''Data Engineering'', The Best Thing Happening To Social Media Platforms?

Is there any one thing that is common among social media platforms like Twitter and Facebook? Yes, the enormous amount of data that they generate on a daily basis. According to this 2018 Forbes article, Facebook alone has 1.5 billion active users on a daily basis with 300 million photographs getting uploaded each day. Similarly, Instagram has a total number of 400 million active users each day posting 95 million photographs and videos.

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Social media companies are not just generating large volumes of big data through content marketing and advertising but are also using a variety of business analytics tools to pull insights from the user such as age, place of location, gender, and their buying patterns. Additionally, small retail companies are using social media data to shape their online marketing campaigns. A prime example of this is the phone case manufacturer, Peel, which used the Facebook platform to register a 16x growth in their revenue. 

Data Science vs Data Engineering

Whether it is for achieving business goals or foreseeing business problems, big data analytics is enabling organizations to move forward more decisively and respond better to market challenges. However, due to the high complexity of big data, companies need to recruit professionals with a high level of data expertise to implement big data-based solutions.

The growing demand (and shortage) of data specialists in fields like data science and data analysis is a reflection of the rising industry importance of the data science field. 

At its core, data science is the process of efficient collection, processing, and visualization of big data. A data scientist typically needs to perform the following functions:

1. Define the business problem and ask the right questions on a given dataset.

2. Use a variety of statistical, machine learning, and data mining tools (built using R, Python, or MySQL) to get the required answers from the dataset.

3. Communicate the results of the data analysis through data visualizationtools.

Even with all the potential shown by big data projects and the role of data scientists, Gartner reported that only arospecialized big data projects actually end up in actual production. 

Data engineering is a specialised field that is critical for moving data science projects into production. Tomer Shiran, CEO of the big data middleware company, Dremio states that for the successful implementation of a data science project, companies will “typically take a ratio of one data engineer for every two data scientists.”

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So, what is data engineering and how do data engineers differ from data scientists? In simple terms, a data engineer enables the data scientist to perform their job more efficiently by:

1. Building a data pipeline infrastructure for better data handling.

2. Improving the productivity of the data team by foreseeing production needs and removing any system bottlenecks.

3. Performing data collection and storage using various scripting languages.

4. Constructing data stores on database systems.

As compared to the intellectual knowledge of the data scientist, data engineers have more hands-on data skills that can be used to provide clean and structured data to the business. Data engineers are also more conversant with the best practices in software engineering, computer science, and database systems, along with data engineering technologies such as Hadoop and Kafka. 

In the following section, we shall discuss 5 future trends of data engineering and how it is shaping business enterprises including social media companies.

Investments in Big Data

Companies that are investing in Big Data technologies must also be flexible enough to deal with constant changes in the way big data is handled and managed. Starting from Hadoop as the preferred environment, data engineering is moving towards adopting Spark or even a server-less environment in the near future. As an example, customers engagement company, Freshworks is boosting its investments in data science aimed to speed up its product development.

Improving ROI using Social Media Data

Be it for social media marketing or customer service, digital companies are increasing their presence on social media platforms to improve their ROI. A 2018 survey by Sprout Social concluded that improving the ROI on social media (or social ROI) is important for 55% of social media marketers.

In simple terms, social media data is used to show how online users are engaging with your social media content. Data engineers can use a variety of social media data including shares, hashtag usage, URL clicks, and keywords for performing data mining and analysis.

Depending on your organizational goal and the preferred social media platform for your business, Social ROI can be measured through various KPIs and metrics such as:

1. For Facebook:

 a) User engagement including likes, comments, and shares

 b) Impressions measuring the number of times users viewed your Facebook page

 c) Organic likes generated without any online ad campaign

 d) Page likes

 e) Paid likes generated from a paid digital ad campaign

 f) Type of reactions including Like, Love, Sad, or Angry

 g) Number of unlikes

2. For Instagram:

 a) Account impressions measuring the number of views for your stories

 b) Total reach measuring the number of unique views of your posts

 c) Website clicks and Profile visits

 d) Number of likes and comments on your posts

3. For Twitter:

 a) User engagement including clicks, retweets, and replies

 b) Number of Twitter followers

 c) Use of hashtags and @username by others

 d) Number of posted and viewed tweets

4. For LinkedIn:

 a) User engagement including the number of clicks on posts and company name

 b) Number of new followers

 c) User interactions including likes, comments, and shares

Data portability

To save cost and time, an increasing number of companies are moving their big data to cloud-based platforms and solutions. However, lack of portability remains a major challenge as each of the cloud vendors use written code that is often incompatible with another vendor offering cloud services. To enable data portability, Google is offering cloud portability solutions (in association with VMWare) that allow software engineers to create and deploy web applications across multiple cloud environments. Data portability across multiple cloud environments is going to be a major enabler of data science-based solutions in the future.

