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Expanding Google Analytics Social Reports: Tracking Links To Your Site Content.

Google Analytics Blog

Expanding Google Analytics Social Reports: Tracking Links To Your Site Content

Thursday, May 03, 2012 | 10:09 AM

Labels: Features

Have you ever wondered which other pages on the web link to your own? Wouldn’t it be nice to know which sites are talking about your content, and in which context? Well, a problem no more: now you can see all the backlink URL’s, post titles, and more right within the new Social reports.

The concept of trackbacks, a protocol by which different sites could notify each other of referencing links, first emerged back in 2002. Since then, the blogosphere has grown in leaps and bounds, but the requirement for each site to explicitly implement this protocol has always stood in the way of adoption. If only you could crawl the web and build an accurate link graph. The good news is we already do that at Google, and are now providing this insight to Google Analytics users.

   

If you’re not familiar with Trackbacks, then think of it as automated Google Alerts for all of your pages: you publish new content, we scour the web for pages that link to it and build automated reports for you right within Google Analytics - simple as that.

These reports provide another layer of social insight showing which of your content attracts links, and enables you to keep track of conversations across other sites that link to your content. Most website and blog owners had no easy mechanism to do this in the past, but we see it as another important feature for holistic social media reports. When you know what your most linked content is, it is then also much easier to replicate the success and ensure that you are building relationships with those users who actively link to you the most.

To learn more about the new Social and ROI reporting, take a look at our announcement last month, and also take a look at in-depth example of how to use these new reports to measure your user’s engagement in Google+.

Posted by Ilya Grigorik, Google Analytics team

Mi Consejo a Google Adsence y Adwords.

La publicidad en Blogger con Google Adsence, como la publicidad en los motores de busqueda (SEM, PPC, PPM) of (Google, Yahoo!, Bing) debe ser enfocada hacia el comportamiento o gustos del visitante antes de visitar el blog o deacuerdo a sus cookies de terceros de los ultimos dias, y no hacia los gustos o comportamiento del editor del Blog.

Cuando un internauta busca repetidas veces sobre un tema en internet, o intenta varios checkout de un producto en una o varias web, o pasa mas tiempo del tiempo promedio en el sitio web, esta demostrando mas interes en ese tema de su preferencia y la publicidad Adsence o Adwords que se le debe publicar tiene que ver con productos referidos al mismo tema, las ofertas que se le deben lanzar por Adwords o Adsence deben ser apetitosas o low cost, asi aseguramos optimizar las ventas online del blog y de la website.
O sea, si le ponemos la banana al mono, seguro que la agarra y se la come, entonces si publicamos una buena oferta de un producto, seguro que hace click y compra.

Hay que recordar que los posibles compradores mayormente estan en la redes sociales, por eso los bloggers publican sus post tambien en las redes sociales para atraer mas gente hacia su blog y asi aumentar sus lectores, y posibles compradores. 

Ya que el cliente visitante esta interesado en el tema que publica el editor, es el nuevo lector/cliente o seguidor, y es el posible comprador.

El editor es mas dificil que se convierta en comprador de su propio blog.

Alex Rojas Riva

The Data in Google Analytics should be match with the Data or Blogger Statistics.

The Data in Google Analytics should be match with the Data or Blogger Statistics: 

For Geo Location Audience is very different from the Public Data of the same month interval, and is a marked difference. This advice I extend to all other segmentations : 

Example:

In my case, my blog: Digital Marketing & A Bit of All,www.alexrojasriva.blogspot.com appears as follows :

March 7, 2014 - April 5, 2014 . 

