Burcu Kuleli Pak, Bora Mocan, Sema Yıldız Yoldaş, Neşe Baz
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Development of Autonomous Intelligent System for Google Ads
Digital marketing sector is an expanding sector with increasing number of customers, product and service types. Dynamic structure of websites, rapid changes in stock levels in ecommerce websites and dependency of existing systems to humans causes digital marketing agencies to require autonomous systems for customer account management. So the aim of this study is developing an autonomous intelligent system that operates integrated with Google Ads platform. The developed system makes optimization in return-on-investment, conversions, advertising texts and profit using Ackermann Feedback Control Algorithm and State Transition Matrices.
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