Automating Consumer Insights: Building a Cloud-Driven Data Ecosystem for Smarter Marketing Decisions

Authors: Shafeeq Ur Rahaman

DOI: https://doi.org/10.5281/zenodo.14352108

Short DOI: https://doi.org/g8t7mw

Country: India

Full-text Research PDF File:   View   |   Download

Abstract: The Volume and complexity continue to increase exponentially, making consumer data one of the more critical challenges for digital marketers in actionable insights. From this context, the paper contributes a framework for automating the extraction of consumer insights through cloud-driven data ecosystems, which would allow marketers to make rapid and efficacious decisions. This proposed framework is capable of performing real-time data processing, pattern recognition, and trend forecasting with the help of machine learning, advanced analytics, and cloud technologies. It automates the analytics of big and diverse data sets on consumer behavior, preferences, and engagement to provide personalized marketing strategies. The approach makes decision-making more effective and marketing campaigns more efficient toward better customer experiences and business outcomes. The framework further integrates various sources of data-input from social media, transactional data, and web analytics-into a single view of the customer journey. AI algorithms also use predictive analytics to enable marketers to respond proactively to consumer needs. Overall, the proposed system empowers data-driven insights toward smarter, informed decisions in digital marketing

Keywords: consumer insight, cloud-driven ecosystem, data automation, marketing decision, machine learning, real-time analytics, predictive analytics, digital marketing, AI algorithms, consumer behavior, personalized marketing, trend forecasting, customer experience, data integration, decision-making

Paper Id: 231790

Published On: 2021-07-05

Published In: Volume 9, Issue 4, July-August 2021

Share this