WEBVTT - NBCUniversal's Quest to Shake Up Audience Measurement

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<v Speaker 1>There may be no bigger frustration in the media business

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<v Speaker 1>than among TV programmers out to make sure they get

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<v Speaker 1>a fair account of every eyeball they deliver to advertisers

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<v Speaker 1>across screens. That's job one for my next guest, cavitaz Rani,

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<v Speaker 1>executive vice president of Insights and Measurement in NBC Universal

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<v Speaker 1>Accurate measurement is just the top of a list of

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<v Speaker 1>reforms she's helping drive at the company. Tavita, thanks for

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<v Speaker 1>coming in and talk to me. Thanks for having me.

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<v Speaker 1>It's nice to be here. Cool. So you've got a

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<v Speaker 1>pretty big sort of reform agenda when it comes to

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<v Speaker 1>the current state of measurement. Put it out there for me,

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<v Speaker 1>all right. So I think you know that prior to

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<v Speaker 1>joining NBCU, I was a marketer and I was Comcast Yes,

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<v Speaker 1>and I was responsible for a billion and a half

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<v Speaker 1>of paid and owned media across six different brands, and

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<v Speaker 1>every day we were focused on how is our investment

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<v Speaker 1>helping us get subscribers to our business and so that

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<v Speaker 1>is a passion point for me that was really important.

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<v Speaker 1>But the industry was coming in and saying, oh, this worked,

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<v Speaker 1>here's the ratings we delivered, here's you know, here's the

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<v Speaker 1>eyeballs were delivering, here's the impressions, And I always went

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<v Speaker 1>back to, but how did it help my business? So

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<v Speaker 1>coming to NBCU transforming that dialogue internally as well as

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<v Speaker 1>with our clients to say we have a research we

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<v Speaker 1>have a measurement continuum. The first thing is, yes, we

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<v Speaker 1>do need to count impressions because that is the starting point.

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<v Speaker 1>It is the basis of a media plan. And in

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<v Speaker 1>order to do that at because TV is no longer

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<v Speaker 1>the way it used to be, we are content lives

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<v Speaker 1>on television, the linear television screen, and it lives in digital.

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<v Speaker 1>How do we bring that together? So counting unified impressions

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<v Speaker 1>across digital and linear. That was job one, which was

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<v Speaker 1>C flight, and that is you know, going to continue

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<v Speaker 1>to evolve. We launched that with NBC Prime and so

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<v Speaker 1>C Flight essentially is unifying impressions across unifying ad impressions

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<v Speaker 1>that run on linear and digital. But it's not tethered

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<v Speaker 1>to the linear broadcast of the show. So I may

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<v Speaker 1>be watching This is Us on a Tuesday night live

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<v Speaker 1>or on a DVR and I'm caught up on this season,

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<v Speaker 1>but another person might be consuming season one, episode one

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<v Speaker 1>on digital and if an AD impression ran runs during

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<v Speaker 1>that week, we want to be able to count the

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<v Speaker 1>ad impressions. The consumer is that this is us watcher,

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<v Speaker 1>the environment is the same, why shouldn't they be counted together.

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<v Speaker 1>So we did that with NBC Prime and Sports. Going

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<v Speaker 1>into next year, we're going to expand it across the

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<v Speaker 1>portfolio and continue to UM enhance the measurements. So we're

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<v Speaker 1>looking at how do we look at set top box

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<v Speaker 1>v o D, how do we look at coviewing We

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<v Speaker 1>know people watch together, how do we count all of

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<v Speaker 1>the impressions across all screens and all platforms, and partnering

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<v Speaker 1>with many different UM research measurement partners, so Nielsen being

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<v Speaker 1>a core of them, but there's others that we will

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<v Speaker 1>be talking to to build that capability because we feel

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<v Speaker 1>really strongly that we have to make sure that the

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<v Speaker 1>starting point is as accurate as it can possibly be,

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<v Speaker 1>and when that has developed, it will be open source,

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<v Speaker 1>just like we did with C Flight. One point oh

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<v Speaker 1>it was we met with all of our network partners,

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<v Speaker 1>We met with our clients and agencies to go through

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<v Speaker 1>the methodology in great detail, and we saw success from it.

