À PROPOS DE CET ÉPISODE
<p>Quantitative data is the main discussion of this episode. “Quantitative data is the hard numbers on pre-defined variables that we can use to apply statistical techniques to understand significant variables within groupings.” </p><p>So how do we collect this data?</p><ul><li>Secondary Sources: we discuss where to find it and the cost benefits of it’s use.</li><li>Primary Research: we discuss intercept survey and online web-survey data collection techniques and best practices.</li></ul><p><br></p><p><strong>Links of Interest</strong></p><ul><li><a href="http://portma.com/improve-program-impact" target="_blank">http://portma.com/improve-program-impact</a></li><li><a href="http://portma.com/secondary-research-and-experiential-marketing-analytics" target="_blank">http://portma.com/secondary-research-and-experiential-marketing-analytics</a></li></ul><p><br></p>
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Rechercher les épisodes précédents de Demystifying Data.
AUTRES ÉPISODES DANS CE PODCAST
<p>Chris Clegg continues his podcast series about affective benchmarks by looking at how a well-organized archive of historical experiential marketing performance should be used to develop actionable key performance indicators (KPIs). </p><p>There are three points at …
<p>This episode was recorded live from the Consumer Electronics Show (CES) in Las Vegas and is Part 1 of a 2-part series of Chris’s discussion with David Paull. </p><p>In this episode of Demystifying Data Chris talks with David about the interesting take-awa…
<p>This episode was recorded live from the Consumer Electronics Show (CES) in Las Vegas. Prior to each CES (for the last 10 years) the conference producers put on a research conference. </p><p>This episode of Demystifying Data is a review of the key…
<p>In this podcast, Chris breaks down the logistics of data collection. Clear, robust, meaningful data is achievable by remembering a few key things. </p><ul><li>One initial question must be asked: “What kind of data do you want to collect”? Discovery or validat…
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