Hosam Elkhodary, President of The Web Analytics Company and a very close friend of mine, passed away yesterday as a result of a severe heart condition.

Having seen Hosam just last week at the eMetrics conference in Toronto, Ontario, Canada this news came as a huge shock to me today.

Beyond helping me personally in my career, Hosam was arguably the most influencial and important person in Canada for web analytics.  Few people were often aware of Hosam’s efforts, but he was often known for being subtle.

Beyond helping numerous companies in Canada build their web analytics infrastructure (Rogers Media, Loblaw Companies Limited, Mazda, and so on), Hosam was also very actively involved in the Web Analytics Association and taught courses at the University of British Columbia.  Hosam also mentored a great deal of us.

Had it not been for Hosam, I would not have the career I do today nor my understanding and passion for web analytics.

Hosam leaves behind a wife, daughter studying at the American University in Cairo, and a son attending high school in Ajax, On.

Hosam’s funeral services will be held at 2pm on Friday Apr 10th at the Islamic Foundation of Toronto (Nugget Mosque).  The address is 441 Nugget Ave, Scarborough (map below).  I understand that all are welcome.  The family is leaving that evening for Egypt.

You will be very missed Hosam.

If you haven’t heard of Quantcast yet then I strongly recommend you check it out.  Quantcast (as well as Google Trends) are looking to give companies like comScore and Neilsen a run for their money.

A long standing problem in the Canadian marketplace has been the difficulty of finding viable alternatives to comScore.  By all means, comScore isn’t some evil corporation but there are a few major problems with it:

1. They cost way too much
2. Their panel is biased which means…
3. Their data is often inaccurate

It’s a situation found often in Canada because we just don’t have the population to support the marketplace needed for real competition in some of these industries.  Luckily though, companies like Google and Quantcast are changing all that.

Three reasons the Canadian Media Industry should  push to adopt Quantcast

Before I dip into the “big three” I’ll warn that Quantcast’s panel is composed completely of US citizens. Before Canadians take the big Quantcast plunge, I’d urge that we ask Quantcast to look into panels that are composed of Canadian-only audiences - I know the big media companies would really support this kind of move.

Reason 1: It’s Free!

I think it’s kind of enough said here.

Reason 2: Far better data model and more accurate than comScore

Quantcast’s data collection model combines both that pesky panel-based data as well as JavaScript-tag based data (like the stuff collected by Google Analytics, Omniture, WebTrends or Coremetrics). Using some pretty sophisticated mathematical techniques, Quantcast is actually able to combine these two data sets to improve on the weaknesses inherit in both.

• Panel-based data sucks because it represents only a sample of your audience and it could be a poor sample at that.  So including JavaScript-tag based data helps out because it’s an actual measure of who visited your site and what they looked at.
• JavaScript-tag based data sucks because it’s fundamental tracking method for unique visitors is based on cookies.  Cookies can be deleted, toyed with and duplicated when the same person uses two different computers or two different browsers on the same computer.  So including some panel-based data is great where a metric like “unique visitors” corresponds to actual “people” in the sample, not just cookies.

Reason 3: Quantcast provides the tools that Media buyers need

Recently released (and very much needed), Quantcast has released a Media Planner tool on their site specifically designed for ad agencies.  This is a critical feature that they’ve been needing and I’m so happy to see they’ve taken this step.

After all, our media industry moving towards a new measurement standard isn’t much good if all of our advertisers and their agencies are still tied to the old one.  If we’re going to switch to Quantcast or a similar tool, we need the backing of the Interactive Advertising Bureau (IAB) and I can’t see those guys giving a blessing to any tool that doesn’t support some kind of a media planning tool.

I would be more than happy to work with any of the media companies in Canada to support Quantcast and look into opportunities to support their growth in Canada.  Just send me an e-mail or post a comment if you are interested!

Recently I’ve had to do a few sessions at work for our editorial teams around measures for content effectiveness and I thought I’d share the basic idea from those sessions.

Why care so much about content?

