Benefit segmentation of pleasure boaters in Mediterranean marinas: A proposal

2020 ◽  
Vol 23 (1) ◽  
pp. 134-145
Author(s):  
Clara Benevolo ◽  
Riccardo Spinelli
Keyword(s):  
Benefit Segmentation

Benefit Segmentation

1984 ◽  
Vol 2 (1) ◽  
pp. 115-127
Author(s):  
George Miaoulis ◽  
Robert Corson
Keyword(s):  
Benefit Segmentation

scholarly journals The U.S. Toothpaste Market: A Competitive Profile

2020 ◽  
Vol 6 (1) ◽  
pp. p145
Author(s):  
Y. Datta
Keyword(s):  
Market Share ◽  
Strong Support ◽  
Hierarchical Cluster ◽  
Relative Price ◽  
Unit Price ◽  
Fundamental Result ◽  
Retail Sales ◽  
Benefit Segmentation ◽  
Market Leader ◽  
The U.S

This paper follows the path of seven studies (see below). However, it is different in one important respect: it also offers a benefit segmentation profile of the U.S. Toothpaste Market.Porter associates high market share with cost leadership strategy which is based on the idea of competing on a price that is lower than that of the competition. However, customer-perceived quality—not low cost—should be the foundation of competitive strategy, because it is far more vital to long-term competitive position and profitability than any other factor. So, a superior alternative is to offer better quality vs. the competition.In most consumer markets a business seeking market share leadership should try to serve the middle class by competing in the mid-price segment; and offering quality better than that of the competition: at a price somewhat higher, to signify an image of quality, and to ensure that the strategy is both profitable and sustainable in the long run. Quality, however, is a complex concept that consumers generally find difficult to understand. So, they often use relative price, and a brand’s reputation as a symbol of quality.In 2008 retail sales in the U.S. were $1.27 Billion for the Toothpaste Market. The market leader Crest had a market share of 34.7%, closely followed by Colgate with a share of 33.5%. We focused on the most popular pack-size—5.8-6.5oz—which had a 45.3% share. Employing Hierarchical Cluster Analysis, we tested two hypotheses: (1) That a market leader is likely to compete in the mid-price segment, and (2) That the unit price of the market leader is likely to be somewhat higher than that of the nearest competition. Employing U.S. retail sales data for 2008 and 2007, we found that, for both 2008 and 2007, the market leader in the U.S. Toothpaste market—Crest—was a member of the mid-price segment. Furthermore, the unit price of Crest was somewhat higher than that of Colgate, the runner-up, which was also a member of the mid-price segment.Thus, the results fully supported both Hypothesis I and II—for 2008 and 2007.We also found strong support for the idea, that relative price is a strategic variable, as we have hypothesized.We discovered five benefit segments. The most fundamental result of this analysis is that it revealed an avalanche of various brands of toothpaste that not only whitened teeth, but were also helpful in preventing tooth decay, as before.Finally, we discovered four strategic groups in the industry.

scholarly journals Analisis Benefit Segmentation Nasabah Tabungan Sikoci pada Bank Nagari BPD Sumatera Barat Cabang Raya Padang

2016 ◽  
Vol 7 (1) ◽  
pp. 1534-1547
Author(s):  
Eko Supriyanto
Keyword(s):  
Sampling Method ◽  
Benefit Segmentation

Penelitian ini bertujuan untuk (1) mengetahui faktor-faktor manfaat yang diinginkan nasabah tabungan Sikoci pada Bank Nagari BPD Sumatera Barat Cabang Pasar Raya Padang (2) mengetahui bagaimana segmentasi nasabah tabungan Sikoci berdasarkan manfaat tersebut. Penelitian ini dilaksanakan pada Bank Nagari BPD Sumatera Barat Cabang Pasar Raya Padang dengan menggunakan teknik penarikan sample secara Proportional Accidental Sampling Method. Populasi dalam penelitian ini adalah seluruh nasabah tabungan Sikoci Bank Nagari BPD Sumatera Barat Cabang Pasar Raya Padang yang tersebar di 9 kantor kas di bawah binaan Kantor Cabang Pasar Raya Padang. Jumlah sampel dalam peneltian ini adalah 100 orang nasabah tabungan Sikoci. Teknik analisis data yang digunakan adalah analisis faktor dan dilanjutkan dengan analisis cluster.  Hasil penelitian ini menunjukkan bahwa diperoleh 8 faktor yaitu faktor pelayanan, faktor penampilan fisik, faktor kualitas produk, faktor insentif promosi, faktor harga, faktor teknologi, faktor lokasi dan faktor kecepatan. Sedangkan dari hasil analisis Cluster ditemukan bahwa terdapat tiga segmen nasabah berdasarkan manfaat yang ingin diperoleh dari tabungan Sikoci. Segmen yang dihasilkan tersebut adalah segmen kualitas produk, insentif promosi dan harga beranggotakan 39% dari responden, pada segmen ini nasabah menginginkan manfaat yang berhubungan dengan pelayanan, teknologi yang digunakan, lokasi bank dan ATM serta kecepatan karyawan. Segmen penampilan fisik beranggotakan 27% dari responden, pada segmen ini nasabah menginginkan manfaat yang erat kaitannya dengan penampilan fisik bank.

