<?xml version='1.0' encoding='UTF-8'?><rss xmlns:atom='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:georss='http://www.georss.org/georss' version='2.0'><channel><atom:id>tag:blogger.com,1999:blog-9056814579886722722</atom:id><lastBuildDate>Wed, 17 Mar 2010 17:37:32 +0000</lastBuildDate><title>Web Design - The Blog</title><description>This blog covers various aspects of the Web, including design and analytics based on my experience since 1993. I encourage other points of view.</description><link>http://www.rblakeley.com/blog/index.shtml</link><managingEditor>noreply@blogger.com (Robert Blakeley)</managingEditor><generator>Blogger</generator><openSearch:totalResults>11</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-3550038022421139062</guid><pubDate>Wed, 17 Mar 2010 17:36:00 +0000</pubDate><atom:updated>2010-03-17T10:37:32.678-07:00</atom:updated><title>Creating a Variable Definitions Document for Web Analytics</title><atom:summary type='text'>Implementing an analytics program can eventually involve many, many dimensions of data that need to be tracked and involve multiple groups of people. This article outlines how to create a Data Definitions document to help everyone understand what information is available, what the information means, what variable it is kept in, and provides a set of terms and names so everyone has a common </atom:summary><link>http://www.rblakeley.com/blog/2010/03/creating-variable-definitions-document.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>0</thr:total></item><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-6237420555715403377</guid><pubDate>Fri, 26 Feb 2010 20:18:00 +0000</pubDate><atom:updated>2010-02-26T12:22:06.128-08:00</atom:updated><title>What Do You Know?</title><atom:summary type='text'>There are things you know to be true, things that are probably true, that might be true, and those things that you hope are true. Unfortunately we can sometimes confuse them, particularly when ‘selling’ a point; whether that is an idea within our business or in politics.I think there are relatively few things we know to be true. That men walked on the moon is probably true, but I do not </atom:summary><link>http://www.rblakeley.com/blog/2010/02/what-do-you-know.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>0</thr:total></item><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-3124756726611389545</guid><pubDate>Tue, 19 Jan 2010 03:57:00 +0000</pubDate><atom:updated>2010-01-18T20:01:37.044-08:00</atom:updated><category domain='http://www.blogger.com/atom/ns#'>media site metrics</category><category domain='http://www.blogger.com/atom/ns#'>widget metrics</category><category domain='http://www.blogger.com/atom/ns#'>web analysis</category><category domain='http://www.blogger.com/atom/ns#'>omniture</category><category domain='http://www.blogger.com/atom/ns#'>web metrics</category><category domain='http://www.blogger.com/atom/ns#'>web site reporting</category><title>Widget Analytics in Omniture – Part 3 of 3</title><atom:summary type='text'>This is the third part of a three part article about tracking widgets. In part one, “Widget Analytics in Omniture – Part 1 of 3”, I discussed widgets, how they are used by Business, and the metrics used to track business goals. In the second part, “Widget Analytics in Omniture – Part 2 of 3”, I detailed how to implement those metrics in Omniture. In the third part, I will go through how these </atom:summary><link>http://www.rblakeley.com/blog/2010/01/widget-analytics-in-omniture-part-3-of.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>0</thr:total></item><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-8833086113664932048</guid><pubDate>Wed, 23 Dec 2009 19:37:00 +0000</pubDate><atom:updated>2009-12-23T11:39:08.307-08:00</atom:updated><category domain='http://www.blogger.com/atom/ns#'>media site metrics</category><category domain='http://www.blogger.com/atom/ns#'>widget metrics</category><category domain='http://www.blogger.com/atom/ns#'>web analysis</category><category domain='http://www.blogger.com/atom/ns#'>omniture</category><category domain='http://www.blogger.com/atom/ns#'>kpi</category><category domain='http://www.blogger.com/atom/ns#'>web metrics</category><category domain='http://www.blogger.com/atom/ns#'>web site reporting</category><title>Widget Analytics in Omniture – Part 2 of 3</title><atom:summary type='text'>In part one of this article, “Widget Analytics in Omniture – Part 1 of 3”, I discussed widgets, how they are used by Business, and the metrics used to track business goals. In this section will outline how to implement those metrics in Omniture.Widgets are usually  intended to support branding, reach, and acquisition. So widget metrics are for the most part campaign metrics, not much different </atom:summary><link>http://www.rblakeley.com/blog/2009/12/widget-analytics-in-omniture-part-2-of.