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It's not surprising that you hear the word Python used so often. Python is the fastest growing and most popular programming language today. But why should you learn Python as a marketer, you're not a programmer, right? I can give you a short answer to this. By learning Python, you will become the marketer of the future! With Python, you can not only significantly improve your data insights, but you can also automate quite a few tasks. We give you 5 reasons to learn Python.
Nowadays, a marketer without data is like a bike without a steering wheel. Getting ahead is going to be nice, but steering in the right direction will be very difficult. What do we mean by this? Without data, as a marketer, you are not sure if you are moving in the right direction. The time where the marketer came up with a campaign and watched what came out afterwards is a thing of the past. Nowadays, marketers are expected to systematically collect data, set up good KPIs and achieve measurable results.
You are probably already collecting data from multiple data sources and thus have valuable information. Most data analyses are done by marketers through A/B tests with Google Optimize or similar tools. This way, you'll get quite a lot of useful insights. By using Python, you can collect even more valuable data! This way, you can identify “negative keywords”, discover behavioral patterns and understand which triggers provide a “nudge” in the right direction.
Not convinced yet? All the extra data you collect with Python will ensure that your ROI calculations will be even more accurate from now on.
Fortunately, as a marketer, you now have more than enough data to be able to work data-driven. In many cases, you even have so much data, from different data sources, that you can't see the forest for the trees. Do you process a lot of data manually in Excel? Seems like a waste of your valuable time. Aren't there much more important and/or more fun activities you can do? If you agree, then it's definitely time to learn Python.
Okay, you probably collect data from different data sources quite regularly in order to ultimately make the perfect data analysis. Python is a great programming language when it comes to processing data automatically. Suppose you manually process data in Excel every Friday and then have to dig through all the data to get the correct data.
You only have to write lines of code in Python once and everything goes exactly the way you want it. With the code you've written, Python can automatically extract relevant information from the database and then process it into a spreadsheet. What more do you want? As a result, you work faster, have to do less and you make fewer mistakes. From now on, you will only focus on data analysis and presentation of this data.
As a marketer, you know better than anyone that competitors' prices are important. It's smart to regularly monitor competitors' prices. You can use Python to continuously monitor competition prices. As a result, you no longer have to Google yourself every day. If you have more experience with Python, you can also fully automatically adjust your prices to those of the competitor. To take it to an even higher level, you could even adapt price units to your buyer personas. Isn't it great that this is possible?
As a marketer, are you involved in Search Engine Optimization (SEO)? Then there is a good chance that you are using Screaming Frog.
You're most likely to use it regularly to check for missing content, improve your link structure, and prevent duplicate content. The biggest disadvantage of this tool is that you will always be chasing the facts. After all, you have to run the program first to find out what problems you need to solve.
By using Python, you can now work proactively instead of reactively. For example, you can write a script that automatically notifies you when changes are made by colleagues that may be negative for the ranking of your website. In addition, you can also use Python to check your website for headings and structured data, for example.
Python is a somewhat friendlier programming language that is easier to understand by a beginner than the average programming language. This is due to the language's clear syntax and readability. As you've read, Python is a great programming language for marketers because it can help you collect and process data, keep an eye on competitors, and keep track of your daily SEO activities. And these are just a few examples, with Python you can do so much more!
Do you want to become the marketer of the future? Then start today with the learning Python.
