How Google RankBrain Help to Get More Traffic in Your Site

How Google RankBrain Help to Get More Traffic to Your Site 

“Google using a Machine learning technology called RankBrain algorithm to deliver its search result”

What is RankBrain?

RankBrain is developed by Google. Google uses an artificial intelligent called RankBrain to help to help improve search results. Let’s see how it work with Google’s overall ranking system.

RankBrain is an Artificial Intelligent machine learning system that’s used to help process its search result.

What is Machine Learning?

Machine learning is where computer teaches itself how to work and to do something, rather than being taught by humans.

What is Artificial Intelligent?

True artificial intelligence, or AI for short, is where a computer can be as smart as a human being, at least in the sense of acquiring knowledge both from being taught and from building on what it knows and making new connections.

True AI exists only in science fiction novels, of course. In practice, AI is used to refer to computer systems that are designed to learn and make connections.

How’s AI different from machine learning? In terms of RankBrain, it seems to us they’re fairly synonymous. You may hear them both used interchangeably, or you may hear machine learning used to describe the type of artificial intelligence approach being employed.

Name of the Google's Search Algorithm

Name of Google Algorithm is Hummingbird, as we reported in the past. For years, the overall algorithm didn’t have a formal name. But in the middle of 2013, Google overhauled that algorithm and gave it a name, Hummingbird.

RankBrain with Google's Algorithm

Hummingbird also contains other parts with names familiar to those in the SEO space, such as Panda, Penguin, and Payday designed to fight spam, Pigeon designed to improve local results, Top Heavy designed to demote ad-heavy pages, Mobile Friendly designed to reward mobile-friendly pages and Pirate designed to fight copyright infringement.

Page Rank

PageRank is part of the overall Hummingbird algorithm that covers a specific way of giving pages credit based on the links from other pages pointing at them.

PageRank is special because it’s the first name that Google ever gave to one of the parts of its ranking algorithm, way back at the time the search engine began, in 1998.

Signals

Signals are things Google uses to help determine how to rank web pages. For example, it will read the words on a webpage, so words are a signal. If some words are in bold, that might be another signal that’s noted. The calculations used as part of PageRank give a page a PageRank score that’s used as a signal. If a page is noted as being mobile-friendly, that’s another signal that’s registered.

All these signals get processed by various parts within the Hummingbird algorithm to figure out which pages Google shows in response to various searches.

Google has fairly consistently spoken of having more than 200 major ranking signals that are evaluated that, in turn, might have up to 10,000 variations or sub-signals. Google says is the third-most important factor for ranking web pages. 

Work of RankBrain

RankBrain is mainly used as a way to interpret the searches that people submit to find pages that might not have the exact words that were searched for.

Google has found pages beyond the exact terms someone enters for a very long time. For example, years and years ago, if you’d entered something like “shoe,” Google might not have found pages that said “shoes,” because those are technically two different words. But “stemming” allowed Google to get smarter, to understand that shoes is a variation of shoe, just like “running” is a variation of “run.”

Google also got synonym smarts, so that if you searched for “sneakers,” it might understand that you also meant “running shoes.” It even gained some conceptual smarts, to understand that there are pages about “Apple” the technology company versus “apple” the fruit.

Knowledge Graph

The Knowledge Graph, launched in 2012, was a way that Google grew even smarter about connections between words. More important, it learned how to search for “things not strings,” as Google has described it.

Strings mean searching just for strings of letters, such as pages that match the spelling of “indira Gandhi.” Things means that instead, Google understands when someone searches for “indira Gandhi,” they probably mean central figure of the Indian National Congress indira Gandhi, an actual person with connections to other people, places and things.

The Knowledge Graph is a database of facts about things in the world and the relationships between them. It’s why you can do a search like “when was the father of indira Gandhi born” and get an answer about Jawaharlal Nehru as below, without ever using her name:

RankBrain with Refine Queries

The methods Google already uses to refine queries generally all flow back to some human being somewhere doing work, either having created stemming lists or synonym lists or making database connections between things. Sure, there’s some automation involved. But largely, it depends on human work.

The problem is that Google processes three billion searches per day. In 2007, Google said that 20 percent to 25 percent of those queries had never been seen before. In 2013, it brought that number down to 15 percent, which was used again in yesterday’s Bloomberg article and which Google reconfirmed to us. But 15 percent of three billion is still a huge number of queries never entered by any human searcher — 450 million per day.