Well if you’re in the media business you’re already well aware that content is king!

I like to think about it by comparing media or content driven sites to an e-commerce site. On an e-commerce site, your products or services are the most fundamental pieces of content on your site, 9 times out of 10 (warning: completely fictitious statistic) that’s the reason why people even showed up in the first place.

Similarly, on media or content-driven sites, the articles, videos or audio streams provided are the most fundamental and most important pieces of information on a website.  Without interesting, engaging content what incentive do you provide your visitors to even come to your site in the first place?

Why then do many of us in the media or content-driven industry measure content effectiveness strictly by considering only page views?

The need for better metrics

Don’t get me wrong page views for any given media site are crucial, as a matter of fact due to the revenue models (see my posts on net present value as well as important metrics for media sites overall) that come with traditional media sites,  page views is one of the most important metrics.

But when you really dissect exactly what a page view is as a metric, it really isn’t sexy at all.  A page view simply tells us that a page did in fact load, that’s it.  I have no idea if you liked what you saw, read it, told a dozen friends about it, came to it by accident, visited 15 more pages afterwards, found it fascinating enough to discuss it…you can see where I’m going with this.

I like to think of page views at a wonderful proxy metric, if everything goes right then yes we absolutely would expect to see eventual increases in overall page views.  What page views fail to provide us with however is what I’ll refer to as measures of content potential.  Page views give us a bit of a measure for what is working, but fail to let us know what will work or even why something worked.

Measures of Content Engagement & Potential

So what are the deeper measures we require to really understand content potential?  To start, how about we look at a current leader in online media, USA Today.

As an example let’s take a look at one specific article.

Why did I pick USA Today? Because of the pretty enhanced number of story tools that they have.  Let’s break it down.

Commenting

USA Today encourages its users to comment on their articles.  Why is commenting important to measuring content effectiveness?  Ever heard the phrase, “there’s no such thing as bad press?”  That pretty well sums up my feelings on commenting.

Discussions surrounding content, whether they’re positive or negative indicates a keen interest of a group of people visiting your website.  Understanding both the number of comments on any specific piece of content (or groups of those pieces) receives as well as the average number of comments per piece of content is critical to understanding overall site performance.

An experiment I’d love to be able to run is one where you toy with a content comment velocity threshold. When a given piece of content receives a number of comments (x) over a certain amount of time (y) a content management system (working in tandem with a web analytics tool) automatically identifies this as “hot” content. What action is taken? Perhaps the system automatically starts to place the piece of content in an “up and coming” content widget that’s placed on pages. Perhaps the story is automatically featured on a homepage and content vertical page.  Perhaps the system integrates some user segmentation to align this story with other users that have commented on similar stories.  The possibilities are endless (well almost)!

Finally, at a more fundamental level, commenting leverages the interactive power of the Internet.  Most other media distribution channels are one-way.  I send you my message and you take it whether you like it or not.  Obviously in the online world we can actually have a conversation with our audience.

Taking the time to actually analyze the content of comments on popular or “hot” articles themselves provides invaluable insights.  Many times editorial staff is able to analyze the content of these comments to gain ideas for future editorial segments on the site.  While this shouldn’t be taken to an extreme and brands should always retain some editorial control (just because people want more Britney Spears doesn’t mean the New York Times should be doing homepage featurettes everyday), there’s nothing wrong with having a tool that essentially becomes an idea generator for future stories.

As a quick example, what if on a news article relating to the upcoming US presidential election, a few comments stated they were curious about an aspect of Barrack Obama’s childhood and remembered reading something on the subject but had since forgotten.  This is a perfect opportunity for the editorial staff to respond in real time to the visitor’s request by generating content or linking to existing content that answers the query as well as posting a response on that article for others to see.

Rating

E-commerce sites were (I believe) the first sites to pick up on the cue that allowing their audience tell you what they like and don’t like was a good thing.  I feel that many online businesses underestimate the power of rating and its importance, particularly for media sites (though many are picking up the trend now).