How Data Engineers are using Social Media

Do data engineers use Social media platforms to gather data for their work? The findings of a 2017 survey of nearly 1200 engineers and design professionals by Engineering.com seems to suggest that the answer is “yes.” 

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41% of the surveyed engineers revealed that they collect their engineering content from social media platforms. Additionally, 39% of the surveyed professionals acquire their information from the 3 largest platforms namely Facebook, Twitter, and LinkedIn.

Another interesting trend is the growing availability of social media datasetsthat can be used by data specialists including data engineers. These large and free datasets are an integral requirement for data science projects and can be a reliable resource for developing a new data algorithm. An example of this is the Flickr Creative Commons dataset by Yahoo Webscope containing nearly 100 million images and 0.7 million videos. The cloud service provider, Infochimps has the Twitter Census dataset product that provides datasets derived from over 35 million tweets.

Managing a shortage of resources

Software and Big data companies are adopting innovative ways to overcome the market shortage of qualified personnel in data engineering, Retail company, Overstock, monitors its retail customer’s buying behavior through its One-to-One marketing machine that was built using a cloud-powered data analytics solution. Data scientists are taking on some of the functions performed by data engineers, as a result of which companies are looking at performing data integration in place of using data lakes.

Conclusion

Along with the abundance of data generated by popular social media platforms like Facebook, Twitter, and Instagram, social media data is a valuable input for data scientists and engineers in business enterprises to implement Big data projects and solutions. 

This article evaluates the important role played by data engineers and how they have a different skill set as compared to that of data scientists. Additionally, this article covers some of the visible future trends of data engineering and social media data and how they are shaping modern business corporations.

How Much Control do Data Scientists Have over a Product Change?

From getting up in the morning to reading news, exercising, making breakfast choices, taking a cab or driving to work, working, socializing, driving back and getting some entertainment in the evening – everything we do today involves technology personalized to you. Wondering how those apps on your phone, tablets, or computers know about you and tailor their offerings to your best usage. The answer lies in the data! 

The data they collect, process, and utilize to personalize your experience powers these technology products. This utilization of data is not limited to the consumer apps, it’s far widespread and finds its usage in all walks of life, industries, and society at large.

The people who derive value from scattered data and transform it into immensely useful form are ‘data scientists’. Their role takes the center stage in envisioning, building, and shaping of a product. World-leading products, such as Facebook, Google, AirBnB, Twitter and etc. have teams with a solid data science skillset. It’s really the synergy between the cross-disciplined teams that give rise to truly habit-forming products.

In this article, we’ll discuss the role data scientists play in transforming an idea into reality.

Role of Data Scientists in a Product’s Lifecycle

Data scientists play a very important role in various aspects related to product development, which includes:

1.Ensuring product viability

2.Identifying the right target markets and product’s sweet spot

3.Defining and refining user journeys

4.Product building and implementation

5.Product progress tracking on metrics

6.Success tracking of a product

7.Course correction and providing feedback

8.Marketing and sales

9.Future roadmap definition

A typical relationship between data science and product development looks like: 

Image Source: http://engineering.pivotal.io/post/continuous-integration-for-data-science/

Myths Related to Data Scientists’ Roles in Product Development

There are several myths associated with the role of data scientists in the process of product development, such as:

Data scientists are an external entity to a product team

Data scientists are responsible to perform important functions at every single stage of the product lifecycle. Their deliverables help multiple stakeholders, including product leadership, technical teams, and customers. This is why considering them as external to the core system is one of the worst myths.

Data sciences are purely about predicting outcomes

Data science includes many skills beyond just predictive analytics. They, along with the data architects, are responsible for defining ways to collect data points, process and cleanse the data, store and secure the data, and in the end, perform analytics based on the business needs.

Data Science is an elegant way of producing reports

Reporting is just one of the several deliverables expected from data scientists. In addition to reporting, data scientists provide actionable insights, build data science related features, perform prescriptive, descriptive and predictive analytics and contribute to numerous decisions that involve data.

