Why Every Modern Marketer Needs to Master Prompting and Embrace AI for Growth with Pam Didner

Pam Didner [00:00:00]:
A I just feel like there are so many AI news out there. So if you don’t keep it for three months, what is the consequence? But during that time you are prompting A you know how to prompt even more effectively, well, you still gain something. Influential and thought provoking minds in marketing, sales, and business, A business of marketing podcast.

A. Lee Judge [00:00:24]:
Welcome again to the business of marketing. I’m A Lee Judge. Marketers concerned about AI, this episode’s for you. Because A, we have the honor of talking with a fellow crusader in the effort of joining sales and marketing into a single focus team. But to do that, she’s leading, with a new and very important message, which is how the modern marketer can use AI to become more effective and impactful in their marketing efforts. So welcome again, Pam Didner. Hey, Pam.

Pam Didner [00:00:54]:
Hey. So happy to see you again, Lee. I’m sorry I lost my voice because I went to Coachella. I was screaming and yelling the whole time.

A. Lee Judge [00:01:03]:
Lucky you.

Pam Didner [00:01:06]:
I It was like, you know, after the show, Lee, I came back, my years were ringing A for at least one day. Now it’s so much fun.

A. Lee Judge [00:01:13]:
I thought you were joking. I’m so jealous.

Pam Didner [00:01:17]:
It was, how should I say it Lee? An experience.

A. Lee Judge [00:01:21]:
An A. Okay, we’ll talk about that one again when we see each other in person. I wanna hear about that experience for sure.

Pam Didner [00:01:28]:
Love to share, love to share.

A. Lee Judge [00:01:30]:
So let’s get right into A, Pam. I mean, we have some history together. We’ve learned and we’ve we’ve both been on the circuit talking about sales and marketing, but we’re both fit with this thing AI, right? So we have to figure out how do we help marketers with their AI. So starting out, you know, you’ve been a leader in aligning sales and marketing and I’ve attended several of your amazing workshops, But your new

Pam Didner [00:01:51]:
book tie. Stay tie.

A. Lee Judge [00:01:52]:
Thank you. I mean, I always learn something from you. So, this new pivot, you know, your new book focuses on AI’s role in A. And we know that most conversations about AI and marketing focus on automation and content creation. So when your new books, do you bridge this into sales and marketing alignment, or is it simply a topic that marketers really need to pay attention to?

Pam Didner [00:02:14]:
You know, great question. So the books are right here. K? A modern AI marketer in A GPT Era. Judge want everybody to know this is, like, 100 pages. That’s it. Wow. There’s two in the right Yeah. Two.

Pam Didner [00:02:26]:
The other one is actually just prompts, and this is even shorter. It’s 50 pages. You literally can read those books like like watching Netflix. I’m serious. Well, I like that you have a prompt

A. Lee Judge [00:02:39]:
separate from the other book, though. That’s clever.

Pam Didner [00:02:41]:
Yeah. Right here, this book also have about, you know, 30 prompts, but this one has more than 75 prompts. It’s more A like the initial prompts that you should use if you decided to do certain marketing tactics. Does that make sense? Okay. So you know how you you use the AI extensively. I mean, I see some of your posts that you you did. I was like, oh my god, you are so good. And you and if you are using chat GPT A, and you you will write A prompt and then you will kind of Lee having A or writing additional prompts to interact with, the the chatbot or chat g p t.

Pam Didner [00:03:19]:
You know, I the the the book here, when I say I have a 75 plus prompt, it’s that initiating prompt you can use as an A. And then as it goes on, you obviously add as you see fit. So, yeah, this is A like specifically A prompt for different marketing, you know, disciplines, if you will. And then there are some sales examples here as well, but I have to say, honestly, it’s more tailored for b to b marketers.

A. Lee Judge [00:03:46]:
To A. Oh, specifically b to b?

Pam Didner [00:03:48]:
Yeah. I would say B2B. I’m a B2B gal. That’s where I’m back then. Yeah. You know what I’m saying? So I was like, hey, that’s right stuff for B2B. But if you are a marketer in general A you just want to know, like, the little bit of AI history and also what prompts to use A also how you should approach in terms of the scaling, or automation using AI, this book is for you too. So

A. Lee Judge [00:04:15]:
A. This reminds Lee, I had an article on my website. It’s it’s probably about two, maybe three years old now, and it was Lee Yeah. The 10 things every digital marketer must know to be good at what they do. And as I recall, at that point, I didn’t have prompting as a core thing you need to know. So is that where we are now, where marketers really need to have prompting as a core part of their skillset?

Pam Didner [00:04:39]:
Okay. So I have two different answers for that. Okay? So A one school basically said, A, we will have a new job for marketers called problem engineering. Right? It’s A like, Google when it launched A search engine marketing. And, there is, agencies or people A in search being created as a new marketing discipline. So A there is a school Lee said, hey, you know what? In the future, there will be a job specifically for prompt engineering. Yes and no. I personally think that everybody needs to learn how to prompt.

Pam Didner [00:05:20]:
It it’s A of like, you know, when Google search A, there there are two sides of it. Right? The one side is basically, there are people Lee to help your website to make sure your website is optimized for search. So that is a marketing discipline. But there’s another side. Everybody Lee to learn how to Google search. That becomes part of our jobs. So I think that same analogy applies. You you every single one of us need to learn how to prompt.

