Aug 20
Nihuo Web Log Analyzer adds new support to below languages:
Three language files are updated.
Download link to new language files are available in http://www.loganalyzer.net/localization.html
Search engine play more and more important role in Internet. When a potential visitors want to find something on the web, he will look to a search engine such as Google, Yahoo and Bing. This makes it imperative that your site get ranked high enough for important keywords that visitors can find it. Knowing what keywords are important means knowing what visitors are looking for when they find your site.
Using Nihuo Web Log Analyzer, you can find out what engines, phrases and keywords visitors are using to reach your site and produce reports to help you improve your site content and search engines listings. Each search engine will offer links to your site for certain keywords or phrases. When a visitor types these phrases your link will be given, along with many others.
To view search engines report of your web site, go to reports under Search Engines.
To view landing page report of your web site, go to reports under Search Engines > Top Searched Files.
| Knowing what search phrases folks use to find your web site is one thing. Knowing what they are really looking for is quite something else. Visitors type keywords into search engines they think will find the page they want. The pages of results might or might not contain what they’re looking for. When a searcher immediately clicks the “back” button, it may suggest that the search phrases is not as relevant to your landing page as previously supposed. You need carefully research phrases which is with high bounce rate, try to find out what are they really looking for, and adjust landing page or create a new page to match the search phrase with lower bounce rate. To view bounce rate of search phrases of your web site, go to reports under Search Engines > Top Search Phrases. |
 |
You know that when you submit a Web page to an engine for indexing, the engine sends a spider to your site to index the contents of the page. “Spider analysis” is simply analyzing the search engine spider visits to your site.
With powerful filter function of Nihuo Web Log Analyzer, you can learn the following information about your site in a concise, easy-to-read format through effective spider analysis.
| You can track phrase which visitor search in your internal site search engine with Nihuo Web Log Analyzer.
Please follow below guides step by step to add your site search engine url into search engine configuration list:
|
 |
Two entries you will often see near the top of your 404 Errors report are /robots.txt and /favicon.ico.
The robots.txt file is something that well-behaved robots or spiders check to see what parts of your site they are allowed to index. You can find complete details on how to set up your site with robots.txt inhttp://www.robotstxt.org/robotstxt.html.
Microsoft Internet Explorer 5 introduced a new technique to allow you to customize the icon that your visitors see when they save links to your
site. IE 5 and later (and now Konqueror and perhaps other browsers) look for a file called favicon.ico on your web server when the user bookmarks a page on your site or saves a link to it on her computer. IE looks first at the root of your site (/favicon.ico) then in the directory
where the page is located. If you create an icon in the root of your site it will be applied to all pages. If you have one in a particular directory, then each directory can have its own icon. You can find complete details on how to set up your site with favicon.ico in http://en.wikipedia.org/wiki/Favicon.
404 Errors report is under Errors > 404 Errors.
If you have setup an agreement with partner web sites to allow them to include references to your graphics and other files in their site (for example, linking to your logo to promote your product or linking to your advertisements to host on their sites) Nihuo Web Log Analyzer will not
recognize this and these will show up in the Stolen Object report.
The Domains Stolen Object report only shows you when other sites include references to graphics or other non-page files on your site. If a malicious user really wants to steal your files without you knowing she can simply save the file to her computer and copy it to her web site.
Saving a file produces the same request that viewing it in the first place does (in fact web browsers just make a copy of the file they have
already cached, so you never get a request for the ‘save’ action if the file was already viewed.) This behavior is effectively impossible to detect.
Stolen Object report is under Resources Accessed > Stolen Object.
| Many server issues are best diagnosed with network and process monitoring tools. There are a number of good ones available for all platforms, both commercial and free. However, some server diagostic information can be gathered from your web site logs using Nihuo Web Log Analyzer. |
 |
Your web site probably has a limited available bandwidth for connecting with visitors. There may be times, say during a promotion or a product release, when your bandwidth usage is well above normal. Most service providers will allow you to ‘burst’ well beyond your average usage to handle times such as these. However, if your monthly usage typically exceeds your contractual allowance, you could be paying more for connection than you need to be. The solution to this is to either increase your contract quota with your provider or determine where the bandwidth is being consumed and alter the site to reduce the amount of bandwidth required to present the information you need.
