Google Panda Update Notes

  • The affected sites seen so far have seen little recovery.
  • Subdomains are handled separately. According to reports, a website replaced high-quality content with sub-domains to restore rankings.
  • Panda is targeting websites like content farms, but there are a lot of manslaughters.
  • Mainly related to content quality and user experience, such as the proportion of ads in the page may be one of the indicators.
  • The Panda update algorithm refers to manual quality checks and user browsing data to form patterns through machine learning.
  • There is an 84% overlap with Chrome users who block site data verification.
  • Instead of continuous adjustments, a batch (and possibly even a manual) like the previous Google Dance starts the calculation.
  • Panda penalties are based on pages and columns, not the entire domain name. Some pages/columns may be penalized in the same domain name.
  • The low-quality content in the column is increased, and the pages under the entire column are affected.
  • There are no minor penalties and severe penalties. Either punished or not punished.
  • A single page with low quality is less likely to be penalized. Accumulating multiple pages with low quality results in similar penalties for similar pages.
  • The columns are considered to be of low quality and individual high quality pages in the columns are also affected.
  • The domain name with high quality of the external chain is raised by the threshold of Panda’s punishment, and the probability is lowered.
  • Panda penalizes the page, regardless of keyword. All keyword rankings have declined.

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