What Is The Relevance Of Coding In Digital Marketing?
The necessity of the marketer’s skillset keeps widening as digital marketing becomes prominent. It comprises of at least fundamental to proficient knowledge of HTML, Bootstrap, CSS, SQL, and JavaScript.
The knowledge entirely depends on the requirement of your marketing role or strategy. It is essential to understand more than one.
As the fact remains, you can’t handle something you don’t comprehend!
Why Is Coding Essential For A Marketer?
Digital marketers conserve money and time and make operation more smooth. Coding ensures proper interaction between teams and befitting execution of the marketing campaign.
Coding doesn’t substitute employees in lead acquisition, social media, and content development.
Which Programming Languages Are Used In Digital Marketing?
HTML & CSS
Both are essential for marketing & SEO as an internet browser understands the distinction in the positioning of the search engine. HTML helps particularly in finding and editing title tags, meta descriptions, and keywords.
CSS enables organizing and email styling, tweaking landing pages, format data, and form customization on every website.
JavaScript
It helps in Google tracking codes, such as in implementing cross-domain tracking.
It is the perfect language for the execution of tracking codes such as Reddit, Hotjar, Google Ads, etc. Knowledge of JavaScript helps set up advanced tracking.
Advanced tracking enables automation of repetitive tasks in Google Ads, power better Ads’ A/B testings, connect a company’s inventory with ad campaigns, etc.
Python
Python is a beneficial programming language for data analysis.
It enables automation to manage enormous quantities of data to gain in-depth insights for better marketing strategies.
It estimates when a subscriber will leave an app or its subscription. It helps to process bulk social media texts automatically.
SQL
It is outlined for data management held in a relational database management system. It is like Excel on an advanced level of data processing.
It helps in performing quick and simple data queries or analyses on as large as multi-million-line datasets.
It doesn’t have a user-friendly interface; to access data and make detailed queries, you require to write instructions based on codes.