Having a rating widget on every page of your website is essentially an informal user survey on every piece of content you offer.  It’s a friendly way of asking, “Hi there! What did you think about what you just read?  Could we do better?”  Rating widgets on media sites similarly to e-commerce websites will become what arguably is the most important metric as a general rating of editorial quality. 

Keeping in line with the idea of this post, for a media site, our product is information don’t we want to have some idea of how good or bad our product is?

One more thought on the rating front, rating doesn’t always have to be as boring as a little rating box that allows users to rate a piece of content out of 5.  What about tailoring the rating engines on web sites to match the actual content there?

If I’m writing a politically charged blog / website why don’t I have separate ratings for the Most Liberal/Democratic and Most Conservative/Republican articles? If I have a comedy site why not the Most Slapstick, Most Ironic or Most Anecdotal?  There are a lot of possibilities here but you’ll need to think through two things first:

1. How do your users want their content organized?
2. How does your business want to rate their editorial content?

Sharing

Sharing a piece of content whether it be via a social bookmarking site (like Digg, del.icio.us or Newsvine) or via an e-mail send to a friend feature is also an important measure for a media site.

These features are indications both of engagement with content as well as potential audience growth.  If an article I just read had me so interested/disgusted/outraged/happy that I decided to send it to a few friends of mine, those are a few more people that could potentially become loyal readers afterward.

Helpful hint: When adding an e-mail / send to a friend feature on your website make sure to tag the links in those e-mails that go back to your site so you can evaluate this source of traffic.

Saving

A new feature on some websites being able to save your content to a sort of favourites list is on it’s surface a great idea.  Users save their favourite articles and can even share these articles with friends encouraging greater engagement and loyalty from your audience.

Hang on a second though this sounds a lot like social bookmarking!

(As a quick side not here I absolutely love the guys at Common Craft, very simple idea for a web site that has always helped me when I’ve needed to explain tricky things to executives who may not be so web savvy).

My point with pointing out the analogy is along the lines of “stick to what you’re good at”.  If entire sites are being created that are devoted to this concept, chances are they are 1) probably better at it than you are and 2) have way more resources to devote to improving upon them.  Unless you have a pretty serious business reason to invest in this functionality, I’d say don’t worry about it.

Printing

If you’re anything like me then for any article you’ve read online that you found genuinely fascinating you can’t be bothered to sit in front of your computer and scroll page-by-page.  Instead, you need to print it off, read it a bit to get used to it.  Perhaps you post it on your cubicle/home office cork board and refer to it from time to time.

Granted, most of that engagement with that content is now taking place offline and we’ll never know that it occurred, but what we do know is you found that content interesting enough to print it so you could take it with you and that’s important.

Warning: No web analytics tool will actually be able to tell you if someone successfully printed an article, the best you can get is that a tool can tell you how many times people opened up their print dialog box (Ctrl+P or Control+P for Mac users).

The “New” Top Content Report

So what does all of the above mean? The old “Top Content” report that we have is dead!  We need something better!  My personal suggestion?

Check here

I’m a big fan of the views that Google Analytics supports the number of times they’ve helped me in doing some quick analysis are countless.  In an ideal world, I’d take all four of these views (not just the two shown in my report) and simply add the additional metrics I’ve discussed above.

I’d love to know what people think about this so please feel free to provide some feedback.

Related Posts

• Web Analytics and Optimization for Content Sites
• Web Analytics and Net Present Value - Part 1
• Tips on Visually Measuring Your Traffic Sources

But from many that I’ve spoken to, their traffic sources report usually doesn’t look much different than this:

Then if you’re really lucky you get a slick visual summary of that data in the form of a pie chart!

I’ve got no problem with either of the two ways of displaying data - they both serve to summarize data very well. I’ve only got one question…

Where are my insights!?

The observations I can make from the information above:

• Looks like a lot of our traffic comes from some other site
• Some people come directly
• Not many from search engines

But the questions I’m left with:

• What do they do from these sources?
• What about paid versus organic search?
• What about RSS feeds / e-mail / affiliates? Can’t I see these separately?
• And a whole lot more!

