This paper explores approaches for the effective integration of several focal areas of advanced analytics on currently achievable big data platforms to enable timely, and maximally effective, geofence-triggered interventions (push marketing) that leverages viral or exponential returns. The viral or exponential growth behavior of modern social media-based interactions has garnered much attention in both public and private circles. The potential for harnessing and controlling these epidemic-like dynamics of spread or diffusion represent a significant and, as yet, underdeveloped marketing approach. This is especially true in the context of geo-fencing strategies and designs. Despite the potential for highly-leveraged returns for location-based services (LBS) several barriers remain. Due to privacy concerns, legal issues, the immaturity of big analytics, and constraints presented by physical-level communications and geo-tracking enabling technology, LBS has remained underdeveloped and under-actualized. This reality is rapidly changing. This paper focuses on recent developments in big analytics, especially the integration of social networking dynamics, text mining, semantics, dynamic behavioral profiling, and real-time trigger-based geo-sensing capabilities that are enabling the next generation of high performance direct digital marketing services.