Ad Fraud and Machine Learning: Maximizing ROI by Minimizing Invalid Traffic

Ad fraud is becoming increasingly complex to detect as every day goes by. The adaptation of processes to avoid detectability has become so sophisticated that it no longer appears as a bot. What we are seeing today is a façade of real human engagement that is increasingly accurate and increasingly profitable.

According to Statista, it is estimated that the global costs relating to digital advertising fraud would grow exponentially between 2018 and 2023 from $35 billion to $100 billion. Ad fraud can not only have detrimental effects on individual businesses but also on the global economy.

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