Neural networks can prepare product recommendations, predict ad conversion or expected purchase sum, in such a way increasing advertising efficiency by up to 50%.This is what Anton Melekhov, Country Manager at RTB House Russia, thinks. On April 9, at AI Conference he will explain how to use artificial intelligence in the work with a big number of customers.
Anton Melekhov is an expert in digital marketing and e-commerce. Previously, he worked at Gemius consultancy agency and managed online promotion at Independent Media publishing house. Today he holds the post of Country Manager at RTB House Russia.
RTB House is a transnational company that provides retargeting services to major e-commerce firms throughout the world. It developed its own algorithm of online ad retargeting within the Real-Time Bidding model, based on deep learning. The company presented its results at the International Joint Conference on Neural Networks in 2017.
In 2018, RTBHouse won the Big Innovation Award of the Business Intelligence Group. Currently, it handles ad campaigns of 1,500+ customers in 70 markets.
The topic of speaker’s presentation is “Personalization of offerings when working with a big number of customers”.