Determinants of consumer-based brand equity in the FMCG personal care sector: An empirical PLS-SEM examination

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Type of the article: Research Article

Abstract
The growing competitiveness of India’s FMCG personal care sector has increased the strategic importance of strengthening Consumer-Based Brand Equity (CBBE), particularly in categories with high product similarity and low switching costs. Under-standing the determinants of brand equity is therefore essential for guiding brand differentiation and long-term consumer loyalty. This study aims to identify and examine the determinants of consumer-based brand equity in the FMCG personal care sector using PLS-SEM. Primary data were collected from 1,137 consumers across five major Indian regions between October 2024 and March 2025 using purposive sampling and structured questionnaire. Eight constructs and sixteen hypotheses were tested using Partial Least Squares Structural Equation Modelling. The results show strong and statistically significant effects across all hypothesized paths (p < 0.001). Brand association demonstrated the strongest influence on brand preference (β = 0.400, t = 12.633), while brand awareness had its highest effect on brand trust (β = 0.333, t = 9.912). Perceived quality showed the strongest influence on brand experience (β = 0.261, t = 7.970). The mediating constructs — brand experience, preference, trust, and loyalty — significantly predicted overall brand equity, with brand trust exerting the greatest influence (β = 0.242, t = 6.034). The model demonstrated substantial explanatory power, with R² values ranging from 0.425 to 0.491, and acceptable model fit (SRMR = 0.054; NFI = 0.765). The results establish that cognitive and experiential brand drivers jointly shape CBBE, offering actionable insights for marketers aiming to strengthen loyalty and competitive positioning in the Indian FMCG personal care market.

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    • Figure 1. Conceptual model
    • Figure 2. Brand-wise respondent distribution
    • Figure 3. PLS-SEM
    • Figure 4. Results of Bootstrapping (PLS-SEM)
    • Table 1. Measurement scales
    • Table 2. Participants’ demographic data
    • Table 3. Validity statistics
    • Table 4. Fornell-Larcker criterion (discriminant validity)
    • Table 5. HTMT matrix
    • Table 6. VIF Inner Model Matrix
    • Table 7. The coefficient of determination (R²) for endogenous constructs
    • Table 8. Model Fit
    • Table 9. Test of hypothesized relationships
    • Conceptualization
      Varun Jewargi, Veerendrakumar M. Narasalagi
    • Data curation
      Varun Jewargi, Amith Donald Menezes, Subrahmanya Kumar N.
    • Formal Analysis
      Varun Jewargi, Veerendrakumar M. Narasalagi
    • Investigation
      Varun Jewargi, Amith Donald Menezes, Subrahmanya Kumar N.
    • Methodology
      Varun Jewargi, Veerendrakumar M. Narasalagi
    • Project administration
      Varun Jewargi, Amith Donald Menezes, Subrahmanya Kumar N.
    • Software
      Varun Jewargi
    • Validation
      Varun Jewargi, Veerendrakumar M. Narasalagi, Amith Donald Menezes, Subrahmanya Kumar N.
    • Visualization
      Varun Jewargi, Amith Donald Menezes
    • Writing – original draft
      Varun Jewargi, Veerendrakumar M. Narasalagi
    • Supervision
      Veerendrakumar M. Narasalagi, Subrahmanya Kumar N.
    • Resources
      Amith Donald Menezes, Subrahmanya Kumar N.
    • Writing – review & editing
      Amith Donald Menezes, Subrahmanya Kumar N.
    • Funding acquisition
      Subrahmanya Kumar N.