MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641078619 A) filed by Naga Lakshmi Veeram; Prof P. Venkateswarlu; Narasimharao Vallabhu; and Dr. Nalabalapu Suman on June 25, 2026, for A Data-Driven Model For Comparative Analysis Of Male And Female Consumer Responses To Digital Marketing Stimuli.
Inventors include Naga Lakshmi Veeram; Prof P. Venkateswarlu; Narasimharao Vallabhu; and Dr. Nalabalapu Suman.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: This invention introduces a novel Data-Driven Model for Comparative Analysis of Male and Female Consumer Responses to Digital Marketing Stimuli, which integrates multimodal data sources and hybrid analytical techniques to deliver precise, actionable insights into gender-specific behaviors. The model processes large-scale interaction data from websites, social platforms, email campaigns, and advertisements, applying statistical decomposition alongside machine learning classifiers and deep learning sequence models to differentiate response patterns. Key innovations include dynamic feature attribution that highlights stimulus elements most influential for each gender, real-time adaptability through continuous learning, and integrated visualization tools for marketing teams. By uncovering subtle interactions between stimuli types (visual, textual, interactive) and gender responses, the system achieves superior predictive accuracy for engagement and conversion metrics compared to generic models. Validation across diverse campaigns demonstrates reduced wasted ad spend, improved personalization, and enhanced customer satisfaction, offering a scalable solution for brands seeking data-informed gender segmentation in competitive digital landscapes.
Disclaimer: Curated by HT Syndication.
