Marketer of the Day with Robert Plank
Michael Greenberg talks about content creation strategy, becoming an authority, creating a podcast, and becoming a blogging master with Robert Plank on the Marketer Of The Day Podcast.
Robert Plank 0:00
Hey, everyone, and welcome back to the Marketer Of The Day Podcast. We’re chatting with Michael Greenberg. And he’s a gentleman, not just a gentleman, but he’s the founder of Gentleman Of Technology LLC, which is a B2B venture creation and strategy consulting firm. And Michael has done a lot of really cool stuff. He launched a new content marketing venture and a book called The Authority Marketing Playbook. He’s got a project called Call For Content. We’re going to hear all about that and all the things that Michael knows about increasing business visibility, revenue, velocity, and ROI. Michael is an entrepreneur, an author, a strategist, and an advisor. So Michael, glad to be talking to you today.
Michael Greenberg 0:53
Glad to be on, you make me sound a lot better than I often think myself.
Robert Plank 0:57
Oh, I think we all have that problem, right? We always have that tendency to discount our successes, and we need, maybe we all could use a little boost in that self-esteem. But what’s always good is to hear about what kind of cool things people have going on. So that way we can kind of absorb what we need to absorb and be the best person that we can be. So I mean, content. I love creating content. I love marketing with content, love to hear your thoughts on it. What do you have going on these days?
Michael Greenberg 1:26
So I’ve been playing around a lot with content. And with speech to the text within content creation recently. And that started out as a Call For Content. As sort of an incubator for some of my new content creation ideas. And now I’m getting ready in just a month out from when we’re recording this. I’m getting ready to launch my first new service out of the Call For Content banner, it’s going to be a blend of dictation and blog writing at a flat price per minute.
Robert Plank 2:05
Super cool. So when you’re talking about speech to text, what comes to mind for me is, you dictate out a blog post an article, then the machine turns it into words so that way we don’t have to type a bunch of stuff and we don’t have to guess our sentences and our words second, it’s just the way that we speak things out is the way that that sort of stuff ends up in text form. But I don’t know about you, but whenever I mess with that sort of stuff, the speech attacks, when I try the software things like Dragon Dictate our Dragon, naturally speaking, things like that. It seems like it gets every, like third word wrong. And then when I use a transcription sort of service it costs a little bit of money, but it’s pretty cheap these days. I have a little bit of waiting, but then what comes back is never completely perfect. And I have to go back and comb through what came back, and I end up being sort of frustrated. And I feel many times, the amount of extra time that this speech to text stuff took, I almost could have just written it by hand. So do you have any similar frustrations or any thoughts on this sort of stuff?
Michael Greenberg 3:21
Well, I’ll tell you, I definitely did have those frustrations in the past. But what I’ve found is that you’re right, you can’t just do it with a machine. And you can’t just do it with a human. So I use a combined human-machine hybrid process. Where the machine takes the first pass gets most of it right, but not everything. And then a human comes through to clean up the machine’s errors, they’re able to listen to the audio as they go, to make sure if you stumbled anywhere and the machine picked up the wrong word. And then that humans can take the context and the inflections that you are talking about. And use those to really fit that block of audio into an outline. Or into a rough draft of a post.
Robert Plank 4:10
Super cool. So the best of both worlds. So we have the speed of the machine, but then the accuracy of the human. And then I imagine also that by having this blend here, that the human doesn’t get tired, because it seems like if I pass off a really huge thing, I dictated out like a whole audiobook or something. It seems like it’s a really nice and tight language in the beginning and the end, but in the middle, it feels like the transcriptionist got tired. So this sounds really great because the human can work fast because 80% of the work is done, and it seems like