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>0</thr:total></item><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-787275617133272492</guid><pubDate>Mon, 30 Nov 2009 16:13:00 +0000</pubDate><atom:updated>2009-12-23T11:43:36.672-08:00</atom:updated><category domain='http://www.blogger.com/atom/ns#'>widget metrics</category><category domain='http://www.blogger.com/atom/ns#'>web analysis</category><category domain='http://www.blogger.com/atom/ns#'>omniture</category><category domain='http://www.blogger.com/atom/ns#'>success measures</category><category domain='http://www.blogger.com/atom/ns#'>web metrics</category><category domain='http://www.blogger.com/atom/ns#'>web site reporting</category><title>Widget Analytics in Omniture – Part 1 of 3</title><atom:summary type='text'>Widget metrics are fairly straight forward. Getting the metrics, however, can be a bit more complex, depending on your tools. This is the first part of a three part article that will discuss both widget metrics and how to implement them in Omniture. What’s a Widget?Widgets are primarily used to present content or ads. Many widgets do both by providing content with embedded ads. Sometimes widgets </atom:summary><link>http://www.rblakeley.com/blog/2009/11/widget-analytics-in-omniture-part-1-of.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>0</thr:total></item><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-7608905637655923514</guid><pubDate>Fri, 30 Oct 2009 21:16:00 +0000</pubDate><atom:updated>2009-11-29T16:19:30.024-08:00</atom:updated><category domain='http://www.blogger.com/atom/ns#'>media site metrics</category><category domain='http://www.blogger.com/atom/ns#'>web analysis</category><category domain='http://www.blogger.com/atom/ns#'>kpi</category><category domain='http://www.blogger.com/atom/ns#'>report segmentation</category><category domain='http://www.blogger.com/atom/ns#'>web metrics</category><category domain='http://www.blogger.com/atom/ns#'>metric presentation</category><category domain='http://www.blogger.com/atom/ns#'>web site reporting</category><title>Segmenting Compound Metrics</title><atom:summary type='text'>I recently posted an article about segmenting metrics, including compound metrics. In this post we will see how looking at the components of compound metrics can lead to greater business insights.A typical compound metric is Page Consumption (page views divided by visits). This is a proxy for user interest. Another compound metrics is Repeat Use (visits divided by unique users). This is a proxy </atom:summary><link>http://www.rblakeley.com/blog/2009/10/segmenting-compound-metrics.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>0</thr:total></item><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-4068823736178535624</guid><pubDate>Sun, 11 Oct 2009 22:52:00 +0000</pubDate><atom:updated>2009-11-29T16:17:46.255-08:00</atom:updated><category domain='http://www.blogger.com/atom/ns#'>media site metrics</category><category domain='http://www.blogger.com/atom/ns#'>kpi</category><category domain='http://www.blogger.com/atom/ns#'>report segmentation</category><category domain='http://www.blogger.com/atom/ns#'>web metrics</category><category domain='http://www.blogger.com/atom/ns#'>web site reporting</category><title>Comparative Metrics for Media Sites</title><atom:summary type='text'>If you have been in marketing for any length of time, you know a given number presented in isolation means nothing. For example the answer could be “42”. What does that mean? Is it good or bad? It has meaning only when compared to something. Comparing it to something is the first step in answering the question “What should I do?” For media web sites there are some standard comparisons that can be</atom:summary><link>http://www.rblakeley.com/blog/2009/10/comparative-metrics-for-media-sites.