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Artificial Intelligence (A.I.) Predictive Ads

Technology continues to grow and continually change traditional ways of doing business & marketing.

THE FUTURE IS CLOSER THAN WE THINK WHEN CREATIVITY MEETS ARTIFICIAL INTELLIGENCE

There have been rapid technological advancements over the past 30 years, now over 55 percent of the world’s population has access to the internet AND our ads.

When you are provoking emotion during an advertisement, it has been proven to gain attention. In the if previous years it was nearly impossible to predict if an ad campaign would be successful or not before going live. The analysis of audience data on large scales was pricey, involved many hours of labor, and wasn’t very legitimate.

Artificial Intelligence accurately predicts your campaigns and allows for more suitable decision-making. AI serves as a tool that simultaneously interacts with each audience member, all while analyzing and recording details on a minute by minute basis. Artificial Intelligence is designed to learn a consumer’s digital personality much better than it knows its own.

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ADVERTISING IS NOT FOCUSED ON THE CONSUMER AND FAR MORE EFFICIENT BECAUSE OF ARTIFICIAL INTELLIGENCE

To entirely win a consumer over, they want to feel connected to your brand, heard, respected, and understood. Cookie-cutter and one-size-fits-all advertising is a thing of that past, and it’s all about personalization to fully connect with your audience.

We now focus on “predictive advertising,” which is a marketing application related to predictive analysis.

In case you’re wondering what predictive analysis is, it’s the usage of consumer data, statistical algorithms, and artificial intelligence to predict the future.

This concept isn’t new.

Looking back before the web existed, marketers depended on performance data to foresee which products and which messages would speak out to their potential customers.

Predictive analysis now is a valuable part of media purchasing strategies and keeps marketers informed of ad targeting thanks to statistical models, big data, and artificial intelligence.

Because of predictive advertising methods, we can now pinpoint any potential new customers and provide them with content at the right times on the relevant platforms.

The PPC manager in an enterprise has to perform a series of events leading up to conversions such as conveying meaningful content and driving clicks to convert those visitors into customers. Looking at how things were done in the past, the marketer would have to rely on buyer personality and previous consumer behaviors solely.

Moving decades forward, these are very different because predictive advertising has changed the game.

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