Aims: Consumer neuroscience increasingly integrates neurophysiological measurement with self-report methods, yet a comprehensive quantitative synthesis across different neurophysiological modalities within a common meta-analytic framework has remained limited. This meta-analysis systematically evaluates the association between EEG, eye-tracking, galvanic skin response (GSR), and multimodal measures and consumer outcomes (purchase intention, brand attitude, advertisement evaluation, and preference) reported in empirical studies published between 2010 and 2024. Materials and Methods: Following PRISMA 2020 guidelines, 3,109 records were screened, resulting in 22 primary studies included in the final analysis. Effect sizes were synthesized in two independent pools (standardized mean differences and Fisher z-transformed correlations) using random-effects models (REML with Knapp-Hartung adjustment). Results: The pooled effect sizes were moderate and statistically significant (SMD: d = 0.47, 95% CI [0.18, 0.75]; correlation: r ≈ 0.33, 95% CI [0.07, 0.61]), with high heterogeneity observed across studies (I² = 77.3%–84.1%). None of the tested moderators reached statistical significance after FDR correction. Publication bias was detected in the SMD pool, but corrected estimates remained significant. Conclusion: Neurophysiological measures provide meaningful but context-dependent insights into consumer behavior, functioning as complementary rather than universal predictors whose explanatory value varies depending on stimulus characteristics, measurement modality, and experimental design.