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
Saturday, April 05, 2014
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
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
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
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
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Using Electronics Before Bed May Hamper Sleep.
TVs, cell phones, computers appear to be affecting quality slumber time, survey says
By Randy Dotinga
HealthDay Reporter
MONDAY, March 7 (HealthDay News) -- Sleep tight, but not right after looking at something bright.
That's the message of a new survey that suggests many Americans might be losing valuable shut-eye because they spend the hour before bedtime in front of the electronic glow of a television, cell phone or computer.
The survey doesn't prove that exposure to bright light before bed disrupts sleep. But some experts recommend an "electronic curfew" an hour before bedtime, when people should dim lamps and avoid checking their e-mail or watching late-night TV.
"Falling asleep isn't like flicking a switch. We don't put our heads on the pillow and fall off to sleep," said Allison G. Harvey, a sleep specialist and professor of psychology at the University of California at Berkeley. "We take time to wind down at night. If we've got bright light conditions, we're not giving ourselves a chance to get off to sleep and stay asleep."
The National Sleep Foundation's annual Sleep in America poll, whose results were released Monday, surveyed 1,508 people between the ages of 13 and 64.
Overall, the survey suggests that a majority of Americans aren't getting enough sleep: 63 percent said their needs aren't being met during the week.
Ninety-five percent of those surveyed said they'd used an electronic device -- such as a television, computer, video game or cell phone -- within the hour before bed at least a few nights a week. About two-thirds of people aged 30 to 64 frequently watch TV in the hour before bed, but only about half of younger people do. Not surprisingly, those under 30 are much more likely than older people to send or receive text messages on their cell phones in the hour before bed.
The problem is that light exposure before sleep can disrupt body rhythms and suppress the release of the hormone melatonin, which promotes sleep, Harvey explained.
But does it actually hurt sleep? Harvey said the survey doesn't prove that. Still, she suspects exposure to light is a problem. "No one's proven it yet, but it seems more than tempting to speculate fairly strongly," she noted.
Dr. Matt Travis Bianchi, a sleep specialist at Harvard Medical School in Boston, said the issue of light before sleep is complicated: not all kinds of light activate body cycles in the same way, and a little bit of light -- such as from a TV at a distance -- might still cause a problem.
Also, "we are very different in our sensitivity to light," he added. "I have on rare occasions had patients who were 'light-toxic,' in that if they got bright light late at night they couldn't sleep at all. Contrast that with patients I have who sleep with the light and TV on routinely, and don't have much problems that they can feel."
What can people try to do to sleep better?
Harvey recommends an electronic curfew. Also, "try to stick to a fairly regular wake time, get bright light in the morning and dim light at night, exercise regularly and have a bedtime routine of 30 to 60 minutes when you're letting yourself wind down," she suggested.
If you don't sleep well but can't bear to tear yourself away from the TV or computer before going to bed, Bianchi recommends trying a pair of "dampening glasses," which will filter out the most damaging light. You can try them, he said, and see if they make a difference.
He also said people should be aware that it may not be the light of a cell phone or computer that triggers sleep problems. It could be the anxiety produced when you, say, read an e-mail that makes you angry.
More information
For more about understanding sleep, try the U.S. National Institute of Neurological Disorders and Stroke.
Copyright © 2011 HealthDay. All rights reserved.
HealthDay Reporter
MONDAY, March 7 (HealthDay News) -- Sleep tight, but not right after looking at something bright.
That's the message of a new survey that suggests many Americans might be losing valuable shut-eye because they spend the hour before bedtime in front of the electronic glow of a television, cell phone or computer.
The survey doesn't prove that exposure to bright light before bed disrupts sleep. But some experts recommend an "electronic curfew" an hour before bedtime, when people should dim lamps and avoid checking their e-mail or watching late-night TV.
"Falling asleep isn't like flicking a switch. We don't put our heads on the pillow and fall off to sleep," said Allison G. Harvey, a sleep specialist and professor of psychology at the University of California at Berkeley. "We take time to wind down at night. If we've got bright light conditions, we're not giving ourselves a chance to get off to sleep and stay asleep."
The National Sleep Foundation's annual Sleep in America poll, whose results were released Monday, surveyed 1,508 people between the ages of 13 and 64.
Overall, the survey suggests that a majority of Americans aren't getting enough sleep: 63 percent said their needs aren't being met during the week.
Ninety-five percent of those surveyed said they'd used an electronic device -- such as a television, computer, video game or cell phone -- within the hour before bed at least a few nights a week. About two-thirds of people aged 30 to 64 frequently watch TV in the hour before bed, but only about half of younger people do. Not surprisingly, those under 30 are much more likely than older people to send or receive text messages on their cell phones in the hour before bed.
The problem is that light exposure before sleep can disrupt body rhythms and suppress the release of the hormone melatonin, which promotes sleep, Harvey explained.
But does it actually hurt sleep? Harvey said the survey doesn't prove that. Still, she suspects exposure to light is a problem. "No one's proven it yet, but it seems more than tempting to speculate fairly strongly," she noted.
