Textile Articles

Enhancing Retail Outcomes with Google My Business and Online Reviews

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Amisha Tandon, Post Graduate Academic Scholar, Department of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Govt of India, Daman Campus.

Dr. Vidhu Sekhar P, Assistant Professor, Department of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Govt of India, Daman Campus.

Abstract

In an increasingly digital marketplace, bridging the gap between online interest and physical store visits is a critical challenge for retailers. This paper presents a case study on the strategic use of Google My Business (GMB) by leading fashion and lifestyle brands under Raymond— ColorPlus, Park Avenue, Parx, Made to Measure, Ready to Wear, Ethnix, and The Raymond Shop. By implementing targeted GMB optimization strategies, these brands aimed to enhance local search visibility, strengthen customer engagement, and drive footfall and sales. The study also investigates the influence of online reviews on consumer purchasing behavior, exploring how such feedback shapes brand perception, fosters trust, and informs buying decisions. Through a blend of digital strategy analysis and consumer behavior insights, the research underscores both the opportunities and challenges of leveraging online platforms to influence real-world retail outcomes.

Introduction

The retail industry today faces the challenge of translating online interest into tangible store visits. Recognizing the potential of Google My Business (GMB), the brands ColorPlus, Park Avenue, Parx, Made to Measure, Ready to Wear, Ethnix, and The Raymond Shop. Implementing comprehensive GMB optimization strategies to improve its visibility in local search results, foster stronger customer engagement, and ultimately boost sales and brand credibility. This case study outlines the key challenges, strategies employed, and remarkable results achieved by these brands. This paper investigates the impact of online reviews on customer purchasing behavior, emphasizing their role in shaping perceptions, building trust, and driving sales across diverse shopping environments. By examining key behavioral patterns and consumer psychology, this research highlights how online reviews empower customers and offer valuable feedback for businesses, while also presenting challenges in reputation management and customer engagement.

Literature Review

Keerthana, B., & Aravindaraj, P. (2024). The study investigates the influence of consumer reviews on online purchase behavior using a quantitative methodology. Techniques such as logistic regression and chi-square tests were applied to analyze data. Findings suggest that online feedback significantly affects consumer trust and decision-making in e-commerce. The study aims to explore how consumer feedback shapes buying habits and perceptions of product quality. Chen, T., Samaranayake, P., Cen, X., Qi, M., & Lan, Y. (2024). This research examines the role of online reviews on consumers' purchasing decisions through an eye-tracking methodology. The study analyzes visual attention and behavioral patterns, revealing that negative comments tend to attract more attention than positive ones, particularly among female consumers. The objective is to understand how visual attention and gender moderate the influence of online reviews.

Salman, M. H., & Ishrat, A. (2024). This paper explores the impact of online reviews and ratings on consumer purchase decisions in e-commerce. A mixed-method approach, combining qualitative and quantitative analyses, was utilized to gather insights. The findings highlight that online reviews and ratings are pivotal in shaping trust and driving consumer decisions. The study focuses on understanding the factors influencing consumer trust in online reviews and their subsequent purchasing behavior.

Zhang, X., & Zhao, H. (2023). This study investigates the role of online reviews in shaping consumer trust and purchase intentions in the e-commerce sector. Using a survey-based quantitative methodology, the research analyzes data from 250 respondents. Findings reveal that detailed written reviews and high star ratings significantly enhance consumer trust, while negative reviews deter purchasing decisions. The study aims to provide insights into how businesses can leverage online reviews to build stronger customer relationships.

Lee, J., & Kim, S. (2023). This research explores the influence of online reviews on consumer behavior in the context of retail and e-commerce. A mixed-method approach was employed, combining focus group discussions and statistical analysis of survey data. Findings indicate that recent reviews and reviewer credibility are critical factors in driving purchase decisions. The objective is to understand how businesses can optimize their review management strategies to improve customer engagement and satisfaction.

