Criteria and Indicators for TV Audience Segmentation

cris.sourceIdoai:journals.unwe.bg:article/881
dc.creatorKatranjiev, Hristoen
dc.date2005-12-15
dc.date.accessioned2026-09-24T23:16:22Z
dc.date.available2026-09-24T23:16:22Z
dc.descriptionThis paper presents a systematization of criteria and indicators for TV audience segmentation. This systematization is realized by the means of analysis of secondary data. Within this project numerous practical evidences and academic papers have been analyzed.The author offers for basic criteria for TV audience segmentation – geographic/geo-demographic, demographic, psychographic, and behavioristic. Each of the criteria mentioned above consists of several indicators.The geographic/geo-demographic criterion includes the following indicators: region, climate, Area of dominant influence of TV stations (which are geographic indicators); county size and population density (which are geo-demographic indicators).The most often used demographic indicators include: gender, age, family size, family life cycle, occupation, incomes, education, social class, and religion.The psychographic indicators for TV audience segmentation include: viewers’ life style, values, and individuality. The author has compared the American and European approaches to TV audience segmentation.The behavioristic indicators for TV audience segmentation include: amount of viewing (how many hours per day), benefits sought from the TV media, and viewers’ loyalty.en
dc.formatapplication/pdf
dc.identifierhttps://rp.unwe.bg/index.php/rp/article/view/881
dc.identifier10.37075/RP.2005.2.05
dc.identifier.urihttps://ds.e-dnrs.org/handle/123456789/1922
dc.languagebg
dc.publisherAcademic Publishing UNWE (AP-UNWE)en
dc.relationhttps://rp.unwe.bg/index.php/rp/article/view/881/873
dc.rightsCopyright (c) 2005 Hristo Katranjiev (Author)en
dc.rightshttps://creativecommons.org/licenses/by/4.0en
dc.sourceResearch Papers of UNWE; No. 2 (2005); 143-184en
dc.titleCriteria and Indicators for TV Audience Segmentationen
dc.typePeer-reviewed Articleen

Files