Artificial Intelligence in Digital Marketing

 Artificial intelligence is a hot topic right now. It's being used in many different ways, from Siri to self-driving cars. Technology has also found its way into the world of digital marketing - and it's changing everything! In this blog post, we will explore how AI has changed the face of digital marketing.

What Is AI?

Artificial Intelligence or "AI" is the use of computers to simulate intelligent behaviour, such as learning and problem solving for an application that has this capacity at a high level with people already interacting with it on a regular basis (although not always). For example, if you are using your personal assistant like Siri or Cortana to set reminders, book appointments etc., then we're talking about very basic forms of artificial intelligence because these assistants can only do what they're programmed to do.

AI is a broad term that encompasses many different techniques and technologies. It can range from something as simple as spam detection to the complex algorithms used in AI-enhanced software, such as voice recognition for virtual assistants like Siri or Google Assistant. There are all sorts of applications for artificial intelligence - but what do they have to do with digital marketing?

How Does Artificial Intelligence Work In Digital Marketing?

To answer this question, we need to look no further than one of the most common ways businesses advertise their products: search engine advertising (SEO). Search engines use machine learning algorithms to determine which ads users will see when they perform certain searches on their site. These machine learning models take into account user information and browsing history, so advertisers can be confident that they have the best chance of getting their ads in front of a potential customer.

AI is also used to target specific audiences from social media, but this isn't limited to just Facebook and Twitter. Take LinkedIn for example - an AI-powered algorithm will track patterns among your connections, looking at who you follow or engage with most often on each platform. This way it knows which members are likely more interested in topics similar to yours, so when one posts something new on those subjects, you'll see their post right away!

And now we've come full circle: these algorithms go even deeper into our data than ad targeting using other tools like Google Analytics (which can only extrapolate information about users based upon what sites they visit).

AI is used in digital marketing to create highly personalized, engaging ads that are more targeted than ever before. The bottom line? AI has given us the ability to "talk" directly with our customers and prospects without being filtered through a third-party platform or other tools designed for advertising purposes.

The benefits of adopting artificial intelligence

One of the many benefits of AI is its ability to detect patterns from all parts of your customer's lifetime journey - not just what they do on one website or social media channel at any particular point in time. This means you can get insights into how someone interacted with your site over an entire year, looking at data such as new vs returning visitors, engagement levels across different devices (smartphone versus desktop), bounce rates by page.

This technology has also made marketing messages much less intrusive in some ways: instead of being bombarded by a bunch of different messages for products you don't care about, machine learning allows marketers to give consumers information about things they might be interested in based on data from online behaviour patterns. This is done through something called "content marketing," which uses interesting content related to specific topics as a way of attracting attention rather than traditional forms like banner ads or pop-ups.

A company may produce articles focused around its specific product line and publish these with links back to their website or social media account - this tactic is known as "native advertising," because it blends in with other content on the site.

How to Use Artificial Intelligence in Digital Marketing

Create a Content Marketing Strategy for an AI Implementation: There are many layers to this strategy. You need to first determine what kind of content would be most successful in regards to your product and its target demographic, then how often should you publish it? What is the best way to distribute that information? How do we make sure our message resonates with those who read it? Write down these answers so you have them ready when implementing machine learning algorithms into your digital marketing process.

A simple example might be, "What time does my audience want me online?" If you know there is a high demand for posts from 12 pm - 15 pm EST on weekdays, where can I find more data about the demographics of people browsing during that time?

Analysis: You can analyze how many posts your audience consumes, what type of content they are gravitating towards(videos versus text), and who is commenting on the post. This will help you make smarter decisions about when to publish that particular piece of information so it reaches the most people possible.

The first step when using artificial intelligence in digital marketing strategy (that is if you want the system or robot to learn) is collecting data on what people are saying about your company and its products. You can do this by monitoring social media channels like Facebook, Instagram, Twitter etc., which will take away some of the time-consuming workloads from humans who need to sift through feedback manually. Collecting these insights allows for analysis with algorithms that have been programmed with specific goals in mind - such as increasing customer engagement or reducing costs.

Nowadays, machine learning algorithms are being used in digital marketing to automate a lot of the repetitive work associated with social media platforms. Platforms that never miss an opportunity for a sale and retarget ads on every website you visit make it difficult to get ahead of your competition without employing AI technology in your strategy. In this blog post we will go over how artificial intelligence is expanding businesses by automating their processes through three different examples: Google Translate, Face Recognition Software, and Snapchat Algorithms.

When it comes down to actually implementing AI into an already existing digital marketing strategy there are a few things to know before diving in. You need to make sure you have the necessary data and algorithms running on your end before launching an AI project, as well as someone who can keep up with all of the backend work - which might be harder than it sounds.

It's also important that there is a clear goal in mind for what exactly you want from using artificial intelligence in digital marketing. A good way to start this process is by asking yourself: "What outcome am I looking for?" This will help guide you through every step of completing your strategy because if there isn't one idea or goal then how do we measure success?