Analytics 2.0

Much more than just tagging

Google launched some feature improvements

Last month Google launched some feature improvements for their flamboyant Google Analytics version. Those improvements are:

- “Go to box:” This function is very usefull since it allows you to jump direct to an specific row instead of scrolling up and down. If you have 5,000 referring sources and you want to see row 3,456, you can jump right to it.

 

- The Map Overlay report view now defaults to Country instead of Subcontinent.

 

- Content reports now have a Segment menu so you can cross-segment pages and sets of pages by referral source, keyword, visitor type, and other visitor segments. This is very usefull if your site is composed by heterogeneous sections and wants it to analyze them as separted sites. Thanks Brett, very welcome stuff.

- Drill down function in the “top content” report. So if you want to drilling down on a specific title in the Content by Title report now is available letting you analyze and follow up URLs sharing the title.

Good to know they are hearing Google Analytics users and reacting.

Juan Damia (web analytics)

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Microsoft Web Analytics the first real Google Analytics competitor

Last 09th of January Ian Thomas posted in his blog (Lies, Damned Lies… “The unpredictable world of online marketing and web analytics) a note called “the rumors are true, Microsoft ‘Gatineau’ exists” with he following disclaimer:

“None of the information in this blog post constitutes a commitment on Microsoft’s part to deliver any particular technology or service. Any and all of the information here is subject to change without notice”.

gatineau

But what Microsoft Gatineau is?

Gatineau is the code-name for Microsoft’s forthcoming web analytics tool based on technology they acquired from DeepMetrix Corporation last year. Gatineau is the name of the Canadian city where DeepMetrix was based for a number of years. Final naming for the product is still unconfirmed. Continue reading

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Do you want traffic? You need a social network!

Social networks allow people to interact easily with people and share interests and passions. Internet knew how to capitalize this trend letting people to interact and generate content. The results it amazing, just take a look at Alexa´s top traffic websites.

Social Network

 

 

RANK

Web Site

1

Yahoo!

2

Microsoft Network (MSN)

3

Google

4

YouTube

5

Windows Live

6

MySpace

7

Baidu

8

Orkut

9

Wikipedia

10

QQ

11

Megaupload

12

Hi5

13

FaceBook

14

Microsoft Corporation

15

Yahoo Japan

16

Blogger.com

17

RapidShare.com

18

Sina

19

Ebay

20

Friendster

21

Fotolog.com

22

Sohu.com

23

163

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Web Analytics – An hour a day

If you are in the internet industry you sure know Avinash, one of the most dedicated web analytics professionals. His passion for web analytics allowed him becoming one of the top referents of the industry. His blog Occam Razors is visited by the most important industry professionals making it the most visited web analytics web site.

An hour a day

Now, Avinash is presenting his book “Web Analytics, an hour a day”, where he goes beyond web analytics concepts and definitions to provide a step-by-step guide to implementing a successful web analytics strategy. His revolutionary approach to web analytics challenges prevalent thinking about the field and guides readers to a solution that will provide truly informed and actionable insights.

In Part I, Avinash explains why traditional web analytics is dead and introduces the Trinity mindset and strategic approach for web analytics. He then details the data collection options at your disposal for robust analytics and the pros and cons of each methodology (such as clickstream, outcomes, research, and competitive data). He concludes Part I with a deep dive into qualitative data and its critical role in any web analytics program.

In Part II, Avinash provides insights that will challenge your knowledge of what it takes to create a successful web analytics program. He covers customer centricity, optimal organizational structure, how to identify great analysts, and his (now famous) 10/90 rule of web analytics. From his experience, he outlines radical strategies for how you should select the right tool for your company (while saving money and peace of mind) and identify truly valuable metrics with his three layers of So What? test. He concludes Part II by providing a fresh perspective on some of the most common web analytics reports that you’ll never look at in the same way again.

