Sreenath Reddy is the Founder of Intentwise, a technology platform that provides professional advertisers, large-scale aggregators, and high-volume agencies with automation, competitive intelligence, and data infrastructure for Amazon and other eCommerce sites. With more than 20 years of experience in the digital advertising and data analytics space, he utilizes AI to solve marketplace eCommerce challenges. Before founding Intentwise, Sreenath was the Senior Director of Marketing Strategy at Orbitz Worldwide.
With the rapid adoption of eCommerce, online marketplaces like Amazon and Walmart share more data than ever. Yet, as brands collect this data, it becomes fragmented within advertising, retail, and operations departments. How can you integrate data signals to make informed decisions?
Data analytics problem solver Sreenath Reddy classifies data into three distinct categories: strategic, operational, and diagnostic. Strategic data comprises customer lifetime value, competition, and incrementality, in which brands must take a predictive approach to develop actionable insights. Analyzing operational data requires automating performance metrics from inventory levels, ad spend, and profitability. With diagnostic data, Sreenath recommends developing a system to identify potential disruptions, causes, and solutions.
In today’s edition of The Digital Deep Dive, Aaron Conant welcomes Sreenath Reddy, the Founder of Intentwise, back to the show to discuss analyzing and grouping Amazon data. Sreenath shares how to align ad spend with product profitability, how to analyze incrementality, and his mission to unify data signals.
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