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Re: measuring schema.org impact

From: David Riccitelli <david@wordlift.io>
Date: Wed, 5 Sep 2018 12:09:32 +0200
Message-ID: <CAG94HGgTNDOgAa8m_FCSPpW_cmiEASYZEGBfTySZH=Ffj7LopA@mail.gmail.com>
To: Alexander Garcia Castro <alexgarciac@gmail.com>
Cc: "schema.org Mailing List" <public-schemaorg@w3.org>
Hello Alexander,

It definitely pays off to use schema.org and to structure the content. We
work with different clients and web sites integrating schema.org to markup
articles and blog postings as well as to define knowledge graphs (e.g.
persons, organizations, etc.).

We generally see spikes in all the relevant indicators, such as sessions,
organic users, session duration, page views and lower bounce rates.

Here are some real cases:
 * Freeyork: https://wordlift.io/blog/en/entity/freeyork/
 * WindowsReport: https://wordlift.io/blog/en/entity/seo-windowsreport-com/
 * Salzburgerland Tourismus:

Feel free to ask if you need further information.


On 4 September 2018 at 23:22, Alexander Garcia Castro <alexgarciac@gmail.com
> wrote:

> Hi, this may be a question more coming from my ignorance.
> the assumption behind schema.org is that if I publish my data using
> schema.org then it will be more discoverable by google? or is it that
> google will be able to identify some specific facets that fully describe
> the entity being published (a la infobox), or both?
> Say that I publish a large dataset with schema.org. then, how do I
> measure that
> 1) the effort pays off (more visits? hits to a web page?)
> 2) that it has been crawled by google
> 3) the impact that using schema.org improved something
> --
> Alexander Garcia
> https://www.researchgate.net/profile/Alexander_Garcia
> http://www.usefilm.com/photographer/75943.html
> http://www.linkedin.com/in/alexgarciac
Received on Wednesday, 5 September 2018 10:09:55 UTC

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