As far as SEO is concerned, there are many predicted algorithms given by a lot of SEOs. They may be effective for some sites and may not be for some. It is totally confusing for most of SEOs out there. We try things according to experience and Google’s reaction on some sites and predict the possibility.
So regarding consider these issues we have to experiment, and combine it with the SEO knowledge that we previously experienced.
Problems During Experiments on Search Engine:
It is an impossible stuff to take a single global test variable for all type of sites. We can’t make direct clone sites to test, as the similar content algorithm will throw off our statistics. However, if we alter the contents for each test site, we have added in a new variable, and the whole experiment starts to lose it’s reliability. It is a great problem during the experiment on Search Engine.
There are Some Variables that we can Control:
- Anchor text
- Template Design
- Internal/Outbound Links
- Number of Pages
- Link Velocity: Link Velocity is a type measure to calculate how quickly your site gains links, and how many appear each day. It’s best to try and achieve a upward slope, followed by a downward slope.
There are Some Variables we can Tentatively Control:
When and Where the Links to our Site Appear: We can’t predetermine where our links will stick and what will be their internal standings. But we can gain such type of degree of control by being careful about where we try and collect our links from.
Density of Contents and Keyword: There may be several similar content that should rank the same, without setting off ordinary content filters and by this way, We know keyword density is not mature in it’s normal context.- Domain Names and File Names: We can’t have multiple sites using the same domain and expect them to evaluate properly.
How Quickly Links are Discovered: Even if we drop links in the same locations, we have trouble getting Google to find them at the same time.
There are some variables we cannot control: Google’s magic dance that no one really understands (err the unknown elements of the algorithm.)
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