In Part III, Avinash guides readers to a successful web analytics strategy and implementation month by month, day by day, and hour by hour. A customized quick-start guide for different businesses (including blogs) is followed by increasingly advanced and crucial analytics topics, such as search analytics (SEO, SEM/PPC and internal site search) and multi-channel marketing analytics. That’s followed by the revelation of the key ingredients of a great experimentation and testing platform, performing competitive intelligence analysis, and Web 2.0 analytics.

Avinash then discusses the three secrets behind making web analytics actionable and, in his clever, engaging, and thought-provoking style, debunks leading myths about path analysis, conversion analysis, and real-time data, for example.

Finally, Avinash highlights seven specific steps you can take to create a data-driven decision-making culture in your company and then discusses such advanced analytics concepts as statistical significance, SEM and PPC analysis, the power of segmentation, complex yet insightful pan-session metrics, and conversion rate best practices.

Sprinkled throughout the book are real-world examples drawn from Avinash’s experiences as an analytics professional at Intuit, DirecTV, Silicon Graphics Inc., and DHL.

The book includes an innovative CD that includes more than five hours of insightful audio podcasts, a 45-minute video, PowerPoint presentations, and other useful web analytics resources.

Congratulations Avinash!!!

More information here

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Pageviews, Visits and Visitors. Is that enough?

Pageviews, visits and visitors, are apparently the most important metrics for measuring our website performance. Then as much pageviews, visits and visitors we could have as better our site performance is.

Unfortunately this view is not only weak but incorrect.
Those three metrics allow us measuring different kind of things. So if we have a publisher website our main metric is pageview (this is the way it works but is has lot of issues I’ll mention in a future post).

If we are measuring a chat, unique visitor is out metric, because what we do want is people stay in the chat longer and not to come in and come out.

So not all the indicators are KPI’s (key performance indicators), and you make the difference by defining and giving them the correct meaning.

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Nielsen Shuts Window on Pageview Rankings

Yahoo reports that Nielsen/NetRatings will be scrapping the pageview-based rankings system that’s long comprised the industry’s webpage yardstick, in favor of tracking the length of time visitors spend at sites.

nielsen_logo

The move comes as new technologies, such as online video and AJAX, chip at the relevance of pageviews. AJAX in particular is tricky, as it automatically populates sites with new information without a user having to refresh the screen or pull up new pages. This technology renders the pageview yardstick virtually worthless. ComScore Media Metrix, a Nielsen rival, recently developed a new metric to weather changes in site value led by AJAX. “Site visits” count the number of times a person returns to a site with a break of a half hour or more. “Based on everything that’s going on with the influx of Ajax and streaming, we feel total minutes is the best gauge for site traffic,” said director Scott Ross of Nielsen’s product marketing. He added that Nielsen is “changing [its] stance” on how data should be used. Nielsen already measures the average time a user spends at a given website, as well as the average number of sessions per visitor. It will begin reporting these units to help paint broader pictures of site use for investors, advertisers and analysts. In terms of time spent, Time Warner’s AOL will see a more positive ranking, because its instant-messaging software now gets counted. AOL logged 25 billion minutes in May, a score ahead of 20 billion counted for Yahoo, making it number one. Via pageview count, AOL ranked sixth. Yahoo leaps ahead of MySpace and other Fox Interactive Media sites for both pageviews and time spent, logging over twice the time spent at Fox. It was ahead by less than 10 percent in pageviews. And while MySpace forces users to pull up new pages every time they have to update data, Yahoo utilizes AJAX to draw new data without the user having to leave a given page. Google will see a drop to fifth in time spent, simply because its search engine is intended to guide users elsewhere as quickly as possible. It ranked third in pageviews. Nielsen/NetRatings will continue to provide pageview data but will cease to formally rank them. Ross explained that time spent on a site is a better gauge for the level of engagement users experience with a site. The company is expected to announce the measuring shift on Tuesday (MarketingVOX).

