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The importance of trends analysis
Any statistical measure is affected by errors. For example if
we are measuring the average number of pages viewed by the
visitors of your web site, we could obtain, say, 5 pages/visit
on one day, and 6 pages/visit on the next day. Which measure is
more precise? In statistical terms, the more precise measure is
the one with the lower error, so if the measures are 5±10% and
6±15% we would conclude that the first measure is more precise.
A yet better choice than picking either one of the two
measures is combining them in order to obtain a third
more reliable value. This third value is calculated by weighing
the two measures according to their errors, so that the first
and more precise measure weighs more than the second one. The
calculation yields in this case 5.25±8%, which represents a
remarkable improvment over our previous information.
Extending this simple fact, we can improve the statistics'
precision day after day, in a sort of successive improvement
process. In this way each one of the daily measures contributes
to the calculation of the best current estimate of a given
traffic measure although, taken individually, it is affected by
statistical noise.
As one can expect, since trend values are less affected by
noise, they tend to oscillate far less than actual measures as
illustrated in the example below.
The trend line has the following daily readings:
| 5.50 ± 12.73% |
|
5.71 ± 9.21% |
|
5.84 ± 8.25% |
|
5.60 ± 7.09% |
|
5.56 ± 6.40% |
|
10 ± 12% |
|
9.36 ± 7.70% |
As you can see the precision of the trend value improves
significantly. Until the last but one day that is, as we see
next.
An essential component of our trend analysis is a mechanism
to distinguish whether a daily measure is to be used to refine
the current best estimate or if it rather indicates a new
disruptive event in the traffic of your site. In the example
above, in the last but one day in the interval we measured a
value that significantly differed from the previous sequence.
We recognize such discontinuous events based on the
calculation of the statistical distance between the daily
measures and the current trend; If the distance is within a
"reasonable" range, we deem the measure to be part of the same
statistical process that generated the current trend; on the
contrary, if the statistical distance is above a threshold, we
consider the last measure to be an indication that a new trend
might actually be starting, and consequently we don't combine it
with the best estimate. In both cases the most reliable
information is always available.
How
It Works
Turbo Web Stats offers a wide range of statistical analysis
for you to be able to control the traffic of your web sites.
Using Turbo Web Stats is very easy. Once you sign up you will
be given a short piece of JavaScript code that you have to
include in every page that you wish to track. Without this piece
of code we won't be able to track your page, so whenever you
want to stop tracking a page simply remove that piece of code
from your page.
Include the JavaScript code before the closing body tag of
your pages.
Statistics
offered
Statistics offered Traffic Overviewbr>1. Number of
visits Description Chart example 2. Number of page views
Description Chart example 3. Number of page hits Description
Chart example 4. Site navigation Description Chart example
Visits 5. Average visit length Description Chart example
6. Average number of pages viewed in a visit Description Chart
example 7. Average number of pages hit in a visit Description
Chart example 8. Histogram of visit length Description Chart
example 9. Histogram of the number of page views in a visit
Description Chart example 10. Histogram of the number of page
hits in a visit Description Chart example 11. Histogram of
visit origin (direct vs. back links) Description Chart example
12. Back links Description Chart example Pages 13. Number
of times the page is viewed Description Chart example 14.
Number of times the page is hit Description Chart example 15.
Probability that a visitor views the page Description Chart
example 16. Average duration of page visit Description Chart
example 17. Histogram of exit pages Description Chart example
18. Histogram of entry pages Description Chart example Repeat
Visits 19 Average number of times a visitor returns to your
site Description Chart example 20 Histogram of the number of
times a visitor returns to your site Description Chart example
Visitors Technology 21. Histogram of browsers Description
Chart example 22. Histogram of screen resolution Description
Chart example 23. Histogram of operating systems Description
Chart example 24. The impact of the browser on the number of
page hits Description Chart example 25. The impact of the
screen resolution on the number of page hits Description Chart
example Search Analsysis 26. Keywords that take visitors
to your web site from search engines Description Chart example
27. Histogram of traffic from search engines Description Chart
example Geographycal Distribution 28. Number of visitors
grouped by country Description Chart example 29. Number of
visitors grouped by geographycal region Description Chart
example
Statistics details 1. 2. 3. Number of visits,
page loads, and page hits
These counters count the daily
number of visitors, page loads and page hits. They offer an
overview of your site's traffic growth.
Up Chart example
4. Site navigation
The page-to-page paths followed by
your visitors are showed in this highly informative and
interactive graph. Click on the symbol of any page and you'll
see what pages visitors came from and what pages the visitors
will follow next. You can also see what are the exit pages (also
more on this on graph 17), entry pages (see also graph 18) and,
for each page, the referrers from external domain.
Up
Chart example 5. Average visit length
The average
visit duration is given in seconds. The duration of a visit is
calculated by adding the individual pages' duration. Since the
last visited page's duration is not detectable, the average
duration of this page is used, as calculated from its recent
history. The histogram details the percentage of your visitors
who spend:
Up to 30 seconds Between 30 sec. and 5 mins
Between 5 mins and 15 mins Between 15 mins and 30 mins
Up Chart example 6. Average number of pages viewed in a
visit
This report measures the average number of page
loads per visit. This information can be useful in order to
understand how deep your visitors go on your site.The histogram
details the percentage of your visitors who visited:
Only
one page Between 2 and 5 pages Between 6 and 10 pages
Between 11 mins and 20 pages
Up Chart example 7.
