E-ISSN:2250-0758
P-ISSN:2394-6962

Research Article

Consumer Behavior

International Journal of Engineering and Management Research

2025 Volume 15 Number 2 April
Publisherwww.vandanapublications.com

Gender Dynamics in Digital Consumer Behavior: Analyzing Online Shopping Patterns and Advertising Preferences in Ludhiana City

Sharma K1*, Thakur S2, Mohan T3
DOI:10.5281/zenodo.15461235

1* Kawalpreet Sharma, Assistant Professor, Department of Business Management, Punjab College of Technical Education, Ludhiana, Punjab, India.

2 Shilpa Thakur, Assistant Professor, Department of Business Management, Punjab College of Technical Education, Ludhiana, Punjab, India.

3 Tanya Mohan, Assistant Professor, Department of Business Management, Punjab College of Technical Education, Ludhiana, Punjab, India.

Digital commerce is growing at an unprecedented rate, which has changed consumers' shopping behaviours, with gender influencing online buying tendencies and attitudes toward advertising. The research looks at gender differences in Ludhiana City's digital consumer behaviour with regard to purchasing patterns, brand interactions, and responses to digital advertising. A survey was used to collect data from a wide range of respondents across a variety of demographic segments. The findings demonstrate significant differences in shopping motives, product concerns, and responses to digital advertising, specifically evidence that women engage more with influencer based content, while men prioritize price, brand image, and technical specifications when purchasing. Other factors that influenced digital shopping behaviour were educational and income status; for example, higher income groups had more trust in purchasing online than lower income groups.
Through the study of advertising preferences, it was found that men and women show different reactions to marketing content. Women tended to have more favorable reactions when the advertising was visually appealing and evoked emotion; men preferred more direct and text-based advertising that included data. Trust in digital platforms differed greatly among genders; women tended to have less trust for new e-commerce websites that they were unfamiliar with. This research also provides marketers with valuable insights to implement gender-sensitive digital marketing strategies that take into account local consumer behaviors. Likewise, it emphasizes that cultural, social, and psychological components have implications for how genders differ in their online purchasing behavior. Lastly, we underscore the importance for businesses to establish practices that will build trust with customers, along with implementing advertising campaigns that are tailored to each gender’s unique preferences based on the findings. Future research can expand this form of examination across other Indian cities to identify greater trends in overall digital consumer trust.

Keywords: Gender Differences, Digital Consumer Behavior, Online Shopping, Advertising Preferences, E-commerce Websites, Consumer Purchasing Behaviour, Digital Consumer Trust

Corresponding Author How to Cite this Article To Browse
Kawalpreet Sharma, Assistant Professor, Department of Business Management, Punjab College of Technical Education, Ludhiana, Punjab, India.
Email: 		Sharma K, Thakur S, Mohan T, Gender Dynamics in Digital Consumer Behavior: Analyzing Online Shopping Patterns and Advertising Preferences in Ludhiana City. Int J Engg Mgmt Res. 2025;15(2):193-198.
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https://ijemr.vandanapublications.com/index.php/j/article/view/1740

Manuscript Received Review Round 1 Review Round 2 Review Round 3 Accepted
2025-03-12 2025-03-31 2025-04-22
Conflict of Interest Funding Ethical Approval Plagiarism X-checker Note
None Nil Yes 4.74

© 2025 by Sharma K, Thakur S, Mohan T and Published by Vandana Publications. This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License https://creativecommons.org/licenses/by/4.0/ unported [CC BY 4.0].

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Download PDFBack To Article1. Introduction2. Gender and Digital
Consumer Behavior3. Data Analysis
and Interpretation4. Findings and
Recommendations5. ConclusionReferences
Sharma K., et al. Gender Dynamics in Digital Consumer Behavior

1. Introduction

The digital revolution has changed consumer shopping behavior significantly. Online platforms are increasingly providing consumers with access, choice, and price competition. E-commerce has experienced substantial growth and has changed how consumers engage with brands, make purchasing decisions, and respond to advertisements (Chaffey, 2022). Online shopping is about more than just accessibility; it is indicative of broader social-economic shifts and cultural influences that shape consumer behavior. Within this process, gender plays a crucial role in consumer preferences for online shopping, trust in the use of digital spaces, and responses to marketing methods.

As digital consumerism rises, businesses must deal with the complexity of shopping behavior that is often gendered. Research continues to evidence that males and females shop in different ways, possessing different motivations, purchase patterns, and levels of trust in the e-commerce experience. Psychological and sociological theories suggest that men display goal-oriented shopping strategies with an interest in efficiency, quality, and value; while women display experience-oriented shopping strategies around aesthetics, emotional connections, and social validation (Dittmar et al., 2020). These patterns of behavior have been exacerbated in the online space where personalized marketing practices draw on gendered assumptions and have potential to engage consumers.

