AI Tools That Scale Marketing

Guy: [: 00:00:00

At Marketing machine.pro relevant.com. Today I'm interviewing two people, uh, Angela Tipton and Travis Franklin of Tipton, uh, Franklin. So let me tell you a little bit about, uh, both of them. So, Angela, uh, her career is a testament to her versatility and passion for technology and strategy. She's worked as a scientist with Fortune 500 companies before she received her MBA and pivoted into marketing.

kground, and that shaped his [: 00:01:00

Angela, uh, Travis, thanks so much.

Angela: Thanks for having us.

Guy: Yeah, absolutely. So, uh, so, uh, both of you, maybe let's start with Angela. Uh, so what's your backstory on AI and marketing?

Angela: Yeah, so a little bit about my background. I, I've always loved technology. I've always been really curious ever since I was a kid, and that's what got me into the field of science.

as a bit of a disconnect for [: 00:02:00

Um, I don't know how familiar you are with the controversy that was Monsanto, but that was one of the, the big names, at least at the time. And, uh, really when I looked at it. As was a, a big failure to communicate, and that's really what got me into the world of marketing. After I, I received my MBA, I got into marketing and really have loved the work that I've done in the, in the field of marketing and pivot into strategy.

Um, so I focus a lot of the work I do on marketing strategy, which of course, these days incorporates a lot of ai. AI is a game changer when it comes to the the work we're doing and it really can set businesses apart with what they're able to do with it, and it's fascinating. I'm excited to be in this day and age where we get to really embrace it and use it to help businesses set stand out from the competition.

Guy: Yeah, absolutely. It certainly, uh, it certainly can and hopefully, uh, will. So Travis, how about you? What's your backstory?

milar to Angela. I've always [: 00:03:00

Uh, and was really interested in, in computers at that time, even as a young age. I mean, I started off coding on a Commodore 64 and an Apple two e. Um, and then as I got older, I kind of, I, I got out of the computer side a little bit and, uh, into the marketing, uh, component and worked as you said in the intro, you know, intro, you know, quite a few different industries, and finally was able to pivot back into the technology side.

I. Um, but there's been so much change that I kinda lost some of that edge on like the coding. So, um, really focused on like the getting stuff done in marketing and especially over the last, you know, 10 years I. Was able to transition more and more into, into like that strategic role, uh, which was like, that's where my passion is.

over the last, you know, few [: 00:04:00

Um, and so I was like, you know, this really is, is the direction I want to take my career and, and really pivoted into that AI piece of it.

Guy: Same here. I mean, uh, ai, uh, man, once it came on, it was like, how can I learn more about this and, and apply it? And uh, you know, and that kind of brings up, uh, you know, where AI fits into, you know, marketing in general.

tation of AI just a, um. Uh, [: 00:05:00

Travis: Yeah, that, that's a really good question. It definitely factors into both, right?

From a strategic, uh, perspective, it gives you a. A quick way to analyze other competitors that are in your market. It gives you, I mean, I don't know the right terminology, but, you know, terabytes and terabytes of information that has been scraped, uh, by these different ais and, and they're pulling strategies from, you know, companies that are, you know, fortune one hundreds, to even some of the smaller, uh, companies that are out there.

ion team that is, that is AI [: 00:06:00

And so, you know, they're, they're going in there, they're able to scrape my leads. They can write copy, they can write code, they can, you know, do so many things. That then frees up my time to be able to look at that strategic side, right? So as clients come in and they are, you know, they're struggling with a certain situation.

We can get to a spot where there's not a, you know, we don't have to dedicate so many resources to figuring out the, the nuances of what they're doing. We can do a quick analysis with a, you know, perplexity or, or even, you know, Chad GT's new deep research, understand that industry, understand that company really well.

And then personally, based off of the experience that Angie and I have. You know, really, um, develop a personal, customized approach, uh, to whatever their strategy and and challenges are gonna be.

Guy: Yeah, absolutely. Uh, makes a lot of sense. How about you, Angela?

I would argue that right now [: 00:07:00

And the reason why I say that is because your outputs are only. As good as your inputs, right? You still have to be thinking through what is the output I'm trying to get? What are the prompts I'm gonna use? And that to me is being a lot more strategic. You really have to be thoughtful about that. You can give an AI a, a prompt, and depending on what.

You get outta that out output will entirely depend on what you put into that prompt, right? So you definitely have to be thoughtful about what you're putting in there. You can put in garbage if you want, but you're gonna garbage in, garbage out is, is kind of the concept, right? So, um, yes, it can be both, but right now I'd say that AI is.

