In this context, it is only normal that more and more marketers are asking themselves : “Do digital marketers need to know coding ?”
In my opinion, the answer is no ! Whether we’re talking about analytics, landing page building, reporting or other common marketing tasks, you can be assured that there is a no-code tool out there that can you can use, without having to write a single line of code.
That said, coding can definitely be helpful when you need more personalization, so today, we’re going to go over in the best programming languages for digital marketing, and how they can improve your marketing efforts.
Even if you’re not a developer, chances are that you’ve heard about Python. Indeed, it’s relatively easy to learn (yes, even for beginners), and it has a very rich ecosystem, which means that most of the questions you have about Python have probably been already answered somewhere on the web.
How is Python used in digital marketing, you ask ?
Well, as it’s a very versatile language, it can be used in various ways :
This is why I personally decided to start learning Python. I found myself doing a lot of repetitive tasks, like exporting ads campaign results every week for reporting. Using Python and the Facebook Ads API, I’m able to generate automated reports and save hours of work every month !
Even if there is a lot of very good no-code automation tools on the market (my favorite ones are Phantombuster, Integromat & Parabola), there are times when I need to do something very specific that is not supported by any tool, and knowing some Python basics really helps.
The best part ? You don’t even have to be a Python pro to do this !
My Python proficiency is still very limited, but I’m still able to automate some tasks when I need to.
This is one of my favorite ways to use Python for marketing !
Let me show you why I love it so much : Imagine that you want to retrieve a list of all the pizzerias in New York, with their address and their number. You can go on yelp.com and copy/paste all of the addresses by hand, or you can build a scraping bot !
Web scraping is a great way to extract large amounts of information from a website automatically, and it’s actually more simple than it sounds thanks to scraping framework like Beautiful Soup or Scrapy.
The benefit of using Python for webscraping instead of no-code tools is that it’s 100% free, and since you’re writing the code, you can do pretty much anything you want.
Finally, Python can also be used to analyze customer data in-depth : predict customer churn, forecast customer lifetime value, and build customer segments based on their product purchase patterns.
Doing data analysis is more of an advanced skill, so here are some courses to start learning (I’m not affiliated with any of those courses btw) :
In marketing, it’s principally used for tracking and web development.
You have probably experienced the frustration of wanting to make changes to your landing page, and not being able to because you don’t know how to code 😥
HTML is used to structure and display the webpage with headings, data tables, and other elements, and then CSS applies style to this content, such as colors, fonts and much more.
Does SEO requires coding in HTML or CSS ? No, but since it’s the languages that search engines use to read your sites, knowing them is a way to improve the way you structure your content for search engines.
If that sounds like something you would like to learn, here’s some links :
And that’s it for today ! I hope that you know have more information on whether digital marketers need to know coding or not.
Before you leave for good, here are some words of wisdom that summarize perfectly my thoughts on this topic :
“Programming is important … in the right context, for some people. But so are a lot of skills. I would no more urge everyone to learn programming than I would urge everyone to learn plumbing.” Jeff Atwood, Please don’t learn to code