Outside the Box Applications of Skills From Data Science Short Courses for Marketers

learn data science online

Marketing efforts are critical to most businesses' strategies for raising awareness of themselves and their products. Given this importance, there's a real need to be able to identify successful strategies, upward and downward sales trends, and other data indicative of the ongoing effectiveness of marketing. Consequently, professionals in the sector today are increasingly seeking out training in data science to help drive their efforts.

Curious about how marketers are turning to data science? It goes well beyond idea generation and analytic review of published marketing material. Here are some of the outside the box applications worth considering.

Big Data Can Help With Enhancing Targeting for Marketing Efforts

In marketing, defining target audiences to whom content should be addressed is an important part of finding success. Traditionally, this work has been completed with relatively small amounts of data, but introducing data science techniques can lead to exciting new opportunities to achieve great results.

Huge amounts of sales data, browsing data, social media interactions, and much more could all be combined and analysed as a part of a comprehensive effort to discover patterns in the types of individuals who respond to marketing and become clients or customers.

Serving as a basis for all future marketing efforts, this type of deep, analytical approach to targeting can be truly transformative, and enhance all other efforts going forward. It's an ambitious project for a new data science expert, but one well worth pursuing.

data science short coursesData can create far more detailed and useful targeting for marketing efforts

Automate Budget Distribution by Modelling Spending History & Return on Investment

Marketing is a process of continual refinement, with per-channel budgeting ideally evolving in response to results generated by ongoing campaigns. When a particular channel begins to perform better, it might be time to designate a little more money toward expanding its influence. When a particular channel begins to falter, it might be time to either reduce its budget or reassess your approach.

This balancing act can require a fair amount of attention to pull off correctly under normal circumstances. With training from data science short courses, though, it becomes possible to draw on historical trends in reach, ROI, and other data to create a system that automatically allocates budget for maximum effect at any given moment. Automating work in this manner can make for much more streamlined marketing activity, and a greater ability to devote attention to other, more creative dimensions of the work.

An Online Data Science Course for Marketers Could Help Transform UX

The user experience when engaging with a website, digital property, or product is itself an important piece of the marketing puzzle. Greater ease of use will nearly always lead to greater sales numbers, and perhaps even to better word of mouth recommendations. Customers who love a particular experience often go on to evangelise for it.

Professionals who elect to learn data science online gain skills that could be applied to glean a wealth of information about the ways in which user experience for products and properties might be improved. Use it to find problem areas that distract users from an intended path or goal, or to determine whether patterns emerge in searches or questions that might suggest critical context is lacking. You might be surprised by just how effective this can be at driving more conversions over time, and at how grateful users might be for the changes.

Online data science course for marketersData science tools could help refine UX for better results

Do you want to improve your marketing efforts with data analysis?

Contact Southampton Data Science Academy to learn about our online data science course for marketers!

Topics: online data science course for marketers, data science short courses, learn data science online

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