Archive for the 'Web Analytics' Category

Tapping into competitive behavior on the web via search data

While perusing Avinash Kaushik’s book Web Analytics – One Hour A Day (you can visit Avinash’s blog here on visit our blogroll), I stumbled upon a cool tool that I had used before, but had not touched for a while. I must admit that although I am rather refractory when it comes to using Microsoft products beyond the bearable minimum, its adCenter Labs is a pretty cool tool worth mentioning. If you are in search for intelligence in the field of competitive web usage behavior, Microsoft adCenter Labs may be something you should be looking into.  Although it has been around for quite some time now, this powerful tool is pretty underutilized and therefore worth being put on the front burner, especially in tough times where the optimization of existing business processes is king.

Microsoft’s AdCenter Labs - the intelligence layer

AdCenter Labs uses search data to retrieve competitive and demographic information related to keywords. Imagine just for a second the huge amount of information collected in the process of people entering keywords into Google, MSN, Yahoo etc. You will certainly agree that each of these keywords represents an intention. For example, when you enter the keyword ‘Dell’ into Microsoft’s Live Search, chances are you are looking to buy a computer. You may be interested in learning more about the models that Dell has available, interested in learning more about the features of a specific model or may even be looking into comparing prices but in the end, your search for ‘Dell’ indicates a clear intention to buy a computer.

On the other hand, Microsoft collects a huge amount of personal data through its Microsoft Live ID network and is therefore able to link search queries to demographic data such as your age, sex, location, etc. If you have a Hotmail account, use Messenger or regularly visit MSNBC for example, your search Live Search queries are linked to your demographic data and therefore provide valuable insights into your preferences and web search behavior. What more is the search engine knows what keywords you have been entering before the Dell keyword and it knows what you will be entering afterward… doesn’t that provide for a nice potential to predict web behavior? Now don’t think that you are immune of this kind of data logging if you don’t use any of the aforementioned Microsoft websites or other tools.  Ever been to Expedia? Bingo! Expedia is part of Microsoft’s Live ID network and so are other web services.

Don’t you think for a second that Microsoft is alone in collecting search data and matching it with demographic data. Biig brother in search land actually is… well you guessed it: Google!  Google uses a similar  approach.

How you can benefit for FREE

But what does this mean to you as an organization maintaining a website, doing business on the web or analyzing competition? Well, it would be of no use at all if the data was stored on Microsoft or Google servers and was being used  for internal purposes only, yet here is the scoop: Google and Microsoft both provide FREE ACCESS to the intelligence buried in the matching between search data and demographic data, completely legally!  Let me give you a couple of examples:

MS - Demographics prediction tool:

Would the following intelligence be of interest to you if you wanted to gather some basic demographics about who is looking up ‘Quebec investment’ on the web? What if you were an organization with a goal to attract investment? What if you were to launch an Internet marketing campaign and were looking for the right keywords to target your audience?

Quebec Investment - demographics prediction tool

What if you were a private consultant selling life insurances? Would the following information help you in the design of an online marketing campaign? What if you could repeat your query with this tool, entering additional keywords and combination to find out more? Useful, not useful?

Demographics prediction - Life insurance

MS - Search funnels tool:

If you are a company using the internet to sell products or to generate leads, would you be interested in knowing what people were thinking before they entered your product in the search engine? What about gaining insights into their intentions after they entered a keyword that relates to your product?  What about knowing what names pops up in their heads when searching for a specific product or service? Valuable intelligence when it comes to determine keywords for your own online campaigns or to adapting your ad copy to what you know goes through the heads of your target groups:

Microsoft adLabs Search Funnel tool

Web Analytics Focus: Why Cookies May Be Not So Bad After All?

No, this is not an article going into a detailed analysis of dangerously high levels of cholesterol or hydrogenated fat. We all know how important it is to avoid both. What we are trying to understand are the deeper reasons for which 40% of Internet users are deleting third party cookies on a regular basis, while first-party cookies are accepted by 98%+ of visitors.

Cookies are small portions of text (usually no bigger than 4K) that are transmitted to a web browser so that it can keep track of a user’s activity on a specific website. Most anti-spyware and anti-virus programs define some type of cookies as undesirable and block them by default. These are the aforementioned third-party cookies and we will come back to them later.

Maybe we should get rid of a myth right away: Cookies cannot act maliciously on a computer. The main purpose of cookies is to store user preferences and activities while browsing webpages.