Accuracy of Analytics Outcomes is only dependent on the quantity of data

A common myth is, you need to provide large volumes of data to get correct results. This is absolutely untrue because of multiple reasons, such as:

1.Incorrect models will not deliver good results regardless of the data volumes

2.Quality of data directly affects the accuracy of outcomes

3.Too many independent variables introduce complexity that may impact results

Success Stories of Companies Using Data Science to Shape Their Products

1) DBS uses Data Sciences to Expand its Reach while Reducing Trade Anomalies

Image Source: https://www.dbs.com.sg/sme/wc-articles/digital-solutions-boost-efficiency.page

DBS, with its flagship product DigiBank, uses data sciences for multiple purposes, including marketing, business insights, and for transaction monitoring, credit monitoring, risk scoring, and fraud detection. For marketing and business insights, it utilizes data sciences to achieve identification of the right target segments, designing and running campaigns, tracking effectiveness and understanding the next best actions for their targeted segments. 

Also, they have developed a trade alerts program that gave the bank a robust platform for detecting trade anomalies. This has boosted their ability to understand their clients better, make accurate judgments about the nature of their transactions, and even detect fraud anomalies based on the transaction trends. 

With the use of data science effectively, DBS is now better equipped to comply with AML (Anti Money Laundering) regulations.

2) Google Maps Uses Data Sciences to Guide you Accurately

Do you realize how Google Maps offers you extremely accurate driving directions based on your constantly changing location on the go? The accuracy of their prediction is dependent upon the countless data points they capture and analyze user data sciences as their core weapon.

 Google takes into account data obtained from its users’ movements as well as from its partnerships with the local city authorities to elicit construction updates, road closures, and accident data. For this specific purpose, they acquired a start-up, known as Waze, in 2013 and integrated it into their maps offering. 

 

3) Shell Improves Productivity by Detecting Machine Failures

 

Image source: https://www.ibmbigdatahub.com/blog/improving-oil-and-gas-operations-big-data-and-analytics

An Oil & Gas giant, Shell successfully uses data sciences to gain a multi-faceted impact on the quality of its processes, business decisions, maintenance costs, and environmental impact. Shell has transformed its asset management systems to use SAS that helps detect the machine anomalies at various sites, regardless of accessibility by humans. This directly extends the lifespans of their machines, which is a significant saving for the organization.

At Shell, data science is also empowering their business leaders to make decisions based on real data, eliminating the guesswork from decision making. This greatly reduces the operational, financial and reputational risk for them. In addition, usage of data sciences helps them understand and take proactive actions in the scenarios related to human safety and environmental impact of their exploration. 

4) Your iPhones Recognizes You By Using Data Sciences

Apple introduced Face ID to enable its users to unlock their iPhones using their facial patterns. A unique combination of powerful hardware and data science algorithms it employs allows you to use Face ID to recognize every user uniquely and accurately. Face ID is able to automatically accommodate the changes in your appearances, such as growing facial hair, wearing cosmetic makeup and even, with accessories, such as hats, glasses, contact lenses, scarves, etc. 

The TrueDepth camera used by Face ID records facial data and captures over 30,000 dots to create a depth map of a user’s face. It then employs its neural network engine to transform the captured data into a mathematical representation, which is then used each time authentication is attempted by a user.

Tips for Data Scientists to Contribute Better and Effectively to the Existing Products

Emphasis On ‘Supremacy Of Data As Source Of Truth’

As a data scientist, you have a special skill, that is, to rely solely on data as opposed to opinions or notions. You should establish yourself as a champion promoting the value of data as the most reliable source of truth. This involves creating a culture where claims are supported by evidence & data. 

A great starting point can be identifying the metrics that can help product during its envisioning, market research, development process, go-to-market plans, and post-deployment activities. Identification, followed by collecting the relevant data and then, analyzing it to present findings that translate into actionable insights, can be your strategy to effect a wider change.

 

Sharpen Your Data Skills Beyond Pure Analytics

Data science is much more than pure analytics. It includes other aspects, such as data collection, data processing, data storage, and securing the data as well. In order to contribute more effectively to product development, it is advisable to become the owner of such aspects. Of course, this requires gaining these skills before you can play the role of a trusted advisor to the product team. Taking an online data science course can prove an extremely advantageous decision. 

Build Reusable Data Sciences Tools To Help Business

Everyone, including the leadership, business teams, clients, and developers can become a true beneficiary of your data science expertise. In order to accomplish this, you can build a data science toolbox that delivers them information analyzed and synthesized per their needs. This requires understanding the demands of the stakeholders per role and then, collecting and analyzing data such that it really helps them make impactful business or technical decisions. In addition, it is vital to obtain regular feedback to ensure that your solution consistently stays on top of the situation.

