Let's Get Personal: How Machine Learning Can Advance Your Marketing Personalization

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However, now, your user profiles can go way beyond this and can include a deeper insight into your customers based on their online browsing habits, social posts, device preferences, hobbies and interests, and much more! With machine learning, true personalization – also called individualization – can be done at scale. These tools can process huge amounts of data in microseconds and make the most relevant, up-to-date decisions based on this data, which in turn, helps you present the most relevant experience to each and every visitor. This deeper understanding of your audience is what's going to grab their attention and help you develop that long-term, meaningful relationship between brand and customer.


6 Examples of AI in Email Marketing Marketing Insider Group

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As digital marketing methods go, email marketing is somewhat of a dinosaur. Email has been around since the 1970s and people have been using it for commercial purposes for almost as long. While email marketing may not be as exciting as some of the newer options available in digital marketing, it's still one of the most popular methods. The reason for this is simple – it works. While technology has moved on, we still read email every day.


Brands As Robots: The Future Of Tech Personalization

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In the future, you'll have personal relationships with the brands that surround you. What does that mean exactly? It means the massive shift from outbound marketing to highly personalized inbound marketing will reach its logical conclusion: brands will become personalities (think of the endearing droids in Star Wars), who can consolidate all of the objectives of content marketing into a simple 1:1 interaction between the customer and the brand. George Wiedemann of UMarketing.com, in his keynote address at the Integrated Marketing Virtual conference, provided a vivid picture of this 1:1 relationship. A user, when car shopping, can type in the make and model of a desired car and the mile radius around where the user lives.


Riding the wave of AI: Is your marketing campaign as smart as it can be? - Marketing Land

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As 2019 gets underway and your marketing plan unfolds, you've probably set some goals for the coming year: We're going to break down the data silos that keep us from understanding our customers. We're going to improve our messaging relevance. We're going to target customers more accurately on their preferred channels What if you could just find the time to make any one of these resolutions a reality? Although the promise of one-to-one marketing has been around for many years, brands still send customers too many marketing messages that are irrelevant, generic or only slightly personalized. The problem is that marketers today have too much data and not enough creative time to respond to soaring customer expectations for a personalized buying experience.


Riding the wave of AI: Is your marketing campaign as smart as it can be? – The Nonepaper

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As 2019 gets underway and your marketing plan unfolds, you've probably set some goals for the coming year: We're going to break down the data silos that keep us from understanding our customers. We're going to improve our messaging relevance. We're going to target customers more accurately on their preferred channels What if you could just find the time to make any one of these resolutions a reality? Although the promise of one-to-one marketing has been around for many years, brands still send customers too many marketing messages that are irrelevant, generic or only slightly personalized. The problem is that marketers today have too much data and not enough creative time to respond to soaring customer expectations for a personalized buying experience.