This study explores the impact of psychographic factors—namely self-image, emotions and mood, and motivation and desire—on consumer buying decisions specifically for luxury cosmetic brands. As consumer behavior becomes increasingly driven by emotional and psychological triggers, understanding the deeper motivations behind purchasing luxury beauty products is essential. Primary data was collected from 160 respondents through a structured questionnaire to analyze the relationships between variables and validate the proposed model. The study also considers demographic variables such as gender, age, and qualification, which influence these psychographic factors and help explain variations in purchasing patterns across different consumer segments. Using a conceptual framework that connects demographics to psychographic dimensions and ultimately to buying decisions, the research aims to uncover how internal psychological characteristics shape consumer preferences in the premium cosmetic market. The findings are expected to offer valuable insights to luxury brand marketers seeking to refine their positioning strategies and develop more emotionally resonant marketing campaigns that align with consumers’ self-perception and lifestyle aspirations.
Psychographic factors refer to the psychological attributes and intrinsic characteristics of individuals that influence their attitudes, behaviors, and decision-making processes. Unlike demographic factors—which include measurable traits like age, gender, and income—psychographic factors delve into aspects such as personality, values, interests, opinions, and lifestyle. These factors help marketers understand why consumers make certain choices, offering a more emotional and psychological layer of insight into consumer behavior.
Effect of Psychographic Factors on Buying Decision for Luxury Brands of Cosmetic Products
Psychographic factors have a profound influence on consumer buying behavior, particularly in the luxury cosmetics segment, where emotional and psychological needs often outweigh functional ones. Self-image plays a critical role, as consumers of luxury cosmetic brands often choose products that align with their aspirational identity. These individuals view such products not just as beauty enhancers but as extensions of their personality, lifestyle, and status. A luxury brand that communicates elegance, sophistication, or exclusivity appeals strongly to consumers who want to reflect these traits in their own self-image.
Emotions and mood significantly impact how consumers engage with luxury cosmetics. Emotional branding is a powerful tool used by high-end cosmetic companies to build deep emotional connections through storytelling, brand legacy, packaging, and sensory appeal. A consumer may purchase a luxurious lipstick not merely for its color or texture but for the emotional satisfaction, confidence, or indulgence it evokes. The act of buying becomes a personal experience tied to mood regulation and emotional upliftment.
Another important psychographic variable is motivation and desire, which drives consumers toward fulfilling psychological needs such as social status, self-reward, or belonging. Luxury cosmetics often symbolize success, self-care, or self-worth. Motivated by these internal desires, consumers may choose premium products even if they are significantly more expensive, as they fulfill not just a need for quality but also for recognition and esteem.
When these psychographic elements interact with consumer demographics such as age, gender, and qualification, they create diverse buying patterns. For instance, young professionals might be driven by the desire to look confident in corporate settings, while older consumers might associate luxury cosmetics with timeless beauty and self-respect. Therefore, understanding these psychological underpinnings helps brands craft marketing strategies that speak directly to the personal motivations behind luxury purchases.
In summary, psychographic factors—self-image, emotions and mood, motivation and desire—are central to the consumer decision-making process for luxury cosmetics. These factors help decode the deeper "why" behind the purchase, enabling luxury brands to position themselves more meaningfully and build lasting consumer relationships based on identity, emotion, and aspiration.
Research Gap
While existing studies by Vigneron & Johnson (2004), Husic & Cicic (2009), Wiedmann et al. (2009), and others have successfully highlighted the significant influence of psychographic factors—such as self-concept, emotional satisfaction, symbolic value, and exclusivity—on consumer behavior toward luxury brands, including cosmetics, much of this research remains concentrated on generalized luxury consumption patterns or focused on fashion and accessories. Additionally, many studies adopt a Western or East Asian context, leaving a gap in region-specific consumer behavior insights, particularly within emerging markets like India. There is also limited integration of multiple psychographic dimensions—such as lifestyle, personality traits, and motivations—in a single model to predict buying behavior specific to luxury cosmetic products. Therefore, a focused, empirically grounded study that synthesizes various psychographic variables and explores their direct effect on luxury cosmetic buying decisions in a specific cultural and demographic context is essential to bridge this gap and offer actionable insights to marketers.
Conceptual Framework
The conceptual framework illustrates the influence of demographic and psychographic factors on consumer buying decisions. Demographic elements—gender, age, and qualification—serve as foundational variables that shape key psychographic factors: self-image, emotions and mood, and motivation and desire. These psychographic variables act as mediators, translating demographic traits into psychological responses that ultimately drive buying behavior. The model suggests that individuals’ internal states, shaped by who they are demographically, play a crucial role in determining their purchasing decisions. This framework highlights the interconnectedness between personal attributes and psychological drivers in consumer behavior.
