Post by account_disabled on Dec 9, 2023 5:19:35 GMT
Over the next few months we learned a lot about the competition, such as the sophistication of their team (how fast they reacted, how many links they removed, how quickly they recovered), their finances Strength (have they increased ad spending and by how much). and on what terms), and whether they ultimately recover. It's also important to understand Google's broader rationale for specific types of penalties that appear to be sweeping and inconsistent.
Conspiracy theories about the Penguin update abound; I can’t tell you how many C Level Contact List times I’ve heard someone say that penalties were imposed to encourage webmasters to switch. So I decided to investigate post-Penguin webmaster behavior from a macro perspective to determine what kind of reactions we might see and maybe even answer some questions about Google's motivations in the process. Methodology collection example: I collected a list of domain names that were penalized last year and confirmed their penalties. Establish controls: For each penalized site, I identified a top site for the primary keyword that was not penalized.
Get ranking and Data: For each site (including penalized and control sites), from historical rankings and spend forthe months before and after: For each site (including penalized and control sites), We obtained historical link data for the previous and subsequent months. Analytical results: Using simple regression models, we identified patterns among penalized sites that differed significantly from control sites. Will webmasters remove bad links? After updating, bad links must be identified and removed, or at least disavowed.
Conspiracy theories about the Penguin update abound; I can’t tell you how many C Level Contact List times I’ve heard someone say that penalties were imposed to encourage webmasters to switch. So I decided to investigate post-Penguin webmaster behavior from a macro perspective to determine what kind of reactions we might see and maybe even answer some questions about Google's motivations in the process. Methodology collection example: I collected a list of domain names that were penalized last year and confirmed their penalties. Establish controls: For each penalized site, I identified a top site for the primary keyword that was not penalized.
Get ranking and Data: For each site (including penalized and control sites), from historical rankings and spend forthe months before and after: For each site (including penalized and control sites), We obtained historical link data for the previous and subsequent months. Analytical results: Using simple regression models, we identified patterns among penalized sites that differed significantly from control sites. Will webmasters remove bad links? After updating, bad links must be identified and removed, or at least disavowed.