Category Archives: Web Analytics

20 Reasons Why DHTML Layers are Bad

A bit of background before I dive in to the post… My team and I are responsible for developing and supporting the Brand web sites for Bristol-Myers Squibb.  The Brand Teams and external Marketing Agencies develop a concept for their site, and they deliver a fully functional version of the site in  HTML to us to implement.  We take that HTML, squeeze it into our custom content management system, and hook up all of our custom features.  This custom content platform that we call LaunchNet has built in registration management, site search, web analytics, SEO helpers, and a full suite of other tools. 

With an environment like this, managing expectations becomes essential.  Sites need to be streamlined for industrial-strength campaigns involving thousands of concurrent users and possibly millions of site users per month.  From this perspective, DHTML layers is one of the banes of development.  I have broken out why DHTML Layers make me lose my hair into 6 categories: Performance, Metrics and Analytics, Accessibility, Implementation, user Experience, and Search & SEO.

Performance

When using DHTML Layers, your users are now loading multiple pages combined into one, some of which they may not even view, wasting download time and bandwidth.  Pages are slower to download, and are slower to draw inside the browser.  Processing is now heavier on client side, and is heavily dependent on JavaScript, which is known to be a memory hog.

Metrics & Analytics

Layers are not pages.  This is a simple fact, but needs to be stated again for emphasis.  Layers are not pages.  This means that anything that is dependent on the construct of a page will break.  Google Analytics tags, which are designed to fire on page load, will need to be re-engineered to fire on layer loads instead of page loads. 

Accessibility

Mobile users on phones, PDAs, tablets, UMPCs, and other lightweight devices with web browsers will have difficulty.  These browsers are slimmed down versions of their bigger brothers, and do not have all the functionality needed to process JavaScript properly.  Cross Browser Compatibility is very difficult to implement and maintain with DHTML Layers.  You cannot bookmark a layer, either, so your users will not be able to come right back to where they were.  Popup blockers may block the use of DHTML layers, as this is a common delivery mechanism for advertising.  And, DHTML Layers could affect your site’s handicap accessibility.

Implementation

Layers on the site increase complexity, and make maintainability more difficult.  If JavaScript is turned off, any functionality to show or hide layers will not work, so your users will not see it.  Developers will need to spend lots of time to make DHTML JavaScript function with content management systems, particularly when custom functionality is delivered in this way.  And, if layers are big enough, scrolling can become an issue, as the layers may run off the page, hiding content from view. 

User Experience

User Experience is the biggest reason to implement DHTML Layers.  It adds slick new interface to the hum-drum of static pages.  But designers need to keep in mind that performance impacts user experience.  This is an “I want it an hour ago” generation, and waiting even 10 seconds for a page to load will mean your users have left and gone somewhere else.  Layers are a not a standard UI convention for web development, and some users may be intimidated by the change in interface.  And, some folks may perceive layers as “popups”, which is bad for perception.

Search & SEO

Implementing site search while using DHTML Layers is very difficult.  Most search products are page based, and as stated before, layers are not pages.  Your content might not get crawled, or may be crawled incorrectly.  Layers could also cause a problem with search engines.  Your page could end up not getting indexed, or not indexed properly.  Invisible content may also be viewed by search engine crawlers as “gaming the system” or a black hat SEO practice, and may negatively impact your page rank.

Conclusion

When implementing, DHTML Layers, think twice about the impact on other aspects of your site.  Ajax can do a lot of the same kinds of things that DHTML Layers can.  Adobe’s Flash and Microsoft’s new Silverlight products can also deliver great new user experiences.  All of these have benefits and drawbacks that need to be weighed before jumping in.  You may be providing a slick new experience to your users, but you may be creating more problems than it is worth.  There are lots of other alternatives to explore.

TouchGraph Google Browser

Pandia reviewed a new tool called TouchGraph Google Browser.  This tool allows you to visualize the connections between sites.  You can read the initial review on the Pandia web site, and you can check out the TouchGraph Google Browser on the TouchGraph site.  The TouchGraph team is a group of interface designers who are exploring better ways to visualize information.  In addition to the TouchGraph Google Browser, they have also developed TouchGraph Amazon Browser and the TouchGraph Facebook Browser using the same visualization technology. 

This has some really interesting implications for Search Engine Optimization, Web Analytics, and Web Site Development.  Optimizing a site to have each of its pages appear in a graph like this could have its site map generated dynamically.  Having a Web Analytics Dashboard where you could click on each of the pages, or series of pages, and view data relationships between them would be very powerful. 

Check it out and let me know what you think. 

The 6 Test Styles of Google Website Optimizer

So I attended the Google Website Optimizer webinar this Tuesday afternoon.   I did not know too much about the feature set of this particular tool, so I thought the webinar would be a good way for me to find out more. 

