Research Article

The Impact of Customer Reviews and Ratings on Brand Perception of GRWM: Get Ready With Me Cosmetics

64 reads
Psych Educ Multidisc J, 2026, 58 (6), 778-787, doi: 10.70838/pemj.580601, ISSN 2822-4353

Abstract

This study examined the impact of customer reviews and customer ratings on the brand perception of GRWM (Get Ready With Me) Cosmetics among Filipino consumers using the Elaboration Likelihood Model (ELM) as the theoretical framework. Specifically, the study investigated how customer reviews influence brand perception through the central route of information processing and how customer ratings affect brand perception through the peripheral route. A quantitative explanatory research design was employed, utilizing a structured online survey administered to 385 consumers of GRWM Cosmetics in the Philippines who were at least 18 years old and had prior experience using the brand. Data were analyzed using descriptive statistics and Partial Least Squares Structural Equation Modeling (PLS-SEM) in RStudio. Results indicated that respondents highly valued customer reviews (M = 4.21, SD = 0.87) and customer ratings (M = 4.22, SD = 0.86). Customer reviews significantly influenced the central route (β = 0.897, p < .001), while customer ratings significantly influenced the peripheral route (β = 0.776, p < .001). Both the central route (β = 0.424, p < .001) and peripheral route (β = 0.500, p < .001) significantly predicted brand perception. Mediation analysis revealed that the central and peripheral routes partially mediated the relationships between customer reviews, customer ratings, and brand perception. The findings confirm the applicability of the ELM in the Philippine cosmetics industry and underscore the importance of managing both detailed customer feedback and rating systems to strengthen positive brand perceptions.
Keywords: customer reviews, customer ratings, brand perception, Elaboration Likelihood Model, cosmetics industry
Default avatar

Blockchain Confirmation

Loading...
If you want to upload this article to SciMatic Hybrid Blockchain, install MetaMask extension to your web browser, create a wallet and buy SCI coins at SciMatic using credit or contact your country coordinator.
One article costs 10 SCI coins to be in the Blockchain. Buy SCI Coins

Bibliographic Information

Carmela Marie Tundag, Daniella Surig, John Harvey Alfanta, Harvie Largo, Angelo Aguanta, Alnie Joy Beraño, Russell Azucenas, Tito Tagpuno, Cirilo Adorable, Jessalyn M. Alqueza, Stella Marie Botanas, Jethru Botanas, (2026). The Impact of Customer Reviews and Ratings on Brand Perception of GRWM: Get Ready With Me Cosmetics, Psychology and Education: A Multidisciplinary Journal, 58(6): 778-787
Bibtex Citation
@article{carmela_marie_tundag2026pemj,
author = {Carmela Marie Tundag and Daniella Surig and John Harvey Alfanta and Harvie Largo and Angelo Aguanta and Alnie Joy Beraño and Russell Azucenas and Tito Tagpuno and Cirilo Adorable and Jessalyn M. Alqueza and Stella Marie Botanas and Jethru Botanas},
title = {The Impact of Customer Reviews and Ratings on Brand Perception of GRWM: Get Ready With Me Cosmetics},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2026},
volume = {58},
number = {6},
pages = {778-787},
doi = {10.70838/pemj.580601},
url = {https://scimatic.org/show_manuscript/8194}
}
APA Citation
Tundag, C.M., Surig, D., Alfanta, J.H., Largo, H., Aguanta, A., Beraño, A.J., Azucenas, R., Tagpuno, T., Adorable, C., Alqueza, J.M., Botanas, S.M., Botanas, J., (2026). The Impact of Customer Reviews and Ratings on Brand Perception of GRWM: Get Ready With Me Cosmetics. Psychology and Education: A Multidisciplinary Journal, 58(6), 778-787. https://doi.org/10.70838/pemj.580601

Author Information

  • To change your profile photo, login to scimatic.org, go to your profile and change the photo.
  • Provide a face photo, and not full body.
  • It is better to remove the background from your photo. Go to Remove Background and then upload to profile
  • If you are unable to login, go to Reset My Password provide your email registered with the article and get new password.
  • In case of any other problem, contact your editor directly or write to us at info @ scimatic.org