The Utility and Importance of Python for Marketers - PowerPoint PPT Presentation

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The Utility and Importance of Python for Marketers

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Python is the buzzword that’s 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. – PowerPoint PPT presentation

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Title: The Utility and Importance of Python for Marketers


1
The Utility and Importance of Python for
Marketers
  • Python for Marketers Python for Digital
    Marketing
  • Python for Marketing Analytics

2
  • 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. 

3
  • 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. 

4
  • 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. 

5
  • 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. 

6
  • 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. 

7
  • 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!  

8
  • 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.
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