Objectives

The research delves into customer actions after reading reviews, such as visiting a business website, making contact, or opting for an alternative. These actions provide insights into how reviews directly affect purchasing decisions. • To investigate the impact of online reviews on customer purchasing behavior in both e- commerce and retail stores of Raymond. • To analyze the influence of review factors such as content, star ratings, review recency, and reviewer credibility on consumer trust and decision-making. • To explore customer actions taken because of positive or negative online reviews, such as visiting websites, contacting businesses, or choosing alternatives. • To study consumer tendencies and motivations as contributors to review platforms.

• To provide actionable insights for businesses to optimize their online review management strategies and enhance customer engagement and satisfaction.

Research Design

In this study, a sample of 80 respondents was collected using a convenience sampling method, targeting individuals who actively use Google to search for local businesses. This approach was chosen due to its ease of access and feasibility within the given time frame for data collection. While convenience sampling allows efficient access to participants, it is acknowledged that the sample may not fully represent the broader population of consumers using online reviews. The data collection instrument consisted of structured close-ended, multiple-choice questions (MCQs) and a five-point Likert scale. These tools were specifically designed to capture strong and reliable findings. The questionnaire was divided into four sections to address distinct aspects of the research. Respondents provided information on their usage patterns of Google for local businesses, the influence of reviews on their purchasing decisions, actions taken based on reviews, and their behavior as reviewers. The structured nature of the questions ensured consistency across responses, facilitating easier comparison and statistical analysis. The use of the Likert scale allowed the researchers to measure the intensity of respondents' opinions and attitudes toward specific review factors, such as star ratings, review recency, and content relevance. This provided a nuanced understanding of how online reviews affect consumer trust and decision-making. Despite the limitations inherent in self-reported data and convenience sampling, the study's design enables valuable insights into the impact of online reviews on customer purchasing behavior. By targeting individuals who frequently engage with online review platforms, the study ensures the relevance and accuracy of the data collected. The structured nature of the questionnaire aids in capturing diverse perspectives, allowing the researchers to identify patterns, correlations, and the critical factors driving consumer behavior. Despite relying on convenience sampling, the study aims to provide a comprehensive understanding of the role of online reviews in shaping purchasing decisions. This structured approach contributes to the reliability and validity of the findings, which are expected to yield actionable insights for businesses seeking to enhance their online review strategies.

Hypothesis

Chi square test-I

H0: Google reviews do not influence the decision to visit or contact a business. H1: Google reviews influence the decision to visit or contact a business. How important are Google reviews when deciding to visit or contact a business? * Have you ever changed your mind about visiting a business after reading reviews? Crosstabulation Count

Chi-Square Tests

Interpretation

The p-value is 0.049, which is less than the alpha value (0.05), hence the null hypothesis is rejected. Therefore, there is a significant relationship between the variables being tested. Therefore, Google reviews influence the decision to visit or contact a business.

Chi square test-II

H0: There is no relationship between reading multiple reviews and changing one’s mind about visiting a business after reading reviews. H1: People who read multiple reviews are more likely to change their mind about visiting a business based on the reviews. Have you ever changed your mind about visiting a business after reading reviews? * Do you read multiple reviews before deciding?

Crosstabulation Count

a. 5 cells (55.6%) have expected count less than 5. The minimum expected count is .32.

Interpretation

The p-value is 0.016, which is less than the alpha value (0.05). Hence, the null hypothesis is rejected. Therefore, there is a significant relationship between the variables being tested. Therefore, People who read multiple reviews are more likely to change their mind about visiting a business based on the reviews.

Findings

The research highlights significant insights into the influence of online reviews on customer purchasing behavior. Google reviews are shown to be a critical factor, driving customers to engage with businesses by visiting their websites or making direct contact. The study emphasizes that individuals who read multiple reviews are more likely to alter their decisions regarding visiting a business, underscoring the importance of comprehensive feedback in building trust. Critical review elements such as quality, star ratings and reviewer credibility play a pivotal role in shaping consumer trust and decision-making processes. Both positive and negative reviews directly impact customer actions, including visiting business websites, contacting businesses, or choosing alternatives when necessary. Furthermore, the research explores behavioral tendencies and motivations of consumers as contributors to review platforms, revealing how these actions influence purchasing decisions. Business should prioritize effective online review management strategies. This includes actively monitoring feedback, addressing customer concerns, and fostering engagement to optimize satisfaction and strengthen their online presence. Overall, the findings underscore the essential role of structured reviews in shaping consumer behavior while providing actionable strategies for businesses to thrive in a digital marketplace.