Blogger                                          Google Analytics

Statistics -Vision General-Public       Audience-Geo-Location 
________________________________________________________________

America                                          America

 
Included Canada                              Not Included Canada 
Not Included Venezuela                    Included Venezuela 
Not Included Ecuador                      Included Ecuador
Not Included Peru                            Included Peru
Not Included Bolivia                        Included Bolivia

Europa                                             Europa

Not included France                          Included France 
Not Included Italy                             Included Italy 
Not Included Romania                       Included Romania
Not Included Greece                          Included Greece 
Not Included Turkey                          Included Turkey

Africa                                                Africa

Not Included Senegal                         Included Senegal
Not Included Equatorial                     Included Guinea Equatorial Guinea
Not Included Zambia                         Included Zambia

Asia                                                   Asia

Not Included Thailand                        Included Thailand
Not included Malaysia                        Included Malaysia
Not Included Indonesia                       Included Indonesia
Not Included Philippines                     Included Philippines
Not Included Japan                             Included Japan

Middle East                                        Middle East

Not Included Israel                             Included Israel
Not Included Iraq                               Included Iraq
Not Included United Arab Emirates     Included United Arab Emirates

La data de Google Analytics debe ser unificada con la data de Blogger.

La Data de Google Analytics debe ser unificada con la Data o Estadisticas de Blogger:

En el caso de la Audiencia Geo-localizada es muy diferente de la Data de Publico del mismo intervalo de mes, y se ve una diferencia muy marcada. Este consejo lo extiendo a todos las demas segmentaciones:

Ejemplo:

En mi caso, mi blog: Digital Marketing & A Bit of All,
www.alexrojasriva.blogspot.com aparece de la siguiente manera:

Marzo 7, 2014 - Abril 5, 2014.

Blogger                                                  Google Analytics

Estadisticas-Vision General-Publico          Audiencia-Geo-Localizacion
____________________________________________________________________

America                                                  America

Incluye Canada                                        No Incluye Canada
No incluye Venezuela                                Incluye Venezuela
No Incluye Ecuador                                  Incluye Ecuador
No Incluye Peru                                        Incluye Peru
No Incluye Bolivia                                    Incluye Bolivia

Europa                                                    Europa

No Incluye Francia                                  Incluye Francia
No Incluye Italia                                     Incluye Italia
No Incluye Rumania                                Incluye Rumania
No Incluye Grecia                                    Incluye Grecia
No Incluye Turquia                                  Incluye Turquia

Africa                                                      Africa

No Incluye Senegal                                  Incluye Senegal
No Incluye Guinea Ecuatorial                   Incluye Guinea Ecuatorial
No Incluye Zambia                                  Incluye Zambia

Asia                                                         Asia

No Incluye Tailandia                                 Incluye Tailandia
No Incluye Malaysia                                 Incluye Malaysia
No Incluye Indonesia                                Incluye Indonesia
No Incluye Filipinas                                  Incluye Filipinas
No Incluye Japon                                      Incluye japon

Medio Oriente                                          Medio Oriente

No Incluye Israel                                      Incluye Israel
No Incluye Irak                                        Incluye Irak
No Incluye Emiratos Arabes Unidos           Incluye Emiratos Arabes Unidos                                   

My advice to Universal Analytics (Google).

Since Universal Analytics left beta version or trial period.My advice to Universal Analytics ( Google UA ) is to use the biometric system , iris or retina reading to unify once and for all the offline and online sales in its new tool, thus , will offer the same service for free with the same UA tool , most comprehensive analytical information of the client database, and allowing better segmenting on Universal Analytics tool (like by hardware: smartphone, laptop, PC, Tablet, by OS-software: include Ubuntu/Linux, by behavior: Offline, Online), just increase a field in the database of all customer website using Google Analytics tool , the same it should allowed on UA tool , allowing the transition from GA tool to UA tool, and also allowing use an iris reader developed by Google (new free app called RETINA UNIVERSAL ANALYTICS App, RUA App), also keep customers the free use , and updated interpretations of data closer to the existing reality.Every customer buying online will have to add a record reading your own iris , which will allow you to be unique , such as online and offline customer .When the customer goes to the physical store , with just a reading of the iris , which will be recorded by the smartphone Store and checked every certain period of time in case of lost or stolen smartphone regular customer, update data, suspected of usurpation of person in a physical store using a stolen or lost mobile want to buy using data from credit or debit card registered on the website before by the real client .After making a thorough check of the person is the real owner of the smartphone, is when only then we will know that all your data and the actual purchase you make will be added correctly to your buy offline behavior from the same client and your behavior will be recorded by Universal Analytics online, offline and on time.File reading iris client will be stored in the cloud , so if lost or stolen mobile Store is not very difficult to sell the next day at the store, and only checks with iris client when you have a purchase of a new customer and that also acts suspicious , since regular customers are well known to store employees , but new or recent customers is checked for safety and tranquility.Another tip , UA should not use fingerprint readers , as they have a higher percentage rate of duplication , but can be a second field to add to the database client to identify the same customer only , that is, double check identity .
Neither is recommended to use a number of client / customer card, because the customer always forget the number, or lose the card, or they forget to bring the card with them everywhere.
 With just my little recommended changes, Universal Analytics market win more customers Sitecatalyst Adobe Omniture, Clicktrack , WedTrends and Microsoft Analytics , ensuring the reign of the Analytics Market for many years .UA should never forget either encrypt the customer data, change the encryption from time to time, provide better customer service, be better simply because they are, and each of their products.

