Ai Multichannel Marketing Secrets

What do people want right now? And so we make AI automated email newsletters for some of the biggest thought leaders in the world and smaller brands in over 37 industries. And the secret to our sauce is we're a little bit less worried about the generative output. That's great. We can get that from almost any LLM. We're worried about how good is the machine learning that actually learns from what your people are doing and gives them more of what they want.

You guys were really, I think, one of, if not the first to do what you're doing and you've maintained a competitive advantage because you're constantly moving and moving very, very quickly and you've been out raising money. So you know, now the pressure is really on to scale and grow, test.

Everything because dumb stuff you think wouldn't work might work. And like tried and true, so called, you know, the golden rules of direct response marketing or any kind of marketing can fall directly flat on their face. Primarily because intent is fluid, right? Small team, no team, no time, list of greater than a thousand. You do great work, you're an existing business, you're not just getting started, you're not a solopreneur and you're growth minded. Like you want to learn and you want to get more data and you want to be better at marketing. We could be potentially a fantastic fit for you.

So I'm here with Joe Stulte. He is the founder of Daily AI. And you might know Joe because you've met him at abundance360 or you know that the automated AI newsletter that Peter Diamandis uses, Dan Sullivan uses and many, many others uses his platform. So today we're going to be talking about marketing automation and AI. But first of all, is everything I said accurate so far? Joe?

So far so good.

So I think.

I'm going to begin with, I think the big question, which is.

Right now there's an awful lot of AI generated content, marketing content especially, it's creating a lot of noise. How's your platform different? So it's not contributing to the noise, but it's actually creating stuff that's valuable and useful and meaningful.

Yeah, love that question. Great way to drop in. Thanks for having me here. I'll just start with by saying this like our company's mantra is outcomes over outputs. Like we start most of our meetings talking about that. Like that is our main core value, which is to say that who cares if you get a fancy output from AI or from any tool or even a human resource if it doesn't move the needle and get your business an outcome. The click the open, the sales call, show up the close, the cash in your bank account. Um, so we're really laser focused on, on outcomes as a starting place. And I think what really helps us differentiate is we were, we got in early, you know, because of our, we got early access to the OpenAI API way back in like 2021, 2022, back when it was GPT2. And so we very quickly made the hypothesis that when this hits the public availability threshold, everybody's going to be making stuff. And I don't think the world necessarily needs more stuff. Although it is incredibly cool to type something into an LLM and get an output. Text, audio, video. It's literally amazing. It's much cooler if it gets you an outcome. So from day one, our company was made around the ideas like how do we get our customers, who we call publishers, outcomes? And the first outcome that we really focused on is how do we get them a better open rate? Because it doesn't really matter if the newsletter that we make for people, whether it's human made or AI made or otherwise, if it doesn't land in the primary inbox and doesn't get like a genuine open, not a bot click or something filtered out, then doesn't matter, right? And so first we started focusing on opens, then we started moving down the funnel. How do we get better clicks? How do we get people to actually convert? And it all comes down to one big idea that we came up with, which is called adaptive learning. I like to think that there's three forms of truth, right? There's what a company or a brand thinks the market wants, there's what the market says that they want, and then there's what they actually click on. We want to know all three, but we really over index on that third one. So every time our machine learning helps a publisher or customer on our platform make a newsletter, it's actually learning from every subscriber's previous interactions. So it's adapting real time to what people are clicking on and engaging, not necessarily what the brand thinks that they want, although that's important. So it's this really close relationship with kind of what I call intent, fluidity, which is, you know, when it, when a subscriber or a prospect or a customer wants to interact, their intent is, is fluid. You know, like the way you felt on September 10, 2001 was probably different than the way you felt on September 12, 2001, because something really important happened in the middle. Well, some mini version of that is happening to us all the time. Whatever we have at our disposal to figure out, well, what, what do people want right now? And so our we make AI automated email newsletters for some of the biggest thought leaders in the world and smaller brands in over 37 industries. And the secret to our sauce is we're a little bit less worried about the generative output. That's, that's great. We can get that from almost any LLM. We're worried about how good is the machine learning that that actually learns from what your people are doing and gives them more of what they want.