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<v Speaker 1>The marketers they for them, it was conceptually yes, why

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<v Speaker 1>haven't been doing this? Um for agencies, it was conceptually

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<v Speaker 1>brought it bought in, But you still have to figure out, Okay,

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<v Speaker 1>how do you work now with the current systems that

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<v Speaker 1>a second You r NBC Universal, You're just one of

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<v Speaker 1>a number of programmers out there. Why is it even

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<v Speaker 1>to you to to lead the way here? Shouldn't you

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<v Speaker 1>be deferring to a third party like Nielsen? Well, Nielsen

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<v Speaker 1>is a part of it, but I think as a

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<v Speaker 1>leader in the industry, I think we just got tired

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<v Speaker 1>of having everyone talk about this issue. We had to

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<v Speaker 1>take the first step. Most of the conversations, even in

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<v Speaker 1>my first year, was why you know why this is different,

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<v Speaker 1>or why Nielsen has measured? Nielsen measures television this way

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<v Speaker 1>and digital this way, And no one wanted to just

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<v Speaker 1>take that first step. Yes, it may not be perfection,

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<v Speaker 1>but someone had to take that first step. And I

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<v Speaker 1>would say that the other networks are doing a form

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<v Speaker 1>of it, and they're trying to do it. They may

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<v Speaker 1>not call it sea flight necessarily, but everybody is trying

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<v Speaker 1>to figure out how do you unify impressions within television

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<v Speaker 1>and digital? But doesn't the unification strategy need to be unified.

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<v Speaker 1>In other words, shouldn't just be standardize you all have

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<v Speaker 1>the same exact approach. Yes, And I think that was

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<v Speaker 1>part of Linda's State of the Industry, Linda Yaquarina's State

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<v Speaker 1>of the Union last year during Thanksgiving, where she said

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<v Speaker 1>the industry must come together, and so we bought all

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<v Speaker 1>of the network partners. We bought all of the major

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<v Speaker 1>networks and said this is the methodology. So I know

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<v Speaker 1>that you know, decisions are happening internally. You know, obviously

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<v Speaker 1>not everyone may call it see flight, but the concept

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<v Speaker 1>of unification of impressions is something that all I think everybody,

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<v Speaker 1>including marketers, are taking seriously because they're trying to understand, Okay,

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<v Speaker 1>I'm buying all this media across all of these platforms,

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<v Speaker 1>and I have this number from one place, another number

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<v Speaker 1>from another place. No one's make it easier for me

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<v Speaker 1>to understand what that is. Got it? So just one

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<v Speaker 1>last question before we moved to yet the other things

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<v Speaker 1>on your list of reforms. What is what are the

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<v Speaker 1>obstacles that are preventing this from happening? Why in really

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<v Speaker 1>isn't this already happening? Well, I think part of it

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<v Speaker 1>is just legacy. You know, I don't know what else

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<v Speaker 1>to call it. UM. I think it was something as

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<v Speaker 1>a marketer we we were challenged with, is how can

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<v Speaker 1>we get a unified number? And at the end of

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<v Speaker 1>the day, as a marketer, we said, okay, we'll take

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<v Speaker 1>what every media company gives us as their number, but

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<v Speaker 1>we're going to add our own lens. And being at Comcast,

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<v Speaker 1>you know, we had a lot of insight into our

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<v Speaker 1>consumer into our consumer behavior, what people are watching. So

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<v Speaker 1>that was a you know, that's the benefit we had.

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<v Speaker 1>But we said, here's what we're investing, here's the media mix,

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<v Speaker 1>and we applied very sophisticated models to understand what's the

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<v Speaker 1>role of that mix in driving our results subscriber results.

