Series of Panda Changed Whole Things in SEO & SMO (The things which was beneficial before – today they Can outrank you from search); Few things I written about Google Panda and My observation. After that ongoing work of search marketing, I realize again few things which creating obstacles in front of us relates to Link Spams effect by Google Panda.
So the few things I want to put infront of you; regarding how SEO ecosystem changed due to Panda and subsequent algorithmic changes done by Google.
So Few Observation on Links and SEO campaign – How a Link or Keywords detected as SPAM or not trustworthy.
Detection of SPAM
Case I : Few Keywords Selection / Backlink Issue
How Google Crawlers detect your site comes under spam; just a thought your webpage which can be searched by an N set of Keywords and Your current set of Keywords is equal to certain % of N.
N= No of Keywords
B = Backlinks
S = Spam Constant (let’s assume 10)
B/N > S is under comes in Spamm
e.g : You taken 5 keywords and backlinks is 100 so
100/5 = 20, hence 20 is greater than 10, so sites comes under SPAMM
** So we have to decrease Spamm Detection put more keywords in Lobby.
Case II: Few Page Selection Issue / Backlink Issue
Its just as a you have a set of many rooms but you showing only one doors, so if the few pages with more backlinks and other pages in your websites have less compare to others it comes under spamm detection.
T.P = Total Pages
L.P = Linked Pages
S = Spamm Constant (let’s assume 10)
T.P / L.P => S is under comes in Spamm
e.g: You have 100 Pages in site and you have only 10 Linked Pages
100/10=10. So greater than equal to 10; so spamm rules applies.
Case III: Spam Links detection in Forum, community, etc..
Interesting one to detect spamm in forms, group, and community. Google search Algo detect how many keywords found in any community and also detect what are the common keywords you generally put as primary anchor, and this primary anchors leads to generate backlinks from other members so all the post relates those keywords as treated low weight and spamm rules applies.
T.P = Total Posts in Community
K = Number of Keywords used in Community
S= Spamm Constant
S = T.P / K ; so which keywords have greater than “S” appearance things comes under in Spamm
e.g: 1000 posts in community and 90 keywords used by overall members
So
1000/90 = 11.11 so those keywords whose occurrence is greater than 11.11 is comes
Case IV: Spamm Detection in Link from similar domain
In this case if so many links comes from same domain and after a certain amount of number exceeded it comes under spamm.
B = Backlinks
L = Linking Domains
S = Spamm Constant e.g: 10
If B/L > S ; spamm applies
e.g : You have 1000 Backlinks and your link come from 90 sites
So: 1000/90 = 11.11
Conclusion: if link from same domain comes more than a given spamm constant its treated as spamm.
Final Conclusion :
- Linked Needed with Diverse Anchor Text
- Link from Diverse Domain
- Link also from Non-Popular Keywords
- Links For Diverse Pages
Things To Think:
- Nature of web content
- Boilerplate content
- transient content
- Crawl Budget
Solution: Content Curation, Change the Nature of Content, Link Baiting Content, Embbeded Content, Inforgraphic Content, all other new content ideas , PPT, Videos etc, Non Conventional Source of Links ..
Let’s Move to some other factors of 2012 search prediction
- SEO without Social Media will become a Relic of the Past (SEOMOZ) (Social SEO)
- Mobile Traffic & searches
- RICH SNIPPETS, Microdata, Structured Data , schema.org
- Content Curation, Content Creation techniques
- Visual graphics, infographics, and embedded contents
- Site Speed, Site Clickthrough, Bounce Rate, Visitors Diversity Data
- Geo Locations services, social profile engagements & backlinks
- Feed Aggregations , RSS, News, Mirco Blogging Engagements
- Authority, Trust Marker Mechanism, Affiliations, associations, review, trust
*** Above Concept : Not Part of Google or Any search Prediction Algo – Just Initiative to better Understand SEO Ethics.
Sujit Kumar Lucky : Follow Me on @sujit_kr_lucky