Growing beyond its infancy, right? It's, it's grown, grown so quickly in such a short amount of time, but it's still so reliant on us to have good prompts. I think we'll get to a point in time where it's gonna continue to get better and better, and we don't have to be as strategic as we have to be now, but we're still not quite there.

e working. Up to that, and I [: 00:08:00

Guy: Yeah. Yeah, yeah. Absolutely. And I think the, uh, the strategic side is coming, um, and it seems to be a lot of the, the bigger, you know, more research based, uh, you know, very strategic, uh, highly competitive, you know, consumer packaged goods companies with the enormous budgets and multi-brands where they can.

Learn from one brand and then or one category and filter that across, so to speak, all of the other brands and categories that they have. But anyway, let's talk a little bit about some of the, uh, the, the latest AI tools, whether it's, you know, content writing or image creation and maybe some of the automation that you touched on Also, in terms of email and email creation.

ll come back to you, Angela. [: 00:09:00

Travis: So great question. I really think that the tools have advanced so much, uh, you know, over the last couple of years. I really enjoy, uh, Google's Gemini platform right now for almost all of the work that I've been doing.

Earlier, I was really heavy into to the Chad GPT model. I felt like it was, you know, able to do a lot more and give me really good information. Over the last week or two, I think even, um, Google's Gemini seems to have advanced so much more. Um, you know, for example, one thing I just literally was just using it for, uh, some email creation and, and the template I was using was really buggy and not working right.

t? So, um, you know, whether [: 00:10:00

Go in and analyze what, uh, some of my prospects in like the outreach I'm doing, uh, are interested in. So I can give it a list of, let's say, you know, 15 companies and say, Hey, find some of the decision makers and some of the influence, kinda like decision influencers and help me create really customized information to them, not just emails.

Um, because, you know, I think especially as, you know, to kind of sidebar for a minute, I think that as everybody's using AI on their emails, we're getting more and more and it's almost overloading us. So what I like to do is I like to, you know, use it as is creating some video scripts, um, so that I can, can use some video conversations.

you know, eBooks, et cetera. [: 00:11:00

You know, I think Claude is really good at that copywriting piece or the, at least the copy outlining piece. Gemini has more of a, at least maybe it's just the way that I've been using it, but it has more of that fun. I. Engaging, um, style. But yeah, that's, that's kind of how I've seen it. Um, an I'm not sure about you.

Angela: Gemini is definitely one of my favorites for a lot of the same reasons that, that Travis mentioned, so I, I won't repeat them, but, um, I will say that Gemini, I use, um, at least weekly basis, if not sometimes a daily basis. I, I use it all the time and so far in all of the other tools that I've used, it really doesn't.

Compare to some of the, the other ones. And what I mean by that is, um, it puts together much more comprehensive pieces that, well, I wouldn't say that you wanna copy and paste you, you can in a lot of ways with that, more so than you can with some of the other tools. It really does give you a really nice.

Well written piece of copy. [: 00:12:00

It, it does a really great job of doing that and it really does streamline a lot of the work that you're doing with that. Um, so that's one of my favorites, a new one. I've recently been using is hype ai. Um, that is one that is really designed for marketing professionals. There are so many different pieces that you can use with that they have, and they're launching new tools all the, all of the time.

y'll do a very comprehensive [: 00:13:00

And that really can save a ton of time, especially in that strategic side. When it comes to more of those strategic pieces, hype AI is definitely moving in that direction in terms of image generation. That to me is a little bit more behind. Some of the copy content pieces I've seen. But that said, I, I have seen some tools that are doing a pretty good job of that hype.

AI is one of those, it's doing pretty good with images, and I've found that the quality of the images really depends on, again, the prompt, the, the quality of the prompt that you enter in. Um, and there are ways to, to fine tune that. The other one that I think does a pretty good job of image generation is Microsoft Copilot.

re, they're growing, they're [: 00:14:00

Guy: Yeah, it is amazing how, um, how things are changing and how people are using them.

I hadn't heard about hype ai, so I'll definitely have to, uh, to take a look at that. And, um, uh, one of our conversations that we had about, um, image generation, uh, really for, for a larger brand or a larger company with a lot of cash, they've actually backed away from it because they don't quite understand the.

