Hi! I was wondering how you measure the competition or optimization level of a SERP for a given search phrase. Do you have any way of quantifying this or do you use a more intuitive approach?
Since I am new here, it might be that this has been discussed earlier, and in such case I apologize in advance. I have, however, looked around in the forum and haven't been able to find anything that addresses this specifically.
After reading about SEO for a week and a half, here are some of the ideas I have picked up:
1) KEI/KDSI
On numerous websites, and in different software programs I think, they recommend different variations of this concept; i.e. dividing the search volume for your search phrase on the number of URLs in the returned SERPs. The result of this division is then supposed to tell you how profitable the keywords/search phrase is.
The search volume is obviously of crucial importance, but I fail to see how the number of URLs in the SERPs can tell us something about how likely it is that we will succeed or not. According to research by West Point (1997) and eMarketer (2001), 77% of the users do not go beyond page #2 of the SERPs. This means that SERP #3, #4,... should be irrelevant for determining whether one will succeed or not.
If Google reports that there are 3.500.000 URLs that contain your search phrase, it might be easier to get a top placement there if none of the pages are optimized for the search phrase than in a set of SERPs containing only 350 URLs, but where the top pages are highly optimized.
The question, as far as I see, has to have focus on the SERP one wants to be in; i.e. how highly optimized are the URLs in SERP #1.
2) Backlinks
Another method to measure the competition is to count the number of backlinks. This is, in my opinion, a much better approach. Based on research I've read, the number #1 position at Google has on average more backlinks than any other position in the SERP, just like the average #2 has more than nr #3.
However, this is only an average. In a concrete SERP it might be different, since the value of a backlink can vary very much. The value of a backlink, is decided by the anchor text and the amount of
PR it carries (which is determined by the
PR of the page where the link sits, and the number of other outbound links it has to share the
PR with).
When considering whether it is worthwhile to target a SERP for a search phrase, it could be very valuable to be able to determine the optimization level for this phrase more precisely than counting links. Let's say that the top position has 2300 backlinks, but that only 300 of these are relevant for the search term, then maybe instead of trying to secure more than 2300 backlinks for this phrase you could aim for a lower figure which would make the economics of the project completely different (and maybe use the other backlinks to target another search phrase)? But how would you go about to do this? You can't check each link manually. When you start working on acquiring backlinks with the relevant search terms as anchor text, you will discover this by checking your ranking, but it would have been interesting to have an indication in advance.
For me all of the above is theory, so I would be very interested in hearing what you think about this. How do you measure the competition of a SERP for your search phrase before deciding what steps are necessary and whether it is a worthwhile target?