scholarly journals Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-commerce Websites

Author(s):  
S S S D Saichand Chebolu ◽  
P. L. Kiranmay

Before making an informed purchase decision, online reviews have become an important source of information for users. Early reviews of products often have a significant impact on subsequent product sales. For companies, it is important to find early reviewers, because their feedback can help the company adjust marketing strategies and improve product design, which ultimately leads to the success of new products. In this article, we take the initiative to study the behavioral characteristics of early commenter’s through their comments published on two large e-commerce platforms in the real world.

Online reviews became a essential information base for customers prior to the creation of the buy call affiliate. Early item reviews tend to have a strong effect on the following item revenues. Throughout this article, we tend to take the action to check early reviewers ' behavioral features through their announcement videos on two real-world gigantic e-commerce platforms, i.e., Amazon. Specifically, we tend to split the item cycle into three successive phases, especially early, majority and laggards. A person who published a review early on is considered as an early review associate We tend to quantitatively characterize early critics who have endorsed their ranking behaviors, the helpfulness results obtained from others, and hence the correlation between their ratings and the performance of the item. We discovered that combine early reviewers tend to give a stronger median rating score; linked with[ 2] early reviewers tend to publish more helpful feedback. Additionally, our item reviews assessment shows the ratings of these early reviewers and their earned helpfulness scores square measure that can affect the performance of the item. By watching the posting technique of evaluation as a competitive multiplayer game, we tend to suggest a totally distinctive embedding model for early reviewer prediction. Intensive tests on 2 completely distinct e-commerce datasets have shown that our suggested strategy exceeds various competitive baselines


Author(s):  
S. Kayalvili ◽  
Muthu Priyadharshini. A

Online reviews are the important source of information for users before selecting a product for making a decision. Reviews of product particularly early reviews have impact on the product sales. Study the behavior characteristics of early reviewers through their posted early reviews. At first divide the product lifetime into three stages- Early, majority and laggards. A person who posts reviews in early stage is considered as early reviewers. The Early reviewers are the first one who responds to the product at the beginning stage. Rating behaviors of early reviewers are predicted based on k-means with Page Rank.


2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Sutiyem Sutiyem ◽  
Thesa Alif Ravelby ◽  
Dessy Trismiyanti

This study aims to determine the effect of product design and price on consumer interest in buying Jepara Teak furniture at the New Furniture Business Shop in Lubuk Alung. This type of research is associative quantitative research, the number of research samples were 100 people. Data was collected in the form of questionnaires and using analyzed SPSS software ver.21.0 for Windows. The conclusions from this study is the product design variable (X1) has a significant positive effect on purchase decision in Jati Jepara furniture at the New Furniture Business Shop in Lubuk Alung, as evidenced by t value > t table (10,400> 1,660) and a significant influence between price variables ( X2) purchase decision with t value> t table (2,015> 1,660). There is a positive and significant influence between product design (X1) price (X2), on purchase decision of Jati Jepara furniture consumers with an F-value 156,644> F- table (3,09) means that it affects together. The coefficient of determination (R²) results obtained a coefficient of 0.764 or 76.4%, while 23.6% is influenced by other variables.Keywords: Product design; prices; purchase decision.


2019 ◽  
Vol 118 (6) ◽  
pp. 145-149
Author(s):  
A. Ekanthalingam ◽  
Dr. A. Gopinath

‘Marketing’ is not just an activity. It is a process, a philosophy and a phenomenon. The evolution of marketing has produced tremendous benefits to business and end consumers. The innovation in this field has been steady and yet at high speed. From ‘word of mouth advertising’ which was the only option earlier we are now at the mercy of what consumers are sharing about their experience on the internet. Social Media has become more powerful than what we think and this article shows how we can leverage this to benefit the top-line and customer delight. We dive deep to understand the influence Social Media can create towards purchase of residential property. As much complex it is to make the purchase decision of a property, it is equally difficult for marketers to send the right message to their target audience. Through this article, we are trying to see how marketers have transformed their traditional marketing strategies to address the needs of the millennial population, who are the most potential customers for property purchase.


2016 ◽  
Vol 1 (2) ◽  
pp. 133-144
Author(s):  
Nadya Nadya

Technological developments have significantly changed the way how a business works, especially the culinary business named Seblak Jeletet Murni, that has located in Jakarta. This business is still relatively new, but consumers continue moldy and this spicy culinary product sales have been continue to increase. This phenomenon is a result of business which has entered the digital era in social media. Marketing of this product is not done intensively by the owner of this business, but consumers who moved to market virally in social media, especially social media video youtube. In this article the author analyzed descriptively about consumer behavior in digital marketing that has affected the sales of the culinary products. The analyzes were performed with case studies and associated in the literature on consumer behavior and digital marketing strategies. This article aims to describe the behavior of consumers in the digital age so that it can be input in determining the marketing strategy culinary efforts forward and be used for thought on the future of consumer research. Keywords: Digital Marketing, Social Media, Consumer Behavior


2021 ◽  
Vol 16 (4) ◽  
pp. 638-669
Author(s):  
Miriam Alzate ◽  
Marta Arce-Urriza ◽  
Javier Cebollada

