So, as time goes by I've found myself drawn to web analytics. I've worked with WebTrends, Omniture, Google Analytics and more.

What I've quickly realized is that while good SEO is important, driving visitors to your site will only accomplish one thing, more visitors to your site.

What's really important is what they do when they get there. Are they the right people? If your website sells snow shovels, attracting a lot of Australian visitors to your website due to some great SEO work is probably not the most effective use of your time.

Web Analytics will allow you to identify that many of the visitors to your site are coming from Australia, and then leaving without buying a single shovel. Darn them! Your site stats show lots of visitors, but a high bounce rate and no additional sales conversions.

I, as a professional, am now moving beyond Web Analytics to Web Intelligence. This is the theory of combining web analytics (what's happening on your website), voice of customer and customer experience management data (why and how), along with business intelligence data (really well defined who).

The "who" factor is critical for sophisticated marketing efforts. If you find that snow shovels actually sell very well to Australian who are 19-25 and have an interest in snow boarding, you can target marketing spend in a much more effective way by using media and message that speaks directly to them.

Web Intelligence, in theory, can link your web analytics to your other sources of data for far deeper insight into who your potential customers are and what they want.

It's not easy, but it's not impossible. It will require the work of web analysts, BI, IT and business stakeholders to make it work. Yes it will also likely require alterations to, or a brand new data warehouse that's linked to your web analytics and your CRM or ERP.

The marketing power you'll obtain will be well worth it though. As I move more into this field and away from SEO, this site will receive less periodic updates. Please follow me though into this emerging field at Web Intelligence Insight - Web Analytics meets Business Intelligence. You can join in on the discussions, learn more about cutting edge web intelligence and see how effective combining data can be.

Thanks for visiting Get Clicked SEO and please join me at Web Intelligence Insight for more posts!

Labels: BI, business intelligence, CRM, customer experience management, ERP, voice of customer, web analytics, web intelligence

Labels: web analytics

It's been a long summer. So much time on the beach, so little time to blog. In any case, I've recently moved more deeply into the realm of Web Analytics. Think of it like Big Brother for the Internet. Someone is watching what you do, and in the case of a big communications company here in Calgary, that someone is me.

Don't worry, it's not as 1984 as it sounds. The website I manage now gets about a billion page views a year, so the I'm not too concerned about individual users. (All kidding aside, the only thing Web Analytics can see about you is your IP address, which can't narrow your location down much below the city level).

If you're looking for some basic information on how to get started with Web Analytics, check out my introductory article here. There's also a good overview look with my Executives Guide to Web Analytics. As I delve deeper into this mysterious world though, I'll share some insights here on my blog.

The one thing about analytics is that if done well, it can help executives make decisions that can have significant impact on the bottom line. My elevator pitch these days is "I help companies improve how their website works, making it easier for consumers to buy from them, thereby making the company way more money".

Tall order? Not as tall as you might think. Most bigger websites aren't tracked all that efficiently. If they are tracked at all, it's all about page views. Yes Mr. President, our website views are up 10%. An astute president will say.. so what, what does that mean to my business?

The reality is that Key Performance Indicators (KPI's) need to be chosen in such a way that REAL decisions can be made from them. What is more useful? How many page views your website got? Or what percentage of your email campaign recipients bought something versus the last campaign? How about if there is a glitch in your order form that is stopping people from buying? Analytics can tell you all these things, and much more but deciding what is useful, actionable information and what isn't will be your key to success.

So how do you choose a good KPI? Work backwards. What are your companies overall revenue and growth projections? How is the website contributing to them? Once you have those questions answered, you can delve into the specific parts of your website and use analytics to determine your best bet for KPI's. There are no perfect KPI's, it's simply a matter of what relates to your company.

Some of the more common advanced KPI's include share of wallet, homepage bounce rate, average depth of visit (how many pages did a visitor look at), revenue per visitor and the list goes on.


I'll post some more experiences soon as I go through the process of identifying qualitative KPI's for the billion page view per year site that I'm working with. Stay tuned for more!

Labels: google analytics, web analytics