Moreover, digital marketing has adapted to gender biases, including traditional techniques like influencer marketing, personal recommendations, and targeted content. For instance, women are more likely to engage with influencers and product reviews on social media, while men are more likely to direct their attention to the specifications of the product and price. Marketers need to understand these essential differences to develop digital marketing campaigns that meet consumers' age and gender expectations. These gender biases are particularly relevant in urban cities like Ludhiana, where aspects of traditional and modern shopping behavior coexist and create an environment to facilitate adoption and engagement with the digital commerce ecosystem. As a Tier-2 city in India, Ludhiana serves as an interesting case for studying digital consumer behavior.

The city has experienced significant growth in internet penetration that has led to e-commerce platforms being more widely used by consumers. This differentiates Ludhiana from the metropolitan experience where online shopping is a very established practice. Ludhiana uniquely situates itself as a city that still values the retail shopping experience while also seeing online trends. Shopping behavior to date, has not recognized the diverse socio-economic landscape giving rise to varying shopper behavior during e-consumption, especially across gender in exploring digital shopping. Family supporting, income related class differences, cultural values, and past experience with e-consumption are all factors that potentially shape shopping preferences. The proliferation of online shopping from e-transacting, along with changing consumer habits has created the need for research to examine how gender shapes shopping habits and advertisement engagement in this landscape.

The objective of this study is to add to the existing literature on gender-based online buying behaviors and advertising preferences in Ludhiana City. It intends to provide valuable information for businesses and marketers looking to enhance their digital marketing approach through an understanding of how males and females respond to the online purchasing environment. Examining purchasing decisions, brand engagement, and attitudes towards online advertisements ultimately provides a holistic understanding of gender-based consumer behavior in the shifting context of a digital economy.

2. Gender and Digital Consumer Behavior

Extant literature shows that there are difference in feminine and masculine shopping behaviors associated with product choice, purchase frequency, and responses to online advertising (Dittmar et al., 2020). Women are more likely to engage peer recommendations, reviews, and influencer marketing, compared to men who prefer brand reputation, price, and technical features (Gong et al., 2021). These findings also extend to consumer reactions in digital context. Research illustrates that women prefer multimedia, strongly persuasive ads, whereas men are more likely to react to highly data-driven, informative marketing content (Smith & Johnson, 2020).


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However, these responses on occasion are influenced by geographic and demographic characteristics, warranting localized investigations aimed to understand consumer preferences better.

3. Data Analysis and Interpretation

Demographic Profile of Respondents

Age GroupMale (%)Female (%)
18-254045
26-353530
36-451515
46-551010

Table 1: Table on demographic profile of respondents

Interpretation-The demographic profile of our respondents illustrates that the sample included a range of age and gender distribution. As expected, the respondents were mostly from the younger group, with 40% of the males and 45% of the females in the 18-25 age range; this is the largest represented group. The second-largest group is the 26-35 age range, which comprises 35% males and 30% females. This demonstrates a large representation of young adults, who together account for a large portion of the sample. The representation decreases further into the middle-aged and older cohorts, with the 36-45 age group comprising 15% of both males and females, and the 46-55 age group only making up 10% of both males and females responding. We see a somewhat consistent gender distribution across the age cohorts with the females slightly out-represented at the younger cohort, and the males slightly out-represented in the 26-35 cohort, which is consistent with previous research that show gender differences. That said, the progressive decrease in older age cohorts indicates a majority young sample demographic. The structure of the sample could be interpreted in several ways depending on the context of the inquiry, including consumer behavior segments, workforce age profile, segment differences etc.In the case of data about consumer research, organizations aiming to appeal to younger demographics may have a wider reach, while companies looking to plan the workforce may want to have a plan for attracting and retaining older workers.

Behavioral Differences in Online Shopping

FactorMale Preference %Female Preference %
Prefers branded products6045
Relies on peer reviews4070
Uses discount offers5565
Engages in impulse buying3550

Table 2: Table on Behavioural differences in online shopping

Interpretation-The statistics on consumer behavior preferences between males and females reveal very important differences within purchasing patterns. For instance, a significantly larger percentage of males (60%) exhibit a preference for branded products than the percentage of females exhibiting a preference for branded products (45%). This indicates that men likely value brand recognition and perceived quality to a higher degree than females. Females demonstrated a higher reliance on peer reviews as 70% of females consider peer reviews before purchasing something versus only 40% of males, which indicates that females might be more susceptible to social proof from their peers or other members of a community rather than males, and this could represent a potential marketing opportunity. For example, both males and females admire discount offers, however females (65%) tend to redeem discounts more than males (55%). This indicates that females are more sensitive to price decreases than males. In addition, impulse buying behavior appears more common in females (50%) than males (35%), which suggests that females might be more willing to make impulse-buying decisions based off of emotion or immediate interest. These findings show some advantageous gender-based differences in consumer decision-making to facilitate advertising strategies, promotional campaigns, and product positioning. The study suggests that brands selling to males likely be successful representing brand prestige or quality assurance, while brands selling to females may enjoy using peer recommending and discount offers to help facilitate engagement and conversions

