What is Career360.com, Reviews, Rating, Revenue Model

What is Careers360.com?

Career360 - A Career is a Life - Wishusucess

A data-enabled and technology-driven Educational Products and Services Company, Careers360.com seamlessly integrates millions of student and institutional data points with the user-generated preferences of its more than 15 million+ monthly visitors, to build sophisticated Prediction and Recommendation products for the students to explore and achieve career plans, based on their interests and abilities.


Revenue Model

  • Google Ad Sense
  • College Advertisements on their Website
  • Banner, Poster of the College on their website

Careers360 is a data driven educational products and services company. The registered company or the parent company owning the brand Careers360 is Pathfinder Publishing Private Limited (PPPL). PPPL originated with print media when it launched Careers360 English magazine in 2009, followed by the Hindi version in 2010. So, like any other print media, the B2B revenue is through advertising, and B2C revenue through the sale of magazine from stands and annual subscriptions. The majority of advertisers on Careers360 are educational institutions, coaching institutes and education loan provider banks or financing companies.


Company Details:

Company Name: Pathfinder Publishing Pvt Ltd.

CEO of Careers360: Maheshwer Peri

Facebook Page: Careers360

Instagram Account: Careers360

Twitter Account: Careers360

LinkedIn Account: Careers360

Alexa Global Rank: 2927

Alexa India Rank: 262

Revenue Per Year: $6M


About CEO: Maheshwer Peri

A passionate entrepreneur, Mahesh is a qualified CA, CMA and ACS. He started his career as an investment banker with SBI Capital Markets. He was associated with the Outlook group for 17 years and headed it for more than 10 years. Mahesh believes that the demographic dividend India seeks can turn into a nightmare if youth are not shown the right direction to maximize their capabilities. CAREERS360 is the result of his deep understanding of student issues, and the information gaps that need to be filled to help students take an informed career decision.


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What is Collegedunia.com, Revenue Model

What is Collegedunia Search Engine?

Collegedunia.com is an extensive search engine for the students, parents, and education industry players who are seeking information on higher education sector in India and abroad. One can rely on Collegedunia.com for getting most brief and relevant data on colleges and universities.

Collegedunia.com Website Details

Students can use Collegedunia.com as one stop destination to search about their dream college, available courses, admission process and lots more interactive tools to simplify the process of finding alma-mater. The website has the repository of more than 20,000 colleges and 6000 courses categorized in different streams like Management, Engineering, Medical, Arts and much more. One can classify colleges on the basis of location, ranking, ratings, fees and cutoff for different competitive exams.


Revenue Model

CollegeDunia earns revenue combination of lead generation (CPL) and banner ads. When a student apply to a institute through CollegeDunia and get admission into it, they receive a certain amount from the college authorities. Every month, the education portal get hits over 1 lakh and the traffic is increasing day by day.


Company Details:

Collegedunia Founder Name: Sahil Chalana

Company Info: Collegedunia Web Pvt. Ltd.

Founded Year: 2013

Facebook Page: Collegedunia

Twitter Account: Collegedunia

Alexa Rank: 2,236 Global Internet Traffic

Alexa Rank: 248 India Rank

Daily Unique Visitors: 131,731

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How Do Search Engines Work | How Google, Yahoo, Bing Works

Have you ever wondered how many times per day you use Google or any other search engine to search the web?

Is it 5 times, 10 times or even sometimes more? Did you know that Google alone handles more than 2 trillion searches per year?

The numbers are huge. Search engines have become part of our daily life. We use them as a learning tool, a shopping tool, for fun and leisure but also for business.

Search engines are complex computer programs. It depends on the three processes: crawling, indexing, and ranking that search engines use to display search results to their users.

Before they even allow you to type a query and search the web, they have to do a lot of preparation work so that when you click “Search”, you are presented with a set of precise and quality results that answer your question or query.

What does ‘preparation work’ includes? Three main stages. The first stage is the process of discovering the information, the second stage is organizing the information, and the third stage is ranking.

