One of the things that a search engine algorithm scans for is the frequency and location of keywords on a web page, but it can also detect artificial keyword stuffing or spamdexing. Then the algorithms analyze the way that pages link to other pages in the Web.
Keyword density is an indicator of the number of times the selected keyword appears in the web page. But mind you, keywords shouldn’t be over used, but should be just sufficient enough to appear at important places. If you find this article interesting you could take a look at the following sites to get an idea of proper build webpages: instant loans and goedkoop lenen
So here it is 5 divided by 100 = .05. Because keyword density is a percentage of the total word count on the page, multiply the above by 100, that is 0.05 x 100 = 5%. The accepted standard for a keyword density is between 3% and 5%, to get recognized by the search engines and you should never exceed it.
The spider then returns all that information back to a central depository, where the data is indexed.
It will visit each link you have on your website and index those sites as well. Some spiders will only index a certain number of pages on your site, so don’t create a site with 500 pages!
The first step to sales when customers visit your site to see the products they were looking for. Of course, search engine optimization and better rankings can’t keep your customer on your site or make them buy. The customer having visited your site, now ensure that he gets interested in your products or services and stays around.
You can send email to your existing clients and ask them to complete a survey or even while they are browsing on your website. Ask them about their choices. Why do they like your products? Do you discount prices or offer coupons?
When you ask a search engine to locate information, it is actually searching through the index which it has created and not actually searching the Web. Different search engines produce different rankings because not every search engine uses the same algorithm to search through the indices.
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