Top 5 Reasons to Use Python for Marketers
Python is extensively utilized in automating different tasks used for digital marketing campaigns nowadays. The most objective of using Python as an automation code development is to enhance the marketing efficiency and effectiveness to make a competitive advantage over the competitors.
Let’s find out a couple of important reasons for using the Python for marketing within the modern digital marketing field.
1. Sizable amount of knowledge Analytics Libraries
Python language is powered by numerous data analytics related libraries that are extensively useful for the digital marketing professionals. The examples of such tools include NumPy, Pandas, StatsModel, SciPy and others.
These tools are large-scale libraries for data mining, analyzing, converting, cleaning, processing, summarizing, visualizing, and reporting.
There are many other libraries that can help you get a deeper perspective on the user data that you, as a marketer, are interested in. The present-day digital marketing is useless if it is not properly driven by the meaningful information behind it.
The information can efficiently be achieved by using the power of the Python language. CTOs also look to hire python developers as their marketing needs get satisfied more easily.
2. Increased Data Mining Efficiency
By using the Python programming language, the marketers achieve huge efficiency in the data mining process. The traditional data mining processes mostly used excel sheet processing, which has its own limits and performance.
For instance, processing an excel sheet of about 100 MB data at a better speed and performance would be difficult.
But, Python code can just roll in the hay during a few seconds without sweating in the least . Thus, Python increases the efficiency of knowledge mining processes commonly used for getting insight into the marketing campaigns also as launching the new campaigns.
3. Improved Search Engine Optimization (SEO)
Search engine optimization or SEO is one of the core components to make your marketing campaign a success. A better ranking index of the website can help improve the visibility of your website and business.
A large number of matters related to SEO, such as 404 errors, meta tags, descriptions, robot text file, content duplication, faulty navigation map, and others can easily be detected through a custom Python code for automating the SEO process.
Once the SEO faults are detected, it is easy to remove them instantly before they could damage the search engine ranking badly. It is very critical to use the simplest white label SEO rules recommended for a high ranking index, which may be achieved by getting a deeper perspective on the web site technical and content related issues within the early stages.
4. Efficient Use of Big Data
According to the Research and Markets predictions, the global market of big data will grow over 14% CAGR for the next three years from the present value of about $65 billion in 2018.
The total volume of big data will cross 44 zettabytes by 2020. To skim the valuable information from this valuable heap of data, Python plays an important role. Developing customized Python codes to combine, process, analyze, and visualize the big data makes the big data so useful for the marketers.
5. Effective Campaign Monitoring
One of the most critical bottlenecks in making the digital marketing campaigns successful includes the monitoring and course correction of the marketing campaigns. The use of Python custom codes can make life so easy in monitoring the ads, effectiveness, clicks, checkouts, conversion rate, and other parameters in the real-time.
This monitoring can help the marketers make the campaigns more focused towards the desired segments by correcting the fault lines in the campaign components. A good Python code is able to monitor Facebook, Google, YouTube, and other ads in real time by using the APIs of the social websites.
Now, you know how Python & its framework Django works. Let’s take a look at its competitor “Java” which is also trending in the market.