Effectively managing a large budget of pay per click advertising demands software solutions. When spending multi-million dollar budgets on hundreds of thousands of keywords, an effective algorithmic strategy is required to optimize marketing objectives.
In this episode, Nathan Janos joins us to share insights from his work in the ad tech industry.
Nathan has spent the last 20 years in technical roles ranging from software engineer and data scientist to team leader and technical sales. He has focused in the marketing and advertising industry on leads optimization, revenue maximization, sales attribution, statistical modeling, and pricing models. Previously, as the Chief Data Officer at System1 and Convertro he built the teams and strategies around marketing optimization and played an important role in those companies going public and being acquired, respectively. He has a B.S. in C.S. and Eng. from MIT with an emphasis on A.I. and spent three years at the MIT Media Lab. At home Nathan enjoys spending time with his two daughters, a newborn son, and his lovely wife.
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