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Impact of Retail Banking on Indian Economy & its Benefits to Banks in 2021

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Retail banking is a financial institution’s direct interaction with consumers. Typical services: savings and transaction accounts; mortgages; personal loans; debit and credit cards, among others. Working mechanism: The Law of Large Numbers Aids in determining the success of multi-level marketing operations due to its wide appeal among customers. Distribution – branch, channels Branding Customer service

The phrase is most often used to distinguish consumer-facing financial services from investment banking, commercial banking, and wholesale banking. It may also be used to refer to a bank’s section that handles personal customers.

The Impact of Retail Banking In Indian Economy

In India, retail banking has long been a reality. It has always been present in India in one form or another. For many lenders, the most recent years have seen it become synonymous with traditional banking. Housing loans, durable goods consumption loans, automobile loans, credit cards, and educational loans are among the typical services offered by Indian retail banks.

To promote their products, different banks offer attractive brand names to distinguish the goods provided by various lenders. According to the Report on Trend and Progress of India, 2003-04, loan values of these retail lending are typically below Rs.20,000 to Rs.100. The loans are generally for five to seven years with housing loans available for a longer term.

In the realm of e-commerce, credit cards are also a fast-growing subsector. With retail portfolio accounting for 21.5% of total outstanding loans as of March 2004, retail lending has become a key profit source for banks. The overall loan impairment ratio was lower than the gross NPA ratio for the entire loan portfolio in recent years.

Investment Banking Course

Benefits of Retail Banking for Banks

Banks have access to benefits in retail banking that fintechs do not, namely the ability to cross-sell products and services based on existing customer lending behavior and demographics.

“Retail banks rely primarily on cross-selling products to their customers for growth; while third party providers must acquire a new clientele through marketing.”

This is particularly true if we consider that one of the main advantages of using financial technology solutions is their cost reduction compared with traditional banking fees. And yet, many of these solutions will always want to act as an intermediary between a bank and its clients (and their data). It’s no wonder why today’s top ten tech companies are also investing in developing innovative financial services.

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Join Imarticus’ hosted PGP program in New Age Banking in association with JAIN University.

Enroll in the retail banking course and earn a diploma in banking and finance.  Be industry prepared and secure your career with Imarticus learning today!

Entrepreneurial Finance & Investment Decisions in Seed-Stage Ventures: An Overview

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Startups and Typical Funding Path 

There are many ways to finance a new startup, and finance is one of the most important aspects to consider when launching a business. There are several sources of finance available for startup ventures, which include public finance, private equity finance, venture capital finance, and self-funding (called bootstrapping).

Public finance is very broad in scope and typically includes funds raised by companies from government agencies or government programs designed specifically for entrepreneurial purposes.

Much of this activity takes place at the local level, where city governments work with entrepreneurs through various programs to help launch new businesses within their communities. These programs can vary widely from location to location; however, they generally offer technical assistance on all stages of company creation as well as financial support such as low loans or seed money grants.

What is Seed Financing?

Seed financing (also known as seed money, or seed funding) is the first stage of a startup’s capital-raising process. Seed financing is a form of equity-based finance. In other words, investors give money in exchange for an ownership stake in a firm. This is generally done in a looser formal setting when compared to other types of equity-based capital investment.

How is Seed Capital Used?

Seed capital is typically used to cover the company’s initial operations. Proceeds from seed financing might be spent on market research or early-stage product development (e.g., the formation of a prototype), as well as on essential operating expenditures such as legal fees.

The majority of the funding comes from family, friends, and angel investors. Angel investors are the most important participants in seed investment since they might supply a large quantity of money.

Seed Financing as an Investment Vehicle

The riskiest type of investment is seed financing. It entails putting money into a firm that has just begun to generate revenue or profits. Venture capitalists and banks, for example, typically avoid seed financing because of these reasons.

Seed investment, on the other hand, is one of the most complicated types of financing. This is due to a lack of information on the part of a potential investor. Because it’s crucial for determining whether or not your company has a viable concept and strong management that can implement it, you’ll have to do some research yourself.

The executive’s soft skills, as well as the company’s management abilities, also have an impact. Management expertise isn’t always crucial, however. Many internet giants like Facebook and Google were created by people with virtually no prior business administration experience.

Looking for finance courses with placement?

MBA in investment banking and equity research can skyrocket your career! Join Imarticus’ exclusive program in association with JAIN University and up-level your career in finance in no time.

What are the Features & Benefits of Security Lending & Borrowing?

