Intellectual Property India Publishes Patent Application for A Data-Driven Predictive Analytics Platform For Measuring The Impact Of Social Media Marketing On Consumer Purchase Behaviour And Brand Performance

MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641092371 A) filed by Dr. Yamuna Kilaru; Dr. Someshwar. S; Dr. Deepti Ranjan Sabat; Dr. Steeven Raju Ganta; Dr. Deekonda Anusha; A. Aafiya Thahaseen; Sangeetha. S; C. Ramkumar; Dr. Perikala Umapathi; and Dr. L. Prathiba on July 30, 2026, for A Data-Driven Predictive Analytics Platform For Measuring The Impact Of Social Media Marketing On Consumer Purchase Behaviour And Brand Performance.

Inventors include Dr. Yamuna Kilaru; Dr. Someshwar. S; Dr. Deepti Ranjan Sabat; Dr. Steeven Raju Ganta; Dr. Deekonda Anusha; A. Aafiya Thahaseen; Sangeetha. S; C. Ramkumar; Dr. Perikala Umapathi; and Dr. L. Prathiba.

The application for the patent was published on August 07, 2026, under issue no. 32/2026.

Abstract: The present invention discloses a data-driven predictive analytics platform for measuring the impact of social media marketing on consumer purchase behaviour and brand performance. The platform integrates artificial intelligence, machine learning, natural language processing, and big data analytics to collect, process, and analyse data from multiple digital sources. It predicts consumer purchasing trends, evaluates campaign effectiveness, assesses brand performance, and generates actionable marketing recommendations. Real-time monitoring, adaptive learning, interactive visualization, and secure data management enable organizations to optimize marketing strategies, improve customer engagement, enhance brand value, and support data-driven business decision-making. Accompanied Drawing [FIG. 1]

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