Alex Song, CEO and Founder at Proxima, discusses the interesting work he does with Proxima, problems they solve for customers, how he structured the data team for success, attracting top talent to Proxima, and plans for growth and hiring into the team.
Proxima aims to address the impact of changes in iOS 14 by leveraging data science and AI to create a lost signal in digital marketing, helping businesses regain acquisition and performance levels seen prior to iOS 14.
Proxima emphasizes the importance of building a strong data science team, including data engineers and algorithmic data scientists, to ensure the success of their digital marketing intelligence tool.
Deep dives
Proxima's Journey: From Wall Street to Data Intelligence
Alex Song, founder and CEO of Proxima, shares his journey from working on Wall Street to becoming a data intelligence entrepreneur. After experiencing the challenges of changes in iOS 14 and the impact on paid social acquisition, Song recognized the need for a solution in the digital marketing landscape. He leveraged his experience in building direct-to-consumer brands and accessing aggregated data from his partnership network, Dojo Mojo, to develop Proxima. The platform combines data science and artificial intelligence to help digital businesses navigate and optimize paid marketing in a dynamic and ever-changing environment.
Tackling the Complex Problem of iOS 14 Changes
Proxima's mission is to address the significant impact of changes in iOS 14 on digital businesses reliant on paid social for customer acquisition. By leveraging their extensive data and applying AI and machine learning, Proxima aims to create a lost signal in digital marketing. This lost signal helps businesses target more effectively and regain acquisition and digital performance levels seen prior to iOS 14. Proxima's understanding of the problem comes from being digital business operators themselves and their access to aggregated data from thousands of businesses through Dojo Mojo, where they could identify effective partnership opportunities.
Building a Strong Data Science Team for Success
As Proxima focuses on data intelligence, they emphasize the importance of building a strong data science team. This team includes data engineers, who establish the foundation by creating efficient infrastructure, and algorithmic data scientists, responsible for building effective data models. The combination of these roles ensures the success of Proxima's digital marketing intelligence tool, where the quality of the data and algorithms is crucial. By attracting talent through a compelling vision, the opportunity to solve a major problem in the $100 billion digital marketing industry, and showcasing their existing data assets, Proxima has managed to hire a talented team from experienced professionals to enthusiastic juniors.
Today's guest is Alex Song, CEO and Founder at Proxima in New York. Proxima empowers modern brands to navigate changes in the digital landscape and achieve greater marketing performance with breakthrough data solutions. Realizing the challenges many DTC businesses face, they launched a data-driven solution designed to power the future of how brands grow, quickly and with capital efficiency.
Today, Proxima's distributed team is focused on building machine learning tools to help innovative brands reimagine how to scale their marketing strategies. They believe in putting customers first and helping businesses stay ahead of changes in the digital landscape with industry-leading data intelligence solutions. Data integrity is baked into their DNA and they hold themselves to the highest standards of ethical AI.
In the episode, Alex will discuss:
The interesting work he does with Proxima,
Problems they are solving for customers,
How he structured the data team for success,
Attracting top talent to Proxima,
Plans for growth and what he looks for when hiring into the team
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