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Showing posts with label Consumer Behaviour. Show all posts
Showing posts with label Consumer Behaviour. Show all posts

Article Summary: The Long-Term Impact of Loyalty Programs on Consumer Purchase Behavior and Loyalty


Article Summary on, "The Long-Term Impact of Loyalty Programs on Consumer Purchase Behavior and Loyalty" written by Yuping Liu. The objective of this summary is to explain the research conducted on impact of loyalty program on various type of customer and how the customer perceives the customer loyalty program.  The study was more concentrated on these consumer loyalty programs which changes consumers’ patronage levels to the firm and the outcomes are very important to study because they are directly related to consumer profitability and the financial success of a loyalty program.

The study further answers the following questions.
How do consumers change their usage levels after joining a loyalty program?
Does the program make consumers more loyal over time?
How do consumers with different initial spending levels respond differently to the program?

There is a change in influencing Individual consumer’s behavior that happens after they join a loyalty program.  So consumers with different initial usage levels change their behavior to maximize the benefits they receive from a loyalty program. But there is a strategic importance because to run such programs it’s a costly investment and requires a firm’s long-term commitment. More on it is difficult to initiate and maintain a loyalty program. It requires extensive efforts to manage point records and reward issuance.

Such Loyalty programs provide value to consumers can be classified into two stages. In the first stage, points are given to consumers when the purchase takes place. Although these points doesn’t have any value until they are redeemed, but it create a psychological satisfaction to consumers. This psychological benefit which the consumer gains increases the purchase amount and number of purchases and, subsequently, the overall value perception of doing business with the firm. Because consumers can later redeem points for free rewards, point accumulation creates an anticipation of positive future events, which increases consumers’ retained and create and strong relationship. In the second stage, where redemption takes place, consumers receive both psychological and economic benefits from a loyalty program.

Consumers usually have a tendency to compare across competitors, consumers, and the time before going for a loyalty program.  A main advantage of loyalty programs is their ability to increase switching cost. In the long run, the increase in switching costs has important implications for customer loyalty.  When consumers join a loyalty program to redeem more quickly they increase their purchases on one firm, and more on this program will further helps in these consumers will diversified their purchases by purchasing other products of the firm, this cross-sell will increase the CLTV of the consumer.

Through these measures, the opportunity for these consumers to benefit from the loyalty program increased, further motivating them to spend more and patronize the store more exclusively.

The main advantage company can earn from this program is retaining the customer for longer period, thus this vested interest he or she will have could be used to increase the CLTV and this creates a long-term customer lock-in. and when the switching costs is higher for the consumer the loyalty program members are less likely to have extended experience with competitors, further reducing their ability to weigh competitor comparison in their decisions.
It can be concluded that, heavy buyers already can enjoy frequent rewards and thus do not have a strong incentive to change their behavior, but whereas Moderate and Light buyers are the best and most opportunity target, where the program gives an incentive to change their purchase behavior and shift their purchases to one firm. The loyalty program had positive impact on both light and moderate buyers purchase frequencies and transaction sizes, and it made these consumers more loyal to the store. And further it can be said that the consumer who started with low usage levels changed more than other targets groups, which contradicts the myth that low level buyers are less opportunity target and that they will not perceive much value in the program.

Article Summary: The Effect of Perception on Indian Urban Female Consumer Buying Behavior


Summary of the Article, "The effect of perception on Indian urban female consumer buying behavior" written by Dr.Avinash Kapoor and Dr.Chinmaya Kulshrestha. The objective of this study is to know the fashion involvement of selected affluent female consumers and to find the relationship between the fashion involvement and the media usage, personality traits (self-confidence and public self-consciousness), price perceptions (price/quality and prestige sensitivity), and selected demographic characteristics of affluent females consumers and to know whether these characteristics can be used as predictors of fashion involvement by the marketers.

The study among a random sample of 1200 female respondents was conducted in two places (Jaipur and Gurgaon as the places were selected because they are regional fashion center in India, as per The Retail Weeks,2007) taking two hypotheses:

i)                    There is relationship between fashion involvement and media usage personality traits, price perceptions, and selected demographic characteristics of affluent females consumers and,
ii)                  With these perceptions the future fashion involvement can be predicted.

Both Exploratory and Descriptive research was conducted, where exploratory research used mail survey and personal contacting through emails and telephone has been carried out.  For data analysis for the hypothesis i), Pearson’s and Spearman’s correlation tests and for Hypothesis ii) Two-step hierarchical regression is used to find the correlation and significant between the variables.

The study provided the following information; the overall fashion involvement is higher than what was expected. Media usage, Price/quantity relationship and Personality traits only self-confidence is higher than expected, where as public self-consciousness and prestige sensitivity is lower that what was expected.

The Correlation analysis has showed that there is most significant correlation between media usage and fashion involvement having a highest correlation(r=.296), where Prestige sensitivity(r=.219) and public self-consciousness(r=.199) taking the second and third high correlated variables respectively.  Whereas demographic characteristics like age, income, education, work status, price quality compared with fashion involvement has negative correlation.

The regression analyses has indicated that, Media usage and Prestige sensitivity has a coefficient of (.212) and (.153) respectively indicating as best predictor of fashion involvement.  At the same time, Price/quality showed a negative coefficient which suggests that the respondents perceptions of higher the price of the product are not necessarily an indicator of good quality.
At the same time personality traits were not significant predictors of fashion investment. And the Variance Inflation Factor (VIF) further indicated that there is no collinearity between fashion involvement and the predictor variables.

When the fashion involvement of affluent female consumers and their apparel purchase behavior, retailers and marketers will be able to accurately target the market segment.  Marketers can benefit from this information by developing pricing and promotional tactics to appeal to this market.  This would be further even helps the retailers by knowing what to consider when pricing products and promoting to affluent consumers.