Hello everybody.
The past 6 months I have been working on SEO optimizing of an automated rss site. Now I?m writing this post so others can benefit from the answers and I can get more sides/ideas of the theory I have. I have read a lot of SEO articles, Ebooks etc. and executing the ideas. I got more and more aware of that getting a good ranking is not hard, it's hard staying ranked.
I created a lot of web 2.0 pages (Hubpages, Webpaint, blogger), did bookmarking etc. etc. Focused on our keywords and did all that SEO stuff. It worked like a charm - we ranked high on our keyword and got good traffic. I have done this, as said, for 6 month so I became aware for a certain pattern on G. when we execute a SEO campaign. If I did onpage optimization the first 2-3 days our site completely was remove (or like on page 5-6 on G).When I just did SEO campaigns after 1 week the site was on 1-3 on that keyword and stayed there for some time but slowly decreased.
I saw this pattern or a pattern really close, to this one on MANY keywords! Sites was ?removed?(if I did onpage), then ranked and at last found some sort of steady ranking. I began to wonder why this Dance was happening and what the idea of it was. Surely it's not for the fun of it!
How I think this works: I think G has some sort of try out period when raking a website. So when a hype accurse (Our SEO campaign) G will place the site on the first page and let some searchers go into the site and then judge the site on this happening. So if many of the searchers click back in their browsers quickly after entering your site this is an indication that your sites position on G isn?t optimal (for the searchers), hence the searcher didn?t find what they were looking for. This makes good sense in my mind to judge a site on this.
After following many keywords and phrases in the logs it seems to me like this is somehow a part of the truth cause some the phrases I got traffic from, which had a high ?reject %? (Reject in G analytics) rank decreased on G the higher the reject was.
Does anyone have any experience related to my research?
My next move in this field is to try to do the same thing we have been doing again and try to use different methods to lower the reject %. My thoughts on this:
1. BH ? Write some clever JS that makes it impossible for the user to go back (Risk is high if G spots this, and we can?t have 0% reject cause this would be unnatural so cloaking should properly be involved as well)
2. WH ? writing a script that imports related videos, articles, pirctures to the content so the user wants to stay. (Due to this is auto imported rss and content is short = higher reject / view time per user)
I would love to have a good post about this subject because I really think people could benefit from the knowledge ? so please feel free to ?correct? me if you think I?m wrong or if you think that I have misunderstood something.
And remember ? DO IT! Reading doesn?t make you rich!
Cheers
The past 6 months I have been working on SEO optimizing of an automated rss site. Now I?m writing this post so others can benefit from the answers and I can get more sides/ideas of the theory I have. I have read a lot of SEO articles, Ebooks etc. and executing the ideas. I got more and more aware of that getting a good ranking is not hard, it's hard staying ranked.
I created a lot of web 2.0 pages (Hubpages, Webpaint, blogger), did bookmarking etc. etc. Focused on our keywords and did all that SEO stuff. It worked like a charm - we ranked high on our keyword and got good traffic. I have done this, as said, for 6 month so I became aware for a certain pattern on G. when we execute a SEO campaign. If I did onpage optimization the first 2-3 days our site completely was remove (or like on page 5-6 on G).When I just did SEO campaigns after 1 week the site was on 1-3 on that keyword and stayed there for some time but slowly decreased.
I saw this pattern or a pattern really close, to this one on MANY keywords! Sites was ?removed?(if I did onpage), then ranked and at last found some sort of steady ranking. I began to wonder why this Dance was happening and what the idea of it was. Surely it's not for the fun of it!
How I think this works: I think G has some sort of try out period when raking a website. So when a hype accurse (Our SEO campaign) G will place the site on the first page and let some searchers go into the site and then judge the site on this happening. So if many of the searchers click back in their browsers quickly after entering your site this is an indication that your sites position on G isn?t optimal (for the searchers), hence the searcher didn?t find what they were looking for. This makes good sense in my mind to judge a site on this.
After following many keywords and phrases in the logs it seems to me like this is somehow a part of the truth cause some the phrases I got traffic from, which had a high ?reject %? (Reject in G analytics) rank decreased on G the higher the reject was.
Does anyone have any experience related to my research?
My next move in this field is to try to do the same thing we have been doing again and try to use different methods to lower the reject %. My thoughts on this:
1. BH ? Write some clever JS that makes it impossible for the user to go back (Risk is high if G spots this, and we can?t have 0% reject cause this would be unnatural so cloaking should properly be involved as well)
2. WH ? writing a script that imports related videos, articles, pirctures to the content so the user wants to stay. (Due to this is auto imported rss and content is short = higher reject / view time per user)
I would love to have a good post about this subject because I really think people could benefit from the knowledge ? so please feel free to ?correct? me if you think I?m wrong or if you think that I have misunderstood something.
And remember ? DO IT! Reading doesn?t make you rich!
Cheers