions taken by you in reliance thereon. You expressly agree that your use of the information within this article is at your sole risk.
To the fullest extent permitted by applicable law, this website, its parent company, its subsidiaries, its affiliates and the respective shareholders, directors, officers, employees, agents, advertisers, content providers and licensors will not be liable (jointly or severally) to you for any direct, indirect, consequential, special, incidental, punitive or exemplary damages, including without limitation, lost profits, lost savings and lost revenues, whether in negligence, tort, contract or any other theory of liability, even if the parties have been advised of the possibility or could have foreseen any such damages.
