Scenario-Driven Brand Positioning Strategies Informed by Real-Time Market Intelligence and Quantitative Consumer Insights

Author(s)	Mr. Harshit Nilesh Ranaware
Country	India
Abstract	In an era of rapid market evolution, brands must adapt to shifting consumer preferences and competitive landscapes to maintain relevance. This study proposes a scenario-driven framework for brand positioning, integrating real-time market intelligence from curated social media datasets and quantitative consumer insights from structured surveys. Utilizing machine learning models and sentiment analysis, the research evaluates how brands can develop adaptive positioning strategies across diverse market scenarios. Findings indicate that scenario-based narratives enhance consumer resonance by up to 84%, with predictive models achieving 89% accuracy in forecasting preference shifts. This framework provides marketers with a robust toolset to navigate uncertainty and optimize brand equity.
Keywords	Brand Positioning, Scenario Planning, Real-Time Market Intelligence, Quantitative Consumer Insights, Machine Learning
Field	Business Administration
Published In	Volume 7, Issue 4, July-August 2025
Published On	2025-07-23
DOI	https://doi.org/10.36948/ijfmr.2025.v07i04.51867
Short DOI	https://doi.org/g9t2f3

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