 Alex Rojas Riva

Mi consejo a Universal Analytics (Google).

Ya que Universal Analytics salió de version beta o periodo de prueba.

Mi consejo a Universal Analytics (UA de Google) es utilizar el sistema biometrico, lectura del iris o lectura de retina, para unificar de una vez por toda las ventas offline y online en su nueva herramienta, de esta manera, ofreceran el mismo servicio gratis, con la misma herramienta UA, informacion analitica mas completa del universo de clientes, y permitiendo segmentar mejor en Universal Analytics Tool, con solo aumentar un campo en la base de datos de todas las website de clientes que utilizan Google Analytics Tool, lo mismo se debe permitir en la herramienta UA, lo que permite la transicion de GA tool a UA tool, y ademas que permita utilizar un lector de iris desarrollado por Google (new free App called RETINA UNIVERSAL ANALYTICS App, RUA App), asi mantendremos los clientes que la usan gratis, actualizados y con interpretaciones de datos mas cerca de la realidad existente.

Cada cliente que compre online tendra que añadir un registro de la lectura de su propio iris, lo cual le permitira ser unico, como cliente online y offline.

Cuando el cliente va a la tienda fisica, con solo hacer una lectura del iris, que sera registrada por el smartphone de la tienda, y comprobada cada cierto periodo de tiempo en caso de perdida o robo del smartphone del cliente habitual, actualizar datos, sospecha de usurpacion de persona en una tienda fisica utilizando un movil robado o perdido por querer comprar utilizando los datos de tarjeta de credito o debito registradas con anterioridad en la website por el cliente verdadero.

Luego de efectuar el riguroso chequeo de que la persona es el verdadero dueño del smartphone, es entonces cuando solo asi sabremos que todos sus datos y la actual compra que realice se añadira correctamente a las compras offline del mismo cliente y su comportamiento sera registrado por Universal Analytics, offline, online y on time.

El archivo de la lectura del iris del cliente se guardara en la nube, asi si se pierde o roban el movil de la tienda no es muy complicado vender al dia siguiente en la tienda, y solo se chequea con el iris del cliente cuando se tiene alguna compra de un nuevo cliente y que ademas se comporta sospechoso, ya que a los clientes regulares son bien conocidos por los empleados de la tienda, pero los nuevos o recientes clientes se chequea por seguridad y tranquilidad.

Otro consejo, UA no debe utilizar lectores de huellas digitales, ya que tienen una tasa porcentual de mayor duplicidad, pero puede ser un segundo campo a añadir a la base de datos de cliente para identificar al mismo unico cliente, o sea, double check identity.

Tampoco es aconsejable utilizar un numero de cliente/tarjeta de cliente, porque siempre el cliente olvida el numero, o  pierde la tarjeta, o ellos olvidan llevar la tarjeta con ellos a todas partes.

Con solo hacer mis pequeños cambios recomendados, Universal Analytics ganara mas mercado de clientes que Sitecatalyst Adobe Omniture, ClickTrack, WedTrends, y Microsoft Analytics, asegurándose el reinado del mercado por muchos años.

UA nunca debe olvidar encriptar bien la data de los clientes, cambiar la encriptacion cada cierto periodo de tiempo, dar un mejor customer service,
ser lo mejores porque sencillamente lo son, y en cada uno de sus productos.

 Alex Rojas Riva