Millennials Attitude on Effectiveness of Online Advertisement
P.Bruntha1, A.Yasmeen2, B.Indirapriyadharshini3, N.Giri4
1Dr. P.Bruntha, PG & Research, Associate Professor & Head, Department of Commerce, NGM College, Pollachi (Tamil Nadu), India.
2Ms. A.Yasmeen, Full Time Research Scholar, PG & Research, Department of Commerce, NGM College, Pollachi (Tamil Nadu), India.
3B. Indirapriyadharshini, Assistant Professor, Department of Commerce E-Commerce, NGM College, Pollachi (Tamil Nadu), India.
4N. Giri, Assistant Professor, Department of Commerce SF, NGM College, Pollachi (Tamil Nadu), India.
Manuscript received on 10 January 2019 | Revised Manuscript received on 20 January 2019 | Manuscript Published on 30 January 2019 | PP: 120-123 | Volume-8 Issue-2S2, January 2019 | Retrieval Number: B10260182S219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Online advertisement is about delivering advertisements to online users via websites, email, ad supported software and internet enabled smart phone. Online advertising includes many forms of commercial content from electronic advertisements that are similar to traditional advertisement to formats that are different from traditional advertisements. Online advertising consists of a variety of methods including web banner advertising, blog advertising, promotional advertising, social network advertising and hence the objective of the study is based on the consumer attitude and preference towards online advertisement. Questionnaire Method is used to collect the data for this research.267 respondents were taken for the study using convenient sampling technique. For analyzing the data the Simple Percentage and Garret ranking method is applied. The major findings of the study and suitable suggestions are presented in this article.
Keywords: Online, Advertisement & Technology Change.
Scope of the Article: Online Learning Systems