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Securities Lending and Borrowing is a system that allows investors to borrow and lend shares to other market players. For many reasons, the platform is a potential alternative to the derivatives market. Short-sellers are the most common SLB borrowers. On the other hand, Lenders are investors who purchased shares for the long term and have them sitting dormant in their demat accounts.

In most jurisdictions, securities lending and borrowing is an OTC (over-the-counter) commodity where custodians allow borrowing and lending transactions between institutions. SLB, on the other hand, is an exchange-traded product in India.

SLB Features

  • Clearing Corporations guarantee transactions in the SLB section and hence do not include any counter-party risk.
  • Contracts with durations ranging from one month to twelve months are available.
  • Turnover fees from the STT and SEBI are not applicable.
  • The market value of the equities determines the loan amount pledged as security.
  • This SLB allows retail and institutional investors to lend and borrow assets.
  • The securities can be lent by investors who have Ideal Shares in their demat account.
  • This approach allows investors or traders who have short-sold stocks to borrow the securities.
  • National Securities Clearing Corporation Limited ensures that stocks are delivered after the rental period has ended. As a result, there is no chance of the stock being lost.
  • When the borrower returns the stock, any dividends, stock splits, or bonus shares are paid to the lender of the securities.

Benefits 

Both the lender and the borrower benefit from SLB.

For Lender

SLB delivers an extra return on an idle portfolio for Lenders. So, if you have 1000 shares of xyz that you intend to own for a long time, you can lend them out anytime there is a demand. Where NSCCL is the guarantor, the lender receives loan fees.

The potential to make additional money through the fee charged to the borrower to borrow the security is one of the benefits of securities lending from the lender’s perspective. It could also be considered as a way to broaden one’s horizons.

For Borrower

From the borrower’s perspective, it permits them to engage in activities such as short selling. It also provides investors with more perspectives on the market. As previously said, it aids in the increase of liquidity in the market as a whole. As the difference between the bid and the ask narrows, increased market liquidity tends to tighten spreads, which is favorable to all market players.

A borrower is most likely interested in one of the following opportunities: stock price between two exchanges, reverse arbitrage when futures are at a discount to stock, covering short positions to avoid settlement failure, mispricing in options, and other hedging strategies, SLB could be used to borrow stocks from a lender for a fee.

Become an Investment Advisor 

Investment advisors provide advice on a wide range of trade finance topics, including retirement planning, insurance alternatives, and investment techniques. To work as an investment advisor in India, you’ll need a degree in finance or banking as well as a SEBI certificate of registration.

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MBA program by Imarticus 

A diploma in banking and finance is Designed Specifically for Future Investors. Your ultimate doorway to New Age Investment Banking and Finance.

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The program is designed to give you in-depth exposure to essential parts of the trade finance Investment Banking sector,

Such as Master Accounting, Financial Analysis, Principles of Economics and Markets, Investment Banking Operations, and more.

4 Common Mistakes Made by Beginner Stock Investors!

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Stock investing is a highly competitive and risky business. The risk of losing your money in the stock market can be mitigated by learning about treasury management, trade finance, and other related areas. If you are a beginner stock investor, there is no time like the present to learn as much as you can about this exciting field.

There are many mistakes that beginners often make, and those mistakes could cost you dearly in the long term. In this post, we’ll discuss four common mistakes made by beginner traders and offer advice on how to avoid them. 

Common mistakes made by beginner traders and how to avoid these mistakes are:

Purchasing without doing the research: One of the most important parts of trading is understanding what you are buying. This requires some background knowledge and information on your part to make an informed investment decision. You should have all this before making any investments to avoid mistakes like jumping into something just because someone else said it was good or looking at a graph that makes something look more promising than it really is.

Not considering risk management: When people hear about successful traders, they often think that these traders were simply lucky; however, there’s much more behind their success than luck alone. These professional investors know how to manage risks properly, which has helped them navigate through rough patches while maintaining portfolios over time. Risk management also helps know what to sell when things go south and how much of a loss is too big.

Not having an exit strategy: Another common mistake investors make is not having an exit strategy. They often get caught up in the moment when something starts to go well and don’t sell it even though they know that it might come back down. Having a solid plan for exiting trades should include some type of profit-taking or using stop-losses, which are set according to your preferences as they can limit potential losses while still allowing you to take advantage of gains.

