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AI in Marketing

Artificial Intelligence is transforming the world around us every day, with all industries developing new innovations to change the way they work. It has been a massive buzzword over the past few years, and it seems that nowadays we can’t be without it. But how is it changing the marketing industry in particular?

What is Artificial Intelligence?

First, we need to define what we mean by AI; by now everyone’s got their own definition, but IBM provides a comprehensive one:
“artificial intelligence refers to the ability of a computer or machine to mimic the capabilities of the human mind—learning from examples and experience, recognizing objects, understanding and responding to language, making decisions, solving problems—and combining these and other capabilities to perform functions a human might perform, such as greeting a hotel guest or driving a car.”
So, it’s easy to see why some people are terrified of AI ‘taking everyone’s jobs.’ AI does have the capability of automating all manner of tasks conventionally part of many roles, but this does not mean that people will be redundant. In fact, it will allow individual to focus on more intensive activities, while leaving the tedious tasks to an AI system. There is no doubt a lot of these in marketing. AI systems also have the capability of processing an incredible amount of data, producing tangible outputs that marketeers can then use to generate leads. So, what are the specific ways that AI is being used today in marketing?



With the right data, AI-powered ad tools can detect patterns at scale in your advertising data, then predict what changes to campaigns will improve performance against a specific KPI. This can all happen in seconds, rather than the hours, days, or weeks it might take a human to analyse, test, and iterate across campaigns. This allows you to increase your return on ad spend and reduce the amount of money you spend on staff time and ineffective ad budget.


AI has the potential to both curate and generate content, then get the right people to see it on the right platforms. At the moment this is limited in range, but in the near future AI could develop initial drafts of content based on certain restraints.

Personalised recommendations

Intelligent algorithms can help personalise a user’s website experience – By analysing hundreds of data points including location, demographics, device, interaction with the website, etc., AI can display the best-fitting offers and content

Chat bots

Compared with manual customer service, AI chatbots have many advantages, allowing businesses to go beyond the traditional “one- to-one” form of customer service to support to a number of customers at the same time and in different time zones. Of course, AI chatbots don’t need to rest, so they can answer customer queries around the clock and in real time. This makes them both highly efficient and able to provide support outside of office hours, improving customer experience.

It does have to be said though that just because a system uses AI doesn’t mean it’s accurate. AI outputs are only as good as the inputs into the system. If the data it is given is inaccurate, not fit for purpose or too sparse, the system cannot be expected to give good results. Nevertheless, it is an exciting field and worth the hype!