Archivo de la etiqueta: Data

Posicionamiento de dominios internacionales | via sietepecadosdigitales.wordpress.com


Gabriel Catalano - human being | #IN.perfección®:

Muchas veces asociamos pautas de Posicionamiento con post-producción web, es decir … “Primero hago mi Página Web y luego ya iremos optimizándola”. En mi opinión creo que es un pensamiento equivocado, las estrategias de Marketing Digital también deben estar previamente estudiadas para de esta forma poder prever consecuencias inesperedas.

La sabiduría consiste no sólo en ver lo que tienes ante ti, sino en prever lo que va a venir (Publio Terencio Africano)

Otra cosa es cuando nosotros como profesionales no hayamos participado desde el primer momento y por lo tanto sólo podamos lleva a cabo auditorías y después ofrecer soluciones.

Cuando planificamos una Página Web, una de las primeras acciones que debemos llevar a cabo es la elección del dominio. En principio si el ámbito de influencia es únicamente nuestro país o región, la elección será más o menos sencilla, por regla “general” un dominio ccTLD (Country Code Top Level Domain): .es, .fr, etc. Pero ¿qué pasa cuando queremos que la Web abarque varios países?
Hoy quiero mostraros unas diapositivas creadas por Fernando Macía (@fernandomacia) durante la “VII Feria de tiendas Virtuales de Málaga” celebrada los días 16-18 de Abril … “Posicionamiento internacional en Buscadores” [DIAPOSITIVAS]

  • ¿Qué dominio le conviene a mi Página Web?
  • ¿Debería ser nombre del dominio en inglés?
  • ¿Debo comprar más de un dominio según los países a donde quiera llegar? etc.

Si alguna vez os habéis hecho estas preguntas, seguramente os ha tocado lidiar con proyectos web desde la primera fase. Así que os dejo a modo de resumen (os aconsejo leer todas las diapositivas previamente) algunas pautas:

Si tu tráfico no depende mucho de una sola keyword, si no puedes generar popularidad hacia tu subdominio, etc. es recomendable crear subdirectorios.

  1. Si nuestra Web tiene pocos enlaces entrantes y pocas páginas … subdirectorios (ejemplo.com/es-ES/)
  2. Si hay una cantidad relevante de enlaces entrantes y páginas … subdominios (es.ejemplo.com)
  3. Si hay una gran cantidad de enlaces entrantes y muchas páginas … dominio propio (ejemplo.es, ejemplo.fr)
  4. Intentar alojar tu Web en el/los servidor(es) localizados en la misma zona de influencia

Utiliza etiquetas

A) Usa la codificación más adecuada (UTF-8, ISO, etc.)
B) Adecua el contenido, las keywords, etc. al país al que va dirigido
C) Separa los idiomas por subdominios o subdirectorio, si quieres ahorrarteoughts here… (optional)
Artículo súper completo…
http://sietepecadosdigitales.wordpress.com/2012/06/20/3813/

Originalmente publicado en 7 pecados digitales:

Muchas veces asociamos pautas de Posicionamiento con post-producción web, es decir … “Primero hago mi Página Web y luego ya iremos optimizándola”. En mi opinión creo que es un pensamiento equivocado, las estrategias de Marketing Digital también deben estar previamente estudiadas para de esta forma poder prever consecuencias inesperedas.

La sabiduría consiste no sólo en ver lo que tienes ante ti, sino en prever lo que va a venir (Publio Terencio Africano)

Otra cosa es cuando nosotros como profesionales no hayamos participado desde el primer momento y por lo tanto sólo podamos lleva a cabo auditorías y después ofrecer soluciones.

Cuando planificamos una Página Web, una de las primeras acciones que debemos llevar a cabo es la elección del dominio. En principio si el ámbito de influencia es únicamente nuestro país o región, la elección será más o menos sencilla, por regla “general” un dominio ccTLD (Country Code Top…

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55+ Google Analytics Custom Alerts – The Check Engine Light For Your Data


Last month, Phil wrote a blog about five features of Google Analytics that you probably are not using, but there obviously are more than five, and here’s another one that you probably aren’t using, but you should. In fact, I think this is probably one of the KEY things you should do when setting up an account and a new website, and it’s my bet that the vast majority of people don’t do it at all.

Custom Alerts

Why use Custom Alerts? Because you don’t check your analytics every day. OK well some of you data geeks that read this blog do, and I do, but most people who are just regular people, they don’t. That guy who is wearing 20 hats, he doesn’t have time to go over his data every morning for an hour or two. You could argue he should, but maybe he doesn’t. Custom Alerts can let him know, in general,

if there is something that needs his or her attention. Is something significant, or at least possibly significant happening? Should someone take a look? it’s like a check oil or check engine light on your car. If the light doesn’t come on you probably (I hope) change the oil on your car regularly, but if something is going wrong with your oil, then you sure are glad that light is coming on to let you know to check it. Sigue leyendo

Multiscreen Consumers Research and Engage Brands Digitally


iabresearchbuy585.jpgmarketingcharts.com | bit.ly/LFGuyR

Not surprisingly, the more screens a consumer uses, the more likely he or she is to discover and research products online, versus offline. While 75% of two-screen (2SCRN) consumers list offline sources like word-of-mouth, catalogs and television as their primary way of discovering new products, that percentage drops to 63% for 4SCRN consumers. And, the more screens consumers use, the more likely they are to welcome digital engagement by marketers post-purchase, according to [pdf] a May 2012 report called “The Multiscreen Marketer,” conducted by eConsultancy on behalf of the the Internet Advertising Bureau (IAB).

