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SearchChat Podcast: AI in Marketing–Where Are We On The Hype Curve?

“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.

Four things that prevent marketing teams from getting the most from AI

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.

AI is the wrong name but the right idea

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.) 

The Deep Dive: What Does Content Marketing Need to Be?

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.

Must Marketers be Data Scientists?

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 1H B2B Marketing Restrospective

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.

SearchChat Podcast: Your Customers are Begging for (Better) Personalization

In today’s episode of SearchChat, Steve Zakur and I tackle the TopRank blog and what skills B2B content marketers need to have. How do you take those people coming in the front door, the first interaction on your site, and engage them so it’s not the last page they look at? At the end of the day — no matter what your marketing techniques are, if you can’t measure them, you don’t know for sure how much they even mattered.

What’s Inside Behavioral Data?

Personas have been used for a number of years by B2B digital marketers to craft content that aligns with a visitor’s context. But we all know that personas are also so… 2015. The rise in personalization has revealed both the limits and challenges of persona-based content creation — creating and maintaining content for every persona is a lot of work and getting that content in front of the visitor at the right time is tricky.

Keep Your Content from Disappearing into the Blogroll

Your content marketing is too valuable to waste

How findable is the content on your site? If the answer is that you aren’t sure — you may have a problem. And you aren’t alone. Many marketers spend great lengths of time on content marketing. But a lot of that content goes unread. The main problem is that the people you want to read it can’t find it.

SearchChat Podcast: How AI Drives Value for Your Business

In this episode Steve Zakur and I are curious about the ways AI can be used to drive greater value for your company. We have our opinions about our own software of course, but this is a bigger question: how can you use AI to make your entire team and business smarter?