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1. Interface Wireframe >
1.3 Visitors
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| Visitors | Overview | Benchmarking | Map Overlay | New vs. Returning | Languages | Visitor Trending | Visits | Absolute Unique Visitors | Pageviews | Average Pageviews | Time on Site | Bounce Rate | Visitor Loyalty | Loyalty | Recency | Length of Visit | Depth of Visit | Browser Capabilities | Browsers | Operating Systems | Browsers and OS | Screen Colors | Screen Resolutions | Flash Versions | Java Support | Network Properties | Network Location | Hostnames | Connection Speeds | User Defined
We can learn all about our website visitors in this section of analysis.
Visitor Segmentation
Visitors Profile; languages, network locations, user defined
Browser Profile: browsers, operating systems, browser and operating systems, screen colors, screen resolutions, java support, Flash
Map Overlay- Geolocation visualization
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Visitors Overview
How many people visited this site?
You can analyze:
-Visits
- Absolute Unique Visitors
- Pageviews
- Average Pageviews
- Time on Site
- Bounce Rate
- New Visits
Visitor Segmentation
Visitors Profile:
- languages, network locations, user defined
Browser Profile:
- browsers, operating systems, browser and operating systems, screen colors, screen resolutions, java support, Flash
Map Overlay
- Geolocation visualization
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Compare your site against other industry specific sites.
Also see the All Traffic Sources report for additional analysis of this metric.
First select Industry.
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See what countries/territories are the most popular areas of the world that visit your site.
Detail Levels include: City | Country/ Territory | Sub Continent Region | Continent.
Use goal conversion tab.
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Visitor Type contribution to total:
-Pages/Visit
-Avg. Time on Site
-% New Visits
-Bounce Rate
-Goal1 Conversion Rate
-Goal Conversion Rate
-Per Visit Goal Value
Use goal conversion tab.
I love to do timeline comparisons. It looks like our loyalty is dropping a little bit here.
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Find out how many visits used how many languages.
Language, Visits, Pages/Visit, Avg. Time on Site, % New Visits, Bounce Rate.
Use goal conversion tab.
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Find out how many Visits per hour, week, day or month.
Available Timelines
Hour, Day, Week, Month
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Find out how many Visits per hour, week, day or month.
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Based on people that have visited your website for the first time. Check per hour, week, day or month.
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Full pageviews. Check per hour, week, day or month.
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How many pageviews per visitor? Check per hour, week, day or month.
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How much time on your site do visitors spend? Check per hour, week, day or month.
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Bounce rate is the percentage of visitors that left your site on the same page they entered on.
 Check per hour, week, day or month.
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How loyal are your visitors?
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Here's a good example of loyal visitors.
Over 25% percent of visitors view pages on this site over 201 times.
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Almost 80% of all visitors are visiting this site within the last 24 hours.
We can see this is a sticky website that visitors visit frequently.
Compare this month to last month.
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How long do the visitors remain on your site for?
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How deep do visitors go? On this site there is an average of 3 pages per visit. It should be noted 6.48% visit 20+ pages.
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What browsers do your visitors use? Sort by table, percentage, performance or comparison view. In this screen capture I am comparing visits to site average and clicking the goal conversion tab.
Now we can see what browsers are converting the best. Based on this data it may be worth looking into helping Safari and Chrome users convert better.
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Here I have switched to Table view and toggled over to goal conversion.
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Browsers & operating systems combined is an interesting metric. Especially with new browsers emerging like Chrome.
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Screen colors can help you define the graphic output for your graphics.
For some reason here we are seeing an overall drop in visits comparing the 2 timelines.
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Like screen colors you can guide your graphic design with user data. In this case I am seeing visits are down and bounce rate has increased.
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Flash versions help you with flash design. In this screen we can see the increase in flash 10.0r22.
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We are only losing tracking for under 5% of our visitors. When Java is not supported Google Analytics cannot track the visitor's actions
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Find out about the networks being used to access your website.
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What host names are the most popular to your website?
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Connection speeds provide insights into how graphic heavy to make your site. In this view I have sorted the data of the goal conversion rate column from ascending to descending.
Although "unknown" is the most popular connection speed, when I click goal conversion>>Goal conversion rate we see dial up in the top 3.
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The most important part of this feature is to understand its purpose, "user defined". That means you can use it the way you want to. What I can do is give you a few ideas.
Blog or Forum URLs
When you look through your content reports you will see URLS like
/blog/comment.php
/forum/showthread.php
This does not really tell us much but if we introduce the "User Defined" report with a little filter we will be able to see the full URL. We do not need to modify the tracking code in any way for this report to appear in user defined.
Full URL user defined
Custom Filter
Advanced
Field A -> Extract A: Referral (.*)
Field B -> Extract B:
Output To -> Constructor: User Defined $A1
Field A Required: Y
Field B Required: N
Override Output Field: Y
Case Sensitive: N
Categorizing Pages
User defined variables can be executed from the GATC by modifying the _utmsetvar().
One good use of this function is when you want to test pages that are similar but viewed by a different audience. A good example is if you have a multiple language site. You can tag the different language pages into segmentations with user defined tracking.
To do this you would modify the tracking code like this:
For English Version
pageTracker._setVar("english_views");
For German Version
pageTracker._setVar("german_views");
Then you can navigate to visitors>>user defined and see how these pages are performing.
Example using cookies to compare the behavior differences between logged in users and non logged in users.
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