Right. And I'm going to back up just a little bit because the first time you and I sat down, it was before ChatGPT OpenAI was available. There really wasn't a commercial platform. And the big promise was, hey, there's this cool platform where you can effectively train this thing to.

Write like you find articles and content that would be relevant to me. So I could basically set up daily AI, pick a bunch of ideas and it would go out and find content and essentially either repackage it, rewrite it, and build a newsletter engine that someone would subscribe to. And the big benefit was you guys early on could promise and verify that you had really, really high open rates newsletters that came out every single day. And it just got better and better and better. So it was about the metrics and I love that. And so did the big players who started using the platform.

And.

So let's back up two steps. Well, first of all, anything else that you want to add to that? Because I think that's really what's important is the big promise here is.

You know, you guys were really, I think one of, if not the first to do what you're doing. You've maintained a competitive advantage because you're constantly moving and moving very, very quickly and you've been out raising money. So you, you know, now the pressure is really on to scale and grow. But what did I miss in terms of a description of the platform and what makes it important?

No, that's it. I mean, you hit the high notes. I think the, that's kind of where we're at. That's not necessarily where the puck is going. Right. So I'll just give 30 seconds on, well, where do we go next? Right. So for us, newsletters are a good way to get in, but that's not where we're going to set up shop. It's not where we're going to make our home. What we're building next is something that we call a digital smart response marketing system, which is effectively we're gathering all this data on what your subscribers are clicking on and how they're interacting. And we're piping into almost everyone's CRMs to get data on who's buying, who's not, et cetera. So the future of what we'd like to build is to help people do the same thing, but send personalized messages to get people the right message at the right time over the right channel. Because something like 40% of the content you put in the marketplace actually pushes a prospect away from the sale because it's intrusive. Right. We want to help smaller companies, you know, these are companies, let's say, with less than 150 employees, be able to, you know, send Mike the message at the right time with the right information, with an offer or with not an offer. Maybe it's not time for Mike to get an offer. Maybe we need to hug him a little more before he gets the offer or whatever the promotion is, or maybe not. Right. And so that's something that we're super excited about, that we're rolling out in about six weeks around the newsletter and then we're going to expand that off the newsletter and start looking at WhatsApp, SMS, Slack, Discord owned media channels where you, you own your relationship with your end prospects or customers or contacts and you can control how you communicate with good.

I love that. That's.

I'm a huge, huge advocate of WhatsApp, especially because it's international, it's universal and.

It'S always been picking up steam with business clients as well.

I think that's really, really smart. And you can practically guarantee 100% deliverability, which is what matters most. Right.

So let's, I always like to begin with, let's talk about the stuff first and then earn the right to talk about ourselves. So for folks who don't know Joe Stulte, where did he come from? What's your background? What were you doing prior to this?

Why are you uniquely.

Positioned to be in charge of and part of daily AI in this movement?

Yeah. By the way, I love that sequencing. I'm going to have to borrow that.

Yeah. We can't start talking about you until we've earned a little respect. Right. That's the.

What's in it for them? Yeah, look, I started my career in management consulting and I was helping at the intersection of strategy and marketing for really big Fortune 100 companies. And what was cool about that was two things. One, I got access to very, very senior leaders. I got to see how the upper echelons of business, how do people move, how do they behave? And number two, the budgets and dollars and things that I were looking at, we're in the billions. So I was already desensitized to big numbers. But the bad part was that that really wasn't my soul's calling. It was killing me a little each day. In 2013 I left Microsoft. I moved from Seattle to Venice Beach, California and I've been a serial entrepreneur ever since. I'm a five time founder. I've had three successful exits, two amazing spectacular failures which as the cliche as it sounds, taught me more than my successes and they really did. And now we're on the sixth go round of the merry go round of this tech startup game. And so I think what's cool about this is that I'm, I'm coming to this sixth iteration of Joe as tech founder with a lot more wisdom, a lot more patience. I'm a father now. I have a much broader perspective of possibilities. Who to partner with, who not how to put the customer first in a way that's materially moving the ball forward. So you know, how does that show up for the customer for someone listening to this? Like we spend a non trivial amount of time really trying to figure out what our customers say they want and where, where the puck is going so that we could marry up to what's coming. It's kind of that, that old saying, you know, if they would have asked Henry Ford what to build, if Henry Ford would have asked his people what to build, they would have said a faster horse. But you know, he gave him a car. We're really, really spend a lot of time in this AI world where everything's moving so fast. How do you build what people need and what they want with today's capabilities around what they'll accept, like what they're willing to adopt. Because there's things we've been able to do with AI for the last three years that people didn't want to touch with a 10 foot pole. So it's really threading that needle and having the discernment to kind of put all that together in the right place at the right time and it's been really fun. Man. I haven't had this much time to marinate in that part of the business for any other venture that I've been in. And I'm realizing that that's the secret. That's the secret to continue to grow and make.