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<v Speaker 1>So we went, you know, we said, okay, what's the

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<v Speaker 1>outcome that we're trying to accomplish. And that's you know,

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<v Speaker 1>that's part of the rest of the continuum of measurement,

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<v Speaker 1>counting to assigning credit, to measuring our O So let's

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<v Speaker 1>go to assigning credit. What's the problem there and how

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<v Speaker 1>are you personally affective? Well, I, you know, I think

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<v Speaker 1>this is something that TV has to solve. UM from

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<v Speaker 1>a campaign measurement standpoint. You know, for the digital players,

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<v Speaker 1>it's really really easy in terms of you see an ad,

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<v Speaker 1>you're right at you know, whether your device or your computer,

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<v Speaker 1>and you can click and you can take an action

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<v Speaker 1>and that action gets recorded and there you have it.

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<v Speaker 1>For a medium like television, it doesn't work as seamlessly.

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<v Speaker 1>And when you're engaged in a one hour content that's

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<v Speaker 1>emotional and connecting with you, you may not be as

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<v Speaker 1>likely so that consumer behavior is not as likely to

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<v Speaker 1>pick up the phone or go to a site right away. Um,

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<v Speaker 1>Whereas if you're watching a ten minute video of putting

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<v Speaker 1>me how to put Makeup on and you see a

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<v Speaker 1>makeup ad, you might be likely to click. So the

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<v Speaker 1>experiences are different. And um, we have to figure out

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<v Speaker 1>how do we how do we capture the true power

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<v Speaker 1>of television And it has to start with that closed loop.

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<v Speaker 1>What does that closed loop look like for television? But

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<v Speaker 1>what we don't want to do is tie it just

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<v Speaker 1>to the moment the ad ran because television works differently.

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<v Speaker 1>We want to be able to see the short term

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<v Speaker 1>impact as well as the long term impact of that

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<v Speaker 1>ad exposure that runs on television. So what I'm trying

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<v Speaker 1>to build across the organization is a full funnel measurement

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<v Speaker 1>solution which consists of the stuff that we are doing

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<v Speaker 1>in terms of measuring brand impacts. So whether you work

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<v Speaker 1>with a Millward Brown or other partners are working directly

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<v Speaker 1>with the advertisers to measure the brand impact in terms

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<v Speaker 1>of consideration, purchase intent, and those metrics. But then to

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<v Speaker 1>take it down a level deeper and say, okay, now

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<v Speaker 1>how do I connect the dots of advertising running and

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<v Speaker 1>moving it to the next step? Is that demand generation

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<v Speaker 1>in terms of site visits or or store traffic or

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<v Speaker 1>just searches, you know, what does that look like? And

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<v Speaker 1>then at the very end is the sales or people

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<v Speaker 1>actually really transacting and buying a product once they get there.

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<v Speaker 1>So in order to do that, there are third party

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<v Speaker 1>partnerships we can have where we can get third party

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<v Speaker 1>sales data. You can do that for some categories, you

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<v Speaker 1>can't do that for all categories. So this is where

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<v Speaker 1>the partnership with the client and the advertiser becomes super

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<v Speaker 1>critical to build that full funnel for that campaign, and

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<v Speaker 1>that gives us a pulse of okay, how did the

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<v Speaker 1>campaign perform? But then to get to the next step,

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<v Speaker 1>which is the harder work that we're doing, and it

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<v Speaker 1>is literally in a proof of concept and building stage,

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<v Speaker 1>is if an advertiser is spending ten million dollars with us,

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<v Speaker 1>and they've been doing that for several years, how do

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<v Speaker 1>we demonstrate that that that investment is working for them

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<v Speaker 1>in terms of their business outcomes as well as give

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<v Speaker 1>them insight into how it could work better? Are they

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<v Speaker 1>investing in the right areas of the platform? And can

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<v Speaker 1>we can we start to shift to a different conversation

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<v Speaker 1>and saying we're not going to We believe in our

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<v Speaker 1>models so strongly and we're building enough confidence and predictive

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<v Speaker 1>power on that in those models that we're actually willing

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<v Speaker 1>to transact on outcomes versus age, gender, And do marketers

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<v Speaker 1>have a say in your approach? Here? Are you sort

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<v Speaker 1>of opening the tent to them to get their input

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<v Speaker 1>as to I mean, because they're ultimately the people you're

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<v Speaker 1>trying to please. Correct. So for the proof of concept,