Legal ramifications of copyright infringement and things like that. So they, they were trying it, um, you know, and using it, and then they, they, they backed away, uh, for, you know, for legal reasons. And, uh, and I think that unfortunately is the case. I think though, you know, some of the, these image houses like Getty and Shutterstock, they're gonna figure out a better way to license those images so that they can be modified and that you as then the license.

Licensee, you [: 00:15:00

Angela: I'll take this one. I do not trust it a hundred percent. Uh, and maybe we'll get to in a day and age where I'm able to do that, but I would not. You, you can sometimes, depending on the quality of the platform that you're using and the quality of the, the prop that you're entering, sometimes you do get some really good material, but I don't think I have ever just.

it, it's accurate, but over [: 00:16:00

Um, the differences is that. Well, the one, one exception is if I don't put in a very good prompt, and I'll admit sometimes I get kind of lazy. I'm in a hurry, and I'll put in a very simple prompt and I don't always get the greatest material, and, and something like that might need either a better prompt or it might need me to take a little bit more time to edit it.

So, no, I, we're not at this point where I'd say that I a hundred percent trust it. I always want to. Double check and verify and very likely make some changes. But that said, depending on, um, the quality of the prompt that you put in and the quality of the output you get, you might be able to, on some occasions.

Travis: Yeah, that's great. I mean, and, and I'm totally in agreement. Um, I will, I, I can't say never, but I doubt that I will ever fully trust, you know, the content that's generated or the information that's out there. And I think that that's, that's very similar to how I've approached everything else in, in my career too, right?

esn't matter if it's someone [: 00:17:00

And so, um, you know, I may enter in a prompt and have a really good output, but I understand that there's a nuance between what I was able to prompt and what the client is asking for. And so there's gonna be some, some edits that need to be made, whether it's from like, you know, their, their strategy or whether it's the content that they're, uh, developing.

You know, from a code perspective, there's absolutely gonna be, you know, a requirement to double check and make sure that. The code is clean, that there's no defects in there, you know that it works as intended, that it's not sloppy. That's definitely it. And one thing Angela reminded me as she, as she was talking about prompts, I have, uh, been using a tool called Blow Potato.

he past, but it is a really, [: 00:18:00

So I can, I can replicate the prompt for certain things. So if I'm looking to write video drafts or if I'm looking to, to create blog posts or, you know, even LinkedIn stories, I can use her tool to, you know, replicate the prompt I've been using, but then also give it sources to reference so that it's not always me, you know, going in and copying and pasting the same thing again and again.

u know, in kind of a, a mass [: 00:19:00

Uh, you know, and, and that kind of streamlines, uh, you know, your marketing, it certainly saves time, but it also adds incredible personalization. But on the other hand, you can get things wrong or I take that back, AI will get things wrong. Um, and I think that's one of the, one of the challenges is if you want to get into like personalization.

Use AI for it. How do you read all of those things that come out of it to make sure that they're correct? Number one. And then number two, if you're, especially if you're in a, you know, in a larger brand, you've gotta have a legal, you know, person, you know, actually then approve all of that text and, uh, for them to do that.

Then all of a sudden, even though you may have saved time on writing the, you know, all the content for those emails, now you've exploded the time that you need on the legal side. Any, any thoughts on that? Yeah, that's a good,

Travis: that's a good question. I have not had to deal with the, the large, uh, brands yet, you know, as far as like their, their legal perspective.

s I, from an AI perspective, [: 00:20:00

Um, when it's AI generated, I think that we're gonna need to develop stronger, uh, processes on how that gets handled, on how the approval process goes. Um, so that, you know, your, your prompt is maybe pre-written and pre-approved and, um, you know, then you kind of have a feel for where it's, it's gonna go, um, when it's generating that content.

The other piece is, you know, like you, you made a really good point about there is so much risk for error. And what I like to do is I like to start really small on a small scale, right? Like, so have it, you know, run, run it on a few demos and maybe only target, you know, 15 or 20, uh, individuals and see how it performs.

ake modifications and slowly [: 00:21:00

You know, I, I think I shared earlier that, you know, I got an email that had been very clearly written and developed by ai and most of it was okay, but part of it was wrong and it pulled the wrong, you know, information. I don't know if that was just a bad prompt, if that was a bad merge, but that is, uh, a risk that that company decided they were okay.

You know, having, and I think that, you know, that's, that's the same way I approach, like, let's make sure that we communicate very clearly upfront what our expectations are, what risk that individual's willing to take, and then proceed from there.