This is generally known in the Internet World as Crawling, Indexing, and ranking.

Step 1: Crawling

Search engines have a number of computer programs called web crawlers (thus the word Crawling), that are responsible for finding information that is publicly available on the Internet.

To simplify a complicated process, it’s enough for you to know that the job of these software crawlers (also known as search engine spiders), is to scan the Internet and find the servers (also known as webservers) hosting websites.

They create a list of all the webservers to crawl, the number of websites hosted by each server and then start work.

They visit each website and by using different techniques, they try to find out how many pages they have, whether it is text content, images, videos or any other format (CSS, HTML, javascript, etc).

When visiting a website, besides taking note of the number of pages they also follow any links (either pointing to pages within the site or to external websites), and thus they discover more and more pages.

They do this continuously and they also keep track of changes made to a website so that they know when new pages are added or deleted, when links are updated, etc.

If you take into account that there are more than 130 trillion individual pages on the Internet today and on average thousands of new pages are published on a daily basis, you can imagine that this is a lot of work.

Why care about the crawling process?

Your first concern when optimizing your website for search engines is to ensure that they can access it correctly otherwise if they cannot ‘read’ your website, you shouldn’t expect much in terms of high rankings or search engine traffic.

As explained above, crawlers have a lot of work to do and you should try and make their job easier.

There are a number of things to do to make sure that crawlers can discover and access your website in the fastest possible way without problems.

Use Robots.txt to specify which pages of your website you don’t want crawlers to access. For example, pages like your admin or backend pages and other pages you don’t want to be publicly available on the Internet.
Big search engines like Google and Bing, have tools (aka Webmaster tools), you can use to give them more information about your website (number of pages, structure, etc) so that they don’t have to find it themselves.
Use an XML sitemap to list all important pages of your website so that the crawlers can know which pages to monitor for changes and which to ignore.

Step 2: Indexing

Crawling alone is not enough to build a search engine.

Information identified by the crawlers needs to be organized, sorted and stored so that it can be processed by the search engine algorithms before made available to the end-user.

This process is called Indexing.

Search engines don’t store all the information found on a page in their index but they keep things like: when it was created/updated, title and description of the page, type of content, associated keywords, incoming and outgoing links and a lot of other parameters that are needed by their algorithms.

Google likes to describe its index like the back of a book (a really big book).

Why care about the indexing process?

It’s very simple, if your website is not in their index, it will not appear for any searches.

This also implies that the more pages you have in the search engine indexes, the more are your chances of appearing in the search results when someone types a query.

Notice that I mentioned the word ‘appear in the search results’, which means in any position and not necessarily on the top positions or pages.

In order to appear in the first 5 positions of the SERPs (search engine results pages), you have to optimize your website for search engines using a process called Search Engine Optimization or SEO in short.


Step 3: Ranking

Search Engine Ranking Algorithms

The third and final step in the process is for search engines to decide which pages to show in the SERPS and in what order when someone types a query.

This is achieved through the use of search engine ranking algorithms.

In simple terms, these are pieces of software that have a number of rules that analyze what the user is looking for and what information to return.

These rules and decisions are made based on what information is available in their index.

How do search engine algorithms work?

Over the years search engine ranking algorithms have evolved and became really complex.

At the beginning (think 2001) it was as simple as matching the user’s query with the title of the page but this is no longer the case.

Google’s ranking algorithm takes into account more than 255 rules before making a decision and nobody knows for sure what these rules are.

And this includes Larry Page and Sergey Brin (Google’s founders), who created the original algorithm.

Things have changed a lot and now machine learning and computer programs are responsible for making decisions based on a number of parameters that are outside the boundaries of the content found on a web page.

To make it easier to understand, here is a simplified process of how search engines ranking factors work:

Step 1: Analyze User Query

The first step is for search engines to understand what kind of information the user is looking for.

To do that, they analyze the user’s query (search terms) by breaking it down into a number of meaningful keywords.

A keyword is a word that has a specific meaning and purpose.