Suggestions

To strengthen their digital presence, brands must prioritize online review management and utilize strategic tools to enhance customer engagement. Reviews play a pivotal role in influencing purchasing decisions. Google reviews, in particular, are critical for driving customer interactions, whether it is visiting a website or contacting a business directly. Brands can actively encourage customers to leave detailed reviews post-purchase by engaging them through personalized follow-ups or offering incentives like loyalty points, discounts, or exclusive benefits. Highlighting reviews from credible sources, such as verified customers or influencers, further builds authenticity and trust among potential buyers. Adding products to the Google business page is essential for creating a seamless user experience. This feature allows customers to browse offerings directly, making it easier to connect with the brand and fostering deeper engagement. Additionally, brands can harness the power of Google Merchant Center to generate interactive product-rich snippets for search listings. These visually appealing and informative snippets stand out in search results, increasing click-through rates and driving more sales. Brands must ensure the visibility of reviews on Google and other platforms, showcasing them prominently to attract potential customers. Proactive and thoughtful responses to both positive and negative feedback are vital. Positive reviews can also be leveraged across marketing channels like social media and newsletters to amplify their impact and establish credibility. Using analytics tools to monitor trends in customer feedback allows businesses to identify recurring patterns, refine offerings, and target areas for improvement. Educating customers about the significance of reviews and encouraging them to read multiple perspectives promotes informed decision-making, which benefits both customers and businesses. For example, campaigns emphasizing the value of reviews in shaping purchasing decisions can motivate engagement and deepen consumer trust. Cultivating an approachable and consistent brand personality through thoughtful communication and engagement strategies ensures loyalty over the long term.

Conclusion

This study highlights the profound impact of online reviews on consumer purchasing behavior, demonstrating their pivotal role in shaping customer trust and driving engagement. By investigating patterns of usage, the influence of reviews, and consumer motivations, the research underscores how platforms like Google empower informed decision-making. Reviews with comprehensive feedback, credible sources, and balanced star ratings emerge as crucial drivers of consumer actions and preferences, enabling businesses to refine their online presence and foster customer loyalty. In addressing the retail industry's challenge of converting online interest into tangible store visits, this study examines the strategic use of Google My Business (GMB). Brands such as ColorPlus, Park Avenue, Parx, Made to Measure, Ready to Wear, Ethnix, and The Raymond Shop have demonstrated the effectiveness of optimized GMB strategies in enhancing visibility, strengthening customer engagement, and boosting sales and credibility. This case study highlights key challenges, strategies employed, and significant results achieved. The research explores how online reviews influence perceptions, build trust, and drive sales across various shopping contexts. It emphasizes their dual role in empowering customers and offering invaluable feedback to businesses, while also addressing the challenges posed by reputation management and customer engagement. By employing proactive strategies like personalized follow-ups, strategic review management, and leveraging tools such as Google Merchant Center, businesses can harness the potential of online reviews to build lasting relationships, foster trust, and thrive in the competitive digital marketplace.

References

Chen, T., Samaranayake, P., Cen, X., Qi, M., & Lan, Y. (2024). The Role of Online Reviews in Consumers' Purchasing Decisions: An Eye-Tracking Study. Keerthana, B., & Aravindaraj, P. (2024). Influence of Consumer Reviews on Online Purchase Behavior: A Quantitative Study. Lee, J., & Kim, S. (2023). Influence of Online Reviews on Consumer Behavior in Retail and E-commerce. Salman, M. H., & Ishrat, A. (2024). Impact of Online Reviews and Ratings on Consumer Purchase Decisions in E-commerce. Zhang, X., & Zhao, H. (2023). Online Reviews, Consumer Trust, and Purchase Intentions in E-commerce.

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