The point is, the presentation of the information above probably creates more questions than answers. But there is a solution!

Here are some useful tips I’ve found for really getting insight out of your traffic sources reporting:

1. Decide on your sources

Your organization is likely complex with a lot of different things going on. You may have e-newsletters, e-blasts, Facebook applications, RSS feeds and who knows what else! All of these efforts may be bringing significant traffic to your website but you may not know.
Talk to people in your organization (marketing is a good start) and try to get a list of all the on-going efforts right now that potentially drive traffic to your site. Try to group all of these efforts into 7-8 main groups. Anything more than that begins to get a bit too detailed and prohibits you from seeing the forest from the trees.
For example you may have:

1. Direct Traffic
2. E-mail (Newsletters, eBlasts)
3. RSS / Atom Feeds
4. Paid Referrals (aka Content Alliances)
5. Non-Paid Referrals (all referrals that you didn’t pay for)
6. Paid Search
7. Organic Search

Make sure that for each group you define the group well so that everyone is on the same page about what’s being included where.

2. Set up tracking on your sources

Now that you know what you want to measure you’ll likely need to put a bit of effort into getting things tagged.
For most analytics tools, tracking these sources independently is as simple as adding a little tag to links in each of these sources so that the tool can identify it.

For example, in my RSS feed, all links have Google Analytics tracking codes

The text that’s underlined above tells Google Analytics, “Hey! This visitor came from the RSS feed so group them in there!”

You’ll have to work with your analytics vendor to know what parameters you’ll have to use, but the method should be similar.

3. Report and find those insights!

Now that you’ve got all that awesome data pulled into your favourite web analytics tool you need a concise way to report on it so that those insights just scream out at anyone looking.

Here’s the most important nugget (in my humble opinion) of this entire article. This is all based on experience, but after a few times of people throwing my reports in the trash, I found what worked for them!

Let’s take a look at the structure of the report first. As you can see from the two biggest headings the only two things I’m really trying to keep track of with this dashboard are:

1. Traffic Quantity and
2. Traffic Quality

Basically all I want to know is:

1. Am I getting traffic and if so, what source do I have to thank for it?
2. Of my ways to improve traffic, which are the most profitable for me?

With that being the “big picture” let’s drill into a few of these graphs.

Am I getting traffic? And if so, who do I thank?

I love these staked bar graphs, I think of them as a time-series pie graph. I can quickly tell if traffic has been increasing or decreasing from month to month and within seconds I know exactly who I have to thank.

While this is great, I still don’t have any idea if the quality of traffic from these sources was any good. Did they convert? Did they bounce? Did they puke?

Which of my sources are providing the highest quality traffic?

My absolute all time most favourite (that’s right favourite - I’m Canadian eh?) graph. What I’m looking at here is

• Pageviews per Visit along the horizontal axis
• Bounce rate along the vertical axis and
• Visits determine the overall bubble size

Now I’ve chosen Pageviews per Visit and Bounce Rate here because those are the three metrics that currently provide the best indicator of traffic quality. If you were an e-commerce or lead generation site you may graph Bounce Rate along the vertical and Conversion Rate along the horizontal.

Generally I like to ensure the bubble size is still related to a traffic quantity metric like visits or unique visitors. This is simply to ensure you don’t spend a lot of time optimizing a high quality source that can only bring in 1% of your overall site traffic.

This second graph may require a bit of explanation. Essentially the optimal goal of analyzing your marketing sources (or traffic sources) is to understand return on investment.

So to understand ROI, we need to know our cost per visit and revenue per visit by source. You can literally devote a whole blog post to understanding how to calculate cost per visit and revenue per visit for different websites.

For my blog, my value equations are pretty simple:

Revenue per Visit = (Pageviews per Visit x Ads per Pageview) / 1000 x CPM

Cost per Visit = $0! (The costs in the chart above are added just to illustrate what it could look like - actually the revenue numbers are fake too :))

(In case you’re wondering CPM is available for AdSense customers but is listed as eCPM as Google doesn’t actually provide publishers with any money for the number of impressions they provide.)

