International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

Revolutionizing Market Research with Real-Time Behavioral Analytics and Ad Measurement

Author(s) Avinash Rahul Gudimetla
Country United States
Abstract This article explores how market research has been revolutionized through the integration of AI-driven adaptive survey methodologies with cookie tracking and ad measurement capabilities. The comprehensive solution addresses traditional challenges in consumer research by implementing an event-driven architecture that dynamically adjusts surveys based on respondent behavior. The platform incorporates sophisticated machine learning models that analyze patterns like response time and engagement levels to improve the survey experience. Concurrently, cookie tracking capabilities gather insights on digital interactions while ad measurement tools connect campaign performance to consumer behavior. Natural language processing further enhances the system by analyzing open-ended responses alongside engagement metrics. This unified approach bridges the gap between stated preferences and actual behaviors, establishing a new paradigm for understanding consumer decision journeys across multiple touchpoints while maintaining strict privacy compliance through privacy-by-design methodologies.
Keywords Keywords : Adaptive Surveys, Behavioral Analytics, Cookie Tracking, Machine Learning, Natural Language Processing
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-16
Cite This Revolutionizing Market Research with Real-Time Behavioral Analytics and Ad Measurement - Avinash Rahul Gudimetla - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2451
DOI https://doi.org/10.71097/IJSAT.v16.i1.2451
Short DOI https://doi.org/g88sbk

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