When studying the impact of online reviews on product sales, previous scholars have usually assumed that every review for a product has the same probability of being viewed by consumers. However, decision-making and information processing theories underline that the accessibility of information plays a role in consumer decision-making. We incorporate the notion of review visibility to study the relationship between online reviews and product sales, which is proxied by sales rank information, studying three different cases: (1) when every online review is assumed to have the same probability of being viewed; (2) when we assume that consumers sort online reviews by the most helpful mechanism; and (3) when we assume that consumers sort online reviews by the most recent mechanism. Review non-textual and textual variables are analyzed. The empirical analysis is conducted using a panel of 119 cosmetic products over a period of nine weeks. Using the system generalized method of moments (system GMM) method for dynamic models of panel data, our findings reveal that review variables influence product sales, but the magnitude, and even the direction of the effect, vary amongst visibility cases. Overall, the characteristics of the most helpful reviews have a higher impact on sales.


2021 ◽  
Vol 13 (1) ◽  
pp. 1-16
Author(s):  
Michela Fazzolari ◽  
Francesco Buccafurri ◽  
Gianluca Lax ◽  
Marinella Petrocchi

Over the past few years, online reviews have become very important, since they can influence the purchase decision of consumers and the reputation of businesses. Therefore, the practice of writing fake reviews can have severe consequences on customers and service providers. Various approaches have been proposed for detecting opinion spam in online reviews, especially based on supervised classifiers. In this contribution, we start from a set of effective features used for classifying opinion spam and we re-engineered them by considering the Cumulative Relative Frequency Distribution of each feature. By an experimental evaluation carried out on real data from Yelp.com, we show that the use of the distributional features is able to improve the performances of classifiers.


2021 ◽  
Vol 5 (1) ◽  
pp. 35-40
Author(s):  
Novita Ika Yuniarti ◽  
Eny Kustiyah

The two-wheeler industry in Indonesia has a very positive trend. Advanced technology science as a means of smoothing the flow of communication and transportation, which causes very competitive competition. This study aims to test product design, product quality, the brand image on the purchase decision of a Mio motorcycle at a Yamaha Sumber Baru Dealer Rejeki Kartasura. The research sample was 70 consumers and used the multiple linear regression method. The results of product design, product quality, a brand image simultaneously and partially have a significant effect on the purchase decision of the Mio Motor at Yamaha Sumber Baru Dealer Rejeki Kartasura. Three independent variables can explain the purchase decision.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Archana Shrivastava ◽  
Ashish Shrivastava

Purpose This study aims to investigate the attributes of the online programme that are considered and compute their relative importance in the purchase decision. This study aims to identify the most lucrative bundling of these attributes and their levels that can be used by online education companies to craft their product design strategy to attract customers with the most attractive offering. Design/methodology/approach This research paper endeavours to identify the attributes of online education, which customers consider for making a purchase decision. Exploratory factor analysis followed by confirmatory factor analysis was used to identify the key attributes of online education programmes. This paper uses the conjoint analysis technique to identify the most preferred bundling of attributes, which online education companies can package to attract customers. Findings Based on various attributes and their respective levels, it is evident the most lucrative design for attracting customers to buy online education programmes is to provide certification from a reputed international university, which requires an investment to the tune of 3,000–5,000. The duration of four weeks with asynchronous pedagogy and access to course material vial uniform resource locator (URL) is a preferred feature. Access via a mobile application is more preferred over Web access. A phone application is known to be optimised, and most people are using mobile phones to access the internet. Online certification or degrees that are considered as valid employment qualifications were most preferred over other reasons. Originality/value There is a dearth of studies on massive open online courses (MOOCs) from a product design perspective. There is a gap in the context of the features to be included in the MOOCs package so that the customer can find more value in it, and the companies can benefit by expanding their customer base. The research question which this study endeavours to explore is what attributes consumers of MOOCs consider when making a purchase decision. This study will also find the relative importance of these attributes.


2020 ◽  
Author(s):  
Gesang Sudrajad ◽  
J.E Sutanto

The purpose of this study was to examine the effect of simultaneous and partial marketing mix on the purchase decision of prospective consumers of Grand Cempaka Housing.This research uses quantitative methods, and is a survey research from the types of explanatory research whose focus is placed on relational research: studying the relationship of variables. The object of research is the residents of Pasuruan City and the sample in this study is the Prospective Consumer of Grand Cempaka Housing. Data analysis uses multiple linear regression analysis methods.The results of the analysis show that Products, Prices, Places and Promotions simultaneously have a significant effect on the Decision of Purchasing Prospective Consumers of Grand Cempaka Housing. This shows that the marketing mix is one of the marketing strategies that should be considered so that the implementation of the marketing strategy can run successfully because the elements in the marketing mix influence each other. Variables in the marketing mix which include Products, Prices, Places and Promotions partially have a significant effect on the Decision of Purchasing Prospective Consumers of Grand Cempaka Housing. Keywords: marketing mix; purchase decision; property; housing


Sign in / Sign up

Export Citation Format

Share Document