Server attacks are worm or virus attacks as well as unauthorized users trying to gain access to protected directories. A common server attack is a request to the “cmd.exe” file caused by the Nimda or the Code Red virus present on a Windows machine. If the machine is on a local network, you can find out which machine it is on and inform the network administrator. If this file was requested from the Internet, you can do a DNS lookup through the program or do a Whois lookup (using www.allwhois.com or www.arin.net ) to find out who this comes from. If you can find out where the request came from, you can inform the originator of the virus on their server. These requests usually cause many 404 (File Not Found) errors in your log files. If you find successful accesses to the file cmd.exe on your Windows Server, your server is probably infected.
Server Attack report is under Server Attack > Server Attack.
Everyone knows how annoying it can be having to deal with websites that take forever to load. There are recent researches, in fact, confirming that 75% of the Internet users do not return to sites that take longer than four seconds to load.
In order to minimize loading time for fast user experiences, you need find out which page waste most time of your server.
If your web server is IIS, please ensure export time-taken field in your
log files.
If your web server is apache, Here’s a simple trick to track time taken data:
CustomLog log/access_log timetakenlog
Loading time report is under Resources Accessed > Time Taken.
The internet is a fast-paced environment. People can come to your website at any hour from a wide range of locations, each of them with different intentions or needs. Unlike physical retail stores, you can’t see who is coming in and browsing around. You don’t know much about the
people reading you.
You already get a glimpse of visitors everyday when they interact with your website. Some may register for an account, leave a comment or send
you an email. But many are ‘invisible’. They get to your site, see what you put out, click on a outbound link and disappear.
What you currently know about these individuals comes from a combination of visible user actions (e.g comments/emails) and statistics (e.g visit frequency/visit length). Is this knowledge sufficient for most businesses? Yes. But I think it would be tremendously helpful to learn even more about your visitors.
It is helpful to analyze and construct a general profile of your visitors, however shifting it may be, because it provides you with information that will allow you to better improve your content scope, site usability, conversation rate or marketing campaign.
Before analyzing visitor behavior, activities caused by spiders, bots and stolen object need be excluded to avoid noise.
To exclude invalid activities:
Nihuo Web Log Analyzer provide a lot of information on how visitors are using your website, where they come from and what they are looking at. There are obviously a lot of different metrics to look at but I’m listing what I think is more relevant to understanding visitors in general:
1. Bounce RateUnderstanding bounce rate is an important aspect of analyzing your overall statistics, especially when it comes to determining the effectiveness of an individual page. The bounce rate measures the number of visitors to a website that leave before a specified amount of time has elapsed (this time period varies among analytics tools, but typically it is 30 minutes). This means that if a user accesses your site and leaves it within 30 minutes or leaves their browser idle for that time, they will be registered as a bounce. The bounce rate for an individual page of a website is etermined by the number of users that access a page and leave the site without clicking to another page within the specified time period. |
 |
It is really hard to get a bounce rate under 20%, anything over 35% is cause for concern. Generally a bounce rate less than 50% is considered
ok. This is based on our experience, but hopefully it gives you a feel for what you are shooting for.
One thing to keep in mind is that your expectation for meeting the standard on any given page of your site should also be measured against
the entrance sources for that page. Depending upon how a user is referred to your site, his or her understanding of the relevance of your
site’s content to their query will vary quite a bit.
To view the bounce rates for your website and the bound rate of each page on your site, go to the Bounce Rate report under Resources Accessed > Bounce Pages > Top Bounce Pages.
Below are other reports which are include bounce rate information.
 |
2. Visitor LocationThis allows you to make cultural and linguistic assumptions of your visitors. If you know you receive the most visitors from a few specific countries, you might want to create landing pages/offers or content with a geographic focus. If you geo-target your site, it makes your business look like it is there to serve the specific location of your visitor. |
To view visitor location of your website, go to reports under Resources Accessed > Visitor & Demographics.