For example, when you type “How to make a chocolate cake”, search engines know from the words how-to that you are looking for instructions on how to make a chocolate cake and thus the returned results will contain cooking websites with recipes.

If you search for “Buy refurbished ….”, they know from the words buy and refurbished that you are looking to buy something and the returned results will include eCommerce websites and online shops.

Machine learning has helped them associate related keywords together. For example, they know that the meaning of this query “how to change a light bulb” is the same as this “how to replace a light bulb”.

They are also clever enough to interpret spelling mistakes, understand plurals and in general extract the meaning of a query from natural language (either written or verbal in case of Voice search).

Step 2: Finding matching pages

The second step is to look into their index and decide which pages can provide the best answer for a given query.

This is a very important stage in the whole process for both search engines and web owners.

Search engines need to return the best possible results in the fastest possible way so that they keep their users happy and web owners want their websites to be picked up so that they get traffic and visits.

This is also the stage where good SEO techniques can influence the decision made by the algorithms.

To give you an idea of how matching works, these are the most important factors:

Title and content relevancy – how relevant is the title and content of the page with the user query.

Type of content – if the user is asking for images, the returned results will contain images and not text.

Quality of the content – content needs to be thorough, useful and informative, unbiased and cover both sites of a story.

Quality of the website – The overall quality of a website matters. Google will not show pages from websites that don’t meet their quality standards.

Date of publication – For news-related queries, Google wants to show the latest results so the date of publication is also taken into account.

The popularity of a page – This doesn’t have to do with how much traffic a website has but how other websites perceive the particular page.

A page that has a lot of references (backlinks), from other websites is considered to be more popular than other pages with no links and thus has more chances in getting picked up by the algorithms. This process is also known as Off-Page SEO.

Language of the page – Users are served pages in their language and it’s not always English.

Webpage Speed – Websites that load fast (think 2-3 seconds) have a small advantage compared to websites that are slow to load.

Device Type – Users searching on mobile are served mobile-friendly pages.

Location – Users searching for results in their area i.e. “Italian restaurants in Ohio” will be shown results related to their location.

That’s just the tip of the iceberg. As mentioned before, Google uses more than 255 factors in their algorithms to ensure that its users are happy with the results they get.

Why care how search engine ranking algorithms work?

In order to get traffic from search engines, your website needs to appear in the top positions on the first page of the results.

Appearing in the second or third page of the results will not get you any traffic at all.

Traffic is just one of the benefits of SEO, once you get to the top positions for keywords that make sense for your business, the added benefits are much more.

Knowing how search engines work can help you adjust your website and increase your rankings and traffic.


Search engines have become very complex computer programs. Their interface may be simple but the way they work and make decisions is far from simple.

The process starts with crawling and indexing. During this phase, the search engine crawlers gather as much information as possible for all the websites that are publicly available on the Internet.

They discover, process, sort and store this information in a format that can be used by search engine algorithms to make a decision and return the best possible results back to the user.

The amount of data they have to digest is enormous and the process is completely automated. Human intervention is only done in the process of designing the rules to be used by the various algorithms but even this step is gradually being replaced by computers through the help of artificial intelligence.

As a webmaster, your job is to make their crawling and indexing job easier by creating websites that have a simple and straightforward structure.

Once they can “read” your website without issues, you then need to ensure that you give them the right signals to help their search ranking algorithms, pick your website when a user types a relevant query (that’s SEO).


Top Search Engines Comparison and Analysis | Google vs Bing vs Yahoo VS Duckduckgo

Which are the 10 best and most popular search engines in the World? Besides Google and Bing, there are other search engines that may not be so well known but still serve millions of search queries per day.

It may be a shocking surprise for many people but Google is not the only search engine available on the Internet today! In fact, there are a number of search engines that want to take Google’s throne but none of them is ready (yet) to even pose a threat.

Working of Search Engine:

Three main stages. The first stage is the process of discovering the information, the second stage is organizing the information, and the third stage is ranking.

This is generally known in the Internet World as Crawling, Indexing, and ranking.