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<v Speaker 1>we're building it and we're you know, my goal is

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<v Speaker 1>to be completely transparent around that because I think you know,

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<v Speaker 1>as a marketer, that was my pet peeve is I

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<v Speaker 1>don't want a black box if you're doing analytics about

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<v Speaker 1>my business. I want to understand how you're doing it

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<v Speaker 1>to make sure you have the right context, so the

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<v Speaker 1>same I I think our approach is going to be

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<v Speaker 1>the same. And at the end of the day, we're

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<v Speaker 1>gonna need them to partner with us on providing their

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<v Speaker 1>business outcomes. And what are those business outcomes? Are those sales?

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<v Speaker 1>Are those brand health? You know, help define what that

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<v Speaker 1>is so that when we build models that are going

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<v Speaker 1>to have that predictive power, we're measuring the right things

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<v Speaker 1>and it's going to vary advertiser by advertisers, So you know,

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<v Speaker 1>the solution that we're looking to build UM, we're talking

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<v Speaker 1>about how can that be scaled because we don't want

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<v Speaker 1>to apply what works for one advertiser in the AUTO

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<v Speaker 1>category to all advertisers and multiple categories, because that's that's

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<v Speaker 1>not a UM sustainable UM and a accurate view of

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<v Speaker 1>you know, let's say the CpG category. So and different

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<v Speaker 1>factors affect those businesses. So in auto you might see

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<v Speaker 1>gas prices affecting sales. In CpG, that's not as much

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<v Speaker 1>of a factor. So we want to make sure that

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<v Speaker 1>we build it in such a way that it is

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<v Speaker 1>relevant to the advertiser. This all sounds horrifyingly complex and nuanced,

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<v Speaker 1>and frankly has me asking like, are you almost chasing

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<v Speaker 1>some sort of brass ring that can't be reached? The mirage?

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<v Speaker 1>In other words, are you're trying to give marketers everything

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<v Speaker 1>they could possibly dream of wanting. Maybe there's a reason

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<v Speaker 1>they don't have it it's impossible to get. Yeah, well

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<v Speaker 1>you know it is. I will say it hasn't been

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<v Speaker 1>an easy task, you know, doing you know, at at

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<v Speaker 1>Comcast as a marketer, I had all of my data

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<v Speaker 1>in front of me. So whether that was my sales

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<v Speaker 1>data or how much I spent in every single tactic,

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<v Speaker 1>all of that was available to us. On the NBC side,

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<v Speaker 1>we don't have everything we but we do know what

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<v Speaker 1>we have across our portfolio, what an advertiser spends across

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<v Speaker 1>our portfolio. So that is the starting point, um most

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<v Speaker 1>you know, and I've I've been doing MMM models for

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<v Speaker 1>a long time, and I want to be clear, this

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<v Speaker 1>is not that because nothing media mixed modeling media mixed models.

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<v Speaker 1>A lot of advertisers have their own what I call

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<v Speaker 1>method to madness of allocating spend two different tactics and

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<v Speaker 1>then measuring the effectiveness of those tactics. UM. Some use MMM,

0:15:44.280 --> 0:15:47.720
<v Speaker 1>some use just a Okay, last year, I spend X.

0:15:47.800 --> 0:15:50.200
<v Speaker 1>This year, I'm going to spend X plus three percent

0:15:50.960 --> 0:15:54.000
<v Speaker 1>UM and you know everyone has that. So it's not

0:15:54.120 --> 0:15:57.120
<v Speaker 1>meant to replace that, but it is meant to help

0:15:57.240 --> 0:16:01.160
<v Speaker 1>provide more insight into those UM and a lot of

0:16:01.360 --> 0:16:06.680
<v Speaker 1>MMM medium mixed models don't UM go down to a

0:16:06.840 --> 0:16:11.680
<v Speaker 1>very tactical level like to NBC. They may go down

0:16:11.720 --> 0:16:15.400
<v Speaker 1>to a television level and a digital level, but not

0:16:15.760 --> 0:16:19.840
<v Speaker 1>television and then NBC, ABC, CBS and so on and

0:16:19.880 --> 0:16:25.840
<v Speaker 1>so forth. So we're trying to create value and UM.

