Saturday, December 1, 2018
The Digital Worlds get chaotic
Saturday, November 25, 2017
Not seeing what you should see
So, if you want to see new things, break with the standards, and follow the unexpected links. Look for real news, and not what the websites present you as 'the news'
I notice that the websites and blogs are vanishing to the background and that the main public visits the public social medua and websites. From there they are guided to specific places that have a commercial purpose. Not good for you, but income for the makes of these sites. Be aware of how this works, and break the chain.
Wednesday, June 1, 2016
BLOG's are not popular
That worked quite well for the last years, but now people seem to not follow those links anymore. The BLOG's form an undiscoverd archive of information that most Internet-users are avoiding. A new marketing tool will be brought out soon to solve this. Not sure what it will be.
StatCounter - Browsers

The obvious question is have you tested your website in the browsers your visitors are using? A website can look great in one particular browser and not work in any other. It is always recommended to code websites using the standards maintained by W3C.
Tuesday, February 2, 2016
Social Networks take the traffic
Tuesday, November 17, 2015
Friday, July 16, 2010
Poll Instrument
Sample of a Poll that can be placed on any platform. The Poll is kept track of by one single site with the database and this way the in formation grows fast from several sources when doing research.
Monday, November 30, 2009
Statistics on this blog increase

Sunday, November 4, 2007
Technorati Blog Info update 4-11-2007

Wednesday, October 31, 2007
FEEDJIT - Trafic Map

FEEDJIT - Live Traffic Feed
FeeJit has a nice result besides the wesite that shows how visitors came here and where to they leave. The overview is visible for everybody so they can see what kind of 'traffic' this site genereates. This is also for the owner of a site very interesting information because when he checks the site he sees what is going on.About FEEDJIT
"Our mission is to provide high performance real-time widgets for the blogging community that are free and easy to use. FEEDJIT is founded by two serial entrepreneurs whose previous businesses include a search engine and a blogging platform. If you'd like to contact us, please email"
<support@feedjit.com> with any questions, feedback or bug reports.
Monday, October 29, 2007
Theory
Analysing data from your website is important. Perception is often vastly different to reality. Website statistics can be misleading if not interpreted properly. A basic analysis can be done using statistics programs provided by your hosting company. Using these statistics, you should be able to evaluate;
Return on investment in SEO. Search engine optimisation companies who charge thousands of dollars for their services often base their claim on getting a handful of top search terms but it may be that only a handful of visitors actually find your website by typing in those search terms. Are you spending hundreds of dollars on hosting, management, search engine optimisation and copywriting a month for a website that no-one visits?
Are your premium google listings, google adwords, adverting costs from other search engines and websites providing a return on investment, or are you spending thousands of dollars for a handful of visitors?
Where are your visitors coming from?
What are the popular search terms and phrases used to find your website?
Are marketing campaigns like letter box drops, competitions, raffles, etc bringing more visitors to your website?
Limitations
Website data like all data collection has limitations. Currently all website statistical programs and web services on the internet assume that a unique user is equal to a unique I.P. Users may choose to access your website from different locations and/or may not have a static IP. Users of dial up internet will not have a static IP and so the website data will count them as a different visitor. Understanding the limitations, is important when interpreting data.
Many people believe that a popular website gets lots of hits. The number of hits is the equal to the number of file requests on a webpage, so if you have lots of images on your website, you will have lots of hits. The number of hits tells you nothing about the popularity of your website or whether your website is working for your business.
All the log analyzers and statistics programs available use simple mathematics. The problem is averages can lie if the proper mathematical model is not used. A statistician knows that averages, medians are meaningless without discussing variance, standard deviations, testing hypothesis, choosing the correct distribution, removing outliners.
Finding meaning in statistics
Statistics is not flawless but it will paint a picture and a good analysis of website usage will benchmark website performance against your desired outcomes and provide options for better website design.
Some questions statistical analysis may provide answers to include -
How many visitors are coming to the website?
Where do visitors come from? If they come from search engines, what key words and phrases are they using to find your website?
How long do visitors stay on your website?
What are the click paths of various type of visitors to your website?
What linking sites do your visitors come from?
Do the statistics give an indication of demographics?
What is the main reason people come to the website to do, read or buy?
However if you want to measure improvement, you need to do a proper analysis and calculate standard deviation. Otherwise, you could prematurely come to a conclusion that there had been an improvement when perhaps it was only variance or seasonal factor that influenced the result.
Using raw logs
Proper statistical analysis can only be done using raw data and by importing data into mathematical programs or log analysing software and eliminating outliners.eg. eliminating the ip addresses of staff members from website usage data. Obviously this is more expensive and the scope and purpose of website statistical analysis must be determined. It is also necessary to compare various tools, as the way that each program manipulates the data will vary and some log analyzers may be programmed incorrectly. Just because it spits out an answer or pie graph does not mean that the answer is correct.
source: http://www.passioncomputing.com.au/Website_Redesign/Statistical_analysis.aspx
Friday, October 26, 2007
GeoVisite

Thursday, October 25, 2007
StatCounter - Returning Visits

This overview is always interesting. Do visitors come back after a first visit. Seems that is the case here, judging these graphical presented results by www.statcounter.com
StatCounter - Returning Visits
From your project log of the last x number of pageloads, we extract the total number of unique visitors present in it. Each unique visitor has a cookie, which is incremented each time they return to visit your website (a couple of hours is needed between visits depending on your settings). From this info we can show you how often visitors return to see your website again and again.
The best and most successful websites are the ones with a very high return frequency. If you have a low or non-existant return frequency you may want to change your website to encourage your visitors to come again and again.
Statcounter - Popular Pages
This overview of www.statcounter.com gives you a perfect overview of what the popular pages on your website are. These subjects are interesting to your visitors!
Friday, October 19, 2007
ClustrMap Results on 19-10-2007

Running total of visits to the above URL since 1 Oct 2007: 141Total since archive, i.e. 1 Oct 2007 - present: 141 (not necessarily all displayed - see below). Visits on previous 'day': 1.Additional Notes about totals and map updates (for full guide see Map Key):The map shows individual visits to the web site shown at the top of the page, clustered within a given distance. The location of each visit is based on the IP address of the computer used. Update frequency variation: In order for your map to be 'updated' (whether daily, weekly, or monthly) the number of visitors shown must also have grown by a certain percentage since the last update.
This percentage may have changed recently, and is explained more fully in our FAQ about update frequency.Total/subtotal discrepancies above are typically caused either by IP addresses not currently being in the database or by the gap between counter tallies (continous) and map updates (which may be daily, weekly, or monthly).
See FAQ for additional explanations.
Friday, October 12, 2007
Statistics Cartoon

Tuesday, October 9, 2007
Statcounter - Information Visit Length
StatCounter gives a nice feature: The length of the visits on your site. When visitors leave within 5 seconds, that means they probably weren't interested at all. The rest you can see how long they stayed. How they measure this? They just measure the time between entrebce URL en exit URL. So the details aren't that optimal, but an indication for sure.For the free StatCounter tool it only measures the last 500 visitis. Not that much for a test. For access to the complete features one has to pay.


