WEB ANALYTICS A.K.A GOOGLE ANALYTICS

Analytics that matter.

From free web analytic solutions to small business enterprise analytic solutions that run through the entire site.  Where are people clicking, what are they shopping for, email response rates, direct mail campaign data, user performance data and where are customers dropping off the site.  Web Analytics Matters!!!

 

Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage.

There are two categories of web analytics; off-site and on-site web analytics.

Off-site web analytics refers to web measurement and analysis irrespective of whether you own or maintain a website. It includes the measurement of a website's potential audience (opportunity), share of voice (visibility), and buzz (comments) that is happening on the Internet as a whole.

On-site web analytics measure a visitor's journey once on your website. This includes its drivers and conversions; for example, which landing pages encourage people to make a purchase. On-site web analytics measures the performance of your website in a commercial context. This data is typically compared against key performance indicators for performance, and used to improve a web site or marketing campaign's audience response.

Historically, web analytics has referred to on-site visitor measurement. However in recent years this has blurred, mainly because vendors are producing tools that span both categories.

Improve your online results

Learn more about where your visitors come from and how they interact with your site. You'll get the information you need to write better ads, strengthen your marketing initiatives, and create higher-converting websites. Learn more about the benefits. Google Analytics is free to everyone, whether you are an advertiser, publisher, or site owner.

More enterprise features

Google Analytics now makes the features that experts demand easy to use for everyone. Gain rich insights into your website traffic with Advanced Segmentation, Custom Reporting, Motion

 

Google Analytics helps you find out what keywords attract your most desirable prospects, what advertising copy pulled the most responses, and what landing pages and content make the most money for you.

Free.

Spend on marketing, not on web analytics.

Sophisticated Analytics.

Google Analytics has all the features you'd expect from a high-end analytics offering. It also provides tightly integrated AdWords support, so you can view AdWords ROI metrics without having to import cost data or add keyword tracking codes.

Easy to use.

Google Analytics is easy to use for novice marketers, while delivering all of the capabilities that experienced web analytics professionals expect.

Scalable for any size site.

Google Analytics is a hosted service that runs on the same servers that power Google. From large, high-traffic corporate sites to small sites, Google Analytics delivers consistent service.

Integrated with AdWords.

If you have an AdWords account, you can use Google Analytics directly from the AdWords interface. Google Analytics also calculates ROI metrics from automatically imported cost and keyword tracking data, saving you time.

Tracks all campaigns.

Google Analytics tracks all online campaigns, from emails to keywords, regardless of search engine or referral source.

Safe.

Google takes the trust people place in us very seriously, and is pledged to safeguard the privacy of your corporate data. We understand that web analytics data is sensitive information, so we accord it the ironclad protection it deserves. Read our industry leading privacy policy.

Data Integrity

Hosted in Google's global data centers, Google Analytics leads the industry in data integrity and protection. Google Analytics has always used first party cookies to ensure consistent tracking.

Part of a Larger Google Product Suite

Google Analytics is part of a Google ecosystem that includes products such as AdWords, AdSense, Website Optimizer, DoubleClick, Internal Site Search, TV Ads, Audio Ads, Analytics for Blogs, Checkout, webmaster solutions, and more.

 

Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage.

There are two categories of web analytics; off-site and on-site web analytics.

Off-site web analytics refers to web measurement and analysis irrespective of whether you own or maintain a website. It includes the measurement of a website's potential audience (opportunity), share of voice (visibility), and buzz (comments) that is happening on the Internet as a whole.

On-site web analytics measure a visitor's journey once on your website. This includes its drivers and conversions; for example, which landing pages encourage people to make a purchase. On-site web analytics measures the performance of your website in a commercial context. This data is typically compared against key performance indicators for performance, and used to improve a web site or marketing campaign's audience response.

Historically, web analytics has referred to on-site visitor measurement. However in recent years this has blurred, mainly because vendors are producing tools that span both categories.

The remainder of this article concerns on-site web analytics.

Key definitions

There are no globally agreed definitions within web analytics as the industry bodies have been trying to agree definitions that are useful and definitive for some time. The main bodies who have had input in this area have been Jicwebs(Industry Committee for Web Standards)/ABCe (Auditing Bureau of Circulations electronic, UK and Europe), The WAA (Web Analytics Association, US) and to a lesser extent the IAB (Interactive Advertising Bureau). This does not prevent the following list from being a useful guide, suffering only slightly from ambiguity. Both the WAA and the ABCe provide more definitive lists for those who are declaring their statistics using the metrics defined by either.

• Hit (internet) - A request for a file from the web server. Available only in log analysis. The number of hits received by a website is frequently cited to assert its popularity, but this number is extremely misleading and dramatically over-estimates popularity. A single web-page typically consists of multiple (often dozens) of discrete files, each of which is counted as a hit as the page is downloaded, so the number of hits is really an arbitrary number more reflective of the complexity of individual pages on the website than the website's actual popularity. The total number of visitors or page views provides a more realistic and accurate assessment of popularity.
• Page view - A request for a file whose type is defined as a page in log analysis. An occurrence of the script being run in page tagging. In log analysis, a single page view may generate multiple hits as all the resources required to view the page (images, .js and .css files) are also requested from the web server.
• Visit / Session - A series of requests from the same uniquely identified client with a set timeout, often 30 minutes. A visit contains one or more page views.
• First Visit / First Session - A visit from a visitor who has not made any previous visits.
• Visitor / Unique Visitor / Unique User - The uniquely identified client generating requests on the web server (log analysis) or viewing pages (page tagging) within a defined time period (i.e. day, week or month). A Unique Visitor counts once within the timescale. A visitor can make multiple visits. Identification is made to the visitor's computer, not the person, usually via cookie and/or IP+User Agent. Thus the same person visiting from two different computers will count as two Unique Visitors.
• Repeat Visitor - A visitor that has made at least one previous visit. The period between the last and current visit is called visitor recency and is measured in days.
• New Visitor - A visitor that has not made any previous visits. This definition creates a certain amount of confusion (see common confusions below), and is sometimes substituted with analysis of first visits.
• Impression - An impression is each time an advertisement loads on a user's screen. Anytime you see a banner, that is an impression.
• Singletons - The number of visits where only a single page is viewed. While not a useful metric in and of itself the number of singletons is indicative of various forms of Click fraud as well as being used to calculate bounce rate and in some cases to identify automatons bots).
• Bounce Rate - The percentage of visits where the visitor enters and exits at the same page without visiting any other pages on the site in between.
• % Exit - The percentage of users who exit from a page.
• Visibility time - The time a single page (or a blog, Ad Banner...) is viewed.
• Session Duration - Average amount of time that visitors spend on the site each time they visit. This metric can be complicated by the fact that analytics programs can not measure the length of the final page view.
• Page View Duration / Time on Page - Average amount of time that visitors spend on each page of the site. As with Session Duration, this metric is complicated by the fact that analytics programs can not measure the length of the final page view.
• Page Depth / Page Views per Session - Page Depth is the average number of page views a visitor consumes before ending their session. It is calculated by dividing total number of page views by total number of sessions and is also called Page Views per Session or PV/Session.
• Frequency / Session per Unique - Frequency measures how often visitors come to a website. It is calculated by dividing the total number of sessions (or visits) by the total number of unique visitors. Sometimes it is used to measure the loyalty of your audience.
• Click path - the sequence of hyperlinks one or more website visitors follows on a given site.