For More How Search Engine Works Read:

Google: Google was founded in 1998 and today no need for further introductions. The search engine giant holds the first place in search with a stunning difference of 76% from second in place Bing.

What made Google the most popular and trusted search engine is the quality of its search results. Google is using sophisticated algorithms to present the most accurate results to the users. Google’s founders Larry Page and Sergey Brin came up with the idea that websites referenced by other websites are more important than others and thus deserve a higher ranking in the search results.

Over the years the Google ranking algorithm has been enriched with hundreds of other factors (including the help of machine learning) and still remains the most reliable way to find exactly what you are looking for on the Internet.

Bing.com: Bing(2009) is Microsoft’s attempt to challenge Google in search, but despite their efforts, they still did not manage to convince users that their search engine can be a reliable alternative to Google even though Bing is the default search engine on Windows PCs.

Bing originated from Microsoft’s previous search engines (MSN Search, Windows Live Search, Live Search) and according to Alexa rank is the #30 most visited website on the Internet.

Yahoo.com: Yahoo(1994) is one of the most popular email providers and its web search engine holds the third place in search with an average of 2% market share.

From October 2011 to October 2015, Yahoo search was powered exclusively by Bing. In October 2015 Yahoo agreed with Google to provide search-related services and until October 2018, the results of Yahoo were powered both by Google and Bing. As of October 2019, Yahoo! Search is once again provided exclusively by Bing.

Yahoo is also the default search engine for Firefox browsers in the United States (since 2014).

Yahoo’s web portal is very popular and ranks as the 11 most visited website on the Internet (According to Alexa).

Baidu.com: Baidu was founded in 2000 and it is the most popular search engine in China. Its market share is increasing steadily and according to Wikipedia, Baidu is serving billions of search queries per month. It is currently ranked at position 4, in the Alexa Rankings.

Although Baidu is accessible worldwide, it is only available in the Chinese language.

Yandex.com: According to Alexa, Yandex.com is among the 30 most popular websites on the Internet with a ranking position of 4 in Russian.

Yandex presents itself as a technology company that builds intelligent products and services powered by machine learning. According to Wikipedia, Yandex operates the largest search engine in Russia with about 65% market share in that country.

DuckDuckGo.com: According to DuckDuckGo traffic stats, they are serving on average 47 million searches per day but still their overall market share is constantly below 0.5%.

Unlike what most people believe, DuckDuckGo does not have a search index of their own (like Google and Bing) but they generate their search results using a variety of sources.

In other words, they don’t have their own data but they depend on other sources (like Yelp, Bing, Yahoo, StackOverflow) to provide answers to users’ questions.

This is a big limitation compared to Google that has a set of algorithms to determine the best results from all the websites available on the Internet.

On the positive side, DuckDuck Go has a clean interface, it does not track users and it is not fully loaded with ads.

Ask.com: Formerly known as Ask Jeeves, Ask.com receives approximately 0.42% of the search share. ASK is based on a question/answer format where most questions are answered by other users or are in the form of polls.

It also has the general search functionality but the results returned lack quality compared to Google or even Bing and Yahoo.

Aol.com: According to netmarketshare the old-time famous AOL is still in the top 10 search engines with a market share that is close to 0.05%.

The AOL network includes many popular web sites like engadget.com, techchrunch.com, and huffingtonpost.com. On June 23, 2015, AOL was acquired by Verizon Communications.

Wolframalpha.com: WolframAlpha is different than all the other search engines. They market it as a Computational Knowledge Engine which can give you facts and data for a number of topics.

It can do all sorts of calculations, for example, if you enter “mortgage 2000” as input it will calculate your loan amount, interest paid, etc. based on a number of assumptions.

Internet Archive: archive.org is the internet archive search engine. You can use it to find out how a web site looked since 1996. It is a very useful tool if you want to trace the history of a domain and examine how it has changed over the years.

These are the 10 best and most popular search engines on the Internet today.

The list is by no means complete and for sure many more will be created in the future but as far as the first places are concerned, Google and Bing will hold the lead positions for years to come.