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Marketing is changing rapidly. With the arrival of new technologies. How we reach and engage potential customers differs from 15 years ago. In the past, many marketing tasks were done by hand. Marketers conducted market research through surveys and focus groups, and data was analyzed manually. Nowadays, much of this work is done by machines and artificial intelligence. Computers can gather and process vast amounts of data in a fraction of the time it would take humans and with greater accuracy. As a result, marketing campaigns are becoming more effective.

What is AI

The definition of AI, or artificial intelligence, is “intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.” AI is essentially the science of programming machines to be smarter than we are by making accurate predictions based on large data sets.

AI in marketing is applying artificial intelligence to marketing tactics, strategies, or practices. Marketing has always been about understanding and appealing to customer needs and desires. 

Thanks to AI, we can understand consumers better than ever before. 

Different flavors of Artificial intelligence.

AI comes in many forms. Some more tangible than others. Let’s go through some of the flavors out there.

Copywriting

AI copywriters can create original and on-brand content for a company. In many ways, they can be seen as an extension of the marketing team.

One of the benefits of using AI for copywriting is that it can help to save time. This is because the AI can be trained to understand the style and tone that is required for a particular brand. As a result, it can produce content more quickly than a human copywriter.

These generated texts can help content creators eliminate their writer’s block. They are also able to come up with entire blogs.

Example

Examples of copywriting AI are:

  • Jasper.AI
  • Copy.AI
  • Open.AI

Augmented reality

With augmented reality (AR), you can use AI to blend the virtual and physical worlds seamlessly. How does it work? AI uses a camera to project a digital 3D model while attempting to scale it appropriately for the space it is projected in.

Examples

Ikea uses AR for its furniture. Consumers can use their app to project furniture in their own room and can get an image of what it would look like if they had that piece of furniture. Want to know how that closet will look like in your room? AR will paint the picture.

The video below will give you a better understanding of how the app works.

Machine learning

Machine learning is a type of artificial intelligence (AI) that allows computers to learn from data. If you wanted to write a program to identify mugs in pictures, you would need to write specific rules that would tell the computer what to look for. With machine learning, you could show millions of images of mugs and let it learn to identify them on its own.

Examples

Voice

Voice AI is an exciting technological development gaining widespread attention and use. Voice AI refers to Artificial Intelligence (AI) that uses human voice input to ask and answer questions, carry out commands, or interact with its users. Voice AI technology has developed significantly in recent years, and today it powers various applications that allow users to search the internet quickly and accurately via voice-enabled searches.

Examples

5 ways to use artificial intelligence in marketing

Lead management

Lead management is essential to doing business today, as it enables companies to keep track of leads and their journey through the sales funnel. Lead management systems use AI marketing to further streamline the lead capture process, by automatically qualifying and categorizing potential leads, sending out automated follow-up emails and recording and analyzing phone calls to better understand lead trends in a way that was never possible before. 

A/B testing

A/B testing can be a great asset to your marketing campaigns. You can determine what works best with customers by isolating variables and running multiple tests. With the help of AI, you can run more variations and maximize your budget. AI can select the best-performing ad variation without any effort. Machine learning also allows you to look deeper into the results and uncover factors that lead to better outcomes, as well as continue to learn what works best for your campaigns.

Budget optimization

Deciding how to best allocate a marketing budget across channels is a complex and time-consuming task that often leaves business owners feeling overwhelmed and frustrated. However, the latest artificial intelligence (AI) solutions offer much-needed relief. By leveraging AI, businesses can automate the tedious budgeting process in a single system and enjoy continuous optimizations for maximum return on investment. AI-driven budgeting platforms are just the beginning to take your marketing strategies up a notch; they offer improved accuracy and oversight, plus the opportunity to focus energy elsewhere to keep other parts of your business running smoothly.

Billy Grace

When it comes to digital marketing, Billy Grace stands out from the crowd. This system makes marketing intuitive and incredibly efficient, all while giving users an unprecedented level of insight into their data. Unlike other tools, Billy Grace allows you to automatically adjust your budget according to the performance of your ads, saving you time and energy in the process. Besides analyzing data Billy Grace is also capable of making better decisions. Therefore creating an uplift. Additionally, its comprehensive tracking capabilities make it easy to assess whether or not your campaigns are meeting their goals – making it a must-have for any proactive marketer.