Marketing plan Essay Example | Topics and Well Written Essays - 2750 words

Marketing plan - Essay Example Akin to olive oil in terms of function, tea seed oil is very effective for hair care. Not only does it strengthen hair and protect it from damage, it also provides moisture to the hair. Shiseido now intends to sell Tsubaki in Australia as it sees tremendous potential for that product in that market. Competitive Landscape in Australia Procter & Gamble Australia Pty Ltd, Unilever Australia Ltd, L'Oreal Australia Pty Ltd, Hans Schwarzkopf & Henkel GmbH & Co KG, Colgate-Palmolive Pty Ltd and Alberto-Culver Pty Ltd. In addition to these there are many other, domestic as well as international players, vying for a chunk of the shampoo market in the country. Demographic Environment The total population of Australia stood at 22 million in 2010. The gender-wise break-up of the Australian population is depicted in table below: Population (Gender Wise)    2010 2020    in '000 % in '000 % Male 10998 49.76 12591 49.86 Female 11102 50.24 12663 50.14 Total 22100 100 25254 100 Source: Euromonitor International The table shows that the male female population is almost equal and is likely to remain so by 2020. The ethnic composition of the country includes 92 percent Whites, 7 percent Asians and 1 percent Aboriginal and others (Euromonitor 2011). Thus females of Asian origin residing in Australia are approx .7 million. The Tsubaki shampoo would be targeted at this section of the society. It is imperative that the age-wise break up of the female population is considered while developing/modifying the product for the Australian market.    Female Population Age-Wise ('000) Age 2009 2010 2015 (E) 2020 (E) % Growth 0-14 2033 2052 2173 2326 13.3 15-64 7327 7415 7763 8095 9.2 65+ 1591 1635 1925 2242 37.1 Total 10951 11102 11861 12663 15.6 Source: Euromonitor International The above table clearly demonstrates that a drastic shift in Australia‘s demographic profile is imminent as a considerable chunk of the population is set to grow old in the coming future. This growth in the number of older consumers is likely to propel the demand for products that make people feel and look younger (Data Monitor 2011). The life expectancy in the country is 81.81 years for the total population. While it is 79.40 years for men, the life expectancy for the average Australian woman is 84.35 years. Economic Environment The Australian economy has registered a steady growth in the GDP in the last few years. The economy is estimated to grow by 3.7 percent this year. The inflation rate has also been below the 3 percent mark since 2010. The unemployment rate which has been steady at a shade above 5 percent is the brightest spot. Compare this to the unemployment rates in other developed countries where the joblessness has reached double digits. Key Economic Indicators    2009 2010 2011 2012 (E) GDP Growth (%) 1.3 3 3.5 3.7 Inflation 1.8 2.9 2.8 2.9 Unemployment Rate 5.6 5.3 5.2 5.1 Source: Data Monitor 2011 Australia is primarily a middle-class society. Close to 5 million, or 6 1 percent of the households in the country had an annual disposable income of more than US $45,000 in 2009. During the same time period, 36 percent of the Australian households had an annual disposable income of more than US $75,000. At the same time, more than 95 percent of the country is above the poverty line (Data Monitor 2011). The table below depicts that the average annual gross income has steadily risen across income brackets. The growth is considerably higher than

Mobile Computing and Social Networks Term Paper

Mobile Computing and Social Networks - Term Paper Example Mobile computing and social networks have increasingly become popular around the world. There are thousands of iPhone Apps, iPad Apps, and Android Apps that have been developed to perform a myriad of tasks and processes. These applications use mobile and web-based technologies majorly in turning communication into interactive communications and dialogue(s) among organizations, individuals, and communities around the world (Hinchcliffe et al, 2012). The fact that mobile computing and social networks have witnessed exponential growth within a very short period of time compared to other communication and business tools in the history of human beings is nearly incontestable (Rainie and Wellman, 2012). This fact is evidenced by the statistics indicating that while it took about 13 years for television to attract close to 50 million viewers and approximately 38 years for radio to attract nearly 50 million listeners, internet technology only took about 4 years only for to attract over 50 mi llion participants. Social networking sites such as Facebook and Twitter much shorter time; about one and a half years to attract the same number of participants (Hinchcliffe et al, 2012). Mobile computing has witnessed a more robust growth in recent years. While initially most of the mobile applications were games that were intended for playing on mobile devices, they have gained popularity as businesses ponder whether some of their business process applications running on desktop platform and the Web can be redesigned to run on mobile devices that run on desktop platforms and the Web could be redesigned to run on mobile devices (Rainie and Wellman, 2012). In order to have a better understanding of mobile computing and social networks, this paper will discuss mobile-based applications and their various aspects relating to access and processing of data. The first aspect to address is in regard to the effectiveness and efficiency mobile-based applications provide to capture geo-locat ion data and customer data, and quickly upload to a processing server without users having to use a desktop system. Presently, there are numerous smartphones and iPhones that use applications and specific processes relating to mobile devices (Kumar and Rahman, 2012). Considering the advancements that have been made in mobile computing, as well as in regard to social networks, many companies around the world are making preparation for the use of mobile-based applications using tools that can capture geo-location data and customer data. Apple iPhone and Android smartphone platforms are the most used currently for this purpose and this has seen the huge expansion of their market. Available evidence indicates that these applications have been successful in capturing geo-location data; they have been successful in tracking driving behaviors, providing unbiased feedback during driving, and measuring acceleration among others (Dye, 2011).