Dr. Matt Travis Bianchi, a sleep specialist at Harvard Medical School in Boston, said the issue of light before sleep is complicated: not all kinds of light activate body cycles in the same way, and a little bit of light -- such as from a TV at a distance -- might still cause a problem.
Also, "we are very different in our sensitivity to light," he added. "I have on rare occasions had patients who were 'light-toxic,' in that if they got bright light late at night they couldn't sleep at all. Contrast that with patients I have who sleep with the light and TV on routinely, and don't have much problems that they can feel."
What can people try to do to sleep better?
Harvey recommends an electronic curfew. Also, "try to stick to a fairly regular wake time, get bright light in the morning and dim light at night, exercise regularly and have a bedtime routine of 30 to 60 minutes when you're letting yourself wind down," she suggested.
If you don't sleep well but can't bear to tear yourself away from the TV or computer before going to bed, Bianchi recommends trying a pair of "dampening glasses," which will filter out the most damaging light. You can try them, he said, and see if they make a difference.
He also said people should be aware that it may not be the light of a cell phone or computer that triggers sleep problems. It could be the anxiety produced when you, say, read an e-mail that makes you angry.
More information
For more about understanding sleep, try the U.S. National Institute of Neurological Disorders and Stroke.
Copyright © 2011 HealthDay. All rights reserved.
Tuesday, April 01, 2014
The Three Greatest Survey Questions Ever.
Occam's Razor
by Avinash Kaushik
Survey Questions Ever
The VP of a Fortune 100 company recently asked for some advice. They
were heading into their peak selling season that would last only three
months max, and they only had an ability to measure revenue from the
website, nothing else. They did not have any web analytics tool. Her question was: Which analytics tool do you recommend because we want to improve our website and increase sales.
My answer: Don’t implement a web analytics tool, implement a short website survey that would have just three questions.
Surprised?
There were a number of factors behind my recommendation but one of the main ones was that if you want to move really really fast and you don’t know anything then it is better to ask the customer what you should do rather than implement a tool and try to figure it out based on clicks. You will get better insights, faster than you can imagine.
Web analytics is awesome (you do expect me to say that don’t you! : )), is has to be a critical part of your web strategy because it can yield great insights. But for the fastest way to understanding customer problems there is nothing like asking the customer herself / himself (and yes it will lead to improved revenues).
Given the time crunch going to the customer made the most sense, implementation of the Web Analytics tool would happen and after a month or so and slowly over time ClickStream data would play a increasingly important part in decision making. In due course it would achieve parity with the Qualitative data (but hopefully never overshadow it).
Ok so survey got the nod, what questions to ask?
[UPDATE: Qualroo is an affordable survey tool to create the survey below, it also has a user-friendly survey invitation model. Another option is Google Consumer Surveys, it has a free version with the questions below.]
Here are the three questions no survey can live without (and often a survey can be pretty awesome with just three questions):
What is the purpose of your visit to our website today?
- It can also be framed as "what is the reason for your visit today" or
"what task are you looking to accomplish on our website today" or "why
are you here today".
Few website owners have a good understanding of why people visit their websites and this is one of the best possible ways for you to find out that critical piece of information. Answers that you will read, the distributions you will get between different primary purposes, will be eye opening for you, and they will help explain so much of the "weirdness" you see in your ClickStream data (and yes even your path analysis).
- If you like conversion rate and revenue then you are going to love
this one. An extremely simple question that asks the survey takers to
self report their own perception of your website's effectiveness in
helping them complete their tasks.
With this question we don't have to rely on our hypothesis such as if the visitors saw this page then they might have gotten their question answered or if I am measuring conversion then I can understand how effective my site is or our site is doing great because we just launched a massive quarter of a million US dollars redesign. We have the customers voice telling us exactly how well the website is performing when it comes to delivering the goods.
If you were not able to complete your task today, why not?
- It can also be framed as "If you were able to not complete your task
please explain" or "Why were you not able to complete your task on our
website today" or simply as "How can we improve our website to ensure
you are able to complete your task", etc.
The answer to this question is open text VOC, Voice of Customer. It is optimal to refrain from making this a drop down with choices like: Improve internal search, Update the navigation, and Provide more product information etc etc. Let the customers talk, give them a chance to tell you in their own voice the reasons and provide you with suggestions. It works better than you guessing what the answers might be and suggesting those.
Analysis for this question is done by categorizing the responses into common themes and then rating the % of times each theme is occurring in the open ended VOC for those who are not able to complete their task. This is your simple and direct to-do list of issues directly from the horse's mouth about what you should work on in order to improve your website experience for your customers.
ClickStream data is often missing the context, in that absence we overlay our own opinions / experiences / perspectives to make sense of it all. But with answers to these simple questions you’ll have the context to make sense of it all.
What do you all think? Have you tried surveys? Do you have a golden question or two that you use? Please share your own tips and feedback on my question suggestions above via comments.
PS:
Couple other related posts you might find interesting:
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