Guy: Yeah. Angela, let me [: 00:22:00

Uh, the, um. You know, one thing I I've always been considering is could you use, uh, let's say you use chat GPT to do your email generation in a hyper-personalized way, and then you use, I don't know, a copilot or Gemini or maybe even hype AI to check it, so to speak, so that it's, uh, you know, reasonably. So that you reduce the probability that there's an error in there, you know?

'cause it could then flag, um, you know, at least the ones that are questionable. And then you could either, you know, with, you know, as a human, you could go back and then verify that they're right or wrong. Uh, as opposed to just, you know, taking what you get out of whatever the engine is you're using and then just, you know, putting it out under your email.

Um, you know, you wonder if there's, uh, you know, some opportunities to sort mixing and matching some of these to, to find some of those errors. Sorry to jump in there, Angela. I'll let you, uh, have at it then. I.

that absolutely you can use [: 00:23:00

I think that you only can trust the ai, at least at the point that they're at so far, and well, yes, I agree that you can check them. That'll help increase. Your odds of, of, uh, a better piece of copy, for instance. Um, the other thing I was gonna add too is that you can reduce the amount of personalization that you're doing, right?

You can just have, you can have some personalization in there. Um, in fact, there are a lot of tools today that you don't even need to use AI that will allow you to personalize emails. Just really, really simple example, most of us get. Those marketing emails with our first names on them, right? You, you don't need an AI tool to do that for you.

have? And how much risk are [: 00:24:00

The risk, though, is that you're gonna have, I. Potentially some content in there that is just not relevant at all, that is wrong or, or is mixed up. So you just have to, to weigh that. But yeah, I, I agree. I think that you can use the different AI tools with each other to check them. And sometimes too, the best approach is simple.

I'm not saying that's always the best approach, but maybe you just have a little bit of personal personalization and, and not a ton, and then you just build up that complexity from there. You test that out, see how well it's working, and then add on. To the level of personalization and, and see how it goes from there.

does is it lets me build out [: 00:25:00

So, um, at the end of it, the, the content has been proofed and it's been, you know, reviewed for different answers. So, for example, at the start, I, I have an input, I. This says, um, you know, hey, here's, here's the topic I'm gonna write about. Here's the, you know, kind of some of the parameters. And then there's, it goes into different agents.

And so each one of those agents, you know, one will be based off of chat, GPT. Another is on perplexity, the chat. GPT one may be assigned a, um, kind of a structure role. And it says, you know, that that agent runs in and says, okay, here's the outline of what, based off of your input we should be writing about.

tion from both of those and, [: 00:26:00

It then delivers it to another agent that, that writes it, and it's, it's been assigned maybe, you know, in Claude or Hype ai, like all the, you know, I can assign it to different AI tools. And then that goes to a, a further agent that would be like your editor and like, Hey, I'm, I'm fact checking. It's, uh, you know, checking for copy errors.

It's checking for factual information, and then it delivers the final result. That final result is emailed or sent to me for that human involved review and saves me, you know, hours of time that those agents are able to, to run automatically and in the background. You know, you know, 24 7 basically.

Guy: Yeah.

don't know, a couple hundred [: 00:27:00

Um, I think there's kind of a middle ground in there. You know, I think you can't. At least yet not read a million emails, you know, before they get sent out. You know, it, it would be very difficult even if you were even able to use at least, maybe you could even use an AI to filter some of 'em. But still a million is is a lot.

I think that what happens is that, let's say that if you were really gonna customize stuff based on the information that you have. It might also be that many of the customers, or personalizations rather, are actually very similar because people fall into segments. They have personas. So you could maybe get 80% of them covered with only, you know, 20 or a hundred, or, you know, 200 variants as opposed to 800,000 variants.

sure they're right, let the [: 00:28:00

You have maybe 200,000 where you, you just, you just don't try and be personalized. You just, just, it's just too much. And so you, you know, you could break the problem out into like, you know, an A, B, C. C analysis and figure out which ones could be marginally personalized and which ones you just don't personalize and you just standardize on 'em.

You know? So maybe there's some ways to, you know, to get around there, get around the, you know, the challenges on that, just the scale of that.

Angela: Yeah. I, I was gonna say, I, I agree with you and, and I think Guy, this, this comes back to. To strategy, right? You're talking about segmenting your, your customers, and you don't have to necessarily use an AI to personalize every single, individual person, but if you are segmenting your list appropriately, and you've done that really effectively.