0:16:25.960 --> 0:16:29.440
<v Speaker 1>Ultimately the proof of this is going to come from

0:16:29.480 --> 0:16:33.320
<v Speaker 1>the advertisers that, Okay, if they're seeing results within their

0:16:33.360 --> 0:16:38.120
<v Speaker 1>analytics in a certain way, this should be close to it, right,

0:16:38.160 --> 0:16:39.880
<v Speaker 1>And that's why they're They're going to be a key

0:16:39.960 --> 0:16:44.720
<v Speaker 1>part of this. What about the advertising experience in and

0:16:44.800 --> 0:16:48.600
<v Speaker 1>of itself? You know, I know NBC for instances experimented

0:16:48.640 --> 0:16:52.520
<v Speaker 1>with these prime pods making a little more selective. I mean,

0:16:52.560 --> 0:16:54.800
<v Speaker 1>are we going to see much more evolution on that front?

0:16:54.840 --> 0:16:57.560
<v Speaker 1>How much is needed? Yes? UM, So I think that's

0:16:57.560 --> 0:17:03.400
<v Speaker 1>also an industry industry problem, right, clutter exists. I mean,

0:17:03.400 --> 0:17:06.359
<v Speaker 1>if you look at the digital ecosystem, there's a lot

0:17:06.680 --> 0:17:12.240
<v Speaker 1>of clutter um with with what our attempt with prime

0:17:12.320 --> 0:17:16.760
<v Speaker 1>pods was to really create an environment that was good

0:17:16.760 --> 0:17:20.240
<v Speaker 1>for consumers right in a way that they would stay

0:17:20.240 --> 0:17:23.560
<v Speaker 1>engaged with the content longer. And we're seeing that, right.

0:17:23.600 --> 0:17:27.679
<v Speaker 1>It's early, it's about it's been about six weeks of

0:17:27.760 --> 0:17:31.480
<v Speaker 1>data that we're looking at, but we're seeing promising results

0:17:31.560 --> 0:17:37.040
<v Speaker 1>from that. But because a consumer is more engaged, then

0:17:37.160 --> 0:17:41.879
<v Speaker 1>an add that runs within that is going to perform better.

0:17:42.320 --> 0:17:45.600
<v Speaker 1>And that's the hypothesis, right, that's the hypothesis, and so

0:17:45.680 --> 0:17:51.080
<v Speaker 1>far we're seeing positive results in terms of how ads

0:17:51.080 --> 0:17:55.760
<v Speaker 1>are performing. What we want to continue to do is

0:17:56.119 --> 0:18:01.000
<v Speaker 1>understand what is the role of the creative of an

0:18:01.040 --> 0:18:05.520
<v Speaker 1>advertisers creative within that prime pod. If it is just

0:18:05.760 --> 0:18:09.119
<v Speaker 1>the same old creative that they've been using for a

0:18:09.200 --> 0:18:13.520
<v Speaker 1>year or so, does that have an impact on performance?

0:18:13.600 --> 0:18:18.320
<v Speaker 1>And if it is a highly um emotional ad in

0:18:18.359 --> 0:18:23.239
<v Speaker 1>a non emotional show, what impact does that have. So

0:18:23.280 --> 0:18:25.919
<v Speaker 1>we're really trying to elevate the conversation to be not

0:18:26.080 --> 0:18:29.080
<v Speaker 1>just about the prime pods itself, but also what's the

0:18:29.160 --> 0:18:34.240
<v Speaker 1>advertiser message that runs within the prime pod. Um. And

0:18:34.280 --> 0:18:36.960
<v Speaker 1>so we're looking at, Okay, what shows perform better? Is

0:18:37.000 --> 0:18:38.439
<v Speaker 1>it better to have it in the front of the

0:18:38.480 --> 0:18:41.199
<v Speaker 1>show at the back of the show? Um? And so

0:18:41.240 --> 0:18:45.399
<v Speaker 1>we're going through just digging into the deep. The data

0:18:45.440 --> 0:18:48.280
<v Speaker 1>in six weeks is not enough to you know, I say,

