Important Metrics for Backlink Analysis

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Important Metrics for Backlink Analysis
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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.
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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.
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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.
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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.
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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.
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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.
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Citation Flow
It analyzes the incoming equity of each link and
its similar to Googles PageRank. Given a
metric to each link and each contributes to
target page's authority.
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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.
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