A Billion Facebook Impressions: Lessons Learned from Rosetta Stone – Webinar

Thursday, February 24, 2011 11am PST/2pm EST

You will learn how to:

Integrate a strategy for Facebook management, including online and offline channels
Increase conversion rates
Lower the cost of fan acquisition and sales
Manage and measure marketing channels across your organization
Parlez-vous social? Hear what this global language-learning giant has to say.

Featured Speakers

Justin Kistner, Senior Marketing Manager Webtrends Eric Ludwig,Senior Director of Online Marketing, Rosetta Stone

Understanding Google Analytics: Setup Best Practices – Webinar

Wondering if your data is accurate? From cross-domain/sub-domain issues to profile configuration errors, to poor filters and goals, mistakes can plague every corner of the analytics setup process.

On March 2nd, join us for a half hour webinar on Google Analytics Setup best practices, designed to assure that you’re not just collecting data, but that you’re collecting the right data. Topics include:

– Account setup
– Code implementation
– Creating better goals
– Effective profiles and filters
– Cross domain issues
– and more…

It’s free, so sign up now.

via GoToWebinar : Webinars Made Easy. Award-Winning Web Casting & Online Seminar Hosting Software.

Post-Click Optimization for Higher Online Marketing ROI Webinar

Post-Click Optimization for Higher Online Marketing ROI

Free Live Webinar – Wednesday, February 23, 2011 – 2:00 p.m. ET / 11:00 a.m PT

You need to make a strong impression on prospects from the first moment they click on a link and land in the top of your online marketing funnel. Companies that harness the power of post-click optimization can achieve up to 20% lift in their online marketing ROI—and that can mean a huge competitive advantage.

See what leading organizations are doing to make their media spend more effective, lower their cost per acquisition and improve their results from email, paid search, social and display programs.

In this fast-paced executive briefing you will:

  • Gain an understanding of the dramatic ROI boost post-click marketing can provide for your marketing department
  • Dive into the strategies, processes, resources and tactics needed to launch post-click optimization without disrupting your current programs
  • Review real-world post-click examples from leading companies like DHL, American Greetings and many more

The web is gaining an increasingly large share of the marketing landscape and post-click marketing is the key to more efficient online media spend, better results and significant cost savings. Don’t miss this webinar to jump start your organization’s post-click program.

via Event Registration (EVENT: 280295).

Hits, Page Views, Visitors and Visits Defined

This article is an introductory level and the intention of this article is to clarify few terms that you constantly hear in Web Analytics. Why am I writing this article? I hear some confusion about these terms from people new to field, so I thought I will write this blog post to clarify some of the common terms.

I am going to explain, Hits, Page Views, Visitors and Visits in this blog post.


Back in the early Internet days, Hits was a term commonly used to measure websites traffic. This term was mainly used by IT folks, early users of web analytics tools, to get an idea of the load on the server. As Web Analytics has moved into marketing and we have move to JavaScript based solutions, this term does not hold much meaning today as terms such as Page Views, Visits and Visitors have taken over.

So what is a Hit anyway? Let’s take an example of a simple web page shown below

This page is an html file with one image embedded in it.

When a person browses to this page (in her internet browser), she is requesting this page from the server to be downloaded to her internet browser. She views this page as one entity. In return browser is actually requesting 2 items from the server

  1. The actual HTML page
  2. The image embedded in it

When server returns these items, the browser assembles them and makes them look like one page to the person browsing this page.

This is what the log file of the server might look like (I have removed several items to make it simple) – – [16/Jun/2007:11:17:55 -0400] “GET /samplepage.html HTTP/1.1” 200 3225 “http://www.anilbatra.com/” “Mozilla/5.0 (Windows; U; Windows NT XP; en-US; rv: Gecko/20070914 Firefox/” – [16/Jun/2007:11:17:55 -0400] “GET /batman.jpg HTTP/1.1” 200 3225 “http://www.anilbatra.com/” “Mozilla/5.0 (Windows; U; Windows XP; en-US; rv: Gecko/20070914 Firefox/”

That means there were 2 hits on the server, one for the html page and one for the image. So with one page request there are 2 HITS (in this example)

All the above items will show up in your analytics reports if

  1. You use log file based solution
  2. You do not filter them out when setting up your reports

If you use a JavaScript solution then the only thing which is tagged (contains the JavaScript code) is the HTML page and that’s the only thing which will show up in the Web Analytics report.

