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  <title>ActiSKU - Tag - Comparison of Study Techniques</title>
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  <pubDate>Wed, 08 Sep 2010 12:54:05 +0100</pubDate>
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    <title>The market Research</title>
    <link>http://en.actisku.com/post/2009/03/02/The-market-Research</link>
    <guid isPermaLink="false">urn:md5:10ba1d69f1d78f108cea073e0a7d283e</guid>
    <pubDate>Wed, 25 Feb 2009 16:00:00 +0000</pubDate>
    <dc:creator>Pascal Bianchi</dc:creator>
        <category>Blog</category>
        <category>Benefits of online studies</category><category>Comparison of Study Techniques</category><category>Online Panels</category><category>Online Research</category>    
    <description>&lt;h2&gt;The world market research represents a sales turnover of 28.2 billion dollars in 2007 according to the annual Esomar  report.&lt;/h2&gt;


&lt;p&gt;The European market has captured 43% of the world market with a sales turnover of 10.6 billion dollars. The North American market is second with 36%, then the Asia-Pacific rim (14%), Latin America (5%) and the MEA region (2%). All this in a world-wide market that increased by 6.8% in 2006 (an increase of 14.6 billion dollars).&lt;/p&gt;


&lt;p&gt;The research market has greatly expanded in the last few years. On one hand, the major, well-known, world research institutes such as ACNielsen, Taylor Nelson Sofres, IMS and GfK are continuing their ascent by launching into other growing markets and consolidating their international presence. The top ten world-wide research groups reported a sales turnover of more than 11 billion Euros in 2004 (a growth of 19.5% over 2003).&lt;/p&gt;


&lt;p&gt;On the other hand, smaller companies are maintaining their market share by providing research analysis software, strategic marketing advice and online methodologies. Internet research is thus enabling small companies to compete with the larger ones by offering simplified, “low-cost” studies that are custom-designed for specific needs.&lt;/p&gt;


&lt;p&gt;&lt;strong&gt;According to  Esomar, online quantitative studies represented 25% of all the research studies in 2007. According to Synthec Etudes de Marché et D’opinion, online studies (qualitative and quantitative) represented 22% of the research market in France in 2007.&lt;/strong&gt;&lt;/p&gt;    &lt;p&gt;&lt;ins&gt;Comparison of Study Techniques  (source: Synthec Etudes, AFM):&lt;/ins&gt;&lt;/p&gt;


&lt;p&gt;&lt;strong&gt;Benefits of online studies versus in-field studies&lt;/strong&gt;&lt;/p&gt;


&lt;p&gt;Accessibility to numerous and varied targets. Ability to recruit rare profiles with low incidence rates collection speed. Background information and pre-qualification of respondents Sincerity and richness of responses. Sometimes lower cost.&lt;/p&gt;


&lt;p&gt;&lt;strong&gt;Quality problems with online results &lt;/strong&gt;&lt;/p&gt;


&lt;p&gt;There are problems due to the very nature of online sampling but these will become less significant over time as the Internet penetration rate increases. Non-representation o Non-probabilistic sampling Risk of “professionalisation” of respondents Collection method: Can an Internet surfer represent a non-surfer? Projectability of the results (external validity)&lt;/p&gt;


&lt;p&gt;&lt;strong&gt;Quality problems with “in-field” results&lt;/strong&gt;&lt;/p&gt;


&lt;p&gt;In-field testing, which is often considered to be more “qualitative” and more costly, is, in fact, rarely probabilistic:&lt;/p&gt;


&lt;p&gt;o Cost-wise: in order to minimize travelling expenses, surveys are often limited to large cities o Street surveys are often limited to the  busy main streets o Digicodes are  making many areas and random streets more and more difficult to access o Some difficult suburbs are never surveyed (  this is also true for very rich areas ) o  As well as certain entire regions that are  rarely visited by pollsters (the “ the center of France and most rural areas).&lt;/p&gt;


&lt;p&gt;&lt;strong&gt;Comparison of the quality of in-field and online surveys results&lt;/strong&gt;&lt;/p&gt;


&lt;p&gt;Variations in one particular study, conducted in 2007 with 4,427 volunteers randomly selected from an online XL panel (Kristof De Wulf and Sam Berteloot), were analysed  according to  the recruiting t methods used (phone, face to face, emails, web-posted forms, ad campaigns on the internet etc.) while the socio-demographic characteristic of the sampled population was filtered out so that the differences were only due to variations in the sourcing method.&lt;/p&gt;


&lt;p&gt;In this analysis, the following factors were evaluated:&lt;/p&gt;


&lt;p&gt;The participation rate. The time to complete the questionnaire. The consistency of responses. The depth of responses to open questions (number of words). The response style (monotone or varied). The level of knowledge. The consumption profile&lt;/p&gt;


&lt;p&gt;The results show that:&lt;/p&gt;


&lt;p&gt;There is no difference in the consumption behaviour (food, drink, equipment, leisure, political involvement etc.). There is no difference in the quality of responses (consistency, depth), except in responses obtained by email (fewer responses), and by Internet (higher click rate). There is no difference in motivation to participate in the study&lt;/p&gt;


&lt;p&gt;&lt;strong&gt;Motivation of volunteers in online panels &lt;/strong&gt;&lt;/p&gt;


&lt;p&gt;One online, XL panel study of 2,084 panellists used random drawings and donations to charitable institutions  as a means of motivation (Annelies Verhaghe 2007):&lt;/p&gt;


&lt;p&gt;I want to express my opinion: 32%. I want to help the researcher by participating in the study: 27%. I want to have a chance to win a prize: 20%. I enjoy answering questionnaires: 10%. This is a way of supporting charity: 8%. I like learning things: 2%. Other: 1%&lt;/p&gt;


&lt;p&gt;&lt;strong&gt;Impact of the  duplication of panellists in several panels&lt;/strong&gt;&lt;/p&gt;


&lt;p&gt;Two studies in England conducted by Harris Interactive (2006) with 1,983 panellists (of which there were 133 multi-panellists) and 2,071 panellists (of which there were 166 multi-panellists) showed that:&lt;/p&gt;


&lt;p&gt;There is no difference in age or sex. There were slightly more unemployed persons amongst the multi-panellists (6.7% as opposed to 5.2%). They respond more but also abandon the survey more often, thus an identical rate. The quality of their responses is slightly higher (consistency, depth). They are not more motivated by incentives. On the other hand they actually show a greater desire to learn new things&lt;/p&gt;</description>
    
    
    
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