 

 

Blend Into The Product Development Workstream

One big mistake often made by data scientists is that they tend to work in isolation as long as they have the data to analyze. This reduces their ability to contribute to product development. It is important for the data scientists to act as a core member of the team, following the overall development process, utilizing the skills available in the team, ensuring that data artefacts are tracked, version controlled and deployed in the same way the overall team is following.

And that’s a wrap! Hope this blog post proves to be insightful for you! Feel free to share your thoughts in the comments section! Also, If you seek to upskill your Data Science skills, feel free to check out our Data Science Courses here.

Digital Marketing vs. Traditional Marketing -The Bottom Line

There was a time when the term Marketing meant a very limited set of things. It was about newspaper ads, huge-enough billboards, flyers, television ads, and radio announcements. Indeed, organizations were ready to shell out thousands of dollars in the marketing department, trying to smash the competitors. A number of catchphrases and rather stereotyped advertisements used to dominate the industry. Amidst of all this came the rise of the digital revolution.

Digital Revolution and Digital Marketing

The digital revolution has changed our lives, but that’s another story. As far as marketers were concerned, it did start a new strand — Digital Marketing. Like almost everything else in the world, Marketing became the so-called Traditional Marketing. Now, after more than a decade later, we need to renovate how we reach the right audience at the right time. That is also why the discussion of digital marketing versus traditional marketing comes to the limelight.

Here, we are attempting to have a brief-enough comparison between digital and traditional marketing. We will be considering the major factors, such as affordability, audience control, customizability and the number of potential results, etc. But, before we do that, we have to make the distinction clear-cut. So, to begin with, we will have an introduction to both traditional marketing and digital marketing.

What Is Traditional Marketing?

Traditional marketing, earlier known as marketing, is a bunch of promotional methods using channels such as newspapers, television, flyers, billboards, magazines, radio, etc. The history of traditional marketing goes back to centuries, where people used to distribute pamphlets for commercial and informational purposes. I would love to not get into that old story, though.

In the modern world, traditional marketing found its roots after the bloom of television culture, popularization of newspapers and overall growth of a capitalist society. As we said earlier, before the digital world became popular, marketing meant only these things. You had to potentially spend thousands of dollars if you wanted to run a TV or radio commercial, you know. But, that’s another aspect of it all.

There are thousands of examples to talk about. It’s no surprise that technology companies like Google and Apple have to sometimes depend on traditional marketing channels, to ensure the right client-base. And, it is also an allusion to the countless full-page newspaper ads you see, for iPhone XS or the brand-new vehicle from General Motors.

Here are some brands/influencers that have used traditional marketing at its best: 

1) See Zomato’s creative billboards Ads here. 

2) 50 brilliant billboards Ads and what you can learn from them. 

3) See 40 traffic-stopping billboards Ads here. 

4) Get to know 64 more print Ads here. 

5) See 15 interactive print Ads here. 

What Is Digital Marketing?

Often considered the sibling of the digital revolution, digital marketing is the use of channels such as the Internet, social media, world wide web, Search Engines, and emails, etc. for promoting a product, service, brand or a cause. As it happens, the history goes back to the origins of the Internet. Or, specifically, the point in the history of the Internet where people understood the monetization capacity.

In the course of time, digital marketing has come a long way. From disruptive advertisements to well-planned content marketing campaigns, the growth has been impressive indeed. More importantly, this opened up a gateway for thousands of business owners across the world to reach the targeted audience. Because digital marketing is based on a global network, its globality comes as something default.

Digital Marketing too take different forms nowadays. Let’s start with the routine marketing newsletters you receive on your email and to the taste-curated Facebook Ads you see while scrolling. And yes, we can never ignore the rather impressive way how Google understands what you are looking for and delivers the right ads at the right time.

Here are some brands/influencers that have used digital marketing at its best: 

1) Social Media Marketing on Instagram: Tea Trunk, Raw Pressery, LEGO,GaryVee, Netflix India, Fevicol, etc. (for more creative examples, email us at: webgroup@manipal.edu)

2) Read some Email campaigns examples here and here. 

3) Watch some of the best YouTube Ads here. 

4) Get to know 30 brands with best digital marketing campaigns here.

5) Read more on witty Content Marketing examples here and here. 

6) Get to know the 75 best content writing examples that will give you major SEO boosting goals, here. 