Cookies are installed on your computer’s hard drive when you visit a website and there is nothing bad there, as long as it is a first-party cookie. First-party cookies help websites to collect mainly two types of anonymous information: web analytical data pertaining to your usage of the website and personal preferences that you want a website to remember.  For example. “Welcome back Steve!” is a typical example of how cookies make our life easier when personal preferences have been recorded during previous visits and are now presented to you. The content of a shopping cart is another good example. How tedious would it be to come back to Amazon.com and to have to fill that basket again with all those books you enjoyed to discover and that you wanted to set aside for a later buy?

Web analytical data on the other hand is collected to help website developers to improve the usability of websites. Data pertaining to the first page you visited, the number of pages you viewed, your visit durations, the links that you clicked are just a few examples. All this information is counted, stored in huge databases and put in relationship with each other to provide usability experts and web marketing analysts with insights that help to find out what works best for both you and them.

Marketers are there to ’sell’ things. ‘Selling’ in the context of a website can mean anything from enticing you to to download a PDF, to fill out a form, to send a message and of course, to buy a product. However, when selling fulfills the purpose of providing you with what you are looking for in the first place, collecting the data that makes this easier or rightous possible should be heaven sent. While this may be true for first-party cookies, other types of cookies, so-called ‘third-party cookies’, play the cookie-monster game differentl but more about that in my next blog.

Why organisations better get wise with web analytics - fast!

Recently a webcast presented to the members of the Web Analytics Association (WAA)* presented a forecast of the web analytics market in 2009. More than 600 businesses ranging from 5 to 5000+ employees took part and provided insights into their perception of - and spending intentions for – web analytics** products and services through 2009.

Web analytics - a necessary tool for any organization

While a relatively important percentage of organizations depends directly on the web to generate revenue, there is no exception to the rule that websites find their legitimacy of existence in fulfilling a specific objective such as in the form of providing news, putting people in contact with each other or generating leads. Without a clear objective in mind, maintaining a website becomes a hazardous undertaking at best and counterproductive to an organization’s mission at worst. This is to underline the importance of web analytics not just for ebusinesses, but for any organization that maintains a website: governmental agencies, corporations, non-governmental organizations, charities, foundations and of course,  ebusinesses.

Knowing who is watching you, where they are located, what specifically they are looking at on your website, what path they are taking to get there and how long they stay on your website becomes crucial strategic information to achieve the objectives that your organization is hoping to see fulfilled.

What can we learn from those that use web analytics already?

In this context , it might be interesting to learn what organizations have to say that use web analytics already – from early adopters some six to eight years ago when web analytics were still in their infancy  to companies that have added web intelligence to their portfolio only recently.

the purpose of web analytics

Web analytics to improve website functionality and conversion

In 2008, Over 75% of companies indicated that they used web analytics to improve website functionality in the context of conversion. Conversion is anything from downloading a document to filling out a form or making a sale. Conversion represents the fulfillment of a specific objective that has been defined beforehand and that must be taken into account for the design of web functionality, usability and  visitor path to name just a few.

For example, if your objective would be to collect email addresses from people that are potentially interested in your product or service, you could decide to write a white paper about your industry sector and demonstrate how well your product or service answers existing needs in this industry sector. You would then place a banner on your homepage and send people form that banner to a page that allows you to collect your visitors name and e-mail addresses before they are allowed to download the white paper. The number of downloads of that white paper would be your conversion.

75% of companies indicate that website functionality in the context of conversion optimization is their main purpose of using web analytics. This is to underline how many companies have understood that,  of course,  it is not enough to have a website and hope for the best, but how much more important it is to have a website that achieves goals. Web analytics helps us to better understand how our website attracts and hopefully keeps eyeballs. Turning eyeballs into assets is an integral part of that process when it comes to achieving precise goals. These assets may come in various forms: increased readership, more product inquiries and higher sales volumes.

In my next blog, I will be continuing my analysis of answers to important questions in relationship to web analytics, such as: What type of solutions are available? How much do they cost? How satisfied are users with their solutions? Stay tuned…

* For more information on the Web Analytics Association, please visit: www.webanalyticsassociation.org

** Web analytics include the measurement, collection, analysis and interpretation of online marketing metrics for purposes of understanding and optimizing web site usage.

About the participants of the web analytics survey:

web analytics - survey participants

web analytics - survey participants

web analytics - survey participants

web analytics - survey participants