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How Artificial Intelligence is Transforming Digital Marketing

Artificial Intelligence is gradually becoming an important part of our everyday lives. We’ve grown accustomed to talking to Alexa, Siri, Cortana or any other AI-powered digital assistant – we rely on them when we search for information and we trust them when we’re making choices.

Still, the way AI is transforming digital marketing transcends the use of digital assistants and goes far beyond what meets the eye.

AI has become an integral part of every digital experience – internet queries, online shopping, recommendations and the offers we receive.

It became a helpful resource for digital marketers too, as it helps them get to know their customers better, create the right message and get it through using the right channel. AI can help them streamline digital marketing campaigns and optimize them while reducing the risk of human error.

Read on to learn about the top five ways AI is transforming the world of digital marketing.

Personalized Ads

Enter AI, the tool digital marketers use to better match their offers to the demands of their customers. Everyone who has ever used Amazon or Netflix gets a clear idea of how these work – consumers get recommendations and offers based on their preferences, needs, and desires. This results in a more satisfying user experience. The right kind of ads can now be placed in front of the right audience, saving advertisers money.

Thanks to AI and its capability to collect, process, analyze, and interpret huge amounts of customer data, marketers can improve their ads and really make them work. With the help of this powerful technology, they have an insight into which marketing techniques perform the best.

Content Creation

AI has an enormous impact on content marketing, too. Various AI-based tools can be used to automatically gather information online and generate different types of content – news, blog posts, social media posts, etc.

Although this technology now functions on a very basic level, it won’t be long until AI starts generating viable topics for writers, sketching their drafts, etc.

Algorithms are used so that marketers can find out what their customers like to read about, their questions and their concerns. All this knowledge is used when curating content relevant for their customers at each stage of the marketing funnel, resulting in better engagement and ultimately, more conversions.

Smart Searches

Thanks to AI, users can now get more accurate and relevant search results for their queries. When a user searches for information, the algorithm takes into account several other factors, such as previous searches, location and time of day to deliver useful results.

Digital marketers can significantly benefit from smart searches. Just a couple of years ago, a prospect needed to know the exact name of the product to be able to find it online. Now, with advanced searches and auto-suggest corrections, they get tens of suggestions as soon as they start typing, making their searches much easier.

Even if the prospects don’t know the exact name of the product, they can still find it, using alternative search terms.

But that’s not all. Nowadays people can snap pictures of, say, an item of clothing they like and use this image to find the item on the internet easily.

The Use of Chatbots

The main advantages of using chatbots are:

  • 24/7 customer support – having good customer support all around the clock has a positive impact on customer satisfaction and retention.
  • Instant response – customers don’t want to wait for a response from a customer service rep, and they hate being put on hold. With chatbots in the picture, they can get an immediate response, whenever they need it.
  • Reducing the costs of live chat support agents – while chatbots can address and solve minor issues, human agents can focus on handling more complex issues that require critical thinking, all resulting in better customer satisfaction of the customers.
  • Better lead qualification and nurturing – chatbots use data they have on customers to give personalized offers based on the stage of their customer journey.

Some of the predictions claim that in 2020 chatbots’ conversational engagement will intersect with AI-powered automation, in order to automate underlying tasks that are required to completely fulfill customers’ needs.

Behavior Analysis

Combined with machine learning and big data analysis, AI is now able to provide businesses deep insights on their customers. Companies can now have a clear idea of the behavior of their consumers and even predict it.

One of the great examples for predicting customers’ needs is the popular Sephora App. As it has facts on your previous transactions, the app knows when you need to make the next purchase and will recommend the product that you now can virtually try out too.

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Michael Deane

Michael has been working in marketing for almost a decade and has worked with a huge range of clients, which has made him knowledgeable on many different subjects. He has recently rediscovered a passion for writing and hopes to make it a daily habit. You can read more of Michael’s work at Qeedle.

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