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Artificial Intelligence in Marketing

Artificial Marketing Marketing is a strategy to leverage data and machine learning to deliver campaigns that help to more effectively achieve a brand's goals. Most marketers use AI in market research, data science, and real-time analysis of campaigns. (adverity.com, 2019)



Advantages of Artificial Intelligence in Marketing 

1. Faster data analysis

The marketers can analyse complex data sets faster than a human with artificial intelligence. But this increased speed doesn't just mean more efficiency. Or the ability to rally and act more quickly on insights. It also suggests organisations could manually reduce the time associated with data processing. Because of Faster data analysis, they could launch more effective campaigns quicker and at a lower cost, deliver higher ROI. (adverity.com, 2019)

2. More accurate insights

Using AI, more detailed analyses of the data can be performed. Multiple data sets can be broken down with various machine learning algorithm correlate with other information, and provide deeper insights into them. The above for a marketer means, at last, having the ability to use more ideas when planning campaigns. And also, being able to act on those findings much quicker. (adverity.com, 2019)

3. Greater efficiency

Marketing campaigns today must be 100% relevant to the target audience. Sadly, many marketers lack the information and insights they need to launch an initiative that can involve their target audiences. They can gain all their insight and enhance the efficiency of their efforts with AI. (DMI, 2018)

Disadvantages of Artificial Intelligence in Marketing 

1. AI lacks creativity
Despite numerous efforts, AI remains unable to be creative. The algorithms of machine learning can not act on the data as a human being would. And what comes with it remains very minimal in its ability to build anything dependent on this experience. This is only one reason why AI created content does not have the magic touch to create a blog post, article, or even a Facebook Ad. (adverity.com, 2019)


Examples of Artificial Intelligence in Marketing

1. Content Analysis and Improvement
Different AI solutions can be used to analyse and improve content for writers and marketers.
For Ex. Grammarly finds grammar, spellings, and stylistic errors. The tool also gives advice on the improvement of content based on criteria set by the user. (adverity.com, 2019)

2. Product Recommendations
Shopping platforms use AI to recommend products to consumers is one of the most common cases of artificial intelligence in marketing. 
For Ex. Amazon's AI examines past purchases and history of a person and identifies products that they are most likely to purchase next. (adverity.com, 2019)


Reference

  • adverity.com. (2019). AI in Marketing: How to Optimise Your Marketing Delivery. [online] Available at: https://www.adverity.com/ai-marketing/ [Accessed 26 Feb. 2020].

  • DMI, S. (2018). How AI is Changing Digital Marketing. [online] Digital Marketing Institute. Available at: https://digitalmarketinginstitute.com/en-ie/blog/how-ai-is-changing-digital-marketing [Accessed 26 Feb. 2020].

  • ‌‌Rainy (2019). AI Marketing: What, Why, and How to use Artificial Intelligence Marketing. [online] Mageplaza. Available at: https://www.mageplaza.com/blog/ai-marketing-what-why-how.html [Accessed 26 Feb. 2020].
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