0:18:48.320 --> 0:18:51.560
<v Speaker 1>to make a trend. Um. But yeah, we are definitely

0:18:51.600 --> 0:18:56.280
<v Speaker 1>exploring on ways to just improve the consumer experience. I mean,

0:18:56.320 --> 0:18:59.680
<v Speaker 1>we have a great experience on our FVP, but VP

0:18:59.880 --> 0:19:03.080
<v Speaker 1>is a full episode player which is on our digital

0:19:03.280 --> 0:19:07.840
<v Speaker 1>Sorry all of the internal terms, um, but you know

0:19:08.400 --> 0:19:13.199
<v Speaker 1>it's a better ad experience than television. But um. But

0:19:13.280 --> 0:19:17.600
<v Speaker 1>when you think about the entire ecosystem of media and fragmentation,

0:19:18.160 --> 0:19:21.439
<v Speaker 1>there is clutter and it's getting harder and harder for

0:19:21.520 --> 0:19:25.560
<v Speaker 1>advertisers to really stand out. And so they're trying to

0:19:25.600 --> 0:19:29.560
<v Speaker 1>invest in how do you connect on a more relevant basis,

0:19:30.240 --> 0:19:36.480
<v Speaker 1>how do you, um create experiences that go beyond you know,

0:19:36.520 --> 0:19:39.560
<v Speaker 1>a thirty second spot. So we're trying to just test

0:19:39.600 --> 0:19:43.400
<v Speaker 1>out and expand some of those capabilities. The flip side

0:19:43.440 --> 0:19:46.640
<v Speaker 1>of this is wondering about is for advertisers just the

0:19:46.720 --> 0:19:51.159
<v Speaker 1>process of buying the ads, placing the ads. I assume

0:19:51.240 --> 0:19:54.800
<v Speaker 1>there's plenty of innovation to be done. There plenty of innovation,

0:19:54.880 --> 0:19:57.960
<v Speaker 1>but I think, you know, the if you if you

0:19:58.119 --> 0:20:03.359
<v Speaker 1>build that continuum of measurement in the right way, a

0:20:03.400 --> 0:20:07.200
<v Speaker 1>lot of that could happen ahead of time in terms

0:20:07.280 --> 0:20:13.040
<v Speaker 1>of planning the most optimal media by across our portfolio.

0:20:14.000 --> 0:20:17.159
<v Speaker 1>And then it is a matter of just sitting down

0:20:17.200 --> 0:20:20.639
<v Speaker 1>with advertisers and yes, there's a little bit of you know,

0:20:20.720 --> 0:20:24.280
<v Speaker 1>the work that advertisers have to do to retool how

0:20:24.320 --> 0:20:27.760
<v Speaker 1>they think about creative and there's a lot of work

0:20:27.800 --> 0:20:29.800
<v Speaker 1>that we have to do on our end to make

0:20:29.840 --> 0:20:35.560
<v Speaker 1>sure that we have the right data capabilities, the AI

0:20:35.920 --> 0:20:39.600
<v Speaker 1>to help with those well with those processes and making

0:20:39.640 --> 0:20:44.800
<v Speaker 1>them making them easier. So there's a lot of big plans,

0:20:44.840 --> 0:20:47.959
<v Speaker 1>a lot of big changes. I'm just curious how concrete

0:20:48.000 --> 0:20:49.760
<v Speaker 1>they are. In other words, do you have some sort

0:20:49.760 --> 0:20:52.280
<v Speaker 1>of roadmap of here's what the next ten years of

0:20:52.400 --> 0:21:01.400
<v Speaker 1>change looks like? I do in my head almost soon enough.