When I spoke at eMetrics a lot of people asked me how they can get through to their boss or senior executives about web analytics. If you really want to connect with them, stop talking about web analytics, talk about what’s on their mind - revenues and costs!

4. Go ask for that raise!

Now that you’ve given your marketing team and organization the tools they need to properly understand where to allocate their budgets for maximum profitability, head up to your favourite HIPPO and ask for a raise!

I’d love to hear from you! What are your thoughts on this dashboard? What’s missing? What would you add?

No use of KPIs or anything that really lets you know how the blog is performing.

Well I’m slowly but surely aiming to change all that.

Please take a look at this blog’s new and improved dashboard!

The KPIs that I’ve selected are largely based on a previous post relating to the most important metrics for content-based sites. I’ve also made the dashboard downloadable in Excel if you’d like to compare it to your own results (not to mention adding a few slick sparklines for basic metrics ).

My reasons for producing this dashboard are really two fold:

1. Help other fellow bloggers with relative metrics in order for them to know if their performance is “good” or “not so good”
2. Provide a demonstration of the power of storing your KPI information in a relational databaseOn that second note, all the data you see in the dashboard is stored within a database on my web server. The benefit of this of course is that I’m able to pull from this datasource anywhere I want! The web-based dashboard you see is only one incarnation, I also am pulling this information into an Excel spreadsheet I plan to publish soon.

Thoughts and opinions are always welcome!

Here’s a short shpeel on what the conference is and why I personally think you should be signing up.

What is the eMetrics Summit?

The eMetrics summit is the location to learn more about web analytics and really - how to use online data to improve your website for your visitors or customers. Learn about the terminology, the tools, the best practices and the pitfalls to avoid from industry gurus as well as people just like you!

Who should attend the eMetrics Summit?

Basically anyone who interacts with and is responsible for a portion of the online channel. Whether you manage content, usability, paid search marketing, e-mail marketing or your entire website - this conference is for you.

Why should I attend the eMetrics Summit?

You mean besides the fact that yours truly will be speaking?

To be honest, the only summit I’ve attended as of yet was last year’s in Washington D.C. but I’ll go on record saying if you have the budget for only one conference all year, make it eMetrics.

Knowledge

The knowledge you end up with at the end of the day can honestly almost make you dizzy (in a good way!).

I came back from Washington with presentations to share with many people in the organization. In fact, I recall that within Rogers, eMetrics filled me with info to share with: executives, paid search marketers, content creation and management folk, our business analysts and even our finance guys!

What I’m trying to say is that the conference isn’t just about web analytics, it’s about online optimization.

Contacts

The people you’ll meet and connections you come away with are incredible after an eMetrics summit. Here are a few people I’m happy to say I’ve now had the pleasure to correspond with (some on a fairly often basis!):

• Eric T. Peterson - CEO - Web Analytics Demystified
• Avinash Kaushik - Author / Blogger /Analytics Evangelist, Google
• Brett Crosby - Senior Manager Google Analytics, Google
• Rachel Scotto - Executive Director, Sony Pictures Entertainment
• June Li - Managing Director, ClickInsight
• Eric J. Hansen - President, SiteSpect
• Braden Hoeppner - Director Web Sales, Coastal Contacts Inc.
• and more!

Just think about it - the people at eMetrics are literally the brightest in the industry and you’ll meet all of them, share your stories and at the end of the day, have a new buddy to call on!

Where is the eMetrics Summit?

The eMetrics summit is actually in a number of cities: Toronto, London, San Francisco, Washington D.C., Stockholm and Munchen! Check out the website for more info. Right now, I’ll be most concerned with Toronto :).

Toronto Marriot Downtown Eaton Centre Hotel

525 Bay Street

Toronto, ON, Canada

M5G 2L2

When is the eMetrics Summit?

The Toronto summit is March 31 - April 2, 2008 but the early bird registration date (save $200) is
March 9!

