Add machine understanding to human understanding of the Internet view of your brand

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Add machine understanding to human understanding

SignalsRank adds machine understanding to human understanding of how the Internet sees your brand – and your competitors. There’s an abundance of “soft” information on consumers’ views of brands, websites and profiles and how they interact with them online – there’s a new study every few days, it seems — but up to now there’s been very little “hard” analytical data on how the machines that search, store, retrieve and display Internet information collectively do so – the type of data you want to base changes to your site or profiles or online outreach on.

There are some excellent sources for this raw data but the reality is that they’re scattered, in incompatible formats, with different numerical values, often with license restrictions or subscription requirements and usually locked in their own interfaces or “silos”; they provide data of inconsistent detail and varying quality, neither weighted nor related. SignalsRank changes this by transforming raw data from the best of those multiple tools and sources (we’ve tested thousands over the years) into actionable analytics that compare the strengths and weaknesses of brand sites and profiles as seen by the Internet.

SignalsRank’s technical scores are based on a combination of industry standards, protocols and specifications (e.g., IETF, IANA, ICANN, W3C, ITU, OMA) and on search engine and social media best practices (Google, Bing, Yahoo, Facebook, Twitter, LinkedIn, YouTube and others). Our non-technical scores are based on sector expert, analyst consensus views and precise counts (for e.g., engagement and participation measures) and on our own extensive experience with the Web and social Web.

 


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