Well one thing I know about you is you're not eating ramen. No. So that's good. And.

When I listen to.

The story.

Like I feel you because I've been through the grind also. We have, our entrepreneurial journey is very, very similar.

And I'm going to just speak selfishly for a little bit because I think we can get to a destination that our audience wants. So like, what I like about Daily AI is this notion of number one, having a newsletter platform that writes for me so I don't have to do it and I don't have to have.

Copywriters constantly studying, keeping up with the latest and greatest, which that's not going to be their job. They're going to want to express themselves and do some artsy stuff. Right. That's, you know, like a great copywriter. I think there's more art than there is physics and science to that process. And the nature of what you guys do is a mix and a blend between those two. Next, doing it daily is really, really, really, really, really hard. It takes a lot of discipline. It's very rare that one person can do that really, really well the next. Besides just keeping up with all the tech, if that's what you decide to make, have Daily AI do for you.

The next one is making offers and using some science and some KPIs to do that. So you can decide what to drive. So for example.

And then you're also doing platformy things, meaning you develop the platform now and for example, you can cross promote other people's ads between.

Some of your customers. So if Peter Diamandis wants to cross promote Dan Sullivan stuff or Joe Polish's or mine, for example, you can be a gatekeeper there with that person's permission. So you can effectively create cross promotional relationships. That's pretty ideal.

Yeah.

And.

When you take that, so let's just put that in a box and say you've got a really, really cool platform and in a way the more customers you have, the stronger it becomes and the bigger moat that you have surrounding yourself. That's awesome. Then you've got the cross channel capabilities, meaning it's not just email, it's other platforms as well.

And then look, you're a relationship guy, you're a connection guy, you're innovating all the time, you're going to be the first to know about something happening and be able to bring that to your custom customers, all of which are big value. So before I ask you the question that I'm lining up, I just want you to comment and thread Any of those together, if there's something valuable there that you want to stack on top of.

No. You did a great job summarizing. That's awesome. I think that there's incredible intelligence. Like two of the big things that I think AI brings for us is automation and personalization. And inside of automation, when it comes to email, that's like subsegmenting, right? So the perfect sub segment could go all the way down to one just personalized communication. But that being said, there's really a lot of wisdom that comes from, you know, we're sending upwards of 7 or 8 million emails a day now, and every day that's growing exponentially. So. But we, you know, for example, when we brought on.

Robert Kennedy Jr. Is also a customer of ours. It's not an indictment or an endorsement of the man's politics. It's just he's a customer.

He's a guy who wants to mail stuff.

Good, good. Yeah, he wants to, he wants to engage his people. Right. For, for his own benefits and. Yeah, and look like, like he has a massive list. I'm not allowed to say like how many he has, but he has a lot. But something like 18 or 19% of his list was already on our platform through our other customers. And so our machine learning already knows when they open, what they like, what they're into. So you get this network effect that if you get, if you have a big enough list and you're in a certain market, there's a good probability that those subs are those subscribers, those humans are reading other kinds of newsletters already on our platform. We start to get this great halo effect of, well, what are they into? And if you just think about like boring stuff like warming up emails and deliverability, well, who do you think we're going to send to first? Probably the people that our machine learning knows when they open, that they open, that they care, you know, and then just build that momentum up. So we're really getting an advantage from a data perspective. And it's. That's like really automating all that stuff or a human would have to go in and do before. It's just, it's boring and it's the back office stuff, but that's actually the difference that makes the difference. Because if it doesn't land in a damn inbox, you can't see it in the first place. Right. So I could keep going. You hit the high notes. Then we get into the network effects of sharing content. Right. So like, you know, whether that's, you know, you were Dan Sullivan or Joe Polish or Chris Foss. You know, you guys have a good like similar ICP overlap, ideal customer profile overlap. If you make great content and you're like a thought leader or a source that's selected on Joe Polish's newsletter, you're going to get shared on his stuff automatically. And it just creates this really great effect where you get to stand on the shoulders of other giants, including the people that are your peers or contemporaries in a way that's super collaborative. So I've always thought that was cool, the idea of not having to go it alone just philosophically. And then we try to make that happen with technology in a way where you don't have to know how it works or think about it. It just works. And I love it.