The class was moderated by ROI Revolution.  They are a Google Analytics Authorized Consultant and AdWords Qualified Company, and offer webinars and training classes for Google products.  You can find more information about them on their web site. 

Essentially, Google Website Optimizer is a tool designed to track results of content changes to your web site before you commit to them.  It works in a similar way to Google Analytics – you tag your pages, your content blocks, your action items, and your goal pages.  Google Website Optimizer will then randomize your content or your page to test it how you choose. 

There are 6 different types of tests that you can use:

  1. A/B Testing – this is essentially a test to determine if one page layout is more effective than another
  2. Multivariate – this tests if different content blocks (copy blocks, headers, images, etc.) are more effective than others
  3. Split Path – this will test if content changes will affect the navigation through your site
  4. Multipage Multivariate – this test will measure if content changes on one page will affect navigation on other pages, and if there are any other cross-page interactions that change
  5. Linger – this test is good for sites that have no clear conversion, and will measure time on the page instead of number of conversions
  6. Anything – an open ended type of test, particularly if your site has multiple conversion points

There was also a brief demo on how you can intertwine Google Website Optimizer, Google Analytics, and Google AdWords to measure how changes in your page affect your AdWords advertising campaigns.

Did anyone else attend the session?  Has anyone used Google Website Optimizer?  Is this a tool that you would think is useful?

Free Google Website Optimizer Demo

I read about this in an article on Kathy Scott’s Unofficial Google Analytics Blog.  This webinar is hosted by ROI Revolution on September 11th at 2pm ET (1pm CT / 12pm MT / 11am PT). 

From their web site:

This 60 Minute Free Webinar on Google Website Optimizer Will Cover:

  • How to overcome the odds — continual website improvements you can do to slingshot past your competition.
  • How to set up a test with Google Website Optimizer in 3 simple steps.
  • 6 tests to run on your site with easy to follow example layouts.
  • Key questions to ask yourself in order to use Google Website Optimizer for valuable improvements.

Special Google Guest: Tom Leung
Tom Leung is Google’s Business Product Manager for Google’s Website Optimizer. He was also a Business Development Manager for Microsoft from 2002 to 2004, and an MBA from Harvard Business School. Don’t miss out on this special opportunity to hear Tom Leung speak live about the Google Website Optimizer tool!

Space is limited.  You can sign up on the ROI Revolution website.  I have.  It’s free.

You can also check out the Google Website Optimizer Beta Tool.

7 Sources that Laugh at SEO and Web Analytics

Everyone needs a little comic relief.  So I have compiled a list of funny Search Engine and Analytics sources here for your amusement.  Take a break and laugh a little.

Plus, here’s a bonus one I found… not really SEO related, but it pokes fun at Google and its search results. 

Do you have any sources of SEO / Search Engine / Web Analytics Humor that I missed?  Post a comment and add it in!

26 Definitions from the Web Analytics Association

A Press Release from The Web Analytics Association announces the delivery of 26 Standard Definitions to Promote Consistency across the Rapidly Evolving Web Analytics Community.  These were released at the much-hyped Search Engine Strategies Conference in San Jose, California.  This is a follow up to their release of their Web Analytics “Big Three” Definitions in 2006, where they standardize the definitions of Unique Visitors, Visits/Sessions, and Page Views.  In their newest edition, the WAA Standards Committee has provided 26 definitions (including the original 3) in 4 different categories – Building Block Terms, Visit Characterization, Content Characterization, and Conversion Metrics.  I recommend downloading the PDF, reading through it, and including this in your library of SEO and Web Analytics documentation.

Gatineau Beta is Open for Applicants

Ian Thomas is a Microsoft employee in their Digital Advertising Solutions group.  He is “responsible for bringing Gatineau to market,” as his blog states.  Gatineau is in essence a Microsoft Competitor to Google Analytics.  Microsoft already has adCenter, just as Google has AdSense and AdWords.  You can read all about his work and his perspectives on web analytics on his blog called Lies, Damn Lies.  I am a frequent reader, and his articles are insightful and informative. 

His recent post announces “Gatineau beta access request form online.”  Now you can go to his online form and request access to Gatineau Beta.  You will need to have an adCenter account.  If you do not, don’t worry – you will be able to register for one as part of the Gatineau Beta, but you will need to pay a $5 one-time fee. 

I have signed up for a beta account, and want to try it out on my blog Pixelated Views.  It will give me lots of great insight as to how it works and what its impact will be on Internet Marketing and Web Analytics. 