Now, we don’t want to do the pro-con deal here. Instead, we will consider the major aspects of both strands. Shall we begin?

Factor #1 — Effort

By effort, we mean a variety of things, including but not limited to the affordability, the amount of work you have to put in.

Traditional Marketing

Traditional marketing has been quite expensive from the very beginning. You would have to dedicate some thousands of dollars if you want a top-spot advertisement in a newspaper. The story is the same when you’re trying to include a second-long in the primetime TV commercial section. 

In addition to this money, you will have to take extra efforts as well. Because there is so little space on both TV and newspapers, you will have to craft the advertisement at the most precise level. In most cases, you will have to rely on a professional to do this, costing more money than ever. 

Overall, the effort you put into traditional marketing is way too high.

Digital Marketing

Digital Marketing was introduced as an affordable alternative to traditional marketing that could reach a large amount of audience. Compared to what you spend in traditional ways, digital marketing costs only a fraction of everything. The more you’re willing to pay, there is a potential for results though.

You don’t have to be an advertising tycoon to master Digital Marketing either. Nowadays, you can find a lot of simplified Digital Marketing coursesthat can make you an expert in a variety of things, such as SEM, SEO, content marketing and email marketing. And, once you master these, you’re basically the king.

As it happens, you take less effort and pay less.

Factor #2 — Reach

Of course, you want to know where and how deep your marketing campaign reach. Here too, we can spot a big difference between both.

Traditional Marketing

It’s very difficult and nearly impossible to predict the exact reach of your traditional marketing campaign. As you sign the contract, the television channel or newspaper may talk about its active viewers and number of subscribers. But, these don’t really correspond with the number of people who actually see your ad.

More importantly, any interaction via traditional marketing medium is passive. Be it a billboard, commercial on TV or in a newspaper ad, you never know what your audience think about the stuff. Of course, you may be knowing this, but the time will be very late.

The whole deal of reach lacks precision when you’re going traditional.

Digital Marketing

Extensive reach is often the main reason why people go for digital marketing instead of traditional marketing. As we said earlier, the whole deal of digital marketing is based on a global network. So, by paying a fraction of the amount that you normally pay, you can reach out to a relatively huge population.

The nature of the reach is also important — it’s interactive. When you launch an email marketing campaign or content marketing stream, you have the ability to get instant (at least later) feedback. You can also bring in various methods like A/B Testing and multivariate testing to optimize the potential reach.

There is obviously a bigger upgrade here.

Exception: There is, however, one thing to note. There are still areas where digital mediums don’t have extensive reach. But, it finally depends upon whether you’re focusing on that particular population. If that’s the case, you may have to fall back to traditional marketing terms like community radio or a type of local newspaper. 

It is quite unlikely, though, considering that the whole digital network is growing day by day. If we take the case of developing countries like India, a lot of extensions is happening and there are now a lot of ways to reach the local population, via digital.

Factor #3 — Control

 For every marketing campaign to succeed, there should be proper control over the process. It begins with a clear-cut distinction of the audience being targeted.

 Traditional Marketing

Traditional marketing allows a limited amount of control over the marketing process. For instance, when we consider the case of local TV and radio channels, you have an opportunity to focus on a targeted population. In addition to this, you can do individualized marketing as well.

Apart from the preliminary marketing techniques, however, there is nothing new to talk about. When you run an advertisement on TV, you don’t know if your targeted customers are watching your ad. You are not even sure if they are skipping the ad for something else.

There is not much scope for control here.

Digital Marketing

It does not matter whether you are into Social Media Marketing or Search Engine Marketing, there is a lot of scope for control. Ultimately, you get to decide who sees your advertisement campaign and who do not. For instance, in Search Engine Marketing, your ads are shown when a person searches for a particular thing.

There are also options for additional customization. For instance, you can make sure that your ads reach an extremely specific group that has intended tastes and regional affiliations. It means that local businesses to have a way-out in the digital marketing sphere.

You are the one who controls things when you market digitally.

Factor #4 — Results & Analytics

At the end of the day, what people need is results. Or, to use the new marketing vocabulary, everyone needs what we call conversions.

Traditional Marketing

There was a time when traditional marketing was highly effective, but that’s now just a story. Of course, you may have better results while focusing on a particular community. Nevertheless, when we consider that an actual TV commercial cannot make much impression on the user, the numbers fall down.

There is also a problem caused by the lack of data. The last time we checked, TV commercials or radio ads don’t show you the specific data-driven statistics. You never know how many people saw your ad you never know whether the campaign was really effective.