0:21:02.320 --> 0:21:06.320
<v Speaker 1>But you know, I think we'll be coming out with

0:21:06.359 --> 0:21:09.600
<v Speaker 1>more of that in the next next few months. I mean,

0:21:09.640 --> 0:21:12.800
<v Speaker 1>I think part of the problem we're sorry the opportunity,

0:21:13.440 --> 0:21:18.400
<v Speaker 1>the challenge is that you're trying to reform something that

0:21:19.119 --> 0:21:22.639
<v Speaker 1>from a broad business perspective is still in such a

0:21:22.680 --> 0:21:27.359
<v Speaker 1>state of flux. You're it's like changing the tires while

0:21:27.400 --> 0:21:31.000
<v Speaker 1>the car is being modeled beyond running. It's like like

0:21:31.040 --> 0:21:36.000
<v Speaker 1>the pit crew at NASCAR. Yes, yes, so, and apologies

0:21:36.040 --> 0:21:41.840
<v Speaker 1>if you guys don't have rights to Nascar. But has

0:21:41.880 --> 0:21:44.760
<v Speaker 1>that been something that has figured into the challenge here

0:21:44.800 --> 0:21:47.160
<v Speaker 1>where it's like you think you've got something figured out,

0:21:47.200 --> 0:21:49.959
<v Speaker 1>it's like, oh wait, that's that already just changed? Yeah? Um,

0:21:50.240 --> 0:21:54.119
<v Speaker 1>you know that's the innovator's dilemma, right, you have to

0:21:54.240 --> 0:21:59.239
<v Speaker 1>keep the current machine running because you we all have

0:21:59.400 --> 0:22:03.520
<v Speaker 1>revenue to targets to hit. But how do we continue

0:22:03.640 --> 0:22:09.439
<v Speaker 1>to focus on innovation and pushing that agenda? Um, I

0:22:09.480 --> 0:22:12.560
<v Speaker 1>think we have no choice but to push that agenda

0:22:12.640 --> 0:22:16.960
<v Speaker 1>because marketers are demanding so much more from us in

0:22:17.080 --> 0:22:20.600
<v Speaker 1>terms of you know, yes, we know you have great shows,

0:22:20.640 --> 0:22:24.359
<v Speaker 1>but what is it doing to deliver on results for me?

0:22:24.640 --> 0:22:27.840
<v Speaker 1>So well? Have we have to do it? We just

0:22:28.000 --> 0:22:30.360
<v Speaker 1>I think as an industry, we just have to do it.

0:22:30.520 --> 0:22:33.760
<v Speaker 1>And we're bringing agencies along in that process because I

0:22:33.840 --> 0:22:40.040
<v Speaker 1>think agencies are also under the same pressure that UM

0:22:40.160 --> 0:22:44.600
<v Speaker 1>that marketers are under to drive impact, and so we

0:22:44.720 --> 0:22:49.200
<v Speaker 1>keep you know, the internal mantra is around. We want

0:22:49.200 --> 0:22:55.760
<v Speaker 1>to shift from counting impressions to delivering impact, and so

0:22:55.840 --> 0:22:58.359
<v Speaker 1>we just keep saying that. When there's a roadblock in

0:22:58.680 --> 0:23:03.240
<v Speaker 1>a measurement solution or technology, or we can't get resources,

0:23:03.280 --> 0:23:05.560
<v Speaker 1>we just keep saying, this is our this is our vision.

0:23:05.880 --> 0:23:08.640
<v Speaker 1>We've got to get there. Well, it sounds like you've

0:23:08.680 --> 0:23:12.920
<v Speaker 1>got a very busy ahead of you. We'll have to

0:23:13.040 --> 0:23:15.280
<v Speaker 1>check back in at the end of the year then,

0:23:15.359 --> 0:23:18.080
<v Speaker 1>and and and see how far you've come. Thanks for you,

0:23:18.400 --> 0:23:22.639
<v Speaker 1>Thank you for having me. It was really fun. This

0:23:22.720 --> 0:23:26.040
<v Speaker 1>has been another episode of Strictly Business. Tune in next

0:23:26.040 --> 0:23:29.800
<v Speaker 1>week for another helping a scintillating conversation with media movers

0:23:29.800 --> 0:23:32.439
<v Speaker 1>and shakers, and please make sure you subscribe to the

0:23:32.480 --> 0:23:36.560
<v Speaker 1>podcast to hear future episodes. Also leave a review in

0:23:36.640 --> 0:23:38.680
<v Speaker 1>Apple Podcast let us know how we're doing.