Just When You Thought Nothing Could Boost Advertising More…

You may have experienced this: you're browsing casually, and suddenly a highly relevant ad appears, a product you were considering buying that seems to magically appear in front of you at the perfect moment. It feels a little creepy, a little convenient, and strangely accurate. But it's not magic; it's AI ad targeting, one of the many applications of AI technologies in the advertising world.

AI in Digital Marketing

AI in Digital Marketing iStock

The marketing and advertising industry is implementing AI initiatives at a rapid pace. Investment in these technologies and tools is estimated to grow from $15.84 billion in 2021 to $107.5 billion by 2028. When people talk about the benefits of AI in digital marketing, they’re usually thinking about exactly this: helping teams be more productive, making better use of data, and building more personalized experiences for customers.

For most marketing teams, AI is more than another tool in the digital box; rather, it’s something that can unshackle them from time-intensive tasks and open space for creativity. Rather than spending days shuffling numbers about in spreadsheets, teams can concentrate on ideas, messages, and experiences that genuinely resonate with people.

Some of the tools and uses of AI in advertising are the following:

Programmatic Advertising

Programmatic advertising has revolutionized how digital ad inventory is bought and sold. Instead of humans manually choosing placements one by one, algorithms do the heavy lifting, boosting efficiency and accuracy with less manual work and smarter media buying.

Programmatic systems can look at billions of data points and decide, in a fraction of a second, whether an impression is worth bidding on. These are some of the most important AI advertising trends right now: automation, prediction, and constant testing in the background.

Some brands are shifting more and more of their budgets toward programmatic advertising for better targeting, since it helps ensure their message reaches the right people at the right time. Therefore, the next time you see BetUs casino promotions while browsing and suddenly feel like betting, it's very likely that it’s programmatic advertising in action.

But how can AI predict which online promotions perform best for each audience?

At its core, AI learns from patterns. It looks at which promotions people click on, which ones they ignore, how long they stay on a page, whether they come back, and whether they end up buying. Over time, it learns that certain combinations of message, format, timing, and channel work better for specific groups.

That’s how it predicts which online promotions will perform best: not with a crystal ball, but by learning from everything people have already done.

Brand Experience Personalization

Brands are using AI to create personalized experiences for each user based on their behavior. Entire websites can adapt to offer small details that better suit your tastes and preferences, from colors and phrases to product and service recommendations.

This is possible because AI analyzes hundreds of data points for each user: age, gender, location, type of device used, browsing patterns, and much more. Two people can land on the same homepage and see completely different content. One might get a welcome discount; the other might see a reminder to complete their purchase.

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Content Creation

Marketing teams are often under pressure to create content quickly for many purposes and channels. Creating good content, though, takes time, and many teams are short on both time and people.

Here, AI becomes a kind of assistant. It can help generate multiple ad images in different formats, suggest headlines, or adapt existing text for different segments. You can also use AI writing prompts to create variations, test tones, or personalize messaging by audience. Videos and UGC-style creatives are also being generated with AI to support brand strategies and, above all, to save time and money.

Of course, this doesn’t mean letting AI write everything on its own. The best results come when humans decide what they want to say and use AI to speed up the “grunt work.”

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Customer Segmentation

Customer segmentation and targeting help you identify and influence your most valuable customers. Doing this manually can be complex, slow, and expensive.

AI can use algorithms to segment your prospects and customers into groups of people with similar interests, needs, or behaviors. These segments can be very specific: frequent buyers, people who only buy with discounts, users who visit often but never purchase, and so on.

You can then communicate with and target these segments with relevant and customized messaging that can be adapted and adjusted in real time.

So, how does AI optimize campaigns in real time based on engagement?

Artificial intelligence can process vast volumes of data at speed. It can watch how people interact with your ads or content—likes, clicks, form fills, scroll depth—and adjust campaigns while they are running.

Challenges When Using AI To Manage Multiple Online Promotions

Using AI across multiple promotions has its own risks. One of the biggest is losing the human touch and ending up with hundreds of very similar promotions, artwork, and campaigns that blur together instead of making the brand stand out.

Another challenge is context. The generated content must feel natural, consistent with the brand voice, and relevant to the local culture. Simply pressing a button and “letting AI handle it” is not enough; it needs intention and direction.

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