|In recent months, we've been hearing more requests for some type of influence barometer to tie|
into our reputation monitoring tools and services. The key differentiator for us is how we combine human analysis to deliver precision and depth as it pertains to interpreting context and risk. I like to think of our approach as one that yields an in the moment interpretation of context and influence, on a per incident basis.
That said, we have spent a significant amount of time "teaching" the machine portion of the analysis to perform surface-level interpretation of influence and risk. Going back to this notion of an influence barometer, one recent approach which has received positive feedback pertains to RepuTrack's SEO View, and how metrics like tonality, geography and source type tie-in with the likelihood the incident will appear in search results.
More specifically, we can now look at positive or negative incidents from a specific country (Canada, US, UK, etc.) and/or by social media type (i.e. blog, forum, social network, video) and see how the incidents numerical rank (top 100), and the likelihood of appearing in the first 10 pages of results when someone types in the company name (and any variation) in any of the widely used search engines:
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