Now let’s take a look at this sample again but this time we will look at the source to make sure there are no items hidden behind the HTML code. Sometimes (read most of the time) there are files that are not visible to the individual but still need to be downloaded from server and count towards the hits.

Here is what the source code looks like:

You will see there are two more files that are embedded in the page. One is a style sheet (stylesheet.css) and the other is a JavaScript (myjavascript.js) file.

So when a user requests this page, a total of 4 files are being requested from the server

  • The actual html page
  • The image embedded in it.
  • The .css file (stylesheet)
  • The .js (JavaScript File)

This is how the log file will look like – – [16/Jun/2007:11:17:55 -0400] “GET /samplepage.html HTTP/1.1” 200 3225 “http://www.anilbatra.com/” “Mozilla/5.0 (Windows; U; Windows NT XP; en-US; rv: Gecko/20070914 Firefox/” – [16/Jun/2007:11:17:55 -0400] “GET /batman.jpg HTTP/1.1” 200 3225 “http://www.anilbatra.com/” “Mozilla/5.0 (Windows; U; Windows XP; en-US; rv: Gecko/20070914 Firefox/” – [16/Jun/2007:11:17:55 -0400] “GET /stylesheet.css HTTP/1.1” 200 3225 “http://www.anilbatra.com/” “Mozilla/5.0 (Windows; U; Windows XP; en-US; rv: Gecko/20070914 Firefox/” – [16/Jun/2007:11:17:55 -0400] “GET /myjavascript.js HTTP/1.1” 200 3225 “http://www.anilbatra.com/” “Mozilla/5.0 (Windows; U; Windows XP; en-US; rv: Gecko/20070914 Firefox/”

If you are counting the Hits then there are 4 Hits on the server. It is evident it does not make a lot of sense to count Hits. Let’s look at what make sense (at least for now).

Page Views

According to Web Analytics Association Standards, “Page is an analyst definable unit of content”. Page Views is the number of times a page (an analyst-definable unit of content) was viewed.

So what does it mean? It means you can define type of file, Module, Flash interaction, PDF etc as a page and when a user views them they can be counted as Page Views.

Let’s use the above example and define a valid page as the files with .html extension only. When using a log file solution we configure the tool to filter out the other types of requests and only count pages with .html extension as valid pages. In a JavaScript based solution, all other types of files mentioned above (except .html in this case, if it has the JavaScript tag) will be automatically excluded from the Page View count.

So how many pages will the analytics report show? One, as there is only one html page. (You can configure your JavaScript based web analytics tool to track other forms of files as page views too but that requires customization).
The one page that is showed in the reports is a page view.

Visitors or Unique Visitors

Visitors or Unique Visitors, sometimes also referred as Unique Users is the number of unique individuals visiting a site. The most common way to identify an individual is via an anonymous cookie. Keep in mind that this is a close estimate of unique visitors and not an exact measure. Here are four examples on how unique visitor count can be wrong

  1. If two people use the same computer and same browser to visit a site, that identifies users by an anonymous cookie, both of them will be counted as one unique visitor since their cookie will be the same.
  2. On the flip side, if one individual uses two different computers to access the same site, the individual will be counted as two unique visitors because the new anonymous cookie will be issued on both the computers and show up as two different cookies in the analytics tool and hence will count them as two different visitors.
  3. If an individual uses the same computer but two different browsers (say IE and Firefox) then the person will be counted as two unique visitors because each browser will have its own cookie.
  4. If the individual visits the site, she will be counted as one visitor. Then if she clears her cookie and then visits the site again, she will be counted as two visitors.

Note: Visitors are calculated over a period of time e.g. day, week, month, year etc. and a visitor count from two periods can not be added together to get a total visitor count. Let’s take the data for following 2 days
Day 1 – 30 visitors
Day 2 – 45 visitors

The total visitors count for day 1 and day 2 is NOT the sum of the visitors count for the two days i.e. it is not 75 (30+ 45). Why?

For simplicity let’s assume that all the visitors who came to the site on day 1 also returned to site on day 2. In that case we will have 30 visitors from day 1 and 15 (45-30) on day 2 as unique between those two days, making the total unique to be 45 for the two day period and NOT 75.

The calculation I showed above has been simplified for this example. My advice is to let the analytics tool do the calculation for you and not sum the visitor count from separate period to come up with the total count of unique visitors.


