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:

1.  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.
2. 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.
3. 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.