Add to this the expensive nature of every campaign ever.

Digital Marketing

We have already seen that digital marketing is more cost-effective than traditional means. It also happens to be the case that you can reach more people and create more impressions when you are marketing digital. With the same amount spent on both, DM offers better results on any day.

There is also the added benefit of data. Every activity is done in DM — from the user and the marketer — will be recorded. At the end of the day, you will have a huge pile of data to analyze and re-optimize your strategy. This is surely one of the reasons why the sustaining promotion that digital marketing offers.

We would have to consider data at least when we’re in 2019.

Factor #5 — The Miscellaneous

Here, we talk about a few other differences between digital marketing and traditional marketing that you’ve to consider.

Traditional Marketing

One of the bright sides of traditional marketing is that people get to keep their marketing material or feel it experientially. It might be a brochure, a flyer or something else. But, the point is that they have some material that they can look, feel or make use of it again and again. This is often considered an added advantage.

If we go by examples, there are many brands to speak of. Almost every brand used to shell out thousands of dollars in creating brochures to be given out to the customers before, during and after the purchase. Simply by making sure that they have a marketing material at home, these brands were able to enhance the trust, reliability and many others. Of course, they will have to thank ‘mere exposure effect’ for this achievement. 

The best examples of traditional marketing is experienced during a conclave, festivals, concerts, seminars and events. This is because all these events are filled of prints full of different hues - from ID Cards to posters to notepads. The variegated types of prints used in such events appeals the visitor and leaves a lasting impact by its design aesthetics. 

Unlike Digital Marketing, the Traditional Marketing does not give importance to customization instead it aims to cater to a mass audience with common design printables. Is it mediocre? No. Traditional marketing has its own advantages. It is an experiential gateway to touch lives profoundly with words, textures, colors and variegated shapes. 

There are algorithm and platform rules to be considered whilst running a digital Ad. But unlike digital marketing, traditional marketing is borderless. With traditional marketing - you can color streets (via graffiti art), giveaway cards & gift boxes to influencers, print an Ad in the shape of a cloud or flower, print an Ad or do company branding  on infinite objects. Besides the common billboard approach, you can leverage print anywhere - on any spot of the cosmos (with legal permission of course). 

Digital Marketing

Probably the best thing about digital marketing is that it gives the user a choice. There are multiple channels through which you can market the content you know — YouTube, Google Ads, and Facebook being some of the obvious choices. This will help you attract a variety of consumers.

The impact of Digital Marketing was so effective that established brands such as Domino’s, Renault among countless others have a few success stories. Talking about Renault, it was able to sell out 60,000 more cars in the period between 2014 and 2017 by making use of Facebook Ads optimization. In another story, Adidas — the renowned apparel firm — utilized user-generated content from 30,000 Boston Marathon runners to market their sport-oriented products. There are hundreds of other stories where established brands took a digital turn to enhance their sales, re-vitalize their reputation and build a better online image.

In another success story, GoPro made a big-time success by launching the GoPro Movement on Instagram. To everyone’s surprise, despite having a reduced budget of $41,000 in 2013, the brand was able to double its sales. In this particular case, GoPro was utilizing the potential of Instagram, which now records a top-notch conversion rate of 72%, according to Ogilvy.

 

We should also look at the multi-platform nature here. Your single marketing campaign can reach a variety of people who may not have the same device. Thanks to mobile-optimized Email Newsletters and websites, you can keep converting people even when they are traveling.

And yes, we should not forget the easiness of following up.

The Bottom Line

So, above, we have attempted to draw the line between digital marketing and traditional marketing. We had chosen five factors to judge both these strands, and we can finally conclude.

As you have seen, in most of the sections, digital marketing outweighs traditional marketing. For instance, it’s clear that digital marketing is cost-effective, offers more control over the process and offers better results. Unlike the old days, even if you want to focus on a local population, there are ways to do that digitally. It all comes down to the idea that digital marketing is way better.

Well, we don’t mean to say that you can completely ignore traditional marketing. There is an impact on a flyer or a big billboard can make in a person’s mind. But, you should not spend thousands of dollars there either. Here’s some practical advice to begin with: if you are short on budget, start with digital marketing. We can build further when you keep growing.

And that’s a wrap! We hope you leverage and test both - traditional marketing and digital marketing and analyze what works for your brand. With consistent efforts you’ll definitely know that both these mediums matter and are needed for a successful 360 degree marketing campaign for brands of every industry.