I love it. So with that in mind.

I'm curious right now. You've had the great opportunity to have millions of emails leaving daily. You've had years to see how collating and curating content.

Benefits an audience and see the open rates, the clicks, the consistency.

And then being able to drop in offers because part of what your engine allows someone to do is drop in offers. And I assume you're optimizing how many offers, how often show up to maximize click throughs.

What do you know that most people don't know? What can you share? And again, I'm going to be super selfish here. So one of the things that you and I talked about doing is we're going to drop in some of my offers, for example, in the platform and we're going to give away a book.

I've got a certain number of book sales right now. It's stayed popular for a bit and then you've got other types of offers. So some of them are just free information.

I'm really curious about, like what offers work the best. What are you learning about days and times of open rates and click throughs? What are you learning about mailing in different countries? Like what are some of the unique insights that.

That aren't either obvious or normal or your platform is unique, you know, so that's a huge question, but I didn't know how else to encapsulate it. You've got unique insights no one else has based upon the volume and the type of stuff you're doing right now.

Yeah, and there's a lot to unpack there. The first thing I'll say, and it's like the unanswer to your big question, which is like.

Test everything because dumb stuff you think wouldn't work might work. And like tried and true so called, you know, the golden rules of direct response marketing or any kind of marketing can fall directly flat on their face. Primarily because intent is fluid, right. You know, like at the time of this recording there's like a pretty big dip in the stock market. Who knows how long that will last. People's intent has shifted today. Maybe a little bit less optimistic, maybe whatever, whatever your reaction to that is or maybe you have no reaction to that. So test everything. But that being said, I will say there are a few things that surprise me. The first thing is that this idea is not novel, but it's rung true. What I've seen across different people's newsletters is the bigger the promise, the bigger the proof. So if you're gonna have like a tremendous promise in your, in your offer, your ad or your we call them in our newsletters conversion cards, then you have to have some way to prove that in the ad to maximize your click through. So we've actually seen things just that are like you. A smaller promise with less copy that where you need to prove it. The burden to prove it is smaller. Like a free book versus you know, free access to a course that's gonna give this big thing right, like that does. There's a disconnect there. I don't, I don't understand the psychology. I'm just observing what's happening. So something like a free book is a slam dunk in a lot of our publishers newsletters. It's easy to understand if it's topically relevant and the person's intent is lined up. Bam. You just. It works. It works. Very, very.

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Well, the second thing is I thought that if we put you know, let's say like more than one ad in the newsletter that the second ad just wouldn't get any click through. And I was totally wrong about that. I mean the click through is about a third. So we our newsletters look like news feeds. It's like three or four thumb scrolls of content if you can imagine like Instagram in the inbox. What we found is the best position to place an ad is the second card. So there's an intro to the newsletter, a card that opens it up and then a sec. Then the second card is typically the gets the best clicks like let's say nine times out of ten. But if you place a second card at the bottom, let's say the second card from the bottom, that card might get anywhere from like 16 to 1/3 the clicks but the quality of those clicks is much higher. Why? Because you're getting someone that's taking the time to scroll to the bottom of your newsletter that arguably that person is more engaged. So the numbers are smaller but the throughput is typically of a higher quality. Now I'm caveating because I don't know man, test everything. Everybody's situation's different. But those are the couple of things that surprise me. Time of day, like no rhyme or reason, except try to avoid Friday for important stuff. That rule hasn't seemed to change like if for people that mail daily, Friday seem to be the day that has the biggest hit. So if you want to mail something that you don't want people to pay attention to, Friday is a good day for that. Um, try to and this is not universally true but if you have a broad international audience like like 4 to 7am Eastern has is kind of a good time to hit lots of time zones. But that shouldn't be rocket surgery. It's just time zone when, when people are awake. Other than that, I have not seen any strong data from our platform on oh send at this time. But it's really easy to tell when to send for your audience and our platform does that automatically. Right. So it'll in some cases test center if you're sending daily, it just watches when it does.

