There’s a serious need for changing the way we deal with customer data. How you can use data and still maintain a good relationship with your customers, even among the distrust? We also take a look at who has failed at that, so you can learn what not to do. Take a listen.
As summer hits its hot, vacation-filled days the work world slows down for a minute. In these slower moments, there’s a chance to reflect on the speed of business.
Since the beginning of the year, I’ve had 147 conversations with B2B marketing leaders. These aren’t sales calls. I’m not pitching anything. They’re conversations about the issues that are top of mind for these professionals. I guide these discussions with questions around areas we’re interested in, but the main goal is to get a sense of the market. It turns out that personalization is a top of mind issue.
Is martech marketing? Can you market without it? Do mature marketing organizations need to be including martech?
In a recent blog post we mentioned that 67% of B2B companies doing personalization are either entirely or mostly using manual processes for content personalization. That’s an enormous amount of people engaging in manual processes instead of automation. Why does this happen?
“Come on. All this AI stuff, around marketing and sales, that’s all just hype, right? That’s not a real thing that matters. Maybe it’ll matter someday. But it doesn’t yet matter today.”
That’s a question I got recently, and it got Steve Zakur and I wondering where we are on the hype curve. Is it really just all hype? Maybe not — platform companies are snapping up data scientists the way early internet companies snapped up web developers.
Why is it that with all the marketing technology vendors claiming their products are fortified with AI pixie dust, business results aren’t better? The same goes for internal IT projects. Everyone wants their process to be better–and artificial intelligence, machine learning, and text analytics can provide that something special. And yet, it doesn’t feel like something special is occurring. At least not in the way that lots of consumer products are getting smarter and better.
Many people have only recently become acquainted with the concept of Artificial Intelligence (AI), but the term was first coined 55 years ago this month at the Dartmouth conference. The name AI has never sat well with me, partly because calling computers “artificial” seems strange. (I haven’t heard Google referred to as “artificial search” to contrast it with the good old-fashioned searching that human beings do when poring over books in the library.)
Content marketing can be entertaining, helpful, or informative, or perhaps it can solve your audience’s problem. One good test of content marketing is whether it helps your audience even if they never buy your product or service. Here’s what content marketing needs to be to develop customer commitment.
Big data is having big effects on content marketing, nowhere more than in its ability to make sense of the complexity of human language. Understanding data science is necessary for agile marketing in 2019. Here’s how marketers can utilize data to hone their craft.
The second quarter is behind us which also signals the end of the half. So what’s next?
Here in the US we’re taking vacations to recharge. No matter how much disconnecting we do, in those quiet moments we’re reflecting. We’re wondering about where we left money on the table and how we’re going to adapt our plays so that we win more in the coming months.