The audience in digital media such as the web is measurable and can be analyzed far beyond the means of traditional media. It is this aspect that should be emphasized when constructing revenue models for content businesses. Instead of the old commodity model in which one audience member is as valuable as the next, the Affinity Engagement Index (AEI) model proposes to specifically show how valuable an audience segment is to an advertiser, in a way that can form the basis for a negotiation (much in the way that CPMs work now).
The model is based on two critical factors:
Affinity
Affinity, for the purposes of this model, is a measurement of how much the audience likes the publisher’s content. While affinity can be measured on the basis of an individual for a specific content item, for AEI purposes, we look at audience segment affinity for “clusters” of content, which are organized together by common metadata (such as author, category, topics, etc.).Engagement
Engagement is the level of an audience member’s interaction with, and attention to, a publisher. A high-engagement audience member is more valuable than a low engagement audience member, because they are paying more attention.The model would create scores for each factor through various methods:
Potential
Potential represents the value of an audience segment. Pricing for advertising should be compared against the Potential number (it is the equivalent of CPMs):Segmentation
While you could describe a complete aggregate audience for a publisher in terms of their AEI score, it’s likely that a publisher will want to segment their audience, both by gross divisions in affinity clusters (this portion of the audience is into web development, this portion is into typography etc.), but also by engagement levels....http://www.fastcolabs.com/3025607/a-new-model-for-digital-publishing-the-affinity-engagement-index?utm_source=API%27s+Need+to+Know+newsletter&utm_campaign=22a808c1ea-Need_to_Know_January_29_20141_29_2014&utm_medium=email&utm_term=0_e3bf78af04-22a808c1ea-31701933
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