That's great. That's great. So I.

That is really, really great insights. And so what I'm really hearing your first point about the smallest amount of proof required to give away a book really just tells us how.

Trust is at an all time premium. Probably cynicism is at an all time premium right now. So you're Looking for friction free yeses.

Which is not news, it's not new, but I think it's one of those things that you've got to prioritize and say, okay, I think you need to have a friction free checklist and think about, okay, let's just make sure there's nothing here. And then this, this notion. And just listening to you right now, again, I was as I was listening to you going, okay, how can I use this? Well, for example, one of the things that we've talked about is.

You know, inside, I want to give away our AI book because it's an AI newsletter platform, right? It's like, let's just see how many clicks and how many completions we can. That'll be great info for both of us. But what if like I've got three other books, okay, so I've got your next act referral party and then my sales book. So my next highest value giveaway is your next act, which is basically reinvent yourself. That's the theme. I would love to do a test, if we were going to do a test is the AI book would be the top one because it's topically relevant and has the least amount of trust to overcome. It's like a free AI book, you can't go wrong. And I know it already sells well, but if the second offer would be to reinvent yourself based upon that, even if the clicks are a sixth or a third, if they're higher quality clicks, it means, you know, if that message resonates right away, reinvent yourself.

I'd be super curious what would happen there. And if we have an aggregate meaning, how many clicks, how many opt ins do you get on a volume basis that becomes a baseline. And as a marketer, and again, I was using a selfish application first because that's the world I operate in. But I'm going to know exactly what the clicks, the opens, the opt ins are going to be and I'll know the value. And over time I'd have a series of offers going out, let's say over the next 30 days. There's a lot of opportunities to touch. So when you hear that you as a marketer with the benefit of lots of data, you've got a lot of experimentation you've done, you can look at big data. What other ideas or assumptions show up to you? When we're speaking to other business owners here on how to think about marketing, how to earn trust, how to do some testing, like what else would you do?

Yeah, well, I think what we try to Optimize for in our business is is this like if you've heard of the 7114 rule, you know, Google did a study some years ago that basically showed to take a cold prospect all the way to a cash conversion, it takes something like seven hours of interaction across 11 touch points on four different platforms. And so what we really try to do is we try to get up that curve as fast as we can. So I do lots of podcasts that helps hit up the interactions or the seven hours of them hearing from us. We obviously send daily newsletters that hits the 11 interactions pretty quickly. And then we try to go across a bunch of different platforms. So in your case, email is awesome. It has more daily active users than any single social media platform. And why? Let's get everything we can from everything we've got. As our friend Jay Abraham says, if they click your book ad either of them, then let's pixel them and let's retarget them with the low budget Facebook ads. Boom. Now we can get them on Facebook, we can get them on WhatsApp, we can get them on Instagram. Now that's our four, four platforms. Then let's do the same thing on Google if we can. Right, so now I'm kind of following you around also. Then let's also follow up with email. So if they hit the page and subs like you get the email, obviously you want to follow up with them. So we want to kind of wrap them around what I call the halo effect through different touch points across different ecosystems and do that in an automated capacity. Because as much as I love our platform and I love, let's say that the large language learning models, the most powerful AI that we all have access to right now is the ad platforms. It's the longest running, oldest tested, most powerful way to reach people. So yeah, that would be my recommendation is like, let's get all the leverage we can from all the AI that we have access to by following them around with basic retargeting. Now I would change that if the scenario was a little bit different, but since we're giving away books or trying to get people to buy books, low lift, you don't need seven hours in the cockpit with them to get a book, but we do need some meaningful amount of touch points. So that's my paradigm is how do we think about the 711 four room rule, whether it's an exact science or directionally correct and try to get at people and get love on them and give them value across different platforms to get up that.