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>2</thr:total></item><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-4356464199156448876</guid><pubDate>Wed, 16 Sep 2009 13:16:00 +0000</pubDate><atom:updated>2009-09-16T07:51:03.827-07:00</atom:updated><category domain='http://www.blogger.com/atom/ns#'>media site metrics</category><category domain='http://www.blogger.com/atom/ns#'>report types</category><category domain='http://www.blogger.com/atom/ns#'>page velocity consumption</category><category domain='http://www.blogger.com/atom/ns#'>kpi</category><category domain='http://www.blogger.com/atom/ns#'>success measures</category><category domain='http://www.blogger.com/atom/ns#'>web metrics</category><category domain='http://www.blogger.com/atom/ns#'>web site reporting</category><title>About PVC: A Key Metric for Media Sites</title><atom:summary type='text'>This article provides an overview of a key conversion metric for a media sites: PVC. It provides a measure of the pages most involved in driving page consumption, whether that is overall consumption or the consumption of specific high value pages. If you are a CMO or report to one, you will care about PVC.Here is what we will cover:What is PVC?How is it related to other metrics? How is it used?</atom:summary><link>http://www.rblakeley.com/blog/2009/09/about-pvc-key-metric-for-media-sites.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>0</thr:total></item><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-5070587645393137374</guid><pubDate>Sun, 09 Aug 2009 14:15:00 +0000</pubDate><atom:updated>2009-08-09T07:18:35.945-07:00</atom:updated><category domain='http://www.blogger.com/atom/ns#'>report types</category><category domain='http://www.blogger.com/atom/ns#'>kpi</category><category domain='http://www.blogger.com/atom/ns#'>dashboards</category><category domain='http://www.blogger.com/atom/ns#'>report segmentation</category><category domain='http://www.blogger.com/atom/ns#'>monitoring reports</category><category domain='http://www.blogger.com/atom/ns#'>web site reporting</category><title>Monitoring Reports and their Attributes</title><atom:summary type='text'>Reports can be generalized into different types. For example there are testing reports, ad-hoc reports, predictive reporting, dashboards, etc. They have different purposes. The most common type of reporting is a monitoring report.Monitoring reports are intended to do just that: monitor. They contain the metrics for your site or product that you look at all the time. This differentiates them from </atom:summary><link>http://www.rblakeley.com/blog/2009/08/monitoring-reports-and-their-attributes.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>0</thr:total></item><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-5304668936323537835</guid><pubDate>Thu, 14 May 2009 00:24:00 +0000</pubDate><atom:updated>2009-08-09T07:26:40.189-07:00</atom:updated><category domain='http://www.blogger.com/atom/ns#'>kpi</category><category domain='http://www.blogger.com/atom/ns#'>success measures</category><category domain='http://www.blogger.com/atom/ns#'>web metrics</category><category domain='http://www.blogger.com/atom/ns#'>web site reporting</category><title>5 Types of Success</title><atom:summary type='text'>Not all success is the same. In deciding on the success measures for a project, one must be aware of what type of success is being considered. There can be a success by one measure while at the same time producing an absolute failure in another dimension. One can have a product of significant interest to users but has poor usability. One can have a product that generates a great deal of activity </atom:summary><link>http://www.rblakeley.com/blog/2009/05/test.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>0</thr:total></item><item><guid isPermaLink='false'>tag:blogger.com,1999:blog-9056814579886722722.post-7847109364503056031</guid><pubDate>Sun, 03 May 2009 02:59:00 +0000</pubDate><atom:updated>2009-05-02T20:12:08.882-07:00</atom:updated><title>Why?</title><atom:summary type='text'>In the long run, it is the discovery of meaning that is the key to personal fulfillment; it is the discovery of purpose that gives a man or woman a reason to want to live. In feeling useful or needed, man finds his happiness - Rabbi Hayim Halevy Donin</atom:summary><link>http://www.rblakeley.com/blog/2009/05/why.shtml</link><author>noreply@blogger.com (Robert Blakeley)</author><thr:total xmlns:thr='http://purl.org/syndication/thread/1.0'>0</thr:total></item></channel></rss>
