|
This is a dataset produced by Keyword SEO Pro for eight keywords. In
previous videos it has been demonstrated that G-Factor-1, the PageRank
of the HomePage of the website is the best parameter available to us
for understanding Google's view of the importance of a page. The averaged
G-Factor-1 results for a keyword is Keyword SEO pros assessment of the
keyword difficulty.
You can calculate the keyword difficulty for a web
page on your website by knowing the G-Factor-1, the PageRank of the
HomePage of your website and the averaged G-Factor-1 for the keyword of
your choice in the top 10 positioned pages for the Google domain of your
choice. I will elaborate on this in a future video.
It has also been
shown that Google must be applying a boost to G-Factor-1 when the page
competing for a keyword is itself a HomePage, and this boost I have
called G-Factor-2.
Some of the cells with the web page PageRanks on the
right are highlighted in pink and this indicates that these pages are
HomePages. Some, but not all, of the cells for the corresponding
G-Factor-1 results on the left are highlighted in green. The green indicates
that this G-Factor-1 has received the G-factor-2 boost.
In this video.
I would like to explain to you how my best estimate of the G-Factor-2
boost has been derived. We now know that Google is providing a boost to
webpages that compete for a keyword if they are themselves the
HomePage.
As the Keyword SEO Pro program developed, I had three options:
- The
first was to do nothing. The problem here is that the average G-Factor-1
would be inappropriately lowered and this might suggest that the keyword
difficulty is easier to overcome than is actually the case.
- The second option was to remove all results if the page involved
is a HomePage.
This would overcome the averaging problem, but would ignore the
G-Factor-2 boost and, on occasion, there might be no results.
- The third
and final option was to try and estimate the value of G-Factor-2 and
add it in to G-Factor-1. This would correct the averages and the potential of
G-Factor-2
would be identified for search engine optimisation purposes.
In Option 1, all the results are presented but no allowance is made for
G-Factor-2, and the average G-Factor-1 must be inappropriately
lowered. falsely indicating that the keyword difficulty is lower than it
actually is. Notes that the G-Factor-1 Keyword SEO Pro's primary indicator for
keyword difficulty is just 1.8 for this keyword. Iin option 2 we have
removed results for G-Factor-1 if the pages in question are HomePages.
The average G-Factor-1 results has increased and if we look at 'hairstylist
Essex' it has gone up from 1.8 with option 1 to 3.2 with option 2. However,
G-Factor-2 is completely ignored, and we have no results at all for
three keywords, because all top 10 pages for these keywords are
HomePages. Interestingly enough, one of these keywords is 'SEO'. As
option 1 and option 2 seemed to have major faults, we now need to give
serious thought to option 3. Estimating a value of G-Factor-2 and
adding it in to the G-Factor-1 value.
You may recall this dataset from the first video on G-Factor-2. The arrows indicate G-Factor-1's of
0, which are clearly out of keeping with the other highly ranked
webpages for these important keywords. Many datasets from Keyword SEO
Pro were assessed, and it became apparent that adding 4 when the
G-Factor-1 is 0 provides the best option. For this keyword, we can see
that adding 4 seems to be an appropriate number. There are times when
adding 4 may seem an underestimate. However, I felt that it is better to
underestimate G-Factor-2 than to overestimate its value.
So would it be appropriate to add 4 whenever we have a HomePage that is the URL in
the top 10 for Google?
Let us look at these examples, where we have a PageRank of 7 and
another of 8. Adding 4 in these situations would give us G-Factor-1s of
11and 12. As there is a maximum
PageRank of 10, it seemed that these figures would not be
appropriate. I therefore decided that we should give G-Factor-2 its value on a sliding
scale type basis. The algorithm developed to define a value for
G-Factor-2 is as follows:
We add 4 but to a maximum combined total of 5. In the page has a
PageRank of zero, it becomes 4. If it is 1, we add 4 making it 5. If it
is 2 we just add 3, if it is 3 we add 2, and if it is 4 we add 1, all
these effectively becoming 5. If
the PageRank of the web page. 5 to 10, then no addition is made.
We can see that for this webpage, it has a PageRank of 3, we add 2 making it
5 and the cell here is highlighted in green to show that in addition has been
made. This webpage has a PageRank of 0, we add 4, bringing it up to a
level of 4. This page has a PageRank of 6; no addition is made and the
corresponding G-Factor-1 cell remains 6 and as no addition has been
made the cell is not highlighted.
Earlier in this video, I showed a typical output from Keyword SEO
Pro, and I indicated that I planned to explain how these figures and the
colour codes were derived. This is the output from Keyword SEO Pro for
these keywords onto an Excel sheet and ideas I have used that
Excel sheet to explain these features. I would add that when Keyword SEO
Pro provides an output for a spreadsheet the colours do not go across. I
have added these colours, just to make things easier to follow.
|
