and still like across our data set, Apple ovens, one of the fastest growing channels, 250%
“year or year growth in terms of it, but it's still low, low, single digit percentage points in”
aggregate, it's just like relative to meta and Google, the amount of spend and the amount of impact that you can have in terms of the focus on those channels, it's just such a small piece of the pie and you can sort of extrapolate that down to YouTube, Snapchat, Pinterest, TikTok, x ads, CTV and sort of on down the line from there, right? So, there's a trade-off and sort of focusing meaningful attention and resourcing to things that occupy in aggregate on the data set, a very
small percentage of the overall pie, right, which is like, okay, these additional channels you're trying to diversify in, could you be the outlier to where that channel becomes 10% of your media mix, 15% in it, actually occupies a meaningful portion of the pie? Yes, we've seen it, but in aggregate and for the most case, no, like that channel is going to like you go to 2% of your overall media mix, 3%, where like you can just get so much more impact out of the 97%
“going to meta and Google and so the trade-off becomes too full, it becomes a resourcing constraint”
and it becomes a measure measurement constraint around these channels being worthwhile pursuits in terms of pursuing diversification meaningfully, which is, okay, we want to launch on net new channel A, what we are going to need to do is, is develop resources in the form of meetings and conversations and individual people to be able to manage those channels and build up the ads and optimize and the platforms, et cetera, so we have to dedicate the resources and then, too, we're going
to need to have a measurement framework and do some measurement work to really understand the true impact of this channel because as we all see the incrementality factors of every channel is widely disparate and we have to get clarity on that piece as well, to where, again, like, if that channel is in aggregate, maybe it becomes 2, 3, 4, 5% of your media mix, like, is that trade-off worth it relative to dedicate the resources and the focus on these core channels that can produce
a lot more and, and for a lot of brands, the answer is still no, like, it's, it, it, it potentially
isn't, potentially isn't worth it. What's changed though? So what's changed is we've devoted a lot of our tech and resource in, as it relates to stateless into automation around the, the media buying and building on these platforms. So we have pushed to build, built in stateless, connected to the adlog, which connects to the dam, the digital asset management sort of system for all overbanned. So we can take, we're, we're literally launching thousands of ads a month per, per individual
brands and, in many cases, through this system and the tech is enabling this workflow in a way that it was, that was not enabled before and we're, we built that around meta and now it's expanding to now push those same exact assets to TikTok and YouTube shorts and all the other 9x16 vertical placements, right? So the resource against race is becoming less and less of an issue and that in the, in the wake of the platforms and how consolidated they're becoming an automated and then the,
the tech that enables pushing them that way. And then the second piece is measurement. Historically,
to get a really good measurement read on a channel, working with a high-level measurement tool could cost you on the low side $5,000 a month to most likely $10,000 plus them on. To do think of a reality, do you hold out testing like get a really good stat, say, experimental, experimentally driven read on net new channels and the impact. And so you're like, okay, I'm going to spend 10 grand on the measurement solution and the resourcing and spend on the channels
that work with it. Well, that's something to constrain anymore either because we've built our geohold out solution and the data team supporting it and turning here at CTC as a part of our core workload and the profiting where it's, it's the resourcing and the cost constraint on both sides and with the measurement is just not as, it's not a big barrier anymore. It's a much lower cost, it's much more streamlined. The tech is enabling so much more of the workflow that to launch
app love and and say, maybe we get $15,000, $20,000 a month of spent on this channel, it pencils. It actually makes sense in terms of a pursuit relative to the resourcing and measurement solutions available. We're previously, again, we're going to get the $20,000 and spend 10 of that we're going to spend on the measurement solution and resourcing. Then after a cog's like you're losing money on that pursuit relative to like what the upside impact is.
So those are the things that have changed as it relates to channel diversification and what that
“enables, I think it's really important to sort of teap what historically has been more of a”
barrier from our perspective and what is enabled now to make that less so, the case. Yeah, so yeah, just in the recap, like there's specific types of tooling that you need to have in place in order to make channel diversification make sense, at least at a smaller level. So that's something that we were told for now, but obviously as you're alluding to,
there's another type of diversification that is, if anything, more critical moving into,