Right. That.

All.

All that makes a ton of sense.

Which really gets back to.

Lots of channels and I. And the stat that you rattled off was seven and a half hours.

Eleven different seven hours of, like, it doesn't have to be consecutive, but a 7 hours of exposure. 11 touch points across four platforms. So a platform could be Mike and I bump into each other at a conference that's in person. Then we jump on a zoom call. Then he gets an email from me, and then he sees my Facebook retard. That's the. That's four channels. So channels are broad. And then 11 touch points is 11 touch points. Right. I don't. I don't know how deep or how wide they need to be, but for us, we send daily newsletters. You subscribe. We have an average of 40 to 60% open rates. You get the 11 touches on email pretty quickly. And then seven hours is, like, cool. How do we get seven hours of interaction with them? It depends on your sales cycle. I mean, they may watch a webinar, and you get 30 or 45 minutes. They may read your book. Bam. There's the rest of your seven hours. If they finish it, it. Or they may come in and have a webinar, or they may come to an event, or there's lots of ways to get up that curb. I just love podcasting, because if I'm doing a good job of keeping people's attention, we're creating value. I'm getting that seven hours chipped down 45 minutes or 60 minutes at a time. So having your own podcast is extraordinarily powerful. So is just being on other people's platforms. I don't have my own podcast. I just stand on the other shoulder of other people like you. Thank you. You have an audience, you have a podcast, and I can go get on a bunch of people's podcasts and get up that curve fairly.

Yeah. And I would also suggest in this particular case, this is not to toot my horn. It's just to align with what you're saying. My audience are primarily, you know, because this is the podcast I do with Dan Sullivan. This is Strategic Coach. It's Genius Network. It's Abundance360. It's Eoypo. I have your perfect, ideal audience watching, listening to this, and it's multichannel.

And now we're breaking everything up into little chunks. We've been using Opus to break all of our podcast episodes into little chunks and then hit Instagram, LinkedIn, YouTube shorts.

I don't have TikTok on any of my devices, but someone else who works for me does. So it's getting out there on as many platforms as we can. Right. So.

And that I would say is perfect.

So that's fantastic. And the fact that I assume on your platform you have.

All of the bugs, all of the Pixel data that gets loaded up. So if someone's opening up your newsletter.

You know, I'll be able to start following them around on all of the different sites and buying ads as well. So.

Like, for our platform that are worth calling out, first of all, anything that that takes them out of the newsletter and into your ecosystem, if it's Pixel, you're going to get followed around. We get a tremendous amount of data from email as a channel. We get a lot more from places like WhatsApp and these other channels. And what's important is that I can send you, or rather you can send yourself. You can just go filter who are my most engaged subscribers over the last X days or Y editions, Bam. Export look alike list, please. Other, you know, Google and Meta, go, go find these people and give me more of them. So, like, there's lots of tricks that you can, you know, use to see, hey, based on how people are engaging and raising their hand with their attention to me right now, have they bought the widget and should I sell them more or what should my next best step be? For my most engaged people right now? That's an important question to ask all the time. Whether you're using us or not. We just happen to make it really easy to send you lists of people that are super engaged so that you can take them into your ecosystem and really get value out of them.

Awesome. So I have one more core question on with regards to the platform. Let's say I've been mailing and I know who my biggest openers are, my biggest clickers, the most likely to respond. Can I do sub.

Can I basically create a sub list out of our my most active and just send specialized newsletters to them through your platform?

Yeah. Today? No. By end of September. Yes. And the reason why is because we started off our platform sending individual newsletters to every subscriber. And earlier I was talking about how sometimes what people are willing to accept is there's a gap between that and what's possible. So we rolled that back as too many publishers were like, well, I don't trust AI to send it to individuals. Now everyone's begging us for it. So we're rolling that back out. So it's like, I can personalize the newsletter so that Mike has a little section that's like Mike's picks just for you. What you click on. We can send a bit of the newsletter, we can send a call to action, we can send broadcast emails. You can do all kinds of fun stuff based on how people have interacted with your newsletter. And we can do that automatically so that you don't have to do any of that. It'll just say, okay, when this behavior happens, send personalized messages under these circumstances and it'll just take care of it. And it will personalize it in a way that's like writing to you based on what you've clicked on. One of one segmentation, not, you know, like little small groups. It's like, you know, very personalized at the time that Mike's most likely to open it.

