1 / 10

Important Metrics for Backlink Analysis

Want to do backlink analysis for website? Here are 8 metrics that helps you to do a backlink analysis in more proper, easy and accurate way. Click here for more info: http://www.blurbpoint.com/remove-unnatural-links.php

blurbpoint
Télécharger la présentation

Important Metrics for Backlink Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Important Metrics for Backlink Analysis

  2. Unique C-class IPs Two different links that share the same C-class IP address are not as strong as two links that have different C-class IP addresses. They are on the same server When different domains share the same C-class IP. For better backlink profiles use different C-class IPs.

  3. Total Linking Domains It is similar to the C class IP metric. Looking at the number of links that comes from unique domains. It can articulate the involved entities.

  4. Ratio of Link Distribution Generally, most of backlinks point to the home page of website. It is the total backlinks pointing to the homepage to the total backlinks pointing to the all other pages. The ratio of link distribution is must be balanced.

  5. Exact Match Anchor Text in % Exact match anchor text means put the links on anchor text that exactly match the optimized keyword. Exact match % was used in the first iteration of Penguin to identify manipulative link patterns.

  6. Domain Authority (DA) DA is the known metric by moz. DA is for whole domain and its rank 1 to 100. Its own and managed by moz and it has combined all of other metric into one domain wide metric.

  7. Page Authority (PA) PA is also owned by Moz and its combines many of the same data sets that DA uses. The DA is for domain where the PA is for particular page.

  8. Citation Flow It analyzes the incoming equity of each link and its similar to Google’s PageRank. Given a metric to each link and each contributes to target page's authority.

  9. Trust Flow This metric is based on a data set of hand curated domains that reflect trust and it also is similar to PageRank. It is calculated by analyzing the relation between the target page and domain in the data set.

  10. PPT Created By: Blurbpoint Media – Ethical SEO Firm

More Related