Why You Need To Monitor Data Hub Usage

Data Hub Partners

Social Partner Metrics

There is mounting evidence that user metrics and social signals are playing an ever increasing role in how Google determines website quality. While I do not believe Google Analytic data is used directly to rank web content, I do think it is a great insight into what Google is “learning” about your site via user experience.

With evil black and white animals lurking around every corner it is pertinent to pay attention to any data source and metric that Google may find interesting. Especially a data source that vets its users and is transparent with Big G. The Data Hub contains many perfect examples of this type of source.

Optimally a Data Hub visitor will visit your website, add an additional signal to your social profile through a share or like, see something interesting and visit the additional page to share again. An interaction like this originating from a transparent data site proves the usefulness/helpfulness of your site content via a neutral 3rd party (read social media or, even better, Google authorship link).

The opposite side of that coin goes a little something like this:

A visitor lands on your page during peak traffic hours and experiences site lag for six seconds due to a remote server call for an advertisement then hits their back button and returns directly back to the Data Hub Partner they entered from. Unfortunately the share source that drove this user to your web content is very active and drives many other users to the same content at nearly the same time as.

These individual visits/interactions have just shown Google a lack of content quality in one case and a great website in the other. Does Google now determine that there is some form of social signal manipulation going on in the negative example or do they just add more Panda bait to your Panda cage? These type of interactions can be controlled to some extent if you are aware when they happen which leads us back to why you need to monitor Data Hub usage of your web content.

Thoughts on User Metrics or Social Signaling? Please share via comments below.

About Pearse

Michael is a social search ecosystem consultant. His passion is Online Message Broadcasting through traffic net building.
This entry was posted in Social. Bookmark the permalink.
  • Michael Pearse

    What are your thoughts on the importance of the Social Data hub when it comes to Search Engine Optimization? Do these thoughts begin to lead you down the road to Social Search Ecosystem Optimization? If the don’t please let me know why.

  • Russell Wright

    I think that any Google Social Data Hub Partner will have a “wildcard” status when it comes to SEO (search engine optimization) because of domain authority provided by default by Google. This will prove useful for Domain Authority Stacking http://www.domainauthoritystacking.com to name only a few things. – Russell

  • Scott

    The list of partners integrated with the social data hub includes:

    AllVoices Badoo Blogger
    Delicious Digg Diigo
    Disqus Echo Gigya
    Google+ Google Groups Hatena
    Livefyre Meetup Read It Later
    Reddit Screen Rant SodaHead
    TypePad VKontakte yaplog!

    That is one heck on a prestigious list Mike, so where then does it leave me and my client project sites as far as using Data Hub? In other words could I even get accepted for use or would I need a social media site?

    • Michael Pearse

      Look at this from another angle. Spend some time with it and you may find some insight into the significance of these platforms. One key issue to pay attention to is the integration of all five elements of the Social Search Ecosystem..

    • Scott

      Or are you advising me to monitor how my data Hub usage is going via other sites which use it? sorry was a bit confused.

  • ABCSEO.ORG

    Mike,

    I agree totally that this is the future in social and the semantic web. I will take a look at the providers and the information and see if i can patch it together for my own use.

  • Tony Camero

    I think you are all full of coffee.