 Among those can be complex, multi-word queries, also called “long-tail” queries. RankBrain is designed to help better interpret those queries and effectively translate them, behind the scenes in a way, to find the best pages for the searcher.

As Google told us, it can see patterns between seemingly unconnected complex searches to understand how they’re actually similar to each other. This learning, in turn, allows it to better understand future complex searches and whether they’re related to particular topics. Most important, from what Google told us, it can then associate these groups of searches with results that it thinks searchers will like the most.

Google didn’t provide examples of groups of searches or give details on how RankBrain guesses at what are the best pages. But the latter is probably because if it can translate an ambiguous search into something more specific, it can then bring back better answers.

This article's reference is: https://searchengineland.com/

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Inbound Marketing Methodology

Inbound Marketing Methodology

What is Inbound Marketing

Inbound Marketing is focused on attracting customers through relevant and helpful content and adding at every stage in your customer’s buying journey. With inbound marketing, potential customers find you through channels like blog, search engines and social media. 

Attractà Convertà Closeà Delight

The above four Phrase are turn strangers into visitors, leads, customers and promoters. The Methodology becomes even more powerful when implemented with your sales and customer success strategy

Attract

Strangers ---> Visitors

You don’t want just anyone come in to your site. You want people more likely to become a lead and ultimately happy customers. How do you get them? You attract more of the right customers with relevant content at the right time when they are looking for it.

Blogging

Inbound Marketing Starts with content. A blog is the single way to attract the visitors to your website. In order to get found by the right prospective customers, you must create educational content that specks to them and answers their questions.

Content Strategy

Your customers begin their buying process online, usually by searching to find something they have questions about. So, you need to make sure you’re showing up when and where they search. To do that, increase your presence with tools that helps you define and implement your content strategy.

Social Media

Successful inbound strategies are all about remarkable content – and social media allow you to share that valuable information engage with your prospects and put a human face on your brand. Interact on the platform where your ideal buyers spend their time.

Convert

VisitorsàLeads

Once you’ve attract website visitors, the next step is to convert those people to leads. You do this by opening up a conversation in whatever way works best for them – with messages forms or meetings. Once you have in touch , you answer questions and provide relevant content that is interested and valuable to each of your personas – and continues the conversation.

Forms

In order for visitors to become lead, they can fill out a form and submit their information. Optimize your form to make this step of the conversion process as easy as possible.

Meeting

To win new deals, your going to have speak with people one way or another, via phone or virtual meeting. Give prospects an easy way to book meeting without the back and forth.Your calendar says full, and you stay productive. Show up engage and win a new customer.

Message

Chat with site visitors, connect with the right people at the right time, and make chat conversation a natural part of your sales process. Close more deal with the live chat tools that build for sale teams. Messages helps Sales team connect with the right people right when they are most engaged.

CRM

Keep track of the leads you are converting in your CRM, a centralized content database. Having all your data in one place help you make sense of every interaction you have had with your contacts and optimize with your future

interactions to more effectively attract convert close and delight your ideal customers.

Close

You’re on the right track. You’ve attracted the right visitors and converted the right leads, but now you need to transform those leads to customers. How can you most effectively do this? The sales tools available at this stage to make sure you’re closing the right leads at the right time faster and easier.

Pipeline Management

How do you know which marketing efforts are brining in the best leads? Is your sales team effectively closing those best leads in to customers? Is your sales team effectively closing those best leads into customer? Using HubSpot's CRM allows you to analyze just how well your marketing and sales teams are playing together.

Lead Nurturing

Each lead you have should be nurtured according to their interests and lifecycle stage. Pages they’ve visited, content and whitepapers – all these indicate shifting interests. Good nurturing adapts messaging to stay relevant and makes winning new customers faster.

Email

What do you do if a visitor clicks on your call-to-action, fills out a landing page, or downloads your whitepaper, but still isn’t ready to become a customer? A series of emails focused on useful, relevant content can build trust with a prospect and help them become more ready to buy.

Predictive Lead Scoring

Lead scoring is a great way to handle growth at your company. As your business grows and you generate more leads, it doesn't always make sense to get in touch with every single lead. You want to make sure a sale is prioritizing their time based on the most qualified leads.