Getting caught up on emotions: Investing requires patience more than anything else as it takes time for good investments to pay off—but this doesn’t mean you should be patient all of the time. When new traders make a lot of money, they tend to hold onto those stocks thinking that their luck will continue, which isn’t always true; hence why risk management is so important because if things go south (i.e., there was an unanticipated event like bad news from another company), then these beginner traders may end up losing a lot more than they bargained for.

Learn treasury management by joining MBA course at Imarticus Learning Institute

Avoiding these mistakes is the primary step towards becoming a successful trader. The second and equally important part of learning to trade profitably is good risk management skills as well as understanding various compliances in the market. Learn risk and treasury management in banking & finance with Imarticus Learning.

Imarticus Learning offers MBA courses in finance in collaboration with Jain University. This course will enable you to gain in-depth knowledge & understanding of the various treasury operations and also help you understand risk management.

For more information, connect with us through the Live Chat Support system or visit any of our training centers based in – Chennai, Mumbai, Thane, Pune, Bengaluru, Hyderabad, Delhi, and Gurgaon.

Most Essential Asset for Professionals: Data Analytics Tools!

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To perform data analysis, professionals use tools & software that ensure the best results. There are many of them in the market, but a few are on the top list for data analysts that need to be chosen wisely to extract the best benefit. 

This article discovers the best data analyst tools and highlights key features of each based on different types of analysis processes. But first, here’s a basic definition & introduction.

What Are Data Analyst Tools?

Data analyst tools are applications & software that data analysts develop & perform analytical processes to make better, informed business decisions while keeping costs low & profits high.

Top Tools Used by Data Analysts?

1. Business Intelligence Tools

BI tools are the most represented means to perform data analysis. Specialized in business analytics, they prove beneficial for every data analyst to monitor, analyze, and report essential findings. Self-service, advanced SQL modes, and predictive analytics make them easily adjustable to every level of knowledge without immense IT involvement. 

DATAPINE covers most requirements from beginners & advanced users.

Key Features:

  • Visual drag-&-drop interface
  • Powerful predictive analytics & interactive charts & dashboards
  • Intelligent alarms triggered for anomaly

2. Statistical Analysis Tools

There exist multiple programming languages that make work easier & effective. With the expansion of languages, some rules and scenarios need special attention for statistical data analysis & modeling.

R PROGRAMMING is the most popular tool for data analysts.

Key Features:

  • An ecosystem of more than 10k packages & extensions for data analysis
  • Statistical analysis, modeling, & hypothesis testing
  • Active community of researchers, statisticians, & scientists

3. General-Purpose Programming Languages

Programming languages help to resolve a variety of data problems. Tools like C#, Java, PHP, Julia, Ruby, and Python are many reliable solutions.

PYTHON is the most trusted tool.

Key Features:

  • Open-source solution with simple coding processes
  • Easy integration with other languages
  • Advanced analysis processes through ML & text mining

4. SQL Consoles

SQL is a programming language used to manage data held in relational databases, effectively handling structured data for analysts. Highly popular in the data science community, these tools are used in various business cases & data scenarios. 

MYSQL WORKBENCH is the most popular one.

Key Features:

  • Unified visual tool for data modeling, administration, SQL development, backup, etc.
  • Instant access to the database via Object Browser
  • SQL Editor offers color syntax highlighting, reuse of SQL snippets, & execution history

5. Unique Predictive Analytics Tools

Predictive analytics is an advanced technique to combine data mining, AI/ML, and predictive modeling to predict future events. It is an essential data analysis tool as it simplifies predictive analytics processes. 

SAS FORECASTING is an analysis software helpful for predictive analytics processes & helps analysts to predict future scenarios.

Key Features:

  • Automatic forecasting for entities or products, including hierarchical forecasting
  • Scalability & modeling to create an ensemble
  • An unlimited model repository including time-series & casual methods

Apart from the tools mentioned above, there are industry-specific analytics tools & data science platforms that assist professionals. A business analytics course can help you better understand what data analytics is!

Build New-Age Career with Imarticus:

data analytics coursesImarticus Learning offers Data Science Courses, the most extensive, industry-approved experiential learning program ideal for Data Analysts. 

Industry experts have developed the programs to help students learn real-world applications of Data Science from scratch & build robust models to generate valuable business insights and predictions.

Take a giant career leap with this analytics program.

For more details, contact us through the Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, and Gurgaon.

What Does a Financial Analyst Do

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In the contemporary landscape, data science is at the core of every progressive organization that relies on technology to carry out its operation. This is also true for players in the banking and finance industry. The banking and finance industry has undergone a massive transformation in the last two decades.

