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

1. Important Metrics for
Backlink Analysis

2. 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.
Unique 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