Marketing is a challenging profession as it is and adding Python to the mix? It might sound like we’re adding to your already long list of skills and to-dos, but hear us out.
To create sound marketing strategies, marketers rely on data analytics. After all, the main goal of marketing is to achieve the marketing return on investment at greater lengths and at a pace faster than ever before. This wouldn’t be possible without technologies such as Python, PHP, or Java by your side to make the process more efficient through automation.
To support their marketers, many companies hire Python developers for website development and other digital marketing endeavors. However, it’s best to have this skill at the ready so you can overcome any challenges that you may encounter as you implement your strategies.
Once you’ve gotten the hang of it, Python can help in the following aspects:
Streamline your data collection process from multiple sources
Create valuable and professional-looking data visualization
More efficient data analytics
More accurate ROI calculations
Increased ROI with the help of machine learning models
Automation of customer segmentation, A/B testing, and customer feedback analysis
Learning Python
Now, we understand that learning how to program is extremely intimidating, but it’s still worth a shot. You don’t need to have any software background at all. If you’re tech-savvy and have an idea of how to perform data analytics with spreadsheet programs such as Excel or Google Sheets, then learning Python shouldn’t be that difficult. You only need to be dedicated and motivated enough to learn.
Compared to other programming languages, Python is straightforward and easy to learn because of its clear syntax and legibility. It’s perfect for beginners like you, but you need to be careful when choosing the course or courses you will take online. You don’t need to acquire all the knowledge and skills software engineers have. See what fits you and your particular needs such as automating your marketing activities.
Let’s take a closer look at how Python improves your efficiency and effectiveness as a marketer.
Reasons To Use Python For Marketing
To Create Well-Thought-Out Reports
We’ve all been there—gathering tons and tons of data from various sources and arranging them into something comprehensible. You’ve got multiple CSV or Excel files open, waiting to be merged. This is a slow and painstaking process that will only eat up your time.
For periodic reports, Python is a great tool for data pre-processing, analytics, and data visualization. Write a code once to create your first report and your subsequent reports will come to you in a flash once you run the code again on a new dataset.
Python language is controlled by different analytics libraries that are helpful for marketers. These tools include Pandas, NumPy, SciPy, StatsModel, and many others. You can use these for data mining, analyzing, converting, cleaning, processing, summarizing, and visualizing data.
To Automate Repetitive Marketing Tasks
Every job has tasks that often feel monotonous but still consume a lot of your time when performed manually. With Python, you can automate these activities by making short and custom software programming.
Simple marketing activities you can automate include multiple file management, multiple file renaming, and data form fulfillment. You can also search for multiple folders and files and perform file cleaning duties with Python.
Once you’ve created your program, you wouldn’t have to spend a lot of time on these tasks and work on bigger things instead.
To Monitor and Analyze Campaigns Effectively
Once you’ve launched your marketing campaigns, what comes next is the monitoring, analysis, and review of the campaign to assess its performance and create any changes if needed. Better content means getting more customers, after all.
Python has the ability to develop software programs that can monitor and analyze campaigns in organized and structured ways.
One such example is through A/B testing. This important marketing tool compares versions of different media such as websites, ads, or apps to find out what performs best. With Python, you can streamline this process and define the statistical significance of the difference between the audience exposed to ad A versus the audience exposed to ad B.
While A/B testing is a great technique to understand your audience better, it often comes to a period when you’re not using the best option for part of your audience, resulting in a loss of revenue. With multi-armed contextual bandits implemented with Python, you don’t need to wait until the end of your test to know what the best option is.
Bandit tests inspect and utilize various options simultaneously and gradually move to what’s better. This may require a little more coding experience, but creating more optimized content, will be worth it.
To Achieve Improved Search Engine Optimization (SEO)
One of the core components of any digital marketing campaign right now is SEO. When your website has a better ranking index, you can improve the visibility of your website and business. With Python, you can automate a large number of matters related to SEO. These include meta tags, descriptions, 404 errors, content duplication, robot text files, and others.
Python makes identifying these issues easier through custom code for automating your SEO process. Once detected, these are removed instantly before they can damage your website’s search engine ranking.
To Consolidate and Analyze Customer Feedback
When it comes to feedback, customers use various channels to leave their thoughts about the products or services they utilize. It’s hard to analyze every review when they are placed on different websites or social media platforms. The answer to this problem? Automation.
With natural language processing or NLP, you can automate what your customers are saying and get valuable insights to answer questions such as:
What about your product or service do your customers like or dislike?
Do customers' perceptions about your brand change with time?
Do your customers develop an emotional attachment to your product or service?
Once you have your feedback analysis, you can then use this to your advantage.
Basically, Python makes your life as a marketer easier. It automates your marketing processes and simplifies tasks that you do daily. In today’s data-driven world, programming skills are not just a bonus for marketers, they’re necessary to create more compelling marketing campaigns.
About The Author:
Bash Sarmiento
Author | Bash Sarmiento Writing
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