Showing posts with label Urchin. Show all posts
Showing posts with label Urchin. Show all posts

Wednesday, February 13, 2013

How did it all start ?



Figured it is only appropriate to write (and learn) about the history of web analytics for the last blog of the session. In addition, it would be interesting to find out whatever happened to the firms that had pioneered this industry; spoiler alert, most of them are no longer with us.
 

Origins

The first idea around creating web analytics, the accumulation and analysis of traffic and visitor behavior, came to fruition around 1992 (1). During this period this was a capability needed by administrators that wanted to get transparency into activity on their sites to ensure site was actually functional and it was up and available.
Probably, shortly after marketing firms started to look for ways that this information could be utilized to reach customers in a more efficient way. And it seems like this was the moment when the responsibility for web analytics moved from the technology division to the marketing teams.
 
 

Where are they now ?

In the beginning, 2 different schools of web analytics emerged, front runner to the birth of 2 types of analytics vendors  (2); software retailers similar to WebTrends (still in business as an independent company!) and NetGenesis (which hasbeen acquired by SPSS in 2001) and ASPs (Application Service Providers) including Urchin (acquiredby Google  in 2005) , Unica (now part ofIBM), CoreMetrics (anotherIBM target) and WebSideStory (boughtby Omniture which was later acquired by Adobe) which offered browser tag based approach. The “in-house” approach used installed application on a local hardware and meant to review data gathered in the web-logs. The other approach, Application Service Providers, tried to utilize the hosted solutions to view throughput and other relevant information. (3)



In the mid 90’s introduction of affiliate concept spurred an era of predictive web analytics shops and the first the company to came up with this idea was a small two year old company called Amazon (4) and popularized mainly by on hobby sites. At any time, a site could have a bar on top of their site with banners that connectedtheir affiliates. Usually, these sites (or affiliates) would have some common attribute with the other affiliates. As these relationships got more sophisticated, affiliate concept started to include sophisticated software which enabled the site to order links based on the visitor volume they got form their affiliate sites, basically incentivize affiliates to include links on their sites to swap visitors. Near these banner bars was usually a link to an external analytics service, where affiliates and site visitors could see how many unique visits the site received per day. (5)

Increasing amount of websites utilizing this sort of affiliate program drove the explosion in external web-analytics start-ups, and subscription driven services slowly started become more prominent. In the beginning, these subscription based offerings primarily targeted large enterprises, but over time started to target smaller entities and personal websites as they became more available and affordable with the emergence of e-commerce.

Following the dot com bubble burst, early 2000s, the web analytics industry entered an era of consolidation that even continues today and very evident a few paragraphs ago.

The Dilemma


I think the main question at this point is, whether such a rapid consolidation of a new field like web analysis raises the question of less innovation down the road. Obviously, in a very short period of time the huge technology companies Google, Adobe and IBM acquired almost all small, agile start-ups that had started the analytics paradigm. However, the obvious counter argument is these corporations have the means, both intellectual and capital, to fund costly software initiatives which could very well spurs growth and innovation. Only time will tell.

Meanwhile, Microsoft with 66 billion in equity (6) is nowhere to be seen in this market since 2009. I think it is not unfair to categorize this as an “historical” surrender and an interesting side note.

What is next ?


Finally, as the field matures, the new frontier and sure to be an historical milestone one day is the web ethics, that raises the question of the data should be collected and used. One thing is for certain, as the debate around ethics on the web, the utilization of cookies, tags and storing data increases, the analytics area will be impacted. It is going to be fascinating to see where the web analytics go next.

References:


1)      Brief History of Web Analytics. Dems, Kristina
http://www.brighthub.com/internet/google/articles/76256.aspx


3)      Application Service Provider. Rouse, Margaret
http://searchsoa.techtarget.com/definition/application-service-provider

4)      History of Affiliate Marketing. Collins, Shaw
http://www.clickz.com/clickz/column/1699440/history-affiliate-marketing

5)      History of Affiliate Marketing. Vredenburgh, Evan
http://ezinearticles.com/?History-of-Affiliate-Marketing&id=7125115

6)      Microsoft, Wiki.
http://en.wikipedia.org/wiki/Microsoft

 

 

Sunday, February 10, 2013

Yesterday’s Web Analytics is Today’s Digital Analytics


Web Analytics and Digital Analytics are interchangeable used today. Is there a difference? What changed and how did it change? are questions this blog will make an attempt to answer.

The word “analytics” when searched in online dictionary returns “The science of logical analysis”. In 2003 the analytics and online world were completely different. Internet was a sum of websites, most of the people had no idea what web analytics was? KPI was something people were talking about but most of indicators were not very useful. 

"Google Analytics" (Today’s market leader in quantity of accounts) was not even in the market, actually Urchin was not even acquired by Google yet. On right is a screenshot of Urchin website in 2003. Google Analytics is such a big hit since the acquisition leaving Urchin “Out of sight Out of Mind :)”

Page views and CTR’s were topics of discussion to analyze and suggest marketing changes but today’s applications involve more in-depth analysis on what the user/company is doing and how data can be meaningful for decision making. In other words, several different data categories and data sets are now turned into business intelligence.

A website design change to engage users on the website is no longer primary drivers for most of the users (company’s/businesses). Today’s users are interested in integrating different sets of data available from different channels internally and externally to arrive at strategic decision which can direct a fundamental shift in how the user is doing business to maximize revenue.

Capital spending on purchasing robust application tools and hiring analysts with database systems (DBS) backgrounds is increasing every year. Several analysts now concentrate on path to improve business metrics using vast data available from customer’s web usage reports.

Big enterprise users are now using analytics as “Digital Analytics” to drive complete integration by diving deep into vast data available to find excellent triggers for making strategic business decisions. Small business still use analytics as “Web Analytics” and are hesitant to spend more capital, time and resources in integrating different sets of data  and are content with both leading and lagging indicators basic analytics is providing.  

Figure on the left summarizes some highlights discussed above to distinguish what are changes since 2003 in the world of analytics.

In 2003, an organization that joins the efforts of many Analytics professionals around the world on topics relating to standards, best practices, Ethics, etc was formed and was named as “Web Analytics Association”. After 9 years in 2012 the group changed its name to “Digital Analytics Association” for similar reasons discussed in this blog (http://www.digitalanalyticsassociation.org).

In conclusion, Digital Analytics is more apt to reflect growing demand for in depth analytics. In near future even small businesses will start to use robust dashboards custom made that are more intelligent than current “Web Analytics” platforms. Opportunities that today’s technology provides is by no means confined to only web based actions and world is transforming into “Digital Analytics” at a rapid pace. Don’t miss the next big thing!  

References:

(1)http://www.analytics20.org/web-analytics/analytics-20/digital-analytics-online-analytics-web-analytics-why-dont-we-keep-it-simple-2/

(2)http://online-behavior.com