Income Level of Respondents

income LevelMale (%)Female (%)
low3035
middle5050
high2015

Table 3: Table on income level of respondents


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Interpretation-Based on the income level distribution of male and female respondents, the data indicates a relatively equal distribution of income levels across categories, with some differences. In the low-income category, more females (35%) fell into this category as compared to their male counterparts (30%), which may indicate that women work in lower paying jobs or are facing economic struggles. In the middle-income categories there is equal distribution of males and females with both genders at 50%, which indicates that there is a large portion of both males and females that classify into this economic category. In the low-income category, there were greater males in this category (20%) as compared to females (15%), which means that the average earnings of males and females were unequally estimated which could be a result of choosing different careers or career paths, industry representation, and/or the gender wage gap. Based on the distribution of wages and earnings it can be stated, the income distribution is quite equal in the middle-income categories, however, differences arise at both the low and high-income ranges showing more women are in the low-income category and more men in the high-income category. This insight may be of interest and relevance to policy makers, businesses and financial institutions in developing gender relevant economic policies, salary structures and financial planning.

Advertising Preferences by Gender

Advertisement TypeMale Preference (%)Female Preference (%)
Data driven advertisements7040
Influencer based content3065
Emotionally appealing ads4575
Direct promotional content6050

Table 4:Table on advertising preferences by gender

Interpretation-The data regarding the type of advertisements preferred suggests larger gender differentials among males and females and how each responded to the various advertising strategies. Males strongly preferred data-driven advertisements (70%) compared to females (40%), which indicate men are more influenced by marketing content and communicated facts, logic, and analysis.

However, females were more likely to prefer, and be swayed more by, influencer content (65%) over males (30%), which suggests females place trust and are affected by endorsements made by online personalities and public figures. Further, emotionally-based ads had greater impact on female respondents (75%) than males do (45%), suggesting females respond more staff positively to adverts that appeal to emotions, narrative building, or personal connections. In comparison, males (60%) have a slight preference to direct promotions compared to females (50%), which again suggests men are more predisposed to like advertisements that are plain and simple advertisements presenting product features and benefits. This provides a recommendation for advertisers. If targeting male consumers, marketers should use logical, data-driven named messaging, plus plain promotions. In comparison, brands that target the female consumer base should employ use of influencer marketing and ad content aimed at creating emotional connections to maximize impact.

4. Findings and Recommendations

Findings:

1. Women tend to engage more readily with influencer marketing, making them more likely to review products before purchasing.
2. Men tend to prioritize price and brand reputation over emotional involvement with the advertisement.
3. Women are more skeptical toward new e-commerce websites while men are more trusting toward brand familiarity.
4. From a socio-economic perspective, income and education are important factors in the access and use of digital shopping behaviors.

Recommendations:

1. Marketers need to create gender-sensitive advertising methods that resonate with consumers' tastes.
2. Companies need to implement trust-builders, such as secure payment methods, and verified customer reviews.
3. Marketers should develop personalized marketing campaigns to meet gender-specific shopping habits, and target audience engagement patterns.


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5. Conclusion

The research reveals prominent variations in digital consumer behavior between genders, especially concerning online shopping habits and advertising preferences while shopping in Ludhiana City, India. Women tend to be more influenced by follower-based content, take into account peer reviews and purchase recommendations, and justify their purchase decisions based on the emotional context of the advertisement. On the other hand, men emphasized elements like price, brand reputation, and technology specifications when it came to their purchase decisions. Women were also more likely to be skeptical of new e-commerce stores compared to their male counterparts, while men preferred content related to data, research, and direct marketing.

These results highlight the importance of businesses and marketers developing gender-sensitive strategies for digital environments. Enhanced personalized marketing strategies, trust-building programs, and specific advertising strategies can improve engagement and build brand loyalty. Socio-economic status, income, and education, all contribute to online shopping priorities and behavior, and attention to individual segments may be warranted.

The digital marketplace is continuously advancing, so future research should also consider larger geographic regions to identify emerging trends and further refine gender-based marketing approaches. Understanding these nuances will help businesses create even stronger, more inclusive, data-driven efforts to connect with diverse consumer groups across all sectors.

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