Google algorithm details - SEO

1. 1 ) Panda : Algorithm
Date: February 24, 2011
Hazards: Duplicate, plagiarized or thin content; user-generated spam; keyword stuffing.
1 ) Poor user Experience - Relevancy ( example - sports shoes ) -
website design - should be user friendly , layout of website
2) Duplicate content :
URL Cano , same web duplicate content could be possible.
A canonical link element is an HTML element that helps webmasters prevent duplicate content
issues in search engine optimization by specifying the "canonical" or "preferred" version of a
web page
3) ,Plagiarism - Content spin , Content idea
4) Thin content : particular web page : short article, space blank ( it kills user experience , will
increase bounce.)
5) keyword stuffing : panda will analyse your content (using multiple keywords in same article )
How it works: The Panda algorithm update assigns a so-called “quality score” to web pages.
This score is then used as a ranking factor. Initially, the effects of Panda were mild, but in
January 2016 it was permanently incorporated into Google’s core algorithm.
2) Penguin : Algorithm
On September 23, 2016 Google announced that Google Penguin Algorithm
How it works: Google Penguin’s objective is to down-rank sites whose backlinks look
unnatural. This update put an end to low-effort link building, like buying links from link farms and
PBNs.
1) , Link schemes - Link development , acquisition or purchase of backlinks from low quality or
unrelated websites, & also spam links.
Link schemes:
Any links intended to manipulate PageRank or a site's ranking in Google search results
may be considered part of a link scheme and a violation of Google's Webmaster

2. Guidelines. This includes any behavior that manipulates links to your site or outgoing
links from your site.
Link schemes examples:
● Buying links.
● Selling links.
● Offering incentives – cash or otherwise – in exchange for links.
● Excessive link exchanges (keyword being “excessive”)
● Using software or other automated programs to create links.
● Paid advertorials with links.
● Low-quality web directories.
● Low-quality bookmark sites.
2 ) keywords stuffing - populating a webpage with large number of repetitions of keywords
in an attempt to manipulate rank via the appearance of relevance to specific search Phrases
3 ) Hummingbird : Algorithm
Date: August 22, 2013
Hazards: Keyword stuffing; low-quality content.
● How it works: The Hummingbird algorithm helps Google better interpret search
queries and provide results that match searcher intent (as opposed to the individual
terms within the query). While keywords continue to be important, the Hummingbird
algorithm makes it possible for a page to rank for a query even if it doesn’t contain the
exact words the searcher entered. This is achieved with the help of natural language
processing that relies on latent semantic indexing, co-occurring terms and synonyms.
Hummingbird algorithm did not appear to have drastic negative impact
on general webs
Part of Google Core Algorithm
Impact of hummingbird algorithm - hummingbird algorithm works on user intent & its real time
Algorithm.

3. User Intent : Hummingbird algorithm work on user intent & show results
1 ) Coffee
2) Coffee Shop - Google my business Local Listing
3) Knowledge Graph : Bobby Singh , Sachin Tendulkar - Real time
Semantic Searches : Buy Shoes

4. Local Search : Coffee shops near me : intent
Google My Business
Voice Search : Long tail keywords
Hummingbird algorithm understands the user voice search intent because voice searches are
lengthy ( Long ) .
4 ) Mobilegeddon ( Google Mobile ) : Google Algorithm
On April 21, 2015, Google rolled out their mobile-friendly update
Google released a significant new mobile friendly ranking algorithm that Designed to give a
boost to mobile friendly pages in Google mobile search Results. Mostly Called : Mobilegeddon
,Mobilepocalypse , Mopocalypse , Mobocalypse.
Accelerated Mobile Pages : AMP
Google Goes mobile first

5. 5 ) RankBrain : Algorithm :
Lack of query-specific relevance; shallow content; poor UX
RankBrain is a system by which Google can better understand the likely user intent of a search
query. It was rolled out in the spring of 2015, but not announced until October 26 of that year
CTR , Dwell time
Session Duration:Dwell Time : Dwell time is the time that a Particular user spends on your
website or web page.
Bounce rate : Bounce rate is an Internet marketing term used in web traffic analysis. It
represents the percentage of visitors who enter the site and then leave rather than continuing to
view other pages within the same site
& More Do your own research
Organic CTR : CTR is the number of clicks that your ad receives divided by the number of
times your ad is shown: clicks ÷ impressions = CTR. For example, if you had 5 clicks and 100
impressions, then your CTR would be 5%.

6. Article Title , Meta Description & URL

7. 6 ) The EMD Update in 2012
The EMD Update — for “Exact Match Domain” — is a filter Google launched in September 2012
to prevent poor quality sites from ranking well simply because they had words that match search
terms in their domain names. When a fresh EMD Update happens, sites that have improved
their content may regain good rankings
The intent behind this update was not to target exact match domain names exclusively, but to
target sites with the following combination of spammy tactics: exact match domains that were
also poor quality sites with thin content.
https://digitalmarketingcourse.com/
https://socialmediamarketingcourse.com/
Note : Before this update Google was giving preference to the EMD domain , If the user query
matches with your domain then Google Will rank your website.
7 ) BERT Algorithm : Bidirectional Encoder Representations from
Transformers.
Date: October 22, 2019 Hazards: Poorly written content; lack of focus; lack of context.
Natural language processing / Understanding Long tail keywords.
When people like you or I come to Search, we aren’t always quite sure about the best way to
formulate a query. We might not know the right words to use, or how to spell something,
because oftentimes, we come to Search looking to learn--we don’t necessarily have the
knowledge to begin with.
At its core, Search is about understanding language. It’s our job to figure out what you’re
searching for and surface helpful information from the web, no matter how you spell or combine
the words in your query
Example : By red Leather shoes on Amazon under 3000
So the Bert Algorithm role was to Encode ( understand the meaning ) the user long search
queries & give them exact result what they are looking for.Understanding searches better than
ever before.

8. Buy sports shoes on flipkart : Example
Buy Sports red shoes on flipkart : Example with Red