The Utility and Importance of Python for Marketers

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The Utility and Importance of Python for
Marketers

• Python for Marketers Python for Digital
  Marketing
• Python for Marketing Analytics

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• Python is the buzzword thats making the rounds
  across all major business circles these days.
  Ever since data has become the focal point of
  business, programming skills is a feather that
  most serious professionals want in their caps. 
• For marketers, huge data sets are a part and
  parcel of everyday life. From processing large
  amounts of product data over a million years to
  figuring out which customer demographics responds
  the best to a shiny, new campaign, marketers may
  find themselves drowning in figures for a
  majority of their careers. 
• Learning how to code can help wade through some
  of these issues.
• Should You, as a Marketer, Learn to Code?
• While coding is in no way a panacea to all
  marketing problems, it can make number crunching
  and analysis simpler. 

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• Some may argue that MS Excel does that job just
  fine after all, a single spreadsheet can handle
  up to 2 GB of data. Yet, feed your Excel file
  over 50 MB of data at once and watch its
  efficiency and speed flounder. Moreover, with
  Excel, you will find yourself submerged under a
  pile of repetitive tasks, applying the same
  formulae over and over again across different
  products and clients. With coding, you can ditch
  the repetition and focus all that extra time on
  innovation! 
• Besides, with the world going digital, learning
  at least basic tech speak will only help your
  case with digitization and a stronger online
  presence. Here is how coding can help you up your
  marketing game
• You can communicate with tech partners better
  about what exactly you want from your website or
  portal. 
• You can save time and money with automating
  mundane tasks. 
• You can build more targeted marketing campaigns
  using analytics. 
• Programming will teach you better problem-solving
  skills. 
• Coding will give you better digital marketing
  skills. 

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• Choosing the Right Language
• Once youre convinced that coding can help you
  bring your a-game to the table as a marketer, the
  next step is to choose the right language.
  Several languages may come to mind SQL,
  JavaScript, R, Python. For those whove done some
  research in this sphere, you will know that the
  contention is between R and Python for marketers,
  really.
• While both languages are rooted in data science
  and subsequent visual representation, which can
  be a huge boon for marketers, there are some
  basic differences between the two. R is a
  functional programming language that was built by
  academicians and statisticians. Hence, the
  language is more nuanced. Python is largely
  object oriented, with user-friendly language that
  makes it accessible to non-math or non-tech
  folk. 
• Simply for its accessibility and ease of
  learning, Python for Marketers is a clear win, at
  least at the start of the journey. Moreover,
  Python is better at automation of manual data
  processes when compared to R. While R may be
  better for deep-dive statistical analysis, Python
  is more useful for deployment and reproducibility
  of said analysis. In short, Python for digital
  marketing is a sure shot to better visuals and
  consequently, a more engaged audience. 

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• Four Ways Python Can Spruce Your Marketing Game
• If you are still on the fence about whether
  python for marketers will be useful enough, here
  are four ways to use the language in
  marketing 1. Python for Marketing Automation
• As already noted above, Python is great when it
  comes to automation. For instance, say you need
  to analyze weekly sales data every Friday.
  Instead of manually downloading it to Excel every
  week and then sorting through a slush pile of
  information, an appropriate Python script can
  pull relevant information from a database, write
  it onto a spreadsheet and sort it to your liking
  within seconds. You will only need to write the
  code once. In subsequent weeks, you can focus on
  data analysis and representation. Saved time,
  effort, and money! 
• 2. Python for Campaign Automation
• Say you bag an e-commerce client who needs an
  extensive marketing strategy that involves
  separate campaigns for each of its products. If
  the company has products in the tens, then
  individual marketing campaigns can be relatively
  easy to create. Now, imagine a client with 100
  products creating and updating campaigns
  individually for each of them can be a nightmare.
  Python can help you automate the repetitive
  aspects of the campaign, thereby saving you a
  considerable amount of time and effort. 

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• 3. Python for Search Engine Optimization
• In addition to content, social media, email
  marketing, video, ads and promotions, SEO is an
  important component of digital marketing. Python
  for digital marketing can be a powerful tool that
  will help not only with automating the SEO
  process, but also integrating all these
  components into an effective marketing campaign.
  Tools like SEO analyzer in Python can help you
  improve your word count, meta descriptions and
  on-page keywords to attract more traffic. Python
  will also help you check and fix broken links so
  your users have fewer error messages to deal
  with. 
• 4. Python for Marketing Analytics
• Apart from using Python for marketing research,
  automation and optimization, Python can come in
  handy for analysis and visualization as well.
  Python can help with A/B testing to figure out
  which website version works best, generate
  keyword negatives, analyze user behaviour
  patterns, pinpoint campaign reach and outline
  demographics and help with decision making in
  general. Python is also a great tool to analyze
  customer feedback. Using natural language
  processing, you can automate customer feedback
  processing and generate valuable insights. 

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• How to Get Started
• Now that youre convinced about adding Python to
  your marketing CV, getting started on learning
  the language is fairly simple. Python is an
  open-source code, meaning that the resources to
  learn the language are available for free online.
  Download the program on Python.org as the first
  step. 
• Many online educational platforms like Coursera,
  Udemy and Udacity offer excellent courses to help
  you get started. For instance, Udemys Automate
  the Boring Stuff with Python Programming will
  have your basics covered. Or you could check out
  the Automate the Boring Stuff website directly to
  understand how to use python for marketing
  automation. 
• If you want to get started right at the basics,
  check out Courseras Python for Everybody. If
  youd rather read, check out Python Crash
  Course by Eric Matthes for a pretty comprehensive
  beginners guide. To get answers from other
  fellow Python coders, post any doubts you may
  have on Stack Overflow, Reddit or GitHub to
  crowdsource solutions!  

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• Key Takeaways
• Coding, though not necessary, can help marketers
  crunch data, analyze and visualize better. 
• Python is the go-to programming language for
  newbie marketing coders due to its simple
  language, easy accessibility and wide-spread
  applicability.
• Python can be used for marketing automation,
  research, analytics and optimization. 
• Since pythonPython can be a boon for digital
  marketers, given its analytical and visualization
  capabilities. 
• Python is an open-source language, you can get
  started with classes online.