Nano's Intent Personas provide timely audience targeting through machine learning and panel data, overcoming limitations of traditional signal-based methods in an evolving privacy landscape.
With consumer privacy concerns leading to signal loss, the need for alternative targeting solutions has become critical. Nano's method goes beyond historical data to provide live targeting.
By employing traditional media research and verified audience matching, Nano addresses the pitfalls of previous people-based targeting methods, ensuring more accurate and relevant audience identification.
Nano's research found that 68% of global consumers are apprehensive about online privacy, and many prefer brands that avoid personal data in their targeting strategies.
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