In an attempt to explore how the multi-screen affects shopping, if at all, consumers were asked to list their top three sources (both online or offline) for becoming aware of new products, researching products and finally, for being kept in touch with by brands.

First Impressions Are Offline Sigue leyendo

The Science of Social Timing Part 2: Timing & Email Marketing


 http://blog.kissmetrics.com/

Are certain times better than others for sending your email campaigns? In the second part of this series we’re going to investigate how timing can impact your email marketing. Data suggests that there are distinct windows in which to send emails if you want to achieve the highest open rate and maximize your readership. When reading this infographic remember: your own email timing data is the best data you can get your hands on!

Data courtesy of Dan Zarrella (@danzarrella), Pure360 (@pure360) and HubSpot. Content available as a webinar by Dan Zarrella here. Sigue leyendo

Which Smartphone Apps are the Biggest Data Hogs?


Which classes of apps eat the most data? Which single apps in each category are the least data-efficient? We tested various popular Android apps to find out.

Are you aware of how much data your smartphone’s apps are using up? Android phones are averaging about 583 megabytes (MB) of data usage monthly, according to 2011 stats from Nielson.

Some apps are far worse than others when it comes to data usage, and it’s important to know which ones are the hogs, especially for those on limited or low-end data plans.

And limited or capped data plans appear to be the wave of the future. For instance, AT&T offers tiered plans ranging from 300MB to 3 gigabytes (GB) per month. When you exceed your monthly allotment of data, your carrier either throttles down your speed or hits you with expensive overage charges.

We tested the data usage of popular apps in six different categories to find out which are easiest and hardest on data. If one of your go-to apps is a data hog, you may be able to find a similar app that does the same things but uses less data.

We tested the apps using a Droid Razr phone running on Verizon’s 4G LTE network, and used theMy Data Manager and Onavo apps to measure the data being used. Sigue leyendo

What to do with the data for ‘Brand Me’?


by Maeve OSullivan | http://wallblog.co.uk/

I really care about databases.  It may not make for great dinner party conversation, but a well-maintained database has always been essential to marketers who want to understand and connect with customers.  Social media has taken this information gathering to a whole other level and I hold all kinds of data on myself now. Millions of us are going about our daily lives collecting data on all kinds of platforms that would make marketers giddy with excitement.

On a personal level, I wonder in what ways we can benefit from our own data, or have we just shifted irreversibly to a culture where we share our information for free in exchange for use of social platforms?

Now, none of the personal information I gather will position me as a cutting edge influencer anywhere – most definitely not when it comes to the stats on my running app – but the fact that I’m even considering the transactional value of my personal data to brands indicates how dramatically attitudes have changed over the last few years.  Until quite recently, many if not most people would exist online using an avatar or nickname. Sigue leyendo

10 Data Points: Information and Analytics at Work


http://sloanreview.mit.edu/the-magazine/articles/2010/fall/521150/10-data-points-information-and-analytics-at-work/

By Nina Kruschwitz and Rebecca Shockley

Early returns are in from the first annual New Intelligent Enterprise Survey. Here are major highlights of what executives and managers said about how they are — or are not — capitalizing on information.


The New Intelligent Enterprise inquiry is all about the intensifying wave of data that organizations are facing, and its implications for managers. Companies are becoming data driven in ways that are new, raw and — in many cases — untested. And now so are we: We’re trying something new by letting the data come first, without a lot of editing or parsing. Here is a slice of the raw goods, a kind of behind-the-scenes look at the data we gathered from our survey of nearly 3,000 managers and executives from every major industry and all regions of the globe. (Also see “10 Insights: A First Look at The New Intelligent Enterprise Survey.”)

We chose these 10 charts to share because they captured our attention. Some are provocative, some are telling, and some raise questions we haven’t even tried to answer yet. They’re by no means comprehensive, and our final report will cover many more points accompanied by rigorous analysis. But we do think you’ll find these graphics worth a look if for no other reason than that they allow you to do some immediate benchmarking. How does your organization compare with others? What are your peers doing, and how might that influence decisions you’re considering right now?

The survey respondents answered two questions that allowed us to group them and their answers in some interesting ways. One question asked them to assess where their organization is along the journey to an ideal state: an organization that has been “transformed by better ways to collect, analyze and be prescriptively guided by information.” Those that were farthest along that path we deemed Sophisticates; those who were midway became Intermediates; while those that were just beginning to look at data and analytics we called Starters.

We also asked them to describe their organization’s competitive position. Those that rated themselves as substantially outperforming their industry peers we named Top Performers. Those that were underperforming we labeled Lower Performers. You’ll note both groups called out in the accompanying charts.

1. Innovation is the Top Business Challenge

More than 60% of all respondents chose innovation for competitive differentiation as their main business challenge over the next two years. In a recessionary business climate, doing more with the resources and talent you already have is always a favored strategy. When we parsed the data, we found that Starters (new users of analytics) were entrenched in “survival mode,” focused on cuttings costs and creating efficiencies as their main challenge. Intermediates (moderate users of analytics) were in “growth mode,” focused on growing revenues. Sophisticates (advanced users of analytics) were in an “expansion mode,” focused on growing revenues and expanding their customer base through acquisition or retention strategies, perhaps because their use of analytics had already helped them optimize their operations and general growth approaches.

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