Why Digital Marketers Need Exposure to the R Tool?
By Afia Ahmad
A quick read from Wikipedia states that Digital Marketing is the umbrella term for the marketing of products and services using digital technologies. It is done mainly on the internet, but also includes mobile phones, display advertising and any other digital medium.
Secondly, what is R Tool? R Tool is an open source programming language and software environment for statistical computing and graphics. It is used widely by statisticians and data miners for developing statistical software and data analysis.
So why do digital marketers need to use data analytics tools like R? How does it benefit them to invest in learning the language?
Why should digital marketers know about R Tool?
Let us look at some of the aspects that put the word Digital in Digital Marketing: SEO, web analytics, SEM, web designing, User Experience and marketing automation. Each of these is performed using various tools and platforms to better the results. Considering the rise of data analytics and data science methodologies, it is time for the marketers to up the ante by taking a non-traditional approach to data analytics.
The best way to start applying techniques from data science to the dataset is to get familiar with R programming. R programming will help achieve the goal of advancing from basic web analytics to predictive analytics and statistics, putting you ahead in the game. You do not need to be a coder to learn R. Its creators have designed the language, not for software developers, but for statisticians. With a large number of free courses available to you on a platter, learning R will be worth the effort.
How does it work?
R-tools are basically a set of Unix/Linux tools that allow basic unsecured administration of Unix/Linux systems by establishing a remote shell. The remote shell (rsh) is a command line computer program that can execute shell commands as another user and on another computer across a computer network. In simple words, the remote shell enables digital marketers to promote their products and services to potential customers based on the users’ internet searches and browsing patterns on social media. The R tool makes digital marketing more effective with its enhanced targeting to specific potential customers.
The use of data sciences in digital marketing will provide expertise in predicting the future like upcoming seasonal cycles, unexpected demand spikes, potential competitive threats, etc. The tools could even help in anticipating the effects of marketing campaigns like the number of new customers expected from a new advertisement, the reaction to a brand announcement, the effects of a new logo, etc.
With the volume of marketing data increasing swiftly, there is a need for individuals to be able to make sense of the expansive database. There is a growing need for digital marketing professionals with an analytics skill set as well to manage the flow, integration and usage of marketing data. Explore our program on Advanced Business Analytics with the R Tool.