Okay, so I think this is a great.

Moment to bring everyone home. So I, I want to, if I were to grant you the benefit of handing you the perfect customer, who's a right fit for daily AI, who you know would get the most benefit from it?

Who are they? Let's just roll that. Perfect. Perfect client or customer who them getting involved, signing up, being able to get configured, which does not take a lot of time. It's relatively simple. You've got your own onboarding built in.

Who's a perfect fit for daily AI right now?

Yeah, I mean if you've got a list of more than a thousand people, which is a really important number, and you do really good work in the marketplace, meaning like you've got an existing product or service that makes money and adds real value to people and you don't have a lot of time or you don't have a lot of team to do this on your own, then you're probably our perfect customer. You know, we. If you've got a team that's, let's say more than a hundred people, not our perfect customer, because you could probably do a lot of this on your own. There's a lot of decision makers. It ends up being a game of, you know, opinions. Whereas like in the human wants to get involved. But if you're what I described, let's say, you know, team, small team, no team, no time, list of greater than a thousand, you do great work, you're an existing business, you're not just getting started, you're not a solopreneur and you're growth minded. Like you want to learn and you want to get more data and you want to be better at marketing. We are, could be potentially a fantastic fit for, for you if you're mailing a newsletter already, even better if you're not, that's all good. But those things have to be in place. And the last one is you got to want to send a newsletter. Otherwise probably not a good fit for you.

How about content? Are there content categories that this is not appropriate for and who would be the best?

Yeah, well, luckily the thing we use to do all this stuff, we call it the Perspective engine, it scrapes up to 3 million pieces of content a day. So there's nearly no niche. If there's content being produced on the Internet that you think your audience would be interested in, we can find it, package it, and send it to your people and watch what they click on. If you are the kind of brand that's like, no, I need to tighten the aperture of everything to the point where it's like, it's got to have this exact brand thing and this exact brand voice and this, this, this like you're putting a lot of like human subjectivity into it. Then we're probably not a good fit. Which isn't to say that isn't the right way to look at the world. It's just we aren't a good fit for you. We're using data to figure out the customer wants. Like we're over indexing on the click, not on what you think is best. And so we try to marry them up. But if that's you and it's like, you know, hey, that's your, that's your jam, then they're probably not a good fit for us. The other one is if it's like you believe that truth is only arrived at through peer reviewed scientific journals, there probably isn't enough content that you'd be proud to publish to your audience. We've run into that a handful of times where it's like, no, that's not accurate, or that's not real or true, well, that, you know, that's a pretty better or for worse a very narrow way to look at truth. So we, we, we, you know, there's not enough content for us to give you there. Otherwise, if you don't fit in those camps, we, we're fairly, we, we crush it. Like, if you really. And if you just want to give great content to your audience, you know, some people are like, like they have a little bit of a scarcity mindset and they're like, no, like, I don't want to send this person or that person. What if they go buy their stuff and like that kind of a mentality, then we're probably not a good fit because we're, we're, we're, we're, we're curating third party content. Very good third party content. So if that's your mindset, then you're probably not a good fit. But if that does not apply to you, you want to love your customers, you want to send them content that they'd be deeply interested in, and then give them offers that capitalize on that interest, then we're, we're worth having a chat.

I love it. Well, here's what we'll do. I'll make sure that there are links in show notes. There may be a special link in here, but for right now, head on over to Daily AI. You'll be able to sign up and see some of the stuff that Dan Sullivan, Peter Diamandis, Joe Polish, lots of other amazing people are using Daily AI for and learn a little bit more about Joe. And.

Joe's a guy you can trust. I like him. He's always got great insights. And no matter what, whether it's this or his next venture, make sure you follow him. So, anything else you want to add before we send people on their way, Joe?

That's it. Thanks for having me, Mike.

You got it. Thanks, brother.