• Measurement quality, construct validity, and data reliability emerged as central themes, with emphasis on better marketing constructs, the reliability of informant reports, handling sparse or qualitative data, and the importance of effect size and statistical power for credible inference. [5], [7], [14], [13]

• Emphasis on multivariate data analysis for uncovering structure and market positions through factor-analytic critique, prior-knowledge factoring, perceptual mapping, and overlapping clustering for more nuanced segmentation. [4], [10], [9], [8]

• Decision support and formal modeling become central for marketing decisions, integrating decision-support systems, measured power, and dynamic channel/territory considerations to guide managerial action. [19], [3], [11], [18], [20]

• Dynamic advertising response modeling and feedback-based market response approaches explore how markets adapt, including time-series analyses of advertising effects and models that detect structural shifts. [12], [17]