Data Analysis
Demographic Factors
|
Sr No. |
Particular |
Category |
Frequency |
Percent |
|
1 |
Gender |
Male |
55 |
34.4 |
|
Female |
105 |
65.6 |
||
|
2 |
Age |
Up to 25 Years |
113 |
70.6 |
|
26 to 35 Years |
6 |
3.8 |
||
|
36 to 45 Years |
27 |
16.9 |
||
|
40 to 60 Years |
14 |
8.8 |
||
|
3 |
Qualification |
Up to SSC |
27 |
16.9 |
|
HSC |
16 |
10.0 |
||
|
Graduation |
45 |
28.1 |
||
|
Post Graduation |
39 |
24.4 |
||
|
Professional Degree |
33 |
20.6 |
The demographic profile of the respondents shows a predominance of females (65.6%) compared to males (34.4%). The majority of participants are young, with 70.6% aged up to 25 years, while smaller proportions fall into the 26-35 years (3.8%), 36-45 years (16.9%), and 40-60 years (8.8%) age groups. Regarding educational qualifications, the sample is fairly well-educated: 28.1% have completed graduation, 24.4% hold postgraduate degrees, and 20.6% possess professional degrees, while smaller segments have up to SSC (16.9%) or HSC (10%) education levels. This indicates a young, predominantly female, and moderately to highly educated respondent group.
Objective and Hypothesis
Objective 1 To Study psychographic factor for Luxury Brands of Cosmetic Products.
Null Hypothesis H01: There is no difference in factors of psychographic factor in Luxury Brands of Cosmetic Products.
Alternates Hypothesis H11: There is a difference in factors of psychographic factor in Luxury Brands of Cosmetic Products.
To Test the above null hypothesis Friedman test is applied and Chi-square test is obtained results are as follows.
|
Test Statisticsa |
|
|
N |
160 |
|
Chi-Square |
16.942 |
|
df |
2 |
|
P-value |
.000 |
|
a. Friedman Test |
|
Interpretation: Above results indicate that p-value is 0.000. It is less than standard value of 0.05. Therefore, the chi-square test is rejected. Hence null hypothesis is rejected and alternate hypothesis is accepted.
Conclusion: There is a difference in factors of psychographic factor in Luxury Brands of Cosmetic Products.
Findings: To understand the findings of hypothesis, mean rank of psychographic factor in Luxury Brands of Cosmetic Products are obtained and presented in the following table.
|
Ranks |
|
|
|
Mean Rank |
|
Self-Image |
1.79 |
|
Emotions & Mood |
2.22 |
|
Motivation & Desire |
2.00 |
The mean rank analysis of psychographic factors influencing the perception of luxury cosmetic brands reveals that Self-Image holds the highest importance among respondents, with the lowest mean rank of 1.79, indicating it is the most prioritized factor. Following this, Motivation & Desire ranks second with a mean rank of 2.00, suggesting a strong influence on consumer behavior but slightly less than self-image. Lastly, Emotions & Mood has the highest mean rank at 2.22, indicating it is the least influential among the three psychographic factors, though still significant in shaping consumer preferences towards luxury cosmetic products.
Objective 2 To Study impact of psychographic factor for Luxury Brands of Cosmetic Products on Buying behaviour.
Null Hypothesis H02: There is no impact of psychographic factor for Luxury Brands of Cosmetic Products on Buying behaviour.
Alternate Hypothesis H12: There is an impact of psychographic factor for Luxury Brands of Cosmetic Products on Buying behaviour.
To Test the above null hypothesis correlation test is applied and obtained results are as follows.
|
Correlations |
|||||
|
|
Buying Decision |
Self-Image |
Emotions & Mood |
Motivation & Desire |
|
|
Buying Decision |
Pearson Correlation |
1 |
.212** |
.416** |
.306** |
|
P-value |
|
.007 |
.000 |
.000 |
|
|
N |
160 |
160 |
160 |
160 |
|
|
Self-Image |
Pearson Correlation |
.212** |
1 |
.585** |
.270** |
|
P-value |
.007 |
|
.000 |
.001 |
|
|
N |
160 |
160 |
160 |
160 |
|
|
Emotions & Mood |
Pearson Correlation |
.416** |
.585** |
1 |
.297** |
|
P-value |
.000 |
.000 |
|
.000 |
|
|
N |
160 |
160 |
160 |
160 |
|
|
Motivation & Desire |
Pearson Correlation |
.306** |
.270** |
.297** |
1 |
|
P-value |
.000 |
.001 |
.000 |
|
|
|
N |
160 |
160 |
160 |
160 |
|
|
**. Correlation is significant at the 0.01 level (2-tailed). |
|||||
Interpretation: Above results indicate that p-value is less than standard value of 0.05. Therefore, the correlation test is rejected. Hence null hypothesis is rejected and alternate hypothesis is accepted.
