make sure you turn off your like first time member, first time customer discount pop up or whatever,
like make sure that those, like evergreen things are gone, we're the amount completely reset everything to be Black Friday's specific, but anything else like that, anything else to avoid.
“I think that's an email policy, don't help. I think that's sort of that. There's nothing.”
Cool. All right, then finally, and, and again, given that we're going from least to most, this is the biggest impact piece, of course, which is creatives. So we've recently done a little bit of research on basically crunching the numbers on our sort of meta-spend and meta ads over the last several years. And a couple of some interesting insights, so we'll drop a link for that, I believe, in the show notes. But I just want to talk through some of this data here,
the headline on this particular like report that we've put together is that, quote, nobody makes enough ads. So talk through a little bit of some of the insights around that and other things that come out of this report. Yeah, so this is, this is the conversation I've sat through so many times in the last two. This came out of, I was being asked this one same question so many times. Before the entering October, every client was, should I just sacrifice October ads to make
November ads and then how many ads should I make, which is like, I get everyone into this thinking about it or in one supply and for it. And the answer to the came out is it was actually so good.
So the average spend per ad in the first 14 days for Black Friday ads is like 2-3. That's what
they're supposed to be. And October ads are less than half of what they spend in the first 14 days. But October ads spend in the quarter from October till December 50% more money than Black Friday ads. So anyone who says, oh, should I sacrifice my October ads so I can make more ads for November? It's actually bad, but because if we look at a return in a time horizon of three months, you actually make more money or return our money on October ads than any November ads. So please
don't make them stay of just stopping production of October ads just because you wanted to make more November ads. Like that is not the point. The point is nobody makes enough November ads, but that
“doesn't mean that you should stop your October production for that. That's just an important point”
to remember. Because when you go into Black Friday, you can look through your ad account. Black Friday specific ads will only drive 30% of the total ad spend of the account. Meaning all the evergreen ads actually carried rest of the 70% of the spend. That means whatever you've produced is actually like it has a lot of value. So don't disregard that. What was the first point? The second point was exactly in the opposite direction, which is
we took five different brands across all the different spin ranges. So we took people who spent
about 100k, 300k, 500k, million, two million. We took every type of brand and across the range.
We basically ran how many ads they make and basically how they're degradation changes. Like, so who makes how many ads? What the spend per ad and how it changes when you spend more money. And the interesting thing we found is that when we talk and then this is my experience. Like, I talked to people and I'm like, are you making Black Friday ads? But like, yeah, we are making a lot of ads. And then the thing is like, it's so relative because people don't
understand how many ads they're competition makes. So when they say, oh, I make a lot of ads, really how many? Oh, I'm going to make 200 Black Friday ads. And this dataset basically has a case set of a brand that made 1500 ads just for Black Friday in the last two years and their spending increase. And their spending increases, five grand a day goes to 55 grand a day because they launch 1500 ads all in on a single day. So it is used to change what people's perspective is on wall
im and scale. That is what I'm trying to point to go. Just like, this is true, right? We all know that a lot of brands at least half of the categories that exist in DDC make majority of their
“money in Black Friday. Then why not double down on it? Like, why not make significantly more ads?”
Like, people sometimes are seeing, oh, yeah, we would just make three ads last year. They spent so much money. Like, interesting. So why didn't you make more? Oh, you know what? And like this whole research is just for that. It's like, this research basically has, we distribute this across our clients. It basically said, how many ads you have made? And where you come in relation to everyone else, that spends the same amount. That was the important point. Which like, if you spend $55,000 a day
during pre-Black Friday, then compared to all the other brands that spent 1500 $1,000, like, there are you. And the funny thing was that brand wasn't the top, I think, 5% top, not even top, but it's just, like, it should just put in perspective. And like, this is true for a lot of businesses. Like, we have published this research, and you can go and even check it out. But the point is, your your value, like, there's a degradation, right? We make this margin return to the model.
That's all of what CDC started with. That's where our model started. Which like, how much money should I spend to get the best return on that money? Which like, I spend 5k, I get a 2x