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Launch! Advertising and Promotion in Real Time, 2009a

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preferable but harder <strong>and</strong> more expensive to collect; <strong>in</strong> some cases the <strong>in</strong>formation we need is out there if<br />

we know where to look. Type refers to the form of the data; is it numerical or verbal or observational?<br />

Numerical (quantitative) data can be generalized; we can comb<strong>in</strong>e one respondent’s scores with those of<br />

many others to obta<strong>in</strong> a broad (but often shallow) picture. In contrast, verbal or observation (qualitative)<br />

data is difficult to generalize because it’s coded <strong>in</strong> words or based upon a researcher’s subjective<br />

impressions. This type of data is useful for generat<strong>in</strong>g ideas <strong>and</strong> drill<strong>in</strong>g down <strong>in</strong>to the underly<strong>in</strong>g reasons<br />

for consumers’ reactions to ads or products; it gives us a narrow but deep picture. The ideal is to comb<strong>in</strong>e<br />

both types of data to yield a broad <strong>and</strong> deep snapshot of our customers.<br />

EXERCISE<br />

Compare primary data to secondary data. Compare quantitative data to qualitative data.<br />

Saylor URL: http://www.saylor.org/books<br />

Saylor.org<br />

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