With the advent of the Fintech companies, the traditional banking systems have been forced to rethink how they serve their customers. Traditional banking has been replaced by digital banking and transactions using smart devices have gained the front seat. Data science is at the centre of this revolutionary technology. It has made it easier to analyze the financial stand of the organization and the market volatility.

Data has helped them customize their services as per the needs of an individual customer. It has helped to improve the services of all players in the finance industry by giving them insightful information as to what the customers want. The finance and technology amalgamation has leveraged the power of data and internet to make everything smarter. It has made it easier to predict future trends using historical data.

Now, how do they use data and who helps them obtain valuable insights from seemingly irrelevant data? A large part of this process is carried out by financial analysts who have a dynamic role to play in the success of a financial organization.

Let’s dig deeper into what financial analysts do and how do they help the companies with their expertise.

Role of a Financial Analyst

The role of a financial analyst is very diverse and entails a range of activities that need to be carried out. The role of a person working in the capacity of a financial analyst is multi-faceted. It requires a range of technical skills and good quantitative acumen to succeed in the role.

The wide range of chores in the purview of a financial analyst includes accumulation and organization of data, analyzing historical results, making future projections, preparing reports, making a recommendation. Let’s peep into the details.

Gathering and Organizing data

This is the most rudimentary task that a financial analyst needs to perform. Any analysis requires a collection of relevant data and organizing it as per their needs. These data generally includes accounting data, stock price information, macroeconomic data and other quantitative data that helps to make a detailed analysis.

These data sets are collected from the internal database of the company or third party research providers like Bloomberg. Once the relevant data is obtained it is organized and arranged using a spreadsheet or some other database. The organization process also includes categorizing data and applying formulas and functions.

Analyzing financial information

Once the data is gathered and organized into a database, the actual analysis process starts with the evaluation of past data records and results. The analysis process includes inspection of various financial ratios and metrics like gross profit, net margin, return on equity, earning per share, liquidity ratio, growth rate, inventory turnover ratio, etc.

Make future projections

Once the historical data and past results have been analyzed, the analyst is required to make future projections and predict general trends related to the company’s financial performance. Some of the mainstream projection methods that are applied to make predictions include regression analysis and year over year growth rates method. Other methods include bottom-up approach, bottom-down approach, etc.

Building recommendations
The process of predicting future trends and making projections is followed by building recommendations and providing suggestions on how to improve the operations of an organization. These suggestions might include ways to cut cost, identifying new investment avenues, methods to achieve operational efficiency, ways to improve customer satisfaction, etc.

What are Roles and Responsibilities of Scrum Master

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Who is Scrum Master

Scrum master is the moderator for an Agile Development team. These people have to look for a management task like information interchange between team members. Scrum masters manage that how people can exchange their information. Also, their responsibility includes promotion and supporting scrum. These are usually done by making people understand Scrum theory, rules, and values.

Scrum Master is the leader who makes people engaged or interactive so that this interaction results in maximized values. The scrum master takes care of the scrum tasks that needed to be done during a project. They hold processes that are going on in the organization, scrum framework, and scrum team. The project can get into failure if no scrum master is present to do promotion and support the process.

Scrum Master Responsibilities

The scrum master has many different roles in a process or a project. A scrum master ensures the goal, scope, and product information that is cleared to all the team members. They take care of product planning. They are knowledgeable about how to approach a project and meetings required for those. Some of the responsibilities include:

  • Helping the team to achieve the desired goal in a specific time.
  • Helping the team for the agreement during the scrum meets.
  • Ensuring the team to agree upon the rules of the daily scrum.
  • Ensuring there is no distraction for the team during the project.
  • Removing the problems and obstructions faced by the team.
  • Developing a good environment so that team can be constructive.
  • Taking care of the relationship between team and product owner.

Challenges Faced By Scrum Master

A scrum master is a person that ensures that everything in the scrum process is followed by the team. It can be said that scrum master’s role is easiest but there are still a few challenges that are faced by the scrum masters that are stated below:

1. Resisting Change- It can be in different forms.
2. Misunderstanding process – There can be different confusions in the daily implementation tasks. Often, there can be confusion between old terms and methods.
3. Failure in an adaption of changing roles- Changes in the role can take place between team and department. You should be able to adapt to your role.

How To Become Scrum Master

The way to be a scrum master you need to get a certification. Scrum Alliance offers CSM that gives the person knowledge to get their teams more effective. The certification talks about the concepts of the Scrum framework and you will gain understanding about events and team roles. If you are certified you can expand your career in various industries. A scrum certification gives you in-depth knowledge about scrum.