Visit is also known as session. Visit starts when a visitor interacts with this site. In most case the interaction is the first page view by the visitor. The visit ends when user does not interact with a site for specified period of time. Most of the web analytics tools set 30 mins of inactivity as the end of the visit, however in most tools it is configurable and you can set it to whatever makes sense for your business.

Unlike, unique visitors, total visits to the site can be summed across time periods to get the total visit count for the period.

Hope this clarifies some of the confusion surrounding these terms.

Questions? Comments?

From Anil Batra: Hits, Page Views, Visitors and Visits Demystified

What is a HiPPO?

web analytics hippo
Web Analytics HiPPO

HiPPO, as it relates to web analytics, is an acronym for “Highest Paid Person’s Opinion” or “Highest Paid Person in Organization”, the term is widely used and made famous by Web Analytics guru Avinash Kasuhik (Not sure if he actually coined the term).

Many in the web analytics community believe that a person in Highest Paid Position is generally wrong because that makes random decision based on intuitions and instinct rather than data.

Real Time Analytics Tools

Below is a list of Real time Web Analytics tools that you can you to optimize your landing page and conversion paths. We will continue to update this page so that you have the latest information. If you find something that we should include then please email us.


Tool Price Site
Clicky Free Trial http://getclicky.com/
Clicktale Free Trial http://www.clicktale.com
ShinyStat Free Trial http://www.shinystat.com/
Reinvigorate Free Trial http://www.reinvigorate.net/
StatCounter Free http://statcounter.com/
Woopra Free http://www.woopra.com/
Performancing Free Trial http://pmetrics.performancing.com/
Piwik Free http://piwik.org/
SiteMeter $6.95 and up http://www.sitemeter.com/
TraceWatch Free http://www.tracewatch.com/
Chartbeat $9.95 and up http://chartbeat.com/
W3Counter Free Trial http://www.w3counter.com/
Histats Free http://www.histats.com/
GoSquared Free Trial http://www.gosquared.com/
DaCounter Free http://www.dacounter.com/

Source: http://www.Optizent.com


Ultimate A/B and Multivariate Testing Resources

Here are the resources to help you learn A/B Split Testing and Multivariate Testing (MVT).  We will continue to update this page so that you have the latest information. If you find something that we should include then please email us.


Tool A/B or MVT Price Site
Google Website Optimizer Both Free http://www.google.com/websiteoptimizer
Omniture Test & Target Both Varies http://www.omniture.com
Visual Website Optimizer Both $49 and Up – Free Trial http://www.visualwebsiteoptimizer.com/
Sitespect Both Varies http://www.sitespect.com/
Maxymiser Both Varies http://www.maxymiser.com/
Ioninteractive Liveball Both $1295 and up http://www.ioninteractive.com/
Optimost Both Varies http://www.optimost.com
Vertster Both Varies http://www.vertster.com/
KaizenTrack Both $197 fixed price http://www.kaizentrack.com/
SiteTuners Tuning Engine Both Varies http://sitetuners.com/tuning-engine.html
Webtrends Optimize Both Varies http://www.webtrends.com/products/optimize
Split Test Accelerator MVT $297 fixed price http://www.splittestaccelerator.com/
Hiconversion MVT Varies http://hiconversion.net/products-overview/
Conversion Multiplier MVT Varies http://www.conversionmultiplier.com/
Unbounce A/B $25 and up http://unbounce.com/

Source: http://www.Optizent.com

Blog Posts, Articles & Sites


Web Analytics and Usability Testing

Here are two presentations about marrying Web Analytics and User Experience (UX). Since there are not very many articles, presentations on this subject this should help you get started. If you do find something that we should include here then please let us know.

Here are two presentations about marrying Web Analytics and User Experience (UX). Since there are not very many articles, presentations on this subject this should help you get started. If you do find something that we should include here then please let us know.

1. Marrying Web Analytics and User Experience Louis Rosenfeld • 5 August 2009 Delve NYC • Brooklyn 1

[slideshare id=1401452&doc=keynote-090507123424-phpapp01]

2. Web Analytics and Usability Testing: Triangulate your way to better design recommendations by Eva Kaniasty

[slideshare id=1579031&doc=analyticspresentation-090613183722-phpapp02]

Attitudes of Internet Users Toward Targeting

According to a January 2011 survey from Krux Digital, 57% of internet users surveyed said it was OK for websites to serve targeted ads based on their activity on that website, less than half as many had positive attitudes toward tracking that followed them from site to site.

Read more at http://www.emarketer.com/Article.aspx?R=1008222