3. Search PhraseThis includes both search engines and on-site search boxes. The clearest indicator of visitor interest, search terms tell you what they want to get from your site and it reveals information gaps you can fill up. This To view search phrases of your website, go to Top Search Phrases reports under Search Engines > Top Search Phrases > Top Search Phrases. |
 |
 |
4. Traffic SourceThis includes search engines, referrer sites, type-in/bookmark traffic and ad campaigns. Pay attention to referrer sites: it reveals what visitors are reading or using. Traffic sources also tell you where to improve for greater visibility. It is not just about the amount of traffic but the quality of the traffic. |
Let’s look at the ways you can determine the quality of traffic using your website analytics. Here are a couple of key metrics you need to pay
attention to:
To view traffic sources of your website, go to reports under Referrers and Search Engines.
| Visitor Path is a process of determining a sequence of pages visited in a visitor session prior to some desired event, such as the visitor purchasing an item or requesting a newsletter. The precise order of pages visited may or may not be important and may or may not be specified. In practice, this analysis is done in aggregate, ranking the paths (sequences of pages) visited prior to the desired event, by descending frequency of use. The idea is to determine what features of the website encourage the desired result. “Fallout analysis,” a subset of path analysis, looks at “black holes” on the site, or paths that lead to a dead end most frequently, paths or features that confuse or lose potential customers.
To view visitor path of your website, go to reports under Resources Accessed > Paths Through. |
 |
While this isn’t an exhaustive list, you will find other ways to get more visitor data. When combined with other visitor statistics, it’s easy to understand your visitors, allowing you to better accommodate their needs or interest.
 |
Filters hold the key to unlocking the power of Nihuo Web Log Analyzer. Understanding how filters work will help you to get the most out of your
reports. Filters allow you to limit the scope of Nihuo Web Log Analyzer’s analysis to specific parts of your site, providing only the most important information in reports to make reports more readable or relevant.
Filtering or excluding certain data from your reports is important to ensure your data reports are accurate. If you want to measure performance
of your promotion plan and you do not set up any filters, all those visits from your web team are going to have a negative effect on the reported data. Generally it is a good idea to filter as many known people and domains as possible to ensure the reported data is as accurate as possible.
You can create extra profiles of the same website and filter specific traffic to only appear in all reports of that profile.
Nihuo Web Log Analyzer provides two filter types: Hit Filter and Visit Filter.
Hit filters include or exclude raw data generated by individual actions on a web site.
Visit filters include or exclude all the data in a visitor session.
Multiple filters can be combined in a profile with boolean operator ( AND, OR , NOT ).
Here’s the correct list for all the currently available filters and how Nihuo categorizes them.
For step-by-step instructions on creating filters, please refer to http://loganalyzer.net/tutorial.html#filter.
Nihuo Web Log Analyzer support using wildcards in hit parameters.
Here are the wildcards supported by Nihuo Web Log Analyzer:
|
Wildcard
|
Matches
|
|
?
|
any character (only one) |
|
*
|
zero or more characters (any characters) |
Let’s say you want exclude all files and subdirectory below /admin/ from reports.
Just create exclude Requested File hit filer and input below parameter:
Let’s say you have several files on your website:
file2.htm
file3.htm
file35.htm
Let’s say we use this wildcard file name:
The ? matches a single character. The wildcard file name above means
“match any filename which starts with file, is followed by a single character, and then the .htm extension follows”. This wildcard will select:
file2.htm
file3.htm
… but it will NOT select:
because it has two characters, instead of one, between file and .htm.
But if you specify the wildcard:
then only
will be selected, because the wildcard file name specifies that there must be 2 characters between file and .htm
For more detail information about wildcards, please refer to http://www.loganalyzer.net/log-analysis-tutorial/how-to-use-wildcards.html
If you want to exclude spiders and bots traffic from appearing in your reports, you can use spider hit filter to filter out visits from spiders and bots.
To exclude spiders and bots:
You may also use agent filter to filter out visits from particular spiders and bots which aren’t recognized by Nihuo Web Log Analyzer.
For example: exclude agent string “Microsoft Data Access Internet Publishing Provider DAV 1.1″
If you want to exclude internal traffic from appearing in your reports, you can filter out a specific IP address or a range of IP addresses. You can also use cookies to filter out visits from particular users. We’ll explain how below.
To exclude by IP address:
To exclude traffic by Cookie Content:
To exclude traffic from dynamic IP addresses, you can use a JavaScript function to set a cookie on your internal computers. You’ll then be able to filter all visitors with this cookies from appearing on your Analytics reports. How to exclude traffic by cookie:
var today = new Date();
var expire = new Date();
if (nDays == null || nDays == 0)
nDays = 1;
expire.setTime(today.getTime() + 3600000 * 24 * nDays);
document.cookie = cookieName + “=” + escape(cookieValue) +
“; expires=” + expire.toGMTString();
}
</script>
(Please note you must ensure cookie field had been exported in log files.)
You are currently browsing the archives for August, 2009
