The digital advertising landscape is rapidly transforming amidst evolving privacy regulations such as GDPR and CCPA, steering away from reliance on cookies and personally identifiable information (PII) towards privacy-centric approaches. This shift necessitates prioritising first-party data, fostering customer trust, and empowering users. However, leveraging first-party data for effective campaigns remains a challenge due to issues like limited reach and insufficient personalisation. To address these hurdles, we propose a pioneering solution that harnesses first-party data to enable brands to embrace a forward-thinking, cookie-less strategy. By amalgamating user-anonymised location-based data with a diverse demographic dataset, our approach facilitates targeted campaign planning and omnichannel geographic targeting. Employing advanced AI/ML techniques, including ensemble methods and boosting algorithms, our model dynamically selects optimal features and achieves superior performance metrics. Beta-testing revealed a significant improvement with a 43% lower CPA and a 140% higher CTR compared to traditional cookie-based targeting.