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My kingdom for a pageview

If there is something that revolutioned the internet it is SEM, mainly with google. This company understood that value of relevant content and give the chance to people who generate it to earn some money.

The result is really good, they have a really simple service, that almost anyone with a minimum internet knowledge could handle. Both, adwords and adsence give the users a lot of technical and marketing support (even with very simple e-learning modules).

visitor

The fact is that today citizens became publishers, and the the TV raiting war is being emulated but in a different scenario. The objective? Traffic.

Regular citizens start talking about, pagerank, alexa, inbound links, and other different things formerly used only by internet professionals.

Actually the web analytics tools are becaming more and more user friendly. One of the best examples is the new version of google analytics, focused on simplicity instead of flexibility. This is not good or bad, just a fact. Is really hard to get the best of both worlds, and google like most of other providers has taken a desition.

Finally, how high could be the price people pay for traffic? And what’s behind that traffic? But nevermind, anyone cares about it?

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Complacency ‘rife’ in IT projects

Many European IT workers are not being held responsible for delivering projects late, a new study suggests.

It found that 51% of European IT professionals said there would be no risk to their job, compared 33% in Asia and 22% in the Americas.

ALL IT PROJECTS ON TIME
Sweden 44%
Switzerland 24%
Czech Republic 20%
Germany 19%
Denmark 16%
UK 11%
Finland 8%
Israel 8%
France 6%
Belgium 4%
Italy 4%
Netherlands 4%
Russia 4%
Spain 4%
Source: EIU/HP
pc

The study was conducted by HP and the Economist Intelligence Unit (EIU) which spoke to 1,125 professionals worldwide.

They said Sweden was the most likely country for a project to be delivered on time in Europe.

Sweden was the only country in Europe where more than a quarter of respondents could say that all of their firm’s IT projects had come in on time in the last three years.

The UK came sixth with 11%.

The three most common causes for delay were outsourcing, changing priorities half way through a project and poor co-ordination between managers.

David Quantrell, Vice President of HP Software EMEA said the responses about the effect on careers of late projects showed that IT departments are not being held responsible.

“This shows the lack of accountability of IT departments in delivering business results,” he said.

The outcomes of IT projects have been slipping, with 57% of respondents saying that fewer than half of the IT initiatives in their firms had a positive outcome.

That is up from a figure of 54% in the same survey in 2006.

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Some important points about Web Analytics Tools

p>In more than 10 years of experience I had the chance of trying almost all the well known web analytics tools, and I found some points that in my opinion Web Analytics tools developers must consider for their products.

WebAnalytics

1- Flexibility: Web Analytics tools are becoming more and more simple but at the same time less flexible. The possibility of manipulate the information inside the tool is a must, and in a lot of cases is not even available an API.
2- Cost: Prices are in general ridiculous. When Google Analytics was launched I thought that prices should decrease but they don’t. So in one hand you have Omniture, Webtrends, Coremetrix and others with unaffordable prices and on the other hand Google analytics for free.
3- Heterogeneous information: every web analytics tool has different technologies and the ones with similar technologies have a different way of processing it, so comparisons became very difficult.
4- Heterogeneous technology: There are two main technologies, “log file analyzers” and “page tagging”, but also hybrid and packet sniffers among others. All seems to be technological correct, but at the same time track and process the information in a completely different way.

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Web analytics and the Online Based Applications

In web analytics we track, tabulate and analyze data from all what is displayed (and not) into an internet browser.

Today the most normal things we display in a web browser are websites, blogs, and so on. But the desktop applications are installed in every computer so today we have part of the information of what every person do with a computer.

Google SS

The trend in a short term future is the all the desktop applications are going to be online (thanks God), no more installing hundreds programs after formating or changing your PC.

But the thing is, does it became a web analytics task to analyze not only the websites but the applications? I mean at least the companies that provides those applications will need to understand how and when people use them. So my point is, if we are going to be more and more browser based its important to define the limit among private and public information.

Juan Damia – Web Analytics

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