Booked that ticket yet?

What are you waiting for!? Book your ticket and flight if you need to and make sure you’re there!

If you have any questions at all please feel free to contact me at mike.sukmanowsky@oddinteractive.com.

Say a company like Ford was evaluating the purchase of a major piece of machinery that was expected to increase plant efficiencies. These efficiencies resulted in the plant being able to produce x more number of cars per day.

There’s no way executives at Ford would approve the purchase without their finance department performing some analysis.

Specifically, at a bare minimum I’m sure executives would want to know the project’s net present value (NPV), payback period (PP) and return on investment (ROI).

None of the above calculations are difficult (in fact, a few seconds in Excel produces the results!), the work all lays in the underlying assumptions that feed the simple formulas.

For most web firms however ROI is often the only metric ever discussed (and often only at a very high level). It isn’t that NPV or PP is impossible to calculate for web-based projects, but the analysis can be slightly more difficult. Often the difficulty is only rooted in the fact that many people don’t understand the relationships between revenues and costs behind online businesses.

I’ve taken a stab at writing a business case that demonstrates how to use web analytics to evaluate a project’s net present value. Please check out the following two files and let me know what you think!

Download the business case and the background!	Download the NPV analysis and the answer!

Jim has posted a survey and is attempting to find out which channels marketers and analysts are measuring as well as how they plan to use the data for optimization. As this information is being collected by the WAA Chairman, you can bet that it’ll be used for good! I’d even expect seeing the WAA using the data collected to optimize their offerings to members in 2008!

I’ve personally taken the survey and it used all of maybe 2 minutes of my time.

Click here to take the 2 minute survey!

My SEO expert colleague Nima Asar Haghighi (check out his blog) and I have been trying to determine what are the Key Performance Indicators for measuring Search Engine Optimization and here’s what we’ve come up with:

Percentage Change in Visits/Visitors from Organic Search

Although probably the most obvious indicator, this metric is by far the most important. After all, if your SEO efforts didn’t permanently end up in an increase in the number of visits or unique visitors (depending on your analytics tool’s abilities) then those efforts weren’t worth all that much!

Percentage Change in Number of Organic Search Keywords

By measuring the percentage increase in the total number of organic search keywords to your website, your essentially evaluating if your SEO efforts resulted in search engines assigning a broader set of keywords to your content. The benefit of this? A broader set of keywords means your visitors have to be less precise when trying to find your site and what you offer.

This is actually a good time to re-examine the concept of the long tail again for those who are unfamiliar as this metric and ones to follow measure the effectiveness of lengthening the long tail.

The long tail in our case, measures those many, many, many organic search keywords that drive a fairly low number of visits or unique visitors to your site. This is a pattern that happens naturally as for most sites, the keywords that really drive traffic to your site are branded, outside of those though there are a number that drive traffic with many variations. Consider the article I have on installing Google Analytics. Google and Yahoo both drive a fair number of visits to this page, but take a look at the many subtleties in terms of the keywords visitors use to access the same content:

• google analytics install
• google analytics installation
• installing google analytics
• google analytics cross domain
• google analytics multiple domains
• and so on and so on…

Each of those keywords above didn’t drive much traffic, but they make up that long tail which is vitally important! Why? Because SEO isn’t about optimizing for the keywords visitors already identify with your brand, SEO is about optimizing for keywords that visitors didn’t even know related to your site.

Now that we’ve all got why optimizing the long tail is important, let’s move on!

Percentage Change in the Number of Entry Pages

Similar to an increase in the number of organic search keywords, with an increase in the number of entry pages we’re looking at long tail success again.

Specifically with this metric we’re trying to determine, “How effective have we been at opening up our entire site to the world?” Assuming you’ve optimized your site correctly, you should be seeing a significant increase in the number of entry pages as search engines begin including more and more pages into their indexes.

Percentage Change in the Number of Brand Keywords

Similar to both of the above metrics, the objective of this one is to ensure that new keywords you associate with your brand (or just your introductory brand keywords if it’s a new business starting out) are being associated with your site.

