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CEO
In the US, 84% of marketing professionals say that accurately measuring what drives their revenue is a top priority, but only 17% of them are actually tracking performance across all digital channels. Why?
Marketers are not data scientists. Most of them don't know how to integrate a dozen data sources and build machine learning models to determine the channels and campaigns that drives their sales.
Revenue reported by advertising platforms is highly inaccurate. They are in the business of selling ads, not providing reliable omni-channel performance insights.
Multiple platforms claim credit for the same sales, and even for sales that they didn't actually influence. Bad data leads to bad decisions.
I'd love to share with your listeners why this happens, how they can avoid it, and how they need to set up their analytics to produce accurate insights. I want them to stop wasting money on things that don't work and double down on what actually does.
I'm a serial entrepreneur and the founder of Data Speaks, an AI-powered analytics platform that helps companies identify what drives their sales and invest in the right marketing strategies.
With a background in economics and data science, I have spent the last 20 years developing AI, machine learning and data analytics solutions, enabling hundreds of companies to make data-driven decisions and accelerate growth.
I'm also a frequent speaker at AI, machine learning, and digital marketing conferences and podcasts.