Conclusion: There is an impact of psychographic factor for Luxury Brands of Cosmetic Products on Buying behaviour.
Findings: The correlation analysis reveals significant positive relationships among the psychographic factors—Self-Image, Emotions & Mood, and Motivation & Desire—and the Buying Decision in luxury cosmetic brands. Specifically, Buying Decision has a moderate positive correlation with Emotions & Mood (r = 0.416, p < 0.01), indicating that consumers’ emotional states strongly influence their purchase choices. It also shows weaker but significant positive correlations with Motivation & Desire (r = 0.306, p < 0.01) and Self-Image (r = 0.212, p < 0.01), suggesting that consumers' desires and their self-concept also contribute to buying behavior. Among the psychographic factors themselves, Self-Image and Emotions & Mood have a strong correlation (r = 0.585, p < 0.01), showing these aspects are closely linked in shaping consumer attitudes. Overall, these findings highlight that emotional factors and personal motivations significantly impact luxury cosmetics purchasing decisions.
Regression Model-1
|
Model Summary |
||||
|
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|
1 |
.462a |
.213 |
.198 |
14.934 |
|
a. Predictors: (Constant), Motivation & Desire, Self-Image, Emotions & Mood |
||||
The model summary indicates that the three psychographic factors—Motivation & Desire, Self-Image, and Emotions & Mood—together explain about 21.3% of the variance in the Buying Decision for luxury cosmetic products, as reflected by the R Square value of 0.213. The adjusted R Square of 0.198 suggests a slight reduction when accounting for the number of predictors, which is typical in regression analysis. The multiple correlation coefficient (R) of 0.462 indicates a moderate overall relationship between these predictors and the Buying Decision. The standard error of estimate (14.934) reflects the average deviation of observed buying decisions from the model’s predicted values, providing insight into the model’s accuracy. Overall, the model shows a moderate but meaningful ability to predict consumer buying decisions based on these psychographic factors.
|
ANOVAa |
||||||
|
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|
|
Regression |
9438.580 |
3 |
3146.193 |
14.107 |
.000b |
|
Residual |
34790.920 |
156 |
223.019 |
|
|
|
|
Total |
44229.500 |
159 |
|
|
|
|
|
a. Dependent Variable: Buying Decision |
||||||
|
b. Predictors: (Constant), Motivation & Desire, Self-Image, Emotions & Mood |
||||||
Above results indicates that p-value is 0.000. It is less than 0.05. It indicates that linear regression model is good to fit.
|
Coefficientsa |
||||||
|
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
||
|
B |
Std. Error |
Beta |
||||
|
|
(Constant) |
31.112 |
7.723 |
|
4.028 |
.000 |
|
Self-Image (SI) |
-.090 |
.102 |
-.078 |
-.880 |
.380 |
|
|
Emotions & Mood (EAM) |
.436 |
.097 |
.400 |
4.494 |
.000 |
|
|
Motivation & Desire (MAD) |
.202 |
.073 |
.208 |
2.772 |
.006 |
|
|
a. Dependent Variable: Buying Decision |
||||||
Above table indicate the values of coefficients and corresponding significance. According to p-value of the Buying Decision factors it is observed that except “Self-Image” all remaining variables has significant impact on Buying Decision factors.
The mathematical equation to estimate the Buying Decision factors is presented as follows:
Buying Decision = 31.112 – 0.90*SI + 0.436*EAM + 0.202*MAD
SEM Model
The Structural Equation Model (SEM) illustrates the influence of three key psychographic factors—Self-Image, Emotions & Mood, and Motivation & Desire—on the Buying Decision of consumers for luxury cosmetic brands. The model reveals that Emotions & Mood has the strongest positive impact (path coefficient = 0.411) on Buying Decision, followed by Motivation & Desire (0.213), while Self-Image shows a negligible and negative effect (-0.032). The R² value of 0.251 indicates that these three factors collectively explain 25.1% of the variance in consumer buying decisions. Each construct is validated by strong outer loadings from their respective observed indicators, confirming the reliability of the measurement model. Overall, the SEM highlights that emotional and motivational aspects significantly drive purchase behavior in the luxury cosmetics market.
Independent Variable: Self-Image (SI), Emotions & Mood (EAM), Motivation & Desire (MAD)
Dependent Variable: Buying Decision
The study concludes that psychographic factors—Self-Image, Emotions & Mood, and Motivation & Desire—significantly influence buying decisions for luxury cosmetic brands. The Friedman test confirmed differences among these factors, with Self-Image being the most prioritized, followed by Motivation & Desire and Emotions & Mood. Correlation analysis showed positive and significant relationships between these factors and buying behavior, especially highlighting the strong impact of Emotions & Mood. The regression model further substantiated these findings, explaining 21.3% of the variance in buying decisions and demonstrating a good model fit (p = 0.000). Among the predictors, Emotions & Mood and Motivation & Desire had a significant positive effect on buying decisions, while Self-Image did not show a statistically significant impact in the regression. Overall, emotional and motivational psychographic factors play a crucial role in shaping consumer behavior towards luxury cosmetic products.