There are very few requirements that are required for CSM. You should be aware of the scrum framework. There is a session that talks about an overview of how to support a team. CSM conducts exams and If you pass and accept their license then you would graduate with the two-year member in the Scrum Alliance. There are also other exams apart from CSM.

Certified Scrum Master earns between $70-100K yearly which is dependent upon in the industry. Having certifications makes a scrum master a more preferable candidate for the job.

In this article, I have discussed who are scrum masters, what are their roles and responsibilities in the organization, how they help their team during projects and processes. I have discussed the challenges and problems faced by the scrum master and in the last, I have explained a few certifications that a person willing to do to become a scrum master.

What is Blockchain Developer Salary?

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What is Blockchain Developer Salary?

The importance of Blockchain technology is paramount and there is a huge demand for Blockchain developers by tech-based companies that relies on using cutting-edge progressive technical solutions. Before jumping over to the remuneration offered to a Blockchain developer let’s understand what this technology entails and what these Blockchain developers do.

Understanding the Blockchain technology

Blockchain can be explained as a decentralized digital ledger that captures digital information mainly related to economic transactions of high value which can’t be altered later. The use of cryptography and decentralization to record data makes it impossible to alter the data recorded at any given point of time.

It is extremely helpful when it comes to recording public information and establishing accountability and transparency in the process.

Blockchain is based on a peer to peer technological model that allows information to be stored on multiple servers globally. Anyone who is a part of the network can see the updates in almost real-time and the source of input can be easily verified.

The participants in the network are given a unique identification number that can help to trace the identity of the person responsible for any updates in the blocks. The whole system comprises three important elements; the block, the nodes, the miner.

Blockchain is growing to become a disruptive technology much like the internet and has the power to transform the world for good. It will revolutionize the way information is shared among people and instill more accountability with transparency in the process.

Many companies in industries such as healthcare, finance, and supply-chain are keen on finding out the other possibilities with this revolutionary Blockchain technology and this has created a spurt in the demand for Blockchain developers.

Responsibilities & remuneration of Blockchain developers

What do the Blockchain developers exactly do? Well, Blockchain developers are responsible for a wide range of activities involved in developing a Blockchain application. A Blockchain developer is responsible for the development and optimization of Blockchain protocols that require an in-depth understanding of the core principles of this revolutionary technology.

Their main function can be understood in the light of the various applications of this remarkable technology that includes building the model of Blockchain systems, developing smart contracts, building applications based on Blockchain technology, etc.

Blockchain developers can be divided into two categories; blockchain core developers and blockchain software developers.

The roles of these two developers are interconnected and both have a different area of specialization. The core blockchain developers are responsible for the overall design and framework of blockchain technology. The blockchain software developers do not have to work on the design of the model, they have to develop blockchain applications using the design and framework created by the core developers.

Blockchain Developer Salary in India

As per global estimates, the average salary for a blockchain developer is far higher than the average salary for a normal software engineer. The annual average salary for blockchain developers or experts lies in the range of $150000 to $175000. The average annual figures for other software engineers is somewhere around $137000.

As per research reports, the median annual salary for blockchain developers is in the range of $127000 to $172000 making it one of the most lucrative career options for tech professionals.

In India, the blockchain developers’ average remuneration ranges between Rs. 500,000 to Rs. 30,00,000. This is almost double the average salary earned by other software engineers. With some experience in the professionals can earn as high as Rs. 45,00,000 annually.

Senior-level blockchain professionals can earn much higher in this industry, companies are even willing to pay over Rs. 3 crores given the value they’ll be adding as senior professionals.

If you are interested in choosing blockchain technology as a career option then you can easily work on the technical skills required to do the job by opting for a Blockchain online course. The course will impart you with relevant technical knowledge and give you a practical understanding of the functioning of this technology.

What is The Salary Of A Data Scientist?

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One of the biggest drivers of data science as a career in India is its earning ability. In India alone, the average annual pay of a data scientist (analyst) is upwards of INR 8 lakh. This can definitely vary depending upon the location, the type of the job, and the employer.

While you can improve the chances of earning a higher salary by signing up for a data science course, it is a good idea to look at how the remuneration looks like through the cycle of a data science career.

Hierarchy of Salaries of a Data Scientist

This is a quick look at how your salary will grow as you gain more experience and get trained for a data science career.