Delight

The inbound way is all about providing a remarkable experience for your customers. Plus, they have much higher expectations of your business and how they’re treated than ever before. So, it’s even more important to engage with, delight, and make your customers successful. If you do, they will buy more, stay with you longer, refer their friends, and be happy to tell the world they love you.

Customer Hub

Your customers can be your biggest fans or worst detractors. It all comes down to how well you understand them and if you’ve helped them succeed. With Customer Hub you’ll have the tools and playbook you need to get to know, connect with, and truly help your customers succeed.

Smart Content

No one wants a sales pitch when they've already bought. Smart content makes sure you don't show loyal customers CTAs or content meant for first-time buyers. And with smart calls-to-action, you present different visitors with offers that change based on buyer persona and lifecycle stage.

Conversations

Manage, collaborate, and respond to customer messages, from any channel, inside HubSpot. Keep track of potential deals, questions, comments, and requests – and start having better more meaningful customer conversations.

Related Post:

You tube Marketing

Social Media Marketing

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8 Things Every Beginner Oracle DBA Should Know

 

If you have just taken on the responsibilities of a DBA, it’s hard sometimes to know which skill sets are most crucial to your job. The job responsibilities of DBAs are vast and complex and often dip into other areas of IT – so which ones should you hone first?

In this blog post, we’re going to outline the ones we think will be more helpful as you get started on your DBA journey. Although learning on the job is a continuous and never-ending process, there are certain skills and concepts that are critical from the start. As a general rule, we believe it’s a good idea for early-career DBAs to develop a 360-degree view of how your databases interact with various subsystems — OS, network, firewalls, server hardware, and storage systems, to name a few. Our suggestions will be rooted in this concept.

Here’s a checklist of eight job requirements in which a beginner Oracle DBA should build expertise:

Installing and configuring Oracle

Procedures and caveats of installing Oracle across different OS — Linux, Windows Server, Unix, to name a few — can vary considerably. Each platform has its own peculiar and specific requirements. Knowing about Oracle installation procedures is a strong point, but there is no substitute for practical experience. Read, listen, observe, and always be on the lookout for opportunities to get that practical experience.

Basic monitoring and tuning

There are so many diverse issues that can affect the performance of an Oracle database. As a new DBA you should be able to understand the type of bottlenecks that can take place and be able to find solutions. To mention just a few: Use common wait events, check if the right index is being used, and rebuild indexes and tables if necessary to remove fragmentation.

Backing up and recovering databases

One of the top responsibilities of an Oracle DBA is to ensure continuity and availability of the database. As a matter of fact, a number of companies use KPIs based on the mean availability time between failures for evaluating performance of DBAs. There are skills you will need to pick up to ensure database availability. One of these is to be able to confidently use Oracle’s native backup and restore features and other similar third-party tools.

Basic understanding of database security issues

No one expects an Oracle DBA to have in-depth knowledge of all aspects of Oracle database security. If you are new on the job, at the very least you should know the basic security issues. For example, a new DBA should be aware of roles, profiles, user accounts, object and system level privileges, and related concepts. SQL Injection is also an area an entry-level DBA should be familiar with.

Database design

Software development teams often interact with DBAs to preempt faults in database design and to avoid costly modifications in database structure down the line. One of the key concepts that any DBA should be familiar with is DB normalization, at least up to the third normal form. Chances are, you probably know how to normalize a database but in practice, DB normalization can be a double-edged sword. There are specific scenarios in database design where you might want to denormalize a database and promote data redundancy in a controlled manner in the interest of speeding up overall database access.

Good knowledge of DBMS series of packages

A beginner DBA should understand the purpose behind the DBS series of packages that come bundled with Oracle. These packages extend Oracle’s core functionality. Without these packages it would not be possible to use PL/SQL with many standard Oracle features. As a new DBA you need not know each and every package, but you should have a good idea of the utility and functionality that those packages provide.

Command over SQL and PL/SQL

Besides being confident with SQL — a non-procedural language that is used to execute both DDL and DML statements — a beginner DBA should also be confident in the use of PL/SQL. Even though PL/SQL is perceived to be a developer’s skillset, a DBA should be able to use PL/SQL to create jobs or stored procedures or to query underlying system tables. Knowledge of PL/SQL will also enable a DBA to read scripts written by programmers and to fine-tune their queries.