The Truth About Organic Search (SEO) and Paid Search (PPC)

In a recent New York Post article, Google claimed that, “its own research shows surfers look toward natural search over paid search by a ration of 4-to-1.”  A recent newsletter by respected SEO company iProspect claims that their research shows, “[60.5 percent] of Internet users found natural search results more relevant than paid search advertisements.”  Either way, surfers, consumers, SEO experts, analysts, and the search engines themselves have demonstrated that Organic Search is more effective than Paid Search. 

All of this research would seem to indicate the downfall of Google, as this is their primary source of revenue.  Google is not in trouble.  A balanced approach to Search Engine Marketing is necessary for a healthy site, and I will show you why.

The Differences

To understand the difference between organic and paid search, read this great article by Adido Solutions, and this article by eWhisper.  They show you how to tell the difference on Google’s Search Engine Results Page, define what each of them are, and outline their advantages and disadvantages.  This article by iMedia Connection outlines the financial implications based on results. 

The long and the short of it is that SEO costs less, takes lots longer to work, and is less predictable.  PPC costs lots more, can start working for you in a very short amount of time, and has much more predictable results.

The Similarities

These articles do a great job of outlining the difference between SEO and PPC.  What they fail to do is show you the similarities between the two. 

Both advertising methods do just that – they advertise for you.  Whatever you want to advertise, whether it be web site or storefront, SEO and PPC advertise for you on the Internet.  They complement each other – where one drops off, the other picks up.  The big problem is that they both appear on the same page.  Why should I pay for both when they could appear together?

The Blended Approach

The key is to allow SEO and PPC to live together in harmony, as this article describes.  At the outset, your site has no search engine rankings.  The easiest way to drive traffic to your site is through paid advertising.  This is when you will lean on PPC the most. 

As your site matures, SEO will slowly improve, and so will your page rankings. Social Media and the PPC you bought will help your site along, and soon you will be listed highly in the Search Engine Results Pages.  Now you have momentum, and don’t need to depend on your PPC advertising as much.  You can decrease your PPC budget, and use it in other places of your company. 

Studies have shown, however, that if you are tops on organic search and tops on paid search, they work together and increase your traffic even higher.  This is for groups who have the ability to sustain a large online advertising budget.  Together, organic and paid search will push your traffic higher than ever before.  

10 Web Analytics Resources You Can’t Live Without

Avinash Kaushik recently posted an article listing the Top Ten Web Analytics Blogs for 2007.  His selection method, based on Technorati and Feedburner rankings, received a lot of heat (don’t mind the pun) across the analytics blogosphere.  Turns, out there is a bit of overlap between Avinash’s list and my own anyway.  I thought it might be interesting to post my own personal list of Web Analytics Resources, including the web sites and the related blogs.   

  • The Official Google Analytics Blog – URL and Feed
  • Web Analytics Association – URL and Feed
  • WebConfs SEO Toolset – URL and Feed
  • Occam’s Razor by Avinash Kaushik – URL and Feed
  • Web Analytics Demystified – URL and Feed
  • Web Metrics Guru – URL and Feed
  • Web Analytics World – URL and Feed
  • Lies, Damn Lies – URL and Feed

Two books on the bookshelf are:

 Are there any that I missed that are your favorites?

Week in review – SEO and Web Analytics Blog Posts

Search Engine Optimization articles

Search Engine Optimization Pricing – This is an article that details the SEO pricing model for SEOMoz, a premiere SEO company in Seattle. This will give you a good idea if you are paying too much or too little. However, it will still be up to you to decide if you are getting what you are paying for.

A Complete Glossary of Essential SEO Jargon – Simple enough. This is one you should permanently bookmark. Learn how to talk the talk, so you sound like you know what you are talking about. There are about 130 Search Engine Optimization terms for you to learn.

Web Analytics articles

Google Analytics Artistes – This article outlines a great 6 week online Google Analytics training course offered up by ROI Revolution, and Google Analytics Authorized Consultant.

Google is not moving – Some statistics on the volume of searches. Looks like Google is widening the gap between itself and the other top search engines – Yahoo, MSN, and AOL.

Top Ten Web Analytics Blogs: July 2007 – Every year, Avinash Kaushik evaluates the universe of Web Analytics blogs, and ranks them according to their FeedBurner and Technorati subscribers. He has listed the Top 10 Web Analytics Blogs, and listed his personal top three. Definitely add these to your RSS reader.

The Problem with Free Analytics – July 2007 – There were a series of articles this week discussing the Fee vs. Free study, and the attitudes of Web Analytics:

The general argument is that if you standardize on free tools, you are under-investing in Web Analytics. The results draw a correlation between the amount of money spent on web analytics tools, and money spent on anything else you will need to make your sites (or your business) successful. These articles make point and counterpoint, and make for some good reading.