  • Beginner – An entry-level data scientist from a reputed institution can look at earning upwards of INR 5 lakh a year. This is a better salary compared to those that engineering graduates receive in India. Here, as a beginner, your goal should be to gain more hands-on experience in your specific field to demand a better salary. For example, a data science training course can improve your chances by 2x.
  • Analyst With 1-4 Years of Experience – Although there is a possibility that your data science salary can touch the INR 10 lakh mark in this period, it will depend on your projects and overall work experience. This is a good time to shift from your existing employer and look at greener pastures.
  • Professional – This is when you achieve more than 10 years of experience. Here you can dictate a salary in the range of INR 15 lakhs to INR 25 lakhs. With several credentials and projects in your name, you can really carve out a prosperous life for yourself and your family. This is also where you can think of spending some time on research.

Just remember that when you start off, make sure you are well trained for a data science career. As a fresher, your academic qualifications will play a vital role during interviews. A data science training course that will help you choose a specialty and make it a focal point is the way to go.

Promotions and Salary Hikes in Data Science

As with every other professional field, a promotion in a data science career is entirely dependent on performance. However, a salary hike of 30% to 50% can be expected. Again, this will be influenced by how well you perform in your role, but given that skilled data scientists are hard to find in India, you can be optimistic.

In any case, if you don’t feel you are professionally growing in your current company, you can always look at upskilling or switching jobs. A data science training course can make you a potential candidate then.

As noted above, getting trained for a data science career can boost your earning and promotion capabilities. While data scientist intrinsically is a well-paying job, a training course in the field will do no harm.

Digital Marketing: The Biggest Growth Driver for Businesses!

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Introduction

We have all heard the statement that digital marketing is the future. Some have even said that a majority of marketing strategies would be based on digital marketing soon. Yet, what is the hype around digital marketing, and why do many consider it the most significant growth driver for businesses? Let’s find out.

To put it simply, digital marketing is the use of digital media to advertise, promote and endorse products and services. Such digital channels include social media, emails, search engines, mobile apps, and websites. This leads us to why digital marketing is required in today’s day and age, and why people are pursuing a career in digital marketing.

The Need for Digital Marketing

In short, with physical shops closing down and personal meets reducing exponentially, digital marketing was the go-to tool for businesses during the first phase of the Covid-19 pandemic. And, it still is. Even before the pandemic, companies that embraced digital marketing had a higher chance of boosting their sales and revenue than those that did not. Here’s why:

  • Almost half the world’s population uses emails. This provides businesses with the unique opportunity to reach out to many people through digital marketing campaigns. This wouldn’t have been possible with traditional marketing techniques.

Affordable smartphones have taken the world by storm, and the testament to this is that there are around 6.3 billion smartphone users in the world. Digital marketing allows a brand to penetrate the digital space of all these users

  • As a result of the reach, digital marketing has led to greater engagement between the customer and the business owner. This can boost sales in the long run by establishing a loyal customer base.
  • Digital marketing also allows people to have more control over their campaigns than in traditional marketing. For example, traditional campaigns have many contractual red-tapes that don’t allow you to change the course of your campaign based on feedback from the target audience.

The Impact of Digital Marketing

There are plenty of business owners who have realized the potential of digital marketing and enrolled in various digital marketing courses online, like the Hubspot Digital Marketing Certification. Yet, what are the impacts that are making businesses switch to digital marketing?

 

  • A Terrific ROI: Digital marketing provides an unbelievable return on investment or ROI. Emails can give a return of $42 on an investment of a mere $1!
  • Converting Leads: With the help of digital marketing, businesses and brands have a higher chance of converting potential customers into purchasing clients!
  • Affordability: Digital marketing is generally very cost-effective. This is in stark contrast to traditional marketing ways, where running ads could sometimes be costly.
  • Hitting The Bull’s Eye: Digital marketing allows you to target customers who are more likely to buy certain products and services. Thus, instead of running mass adverts, you could single out your target audience resulting in more sales and revenue.
  • The Personal Touch: Digital marketing tools have given brands a personal touch. Interactions with the client have increased, and as a result, it has led to a loyal consumer base. This only helps in the long-run growth of the company!

Conclusion

With the world in a digital age, there is an increased number of people using digital media platforms to stay connected. Thus, in order to maximize a company’s reach, it is imperative for brands and companies to realize that digital marketing is the best way forward for promoting products and services and building brand awareness!

best digital marketing courses in IndiaIf a professional or a small business owner wants to learn more about digital marketing, then there are plenty of digital marketing courses online.

Hubspot Digital Marketing Certification and other such courses definitely help in having a career in digital marketing.

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