Segmentation of rural tourists: combining push and pull motivations

2012 ◽  
Vol 18 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Juho A. Pesonen
Keyword(s):  
Cluster Analysis ◽  
Product Development ◽  
Travel Behaviour ◽  
Sociodemographic Factors ◽  
Rural Tourism ◽  
Benefit Segmentation ◽  
Push And Pull ◽  
Important Form ◽  
Geographical Locations ◽  
Home Region

Rural tourism is an important form of tourism in many countries, including Finland. To understand rural tourists’ behaviour and help tourism companies market their products more efficiently many scholars have segmented rural tourists in several different geographical locations. This study aims to combine segmentation approaches used in earlier studies, namely motivation and benefit segmentation, and segment online rural tourists in Finland. Data is collected in a rural tourism affiliate website and analysed using cluster analysis on tourists’ motivations. Among 727 respondents, four rural tourist segments are found: “Social travellers”, “Wellbeing travellers”, “Home region travellers” and “Family travellers”. The segments differ from each other in motivations, preferred destination attributes, travel behaviour and sociodemographic factors. Understanding these differences will provide rural tourism companies important information to successfully market their products by combining both push and pull motivations in their marketing and product development.

scholarly journals Faktore by die aankoop van 'n motor vir privaatgebruik

1987 ◽  
Vol 18 (3) ◽  
pp. 176-185
Author(s):  
P. J. Du Plessis ◽  
P. L.S. Ackermann
Keyword(s):  
South Africa ◽  
Factor Analysis ◽  
Social Influence ◽  
Motor Vehicle ◽  
Mechanical Performance ◽  
Metropolitan Areas ◽  
Evaluation Criteria ◽  
Principal Factor ◽  
Benefit Segmentation ◽  
Used Car

In this study an attempt is made to establish underlying dimensions from the various evaluation criteria a consumer considers when buying a motor vehicle. The sample consists of 902 consumers of all race groups in mainly metropolitan areas in South Africa who bought a new or used car for private use during the period December 1985 - May 1986. With the aid of principal-factor analysis 12 underlying dimensions out of 65 evaluation criteria were identified, namely: dealer orientation, maintenance, space convenience, driving comfort, mechanical performance, appearance, social influence, manufacturing, choice reinforcement, technical priority, discount and reputation. These factors may serve as a guideline for marketing managers to develop strategies regarding benefit segmentation, promotion and positioning.

Benefit segmentation

2003 ◽  
Vol 45 (3) ◽  
pp. 1-13 ◽  
Author(s):  
Rizal Ahmad
Keyword(s):  
Older People ◽  
Personal Characteristics ◽  
Chronological Age ◽  
Consumer Market ◽  
Independent Variables ◽  
Older Consumers ◽  
Benefit Segmentation ◽  
Market Opportunities ◽  
The Uk ◽  
Do So

The UK currently has about 20 million people who are 50 years old or over. This number is expected to grow to 25 million by 2021. Older people offer new market opportunities, and companies that choose to ignore them will do so at their own peril. Literature indicates that marketers’ existing understanding of older consumers revolves around their personal characteristics, in terms of socioeconomic, demographical and psychographical data. Marketers tend to use personal characteristics as independent variables for segmenting older consumers. For simplicity, marketers also tend to treat older consumers in a similar way to which they treat the rest of the consumer market and differentiate older consumers only in terms of their chronological age. In this article, the author discusses the potential application of benefit segmentation technique for segmenting and targeting older consumers in the UK.

Using Benefit Segmentation to Influence Environmental Legislation: A Bottle Bill Application

1991 ◽  
Vol 10 (2) ◽  
pp. 28-46 ◽  
Author(s):  
Bruce K. Pilling ◽  
Lawrence A. Crosby ◽  
Pam Scholder Ellen
Keyword(s):  
Environmental Legislation ◽  
Benefit Segmentation ◽  
Bottle Bill
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