Transcript
Podcast Host (0:00)
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Charlie Grinnell (0:25)
From advertising to software as a service to data, across all of our programs and clients, we've seen a 55 to 65% open rate. Getting brands authentically integrated into content performs better than TV advertising.
Benjamin Shapiro (0:42)
Typical lifespan of an article is about 24 to 36 hours.
Charlie Grinnell (0:46)
We're reaching out to the right person with the right message and a clear call to action. Then it's just a matter of timing.
Podcast Host (0:53)
Welcome to the Martech Podcast, a member of the I Hear Everything Podcast network. In this podcast, you'll hear the stories of world class marketers that used technology to drive business results and achieve career success. Here's a host of the Martech Podcast, Benjamin Shapiro.
Benjamin Shapiro (1:15)
I'm Benjamin Shapiro and joining me today is Charlie Grinnell, the co CEO of Right Metric, which equips marketers with external data signals that AI needs for true accuracy. And today Charlie is going to explain what we are getting backwards when it comes to the relationship between marketers and AI. All right, let's move on to the next one. What is the coolest agent you've built for yourself?
Charlie Grinnell (1:39)
Yeah, so I think it would be that, that networking one that I came up with earlier. So again I just put a location in my calendar and I don't do anything and then I get an email with here's who you should reach out to in that city for your upcoming trip based on your relevance and the strength of that relationship. So that's like a personal one from a business perspective. Our team at Right Metric has built a really cool video analyzer. So going a step deeper, basically what we do is we take a whole bunch of video performance data from Tubular and then we've built this kind of agent that will sit there and watch a video frame by frame and map out what's happening on the screen. So is it, is the video live action or animation? Is there quick cuts in the first three seconds or not? Is it a product close up shot or is it a wide establishing shot? And it will start to identify what's happening on screen and then map that back to the performance data of is this where viewers are dropping off or is this where viewers are staying on? And that's been something that our team has built and allows us to really start to dig deeper into what are the things that are driving performance. What are the actual things on screen? And how can we help content creators architect content that will keep users or viewers engaged and watching for longer?