Path Coefficient
|
|
Buying Decision |
|
Emotions & Mood |
0.411 |
|
Motivation & Desire |
0.213 |
|
Self-Image |
-0.032 |
The path coefficient analysis indicates the strength and direction of influence each psychographic factor has on the Buying Decision for luxury cosmetic products. Emotions & Mood has the strongest positive effect with a coefficient of 0.411, suggesting that consumers' emotional states significantly influence their purchase decisions. Motivation & Desire also shows a positive impact with a coefficient of 0.213, indicating a moderate influence on buying behavior. In contrast, Self-Image has a negative and negligible path coefficient of -0.032, implying it does not significantly affect the buying decision in this model. These findings underscore the dominant role of emotional and motivational factors in shaping consumer preferences for luxury cosmetics.
Outer Loadings
|
|
Buying Decision |
Emotions & Mood |
Motivation & Desire |
Self-Image |
|
BD1 |
0.309 |
|
|
|
|
BD2 |
0.527 |
|
|
|
|
BD3 |
0.823 |
|
|
|
|
BD4 |
0.665 |
|
|
|
|
BD5 |
0.788 |
|
|
|
|
EAM1 |
|
0.787 |
|
|
|
EAM2 |
|
0.847 |
|
|
|
EAM3 |
|
0.781 |
|
|
|
EAM4 |
|
0.813 |
|
|
|
MAD1 |
|
|
0.580 |
|
|
MAD2 |
|
|
0.838 |
|
|
MAD3 |
|
|
0.486 |
|
|
MAD4 |
|
|
0.776 |
|
|
SI1 |
|
|
|
0.805 |
|
SI2 |
|
|
|
0.537 |
|
SI3 |
|
|
|
0.857 |
|
SI4 |
|
|
|
0.624 |
The outer loadings in the PLS-SEM model represent the strength of the relationship between each observed variable and its respective latent construct, indicating how well each item reflects its underlying factor. For the Buying Decision construct, BD3 (0.823) and BD5 (0.788) show strong loadings, meaning these items most effectively capture consumer purchase behavior. Within Emotions & Mood, all items—EAM2 (0.847), EAM4 (0.813), EAM1 (0.787), and EAM3 (0.781)—demonstrate high reliability, indicating consistent measurement of emotional influence. The Motivation & Desire construct is primarily represented by MAD2 (0.838) and MAD4 (0.776), confirming their strong reflection of motivational factors. In the Self-Image construct, SI3 (0.857) and SI1 (0.805) show the highest loadings, suggesting they are the most reliable indicators of self-concept. All loadings above the threshold of 0.7 indicate good convergent validity, while slightly lower values (e.g., SI2 = 0.537) may still be acceptable in exploratory research. Overall, the outer loadings validate that the constructs are well-measured and contribute meaningfully to the structural model.
Outer Weightage
|
Buying Decision |
Emotions & Mood |
Motivation & Desire |
Self-Image |
|
|
BD1 |
0.062 |
|||
|
BD2 |
0.286 |
|||
|
BD3 |
0.313 |
|||
|
BD4 |
0.346 |
|||
|
BD5 |
0.434 |
|||
|
EAM1 |
0.278 |
|||
|
EAM2 |
0.368 |
|||
|
EAM3 |
0.314 |
|||
|
EAM4 |
0.276 |
|||
|
MAD1 |
0.310 |
|||
|
MAD2 |
0.485 |
|||
|
MAD3 |
0.226 |
|||
|
MAD4 |
0.392 |
|||
|
SI1 |
0.365 |
|||
|
SI2 |
0.211 |
|||
|
SI3 |
0.505 |
|||
|
SI4 |
0.257 |
The outer weightage table represents the contribution of each observed variable (indicator) to its corresponding latent construct in the PLS-SEM model for luxury cosmetic buying behavior. Among the Buying Decision indicators, BD5 (0.434) and BD4 (0.346) have the highest outer weights, showing they are the most influential in shaping the buying decision construct. For Emotions & Mood, EAM2 (0.368) and EAM3 (0.314) are the strongest contributors, indicating emotional reactions and moods are key influencers. Within Motivation & Desire, MAD2 (0.485) and MAD4 (0.392) weigh heavily, showing that inner motivation and desire are strong determinants. In the Self-Image construct, SI3 (0.505) has the highest weight, highlighting it as the most impactful item related to self-perception. Overall, this outer weight analysis confirms the relative importance of specific observed variables in accurately defining each psychographic factor and its role in influencing buying behavior.