When Nike launches a new men’s fitness shoe for example on their site I’m sure (or actually I hope) that they ensure to perform some optimization techniques in hopes that the name of the new shoe for example begins showing when visitors begin search for the product by name.

As Nima would say, you’re measuring “building brand through the long tail”.

Bringing it all together…

Finally bringing it all together, a very simple dashboard report might look something like the table below.

The last note I’ll speak to here is that we’ve done a good job of picking a few metrics that allow us to measure our success in driving traffic to the site organically but what we’re not measuring is what that traffic does!

While Google may be able to drive traffic to your website, the traffic isn’t worth anything to you if they: bounce / never generate leads / never purchase a product / never tell a friend / never [ Insert your conversion event here ].

I’ve chosen to steer clear of mentioning this only because if you’re strictly evaluating SEO, you’re evaluating how your efforts have paid off in driving traffic to your site. After that, it’s the site’s job to give your visitors a reason to stick around which is really a separate topic altogether (optimization!).

In any case, I hope that helps at least some of you with understanding what to measure before heading into a costly SEO implementation. Happy optimizing!

Footnote! Recently read an additional article on KPIs of SEO that you should definitely have a peek at, a few new ones that you can choose to add to your SEO dashboard!

http://www.netconcepts.com/natural-search-kpis/

1. Video Analytics: as more media sites turn to this medium as a fundamental way to increase revenue by delivering higher CPM ad impressions via pre-rolls; companies will need to know which videos are working, which aren’t and how visitors are interacting. Keep a very close eye for Omniture, Coremetrics or WebTrends making an acquisition of Visible Measures - a company specializing in measuring internet video (and doing some very cool things in this area), even in its distributed form (i.e. embedding YouTube videos). Companies have made inroads here, but Visible Measures is really taking it to the next level.
   Check out a great demo put on by Matt Cutler (VP, Marketing) of their software: http://www.demo.com/demonstrators/demo2008/124778.html
2. Web Analytics Job Market Explosion: the industry is mature enough and there are plenty of people getting their feet wet with analytics that more and more organizations will begin justifying full-time resources for analytics. I expect most organizations (as to be expected) will start small with one analyst (or analytics specialist) and once the model has been proven, blow out resources accordingly to the size of cross-functional departments (see Avinash’s book on centralized decentralization).
3. Vendor Consolidation: Omniture certainly had quite the year for this in 2007 but I think we’ll see this continue with the other vendors. As free tools like Google Analytics and Microsoft Gatineau become more and more sophisticated the enterprise level vendors will have to have a diverse feature set available to sweeten the offering. In some ways Google Analytics actually has a more thought out feature set and interface. I’ll commend Google’s team till I’m blue in the face for having an interface that I truly believe to assist in making analysis easy and data actionable as well as the technical foresight I’ve seen with their event tracking model. If you haven’t read up on it yet I strongly suggest it!
   Innovations like these are precisely what keeps a warm burner under the bums of enterprise vendors to step up their game and differentiate their product offering.
4. Quality Assurance: for awhile now I’ve always been amazed that companies don’t have analytics QA built into their processes and that analytics vendors don’t push this phase as part of their implementation process. At last year’s eMetrics summit in Washington D.C., a company called Maxamine made significant inroads by showcasing a tool that can be used to validate your entire analytics install. Watchfire also offers a similar service and I wouldn’t be surprised to see them making a trip out to eMetrics in Toronto!
5. Bye bye Licenses Hello ASPs: As more and more organizations bang their head against the wall and come to the realization that the ownership of web analytics really doesn’t belong in IT, people will start whispering the words “ASP”. Clearly this is going to only really going to affect one of the “big three” vendors but it’s a way that more and more companies will go, why? Because businesses want intelligent insights, not reports. Screaming at your IT professionals to ensure that a top pages report is being produced everyday is not making the most of a web analytics investment.

Thoughts and opinions are always welcome!

What do you think will be the top things to expect in web analytics in 2008?