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Google and YouTube's Angie Barrick on providing AI tools for trends and marketing
Variety
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4/27/2025
Google and YouTube's Angie Barrick on providing AI tools for trends and marketing
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00:00
We've talked about this many times, but when I first met you years ago, you would talk about
00:04
using technology specifically to improve business outcomes. That it wasn't just about having the
00:12
tech or, you know, completing a task, but thinking from, you know, what are the desired results and
00:18
how are we going to incorporate technology both to achieve those results, but also to measure
00:23
whether or not we're getting where we're supposed to go. It seems now in this age of
00:28
incorporating artificial intelligence, there's a lot more that we can measure, a lot more that we
00:33
can do. From where you sit, what do you see in terms of how AI can help get us to better outcomes?
00:43
Yeah, it's been a really fun journey. We've been playing in that space for a long time.
00:47
We spent a couple years building predictive AI into our tools so that we could start to, to your point,
00:55
work towards outcomes. And today, every single one of my entertainment partners is playing in that
01:02
space. When they need awareness or reach, we have a video tool that they can use that drives
01:07
specifically that. If they need views, longer view time and more consideration, we have a tool that
01:13
will drive specifically towards that. And if a studio needs to sell a movie ticket, we have a video tool
01:20
that will focus specifically on hitting a video sale or a movie ticket sale. And that's been really
01:27
wonderful. But kind of in the last year, we had a few partners testing in this space where we started
01:34
deconstructing all of the traditional targeting parameters that we put on campaigns and just let
01:41
the AI find the people that we wanted and let it go to town. And we've seen a lot of success with that to
01:47
the point where it's an area that we're really focusing on in 2025. So that's the predictive side.
01:52
And then on the generative side, I'll give you, we built a toolkit called AI for marketing. And we're
02:00
really trying to solve for some of the use cases we see most often in the marketing space. And I know
02:07
Dom is going to talk about something really custom that they did. But I'll give you an example. I had a
02:17
platform. They thought that it wasn't living up to its potential. It was a better show. It wasn't
02:22
getting the audience it wanted. So they went into a large language model and they pulled out like,
02:28
what are people saying about the show? And what should I know? That's really the chatter here. And
02:32
what they found out was people that it was kind of a professional genre show that people that worked
02:37
in that profession thought it was very realistic and very, very, one of the most realistic shows in
02:44
that space they'd ever seen. So they put a whole campaign around that and landed that press in the
02:50
New York Times. And all of a sudden, they really started to see the viewership tick up for that
02:54
show. So one of the ways Google will take that insight that we hear from someone is we'll put
02:59
together something called TopicsMine, which allows us to understand all the insights we have from Google's
03:05
search volume and match it to every single piece of IP in their catalog. So that, you know,
03:12
they're not going to go and look at everything that's going on within their catalog out in
03:17
conversation today, but we can help identify trends and marketing moments that they can capitalize
03:22
on across the entire portfolio. So that's where things get really exciting for us.
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