Hi, thanks for the visit - hope that you will find useful information. Leave a comment but if you have comments on the subject.
Now I have a small "Quicky from" in between, because I know that some long hard wait on Picasa fürn Mac.
After a long wait was finally released Picasa for the Mac. As the official Google Blog reports a free beta version is available that runs under Mac OS version 10.4.
Further information are available in English in the official Google Blog .
Continued from Google Analytics own IP filter out (Part 1)
Setting up filters
For those where the variant is to remain imprecise segmentation via the filter. Filters offer the possibility of an exact IP address or a range specified via Regular Expressions.
Filters on the Google Analytics Overview page (where the different accounts will be listed) will be established and operated. For this one clickt on the "Filter Manager" right below. In the Filter Manager can be in the gray bar directly, a new filter can be created. In my case, I would now again awarded the title "Without Me". Then select Filter on Type: "Exclude all traffic from an IP address" and enter in the field including my Ip address. This is important, that is set before each point by a backslash. So eg so 193 \ .0 \ .0 \ .0.
The points must be validated by a backslash, "" because of the punk would otherwise be interpreted as regular expressions. In this case, the point stands for a wildcard matching any by each character can be replaced. But if one has a static IP address you have to make it no further thought. For users who want to filter out an IP range that is quite interesting. May be excluded on the following statement of all IPs 193.0.0.1 - 193.0.0.50: ^ 193 \ .0 \ .0 \. ([1-9] | [1-4] [0-9] | 50) $
When regular expressions are not quite trivial, but - frankly, I also do not like t so special - a practical tool, Google for just this purpose of applying available. Here you can Lockout for an IP Range generate the regular: IP Range tool from Google .
Filter set
After all that done so far still has the desired profile for the filter was to take effect should be selected. Then save them and the whole thing would be done.
Finally, it applies only to say that the filter should be well tested, since one can easily destroy its data with false information. Therefore, it is best first of all create something in a test account.
Following up on my blog is not yet quite young romp too many visitors, I have my own visits in Google Analytics does not try to take into account. Although the numbers are then a little bit sobering, but at least you get a better view.
There are two ways of tracking in Google Analytics to influence based on defined rules. Filters appear to offer similar opportunities or Advanced segment but have different advantages and disadvantages.
Filter
Advanced Segment
- Rule is applied in the collection of data
- Does the presentation of data
- Filtered out data can not be restored
- Data is ever at will or hidden
- Rules such as IP range can be defined exactly or via regular expression
- Rule is restricted to define. IP address can not be defined as
Setting up custom segments
I am personally a flexible version that I can always turn to, rather in this case. Since then, I take into account that the definition can only be approximated, and the data are not accurate.
The decor is very simple. All existing Segmentationsmöglichkeiten in Google Analytics right above, is available "under" Advanced Segment: All visits. There are then also the opportunity to invest alongside the pre-defined options, a new segment.
Advanced Segment Overview
To create one is directed to a page on which the rules by dragging and dropping can be easily clicked together. In my case, I created a rule which is to identify as accurately as possible and exclude my visits.
Network Location> Does not match exactly> my provider
AND
City> Does not match exactly> my city
Establishment of segments
Depending on the provider and more of the city can do a relatively accurate statement or else a very fuzzy norm. A user in Munich on the Telekom will be online with this statement probably have its problems. For users on a corporate network that is designated as a Network Location in Google Analytics, but this is a good way.
Then need only one name can be chosen for this rule. Here I just enter "entered without me." Now I have the opportunity to present the statistics in Google Analytics for the segment "without me" and see 30% of my page views I cause myself ... but hopefully that will change soon. ;-)
As the whole can be made precise filter over I declare tomorrow, until then ... Google Analytics own IP filter out continued (Part 2)
I now sometimes as Personalisierungsfan oute. Damitmeine I do not think that all the details of a user are recorded and the Used is spied. In my view, must be as unobtrusive, personalized features that the user does not notice that these are to him personally customized information.
Unfortunately, there are such features only rarely in the Web, or only in certain areas. At the most obvious personalization features with classic ala Amazon eCommerce websites are seen. But beyond that I can think of very few examples. Granted, my humble self, it has a variety of reasons not made as often as originally provided for such functions to realize the design phase. The reasons were there all the classics such as: budget, apprehension increased data maintenance, insufficient content, etc. - What do I find but still a shame, as it often is not much need for an entrance into this matter to create.
Thus, for example, on a tourist site interests of the user will be queried. At the beginning it is perfectly adequate only the interests or even to identify the main interest of potential customers. The advantage here is that this thoroughly elegant may be determined by the visited sub-sites. is therefore a user of the menu item or an item called a cookie on culture with the appropriate information set. Very important here is that no login is required and such tactics can be implemented, therefore, on any website and used as the user, can surf without additional effort. If the information has been collected only once, then can the interests of the customer can be met on the site. This could, for example, the introductory example, the entire visual world to be adapted to the user.
The whole thing now sounds quite trivial, and many will think to put such a cookie and to share a few pictures but nothing special. Exactly right, but just such small features to increase the click rates and conversions.
Most customers already have before buying a picture in her mind's eye, it manages a Web site to make this imaginary picture as accurately as possible, you have very good cards at the customer. The potential guest will be eagerly looking forward to a kitesurfing holiday destinations on a website that receives him with impressions of his favorite sport safely continue.
Of course, such methods can subsequently refined and additional information is requested. But as an introduction and to get experience, I believe that this simple model is a start. It is particularly interesting for operators of multiple sites or major portals. In this case, the chance that the visitors have already visited a website operator realtives large. Therefore, it is possible to exchange data between your portals.
bytheway: Even the big ad networks rely on this technique to matching banner ads on the websites display. Due to the very high range could account part of the already good results. It may therefore be due to such tactics if you have visited a website about fly fishing and, subsequently, on a completely different website of the same advertising network, an advertising banner is displayed on fly fishing.
 |  |  |  |  | |||||||||||||||||||||||||||||||||||||||||||
