From 76 LPM to 763 LPM With GSA Search Engine Ranker Using A Simple 12 Hours Process!

In this post, I will be testing how efficient list filtering is when used on projects building non-contextual links.

So, How Am I Going To Do This?

As this strategy is mainly based around keeping a super clean list to get GSA SER to post at crazy fast speeds I plan to use projects based around the blog comment, guestbook and image comment platforms to measure the links per minute improvement at various stages of the process of filtering your list.

I am fully aware that different people track the performance of GSA Search Engine Ranker in different ways with some preferring the links per minute metric and some preferring the verified per minute metric I created this post to explain my thoughts on metric tracking and how all three of the metrics are actually useful depending what you are doing with SER..

I plan to use a premium list at three different stages of being filtered as well as sharing the total link count each evolution of the list contains with you.

The first list is exactly as the list comes from the premium list service provider, I will literally map the identified folder to the location of the premium list folder and tell my test GSA Search Engine Ranker projects to only pull their targets from that folder.

Click Here To Reveal The Link Count For The Unfiltered List!

The second evolution of the list will be filtered to platform level, meaning I will remove all of the engine files that are not related to the platforms being testing. This leaves up with all engine types from the premium list that belong to the blog comment, guestbook and image comment platforms.

Click Here To Reveal The Link Count For The Platform Level Filter!

The third and final evolution of the premium list is the one I made as the example list for my tutorial on how to filter your own lists. Now I want to clarify a few points quickly regarding this list. Firstly, this list was created in only 12 hours as an example for my tutorial meaning its link count is not fully built out and you can expect many more link targets and domains if you let your filtering projects run longer. Secondly, even though this list only contains 12 hours worth of filtered targets this will not impact the speed it can kick out in anyway as to GSA SER a target it a target and as long as your project is set up to allow reposting to a target then SER will post.

Click Here To Reveal The Link Count For The Fully Filtered List

Regarding the actual project settings, I plan to use the exact same highly optimized template designed for posting as many blog comments, guestbooks and image comments as humanly possible as fast as possible. I use this exact same template on some of my live link building projects as a tier three to build out as many potential ways for search engine spiders to find a path up my pyramid as possible to index my tier one and tier two contextual links for me.

All Three lists will be using 25 projects made from the exact same project template. After 1 hour the links per minute will be recorded before each project is completely reset before having the next list loaded into them to keep the test as fair as possible. All 25 projects will be set to submissions only to prevent them randomly going into verification mode and all captchas will be solved by just GSA Captcha Breaker.

I know that 1 hour is not a very long time period but I feel it will be enough for the lists to provide enough data to formulate an opinion on.

A Little Prediction

Based on the theory I shared in this post about how GSA Search Engine Ranker pulls its targets from its site lists I expect there to be a variation in the number of links per minute each list can reach that is directly related to the total number of URLs held on that list.

So, with that being said, I predict the final order of the lists in regards to the links per minute they can reach will be as follows.

  1. The Fully Filtered List.
  2. The Platform Filtered List.
  3. The Unfiltered List.

The Results Are In

The Unfiltered List

GSA Search Engine Ranker projects posting with an unfiltered premium list.

As you can see the totally unfiltered list resulted in 75.77 links per minute after being left to run for an hour at 1800 active threads with a total target submissions count of 3621 for the hour meaning the tool was running at an average of 60.35 submissions per minute throughout the hour.

The Platform Filtered List

GSA Search Engine Ranker running a premium list filtered to platform level

As you can see the platform filtered list resulted in 142.24 links per minute after being left to run for an hour at 1800 active threads with a total target submissions count of 8855 for the hour meaning the tool was running at an average of 147.58 submissions per minute for the hour.

The Fully Filtered List

GSA Search Engine Ranker posting with a fully filtered premium list

As you can see the fully filtered list resulted in 763.33 links per minute after being left to run for an hour at 1800 active threads with a total target submissions count of 53608 for the hour meaning the tool was running at an average of 893.46 submissions per minute for the hour.

Here are are the results for the test in descending order for ease of viewing.

GSA Search Engine Ranker Results

What I Make Of It All

I have a little confession to make, I carried out a private case study very similar to this a few years back and developed my filtering method from my findings so I had a good idea as to how the three different lists would perform. As I expected they ranked in the same order I predicted earlier.

If we use the unfiltered list as a baseline of 75.77 links per minute and 3621 submissions per hour then we can work out that the platform filtered list with its 142.24 links per minute and 8855 submissions per hour has an 87.23% increase in links per minute as well as a 144.55% increase in submissions per hour!

We can also work out that the fully filtered list with its 763.33 links per minute and 53608 submissions per hour has a 436.65% increase in links per minute as well as a 505.4% increase in submissions per hour when compared to the platform filtered list and a staggering 963.33% increase in links per minute as well as a 1380.48% increase in submissions per hour when compared to the unfiltered list!

My findings suggest that taking 30 seconds of your time even just to platform filter your list to make sure only platforms that your projects will use are in the folder your live projects will pull their targets from can get an increase in links per minute of at least 87.23%! Not a bad return for 30 seconds of your life! If you want to knock it up another notch then you can complete a full list filter and potentially increase your links per minute by a minimum of 963.33%!

I hope this has helped hammer home the importance of filtering your lists. I know people use GSA Search Engine Ranker for a number of different things but if you are interested in mass automated link building at the speed of light then I see no reason you would not have list filtering as part of your maintenance.

AdminRSSNews

MBA candidate at @tuckschool of business at dartmouth. lover of huskies, the ocean & boston sports. hoya saxa!