You can personalize that [: 00:29:00

You wanna use your strategy complimentary to the AI tools that you're using. So how do you balance those things together? How can you make them make sense And well, yes, you can use your AI tools for some strategy. You're still not gonna get that same. Personal element as you would with with a human that is thoughtfully segmenting that list.

So how do you do that in a way that is smart, that allows you to maximize the benefits of the AI tools that are available to us in a way that is really meaningful to that list of subscribers you have. They're gonna receive. This personalized email that you're gonna send out.

t, that we as marketers have [: 00:30:00

So, uh, absolutely. Let me change the subject a little bit. So marketing and ai, uh, no question. It's a game changer. Uh, it's definitely been able to, uh, improve tactics and, uh, I. I personally think it has an enormous opportunity to improve strategy. Uh, but then there's kind of also a middle piece, which I think is the operations piece because it just, like what we were talking about, it's not just, you know, how do I improve email, but how do I operationalize it?

make more money, you'll get [: 00:31:00

Any, uh, any thoughts on that?

Travis: I definitely agree. The, the operational side, I'm a little biased because I like the marketing piece. That's where my, you know, experience is. And so that's where I'm, you know, tending to use it the most. But from an operational perspective. There are so many inefficiencies in the way, whether it's a marketing department or whether a business is being run that AI can quickly analyze and, and give you, uh, best practices.

So, you know, I may have a, you know, coffee shop and I'm struggling with, uh, you know, how to get my payroll done quickly, but I may be able to use AI to say, Hey. Help me understand how Starbucks is able to do it so quickly, or how this big chain is able to do that so quickly and take their operational understandings and experiences and, and incorporate that into a smaller, uh, company.

ll, and, and that I'm seeing [: 00:32:00

I. I am not a project manager and I've never been really good at it. So if you look at my to-do lists, they can be really long. What I've been able to use, uh, the different ais to do is improve the, the way that I actually structure my daily workflows. I. So I, I say, Hey, you know what, I, I, and I use Chad GPT for this.

I say, this is the tasks that I have coming up this week. Help me prioritize which ones of those are most important. And it gives me an output based off of whatever prompt I've asked for. For me, that's made such a improvement on the way that I get things done quicker. You know, operationally I have more flexibility then to do new research, to, to do the learn the next tool.

t's, that's been really, uh, [: 00:33:00

What do we, you know, how do we, how do we, um, as business owners. Kind of factor in that, and I don't have the right answer for that yet. Um, I don't know, Angela, if you have any, you're, you're Angela's a lot better on that side than I am, so I'm, I'm curious if you have any thoughts.

Angela: So on the operations, I, I used to be on the operations side, the qa, qc side for, for a while when I was in my career and.

s on the level of capability [: 00:34:00

Other companies, it's yet another one of those things that they just don't have time for, and there's that tribal knowledge. And they rely on that. And, and that itself is, is a risk, but I won't dive into that. Um, so some companies are, are great at keeping these SOPs and some companies will even use, um, concepts like Clean Six Sigma is something that I used to be involved in to really help hone in on your operational efficiency.

It's a great practice, but it is another one of those things that takes time. I do think that there's a potential for AI to be involved and help streamline some of those efforts, but it's gonna depend on how well those processes are documented and that that is, can be a burden on the company or the team that may or may not have those processes in place.

So while, [: 00:35:00

I don't think that we're there to today. I think there's definitely that, the potential for it to be there at some point. Um, I can absolutely see the, the value in that. I think over time we'll start to see that. And I think, again, this will be another game changer for companies that are able to use this effectively.

It's gonna help 'em stand apart from the competition and drive down costs to customers and help them improve their margins as well. So absolutely there's a, a, a positive business impact. The reality of it today, I don't think we're there, but there is that potential for, uh, some time in the future. For sure.

wo more questions. Uh, one I [: 00:36:00

Travis: You know, I, I think that the best one to really start with is Chad, GBT.

It, you know, it's, it's the most refined out there so far. It has really good documentation, whether you're, you know, go to a company to learn about it, um, or whether you just try and do it on your own. I would, I would start there and it's, you know, it's so easy to be distracted by all the different changes and all the different AI platforms that are out there.

ve your prompts, how you can [: 00:37:00

And then, um, you know, Sabrina has, if you're a paid subscriber of that, she has a really good newsletter that she sends out and, and educates, uh, individuals on that. So those are the two that I would pick.

Angela: So my approach should be a little bit different. Um, I think the, that those tools are really helpful.

