RTBHouse’s Deep-Learning-Based Technology Predicts Click Through Rates

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Marketers Now Able to Spend the Same, Drive More.

RTB House, a company providing retargeting technology for top advertisers, announced the release of another deep-learning based breakthrough for marketers, which provides them with an ultra-precise way to estimate potential clicks on ads, yielding stronger ROI.

Deep learning, or the subfield of machine learning that uses algorithms inspired by the structure and function of the brain or ‘neural networks,’ is increasingly popular with marketers as they imagine a world in which machines like IBM Watson might out-diagnose human physicians and more.

“The predictable performance results of our new clickthrough forecasting tool and all others we’ve release to date and on our roadmap are precisely why so many marketers around the world and in the US are moving to our platform,” said RTB House’s North American Business Development Director, Radoslaw Dobrolecki.  “In every case, RTB House’s Deep Learning approach proves a winner and our customers’ performance increases prove it. With our new clickthrough forecasting tool, our customers are showing an average clickthrough boost of 16.5% without any increased spend requirement.

RTB House’s new clickthrough forecasting tool is the fourth major deep learning solution the company has released this year. The increase in overall performance the retargeting  solutions for marketers are driving strong results. To date, marketers have shown as much as a 29% increase in conversions and increases in product selection efficiency by up to 41%. Increasing click-through rates (CTRs), or the ratio of clicks on a digital calls-to action marketers introduce to their target audiences is one of the most common metrics of digital advertising success as it shows engagement and is the gateway to moving audiences further along the commerce funnel. By employing technology that can predict users’ behaviors based on previous activities and recommend the best product offer for them, brands can increase CTR metrics and reach their most valuable potential customers without any spending increase. Essentially they can spend the same, but drive more activity.

“With the recent release of RTB House’s click through forecasting tool, 100% of our company’s algorithms are now deep learning based,” said Bartłomiej Romański, Chief Technology Officer RTB House. “The achievement provides greatly empowers our customers and is a vast improvement over other methods typically used in retargeting”.

 

About RTB House
The company’s findings in the field of artificial intelligence were lately presented during  the 2017 International Joint Conference on Neural Networks in Anchorage, the 33rd International Conference on Machine Learning (ICML 2016) in New York City and the 31st AAAI Conference on Artificial Intelligence (AAAI 2017) in San Francisco.

 

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