As content marketing has been practiced today, it resembles custom publishing. Companies tell stories that romanticize their brand, distributing those stories through various channels and amplifying them through social media. Content marketing has come to be more akin to advertising.
This past year, the demand for personalization is at an all-time high.
According to a 2019 Lytics white paper, two-thirds of customers want brands to adjust content based on their real-time context. Over 40% are annoyed if you don’t. And another two-thirds of those said they skip making a purchase out of annoyance. Successful B2C personalization has become the expectation.
That’s not just a problem for retail.
Digital transformation is all around us–no company can escape. Most companies recognize this, and focus on managing the change in an effective way. But then there are others that think they can avoid digital.
The biggest mistake that many companies make in their B2B sales and marketing activities is the way they fragment or silo different touchpoints in the customer journey among disparate functional teams. And, worse, the way they make it difficult for those teams to work together. Customer experience matters for B2B marketers. You’d think you would make that easier to bring to life.
The new personalized approach to B2B content recommendation
Understanding customer behavior is one of the most powerful marketing tools available to professionals. The right data that provides you with a glimpse into their intent will allow you to effectively connect potential customers to the content that is going to help them achieve their goal. So where do you find intent data? It exists in the systems you use today. Behavior-based personalization is a strategy to offer intent-based content recommendation. If you know where to look and you have the ability to mobilize that data you can use it to progress journeys, convert more business and win more often.
Artificial intelligence is a huge buzzword across marketing right now, with over 60% of CEOs saying AI will have a larger impact on their businesses than the internet. Let that soak in for a moment. A larger impact than the internet. ‘Cause, y’know, that’s been a non-event over the last couple decades.
This year has started off strong on my end, but we’re also looking ahead towards what’s next. I’ve spent a fair amount of time talking to digital marketing professionals about what’s important to them, sharing some of our product roadmap, and seeing where there’s alignment and where there may be market opportunity.
January is a special month in AI history. Because in both the novel and movie 2001: A Space Odyssey, January 12 is when the HAL 9000 sentient computer — (spoiler alert!) the story’s antagonistic artificial intelligence — goes live. Depending on whether you date HAL to its “birth” in the film, the novel, or when those media originated, HAL is anywhere between 22 years to 51 years old now (For trivia buffs, of which I’m one: The book and film were released in 1968, making HAL’s conception over 50 years ago; if you go by the dates given in the film or the book, respectively, HAL is either 27 or 22 years old). HAL is then placed aboard the Discovery One spacecraft to participate in a journey of, well, discovery to the planet Jupiter.
Is the dream of the visitor journey dying? How do we make journeys more functional without using data people don’t want us to have?
Even back in 1942, there were dreamers about what the days of artificial intelligence would look like. Futurists like Isaac Asimov were considering the risks of new autonomous technologies. It was during that year that Asimov wrote a short story entitled “Runaround” in which he unveiled the three laws of robotics.