Average number of pages hit in a visit
This report
measures the average number of page hits per visit. This
information can be useful in order to understand how deep your
visitors go on your site.The histogram details the percentage of
your visitors who visited:
Only one page Between 2 and
5 pages Between 6 and 10 pages Between 11 mins and 20
pages
Up Chart example 8. Histogram of visit length
The average visit duration is given in seconds. The duration
of a visit is calculated by adding the individual pages'
duration. Since the last visited page's duration is not
detectable, the average duration of this page is used, as
calculated from its recent history. The histogram details the
percentage of your visitors who spend:
Up to 30 seconds
Between 30 sec. and 5 mins Between 5 mins and 15 mins
Between 15 mins and 30 mins
Up Chart example 9.
Histogram of the number of page views in a visit
This
report measures the average number of page loads per visit. This
information can be useful in order to understand how deep your
visitors go on your site.The histogram details the percentage of
your visitors who visited: * Only one page * Between 2 and 5
pages * Between 6 and 10 pages * Between 11 mins and 20 pages
Up Chart example 10. Histogram of the number of page
hits in a visit
This report measures the average number
of page hits per visit. This information can be useful in order
to understand how deep your visitors go on your site.The
histogram details the percentage of your visitors who visited: *
Only one page * Between 2 and 5 hits * Between 6 and 10 hits *
Between 11 mins and 20 hits
Up Chart example 11.
Histogram of visit origin (direct vs. back links)
This
chart shows the proportion of direct visitors (i.e. from
bookmarks or direct address) versus those who came from external
domains.
Up Chart example 12. Back links
This
chart shows the number of visitors (in absolute value and
relative percentage) caming from your external referrers
Up Chart example 13. Number of times the page is viewed
From this chart you can not only assess the number of times
a page is viewed, but you can also compare it with other pages
in the web site.
Up Chart example 14. Number of times
the page is hit
From this chart you can not only assess
the number of times a page is hit, but you can also compare it
with other pages in the web site.
Up Chart example 15.
Probability that a visitor views the page
This chart
shows you the percentage of visitors who have seen a given page.
Comparision with other pages is also availble.
Up Chart
example 16. Average duration of a page visit
This
chart tells you how long your visitors on average read a given
page.
Up Chart example 17. Histogram of exit pages
This chart ranks the pages of your site according to the
number of times they were last seen by your visitors.
Up
Chart example 18. Histogram of entry pages
This chart
ranks the pages of your site according to the number of times
they were the first page seen by your visitors.
Up Chart
example 19. Average number of times a visitor returns to your
site
This report measures the average number of times
that your visitors have visited your site. The histogram details
the percentage among first-time visitors, second-time visitors
and so on.
Up Chart example 20. Histogram of the
number of times a visitor returns to your site
This
report measures the average number of times that your visitors
have visited your site. The histogram details the percentage
among first-time visitors, second-time visitors and so on.
Up Chart example 21. Histogram of browsers
This
report breaks down the number of visits based on the browser
type. This information can be useful in order to make an
informed decision on which browser your site should be optimized
for.
Up Chart example 22. Histogram of screen
resolution
This report breaks down the number of visits
based on the screen resolution. Like the previous report, this
information can be used for site optimization.
Up Chart
example 23. Histogram of operating systems
This report
breaks down the number of visits based on the operating system.
Up Chart example 24. The impact of the browser on the
subsequent number of page hits
This chart shows if the
there is any bias in the number of pages hit by your visitors
due to the browser they are employing. The first page hit is
excluded by the analysis because it is counted before the
browser renders the page and therefore it does not provide any
information about a potential bias.
Up Chart example
25. The impact of the screen resolution on the number of page
hits
This chart shows if the there is any bias in the
number of pages hit by your visitors due to their screen
resolution. The first page hit is excluded by the analysis
because it is counted before it is showed on the screen and
therefore it does not provide any information about a potential
bias.
Up Chart example 26. Keywords that take
visitors to your web site from search engines
This report
lists the 100 top-most keywords (or phrases) used by your
visitors when finding your site through the major search engines
(Google, Yahoo, MSN, and AOL). The highly detailed information
provided includes: Absolute/relative numbers of visitors who
used the keywords, and a for each keyword a breakdown among the
four search engines mentioned before.
Up Chart example
27. Histogram of traffic from search engines
This chart
ranks four search engines (Google, Yahoo, MSN, and AOL)
according to their ability to send visitors to your web site.
Up Chart example 28. Number of visitors grouped by
country
This report ranks the countries according to the
location of your visitors.
Up Chart example 29. Number
of visitors grouped by geographycal region
This chart
compares six different geographyc regions (North America, South
America, Europe, Africa, Asia, and Japan) according to the
location of your visitors.
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