I think that if you're entirely brand new to using AI tools and you don't know what you're doing or where you're going, one of the best tools in my opinion to get started on and experiment with is, is Google Gemini. I think it's very easy to just. Explore it to experiment with it. See what's possible.

Anyone from mom and dad next door to the, the CEO of a company can use it, right? It. It's one of those that you don't need to know anything about how it works. You can just experiment with it and try it and get a feel for it. I think that's a good way to start getting. Exposure to these AI tools and understand what is possible.

easy. I am biased because I [: 00:38:00

So I think that's a really easy way to get started. I think that's a good way to get exposure to the tools that are out there and what is possible. It also helps you refine your knowledge and understanding of what kind of prompts work well or. What kind of level of detail can you get into with your prompts?

And this is where I started really with building out my prompts, is I started really simple with just a single line of refine a, a title for me that has this keyword. And that's it. That's, that's all I did. And then now I'm writing and at times, paragraphs worth the prompts. And sometimes I do get much better responses with that, but I don't always need my paragraphs or responses depending on what I'm looking for.

Get familiar with the tools [: 00:39:00

Guy: Yeah, that's perfect. Um, I like your, uh, you know, the, the two different ones.

Uh, I haven't spent too much time on Gemini yet, and, you know, maybe what I need to do is just every, every week just, you know, try out a new one and just to see which ones I like. Um, alright, so last question. Uh, and this is a little bit different. Uh, normally I ask, uh, what advice would you give a, uh, new and upcoming up and coming marketer, uh, as it relates to ai, but now I'm gonna ask it differently.

What kind of advice would you give a, uh, an up and coming marketer to help them to manage their relationship with their boss? I. That's a And you can't a question by going to chat GPT.

knows something about an AI [: 00:40:00

I would go in there and I would, um, say, you know, pick whichever tool you want. Gemini, uh, is going to give you probably the most human-like, conversation chat. GPT is gonna have a lot of in depth. Go, go to your favorite one and, and type in a really good prompt and say, you know, this is, this is what I'm looking to do with my manager.

These are the, the challenges I'm facing. This is maybe, uh, my manager's, uh, typical response to questions that I'm asking. This is our interaction history, and maybe even assign your manager's personality in as part of that prompt. And then just, you know, hit enter it, see what it generates, and then just have a conversation back and forth with the ai.

rom like a, a back and forth [: 00:41:00

I. Um, with individuals that I'm engaging with on a regular basis, and Chad GP t's tool has been really helpful in that.

Angela: I'm gonna take, yeah, I'm gonna take a slightly, uh, different approach to, to my question. I'm gonna make the assumption that this new marketer is really up and coming and getting kind of comfortable with their role and the industry that they're in, and maybe they're working with a manager that isn't very familiar.

f, have a good understanding [: 00:42:00

I've observed when people are less familiar with the AI tools that are out there, what is possible with it? Usually it comes with a, a dose of some skepticism of, well, I I don't need that. You know, the work I'm doing is, is working, is fine. And, and, and I respect that everyone has the right to, to work the way that they feel like is best for them.

But I. I do think that AI tools can really help us stand out from the competition. It can help us stand out and work, and it can help us bring our businesses to a new level and so on. So I, I do think some of that ownership rests on us as marketers, including young marketers, to help explain the value of the tools that are available today, and it can simply come from a place.

ld, it's really important to [: 00:43:00

We own our jobs. That it is on us to elevate that to some level, right? And we can really, what it, the way you do that is by taking ownership of your role and helping others excel and do better. And you can do that with ai. Get, get really good at it. Experiment with it, play with it, teach others how to use it and share that openly with your manager.

Yeah. And be honest about. The ways that you can use it to elevate your role and elevate your brand and do all these things better. And I think there's a lot more understanding that comes with that when you can explain it to someone in a way that's nice, but you have to own that yourself as a young marketer.

Yeah.

e expecting it to kind of be [: 00:44:00

Uh, this was wonderful. Uh, really some great insights, uh, Angela and Travis. Really appreciate it. And, uh, for the audience, definitely stay tuned for more episodes in this series of. The backstory on marketing and ai, and if you'd like to please go to marketing machine.pro relevant.com and download some more of the, uh, excerpts or, uh, some thoughts on my new book, the AI Marketing Machine.

And of course, if you like this episode, please write it with. Stores. Angela and Travis, thank you so much. I really appreciate it.

Angela: Thanks for having us.