Pam Didner [00:05:52]:
I, I don’t believe that there is like, oh, a specific job that you go to A this person will prompt for you. I think it’s our job to learn how to prompt effectively. So it’s more or less like, you know, we craft our communication skills so we can be a better communicator, with our management, with our sales, with our peers. And, why don’t we also A better so we can work better and more effectively with, chatbots? So I think you need everyone should have that skill set if you will.

A. Lee Judge [00:06:25]:
Okay. So sort of like, you know, at some point, everybody had or people had on their resumes things like word processing or I don’t know how to use the Content, but now it’s one of those things that you just assume to do your job, any job, you have to know how to use word, use the internet. It’s a A, right?

Pam Didner [00:06:42]:
Given. Well said. Well said. Yeah.

A. Lee Judge [00:06:45]:
Okay. So that’s where we’re A be with prompt engineering. It’s gonna be pretty much a

Pam Didner [00:06:49]:
given. Yeah. I think so too. This that that’s my point of view, but, we’ll see how everything goes. Yeah.

A. Lee Judge [00:06:54]:
I agree. And if even if it’s not gonna be where you have to do what we call prompt engineering, you have to understand what is going on under the hood. Lee, what what are your words being even if you’re talking to a computer and it’s responding back to you, you may not call it prompt engineering, but you’re talking to a computer, you’re transcribing a prompt into a computer and it’s gonna respond to you. And that is even if we don’t see it as that anymore, that will still be prompting a response from AI.

Pam Didner [00:07:24]:
Yep. It’s I think it will become kinda Lee a third communication skills that you need to have. In the past, it’s always Lee written and, you know, speaking. Right? And then now it’s gonna Lee, like, marketing, talking to the AI should be probably another, category under that overarching communication skills.

A. Lee Judge [00:07:46]:
So as we get into the more utility of using AI, you

Pam Didner [00:07:50]:
know, we

A. Lee Judge [00:07:51]:
have our individual marketers who were getting better at our jobs A using AI. But then as we work with our teams A enterprises, enterprises should be learning how to scale with this new technology. So what do you say to marketers who are trying to figure out how to help their enterprises scale more using AI?

Pam Didner [00:08:12]:
I like that question a lot. So you obviously break it down at an individual level, at a team level, and also at the organizational level. When I say organization, it’s like a division. Right? So if you’re thinking about AI usage, that A an individual A, like Lee, you are using it on Lee basis. And I know a lot of savvy marketers are using on daily basis as well to ideate, to brainstorm, even to, you know, find a way to write content. So they use on a regular basis. That’s at individual level. So individual level has a lot to do with, you need to prompt well or you can build, like, AI A to automate some of your tasks.

Pam Didner [00:08:54]:
Right? So that’s individual level. At the team level, from my perspective is now you are expanding from individual how you work to a team. Like you, a group of five people, a group of two people, a group of 10 people. How can you use AI to make everybody effective? Right? So a lot of time that has a lot to do within the A within the enterprise. Do you have a specific A tools that everybody uses? For example, you know, everybody Lee Chargebee T or everybody using Copilot. Right? So what are some of the AI tools that is A that everybody uses? Because if you use one tool, there’s a synergy and there’s effectiveness that can be built because everybody’s on that same tool. Is that helpful? So that is at the team level. Then the next level is A division or organization level.

Pam Didner [00:09:53]:
Right? So A, now we’re talking about 20 people, a hundred people. Right? It’s a whole it’s a whole division with many, many teams. In that situation, you have to think that everybody you need to make sure everybody’s using it. The usage rate is high, so everybody’s moving in the same direction. You cannot look at a division level. It’s like only three people out of, you know, 100 people are using A, then that’s not efficient. So at a team level, you need to have a training. Make sure that everybody, like, good chunk of people are using it.

Pam Didner [00:10:26]:
Right? Because when you everybody’s using it, you can move everybody at the same pace. But if very few people are using it, only three people are going forward and the others are left behind, and that’s not gonna work. So at a team level, you need to focus on the usage rate in addition to what’s the common tools that everybody use A to make sure that that usage rate is up. Everybody is using it A how his use need to be shared. So in terms of, like, the the organizational, usage, you need to be tracked A like a training. You may have a training manager in HR. You maybe have a training manager under your ops team. Like, somebody need to track that A then make sure everybody is using it.

Pam Didner [00:11:12]:
Once everybody is using it, then you can think about, okay. We need to automate some of the process with AI A what can we do to automate that. So you have to change the behavior first. Right? A the behavior is slowly morphed and changed, then let’s talk about automation.

A. Lee Judge [00:11:30]:
I like that you mentioned the different departments because, you know, every part of any business, whether it be sales, marketing, HR, communications, whatever, executive level, there’s space for for AI in all those A, whether or not they realize it yet. And I think companies are still kind of just realizing I mean, even in my own business, I use it from everything from from marketing to sales, to analytics, to creating, to responding to bids and creating content, all those things can be, made better or faster, more efficient using AI. Gotta put the A

Pam Didner [00:12:07]:
up there. Yes, exactly. I was like, oh my God, check it out.

A. Lee Judge [00:12:13]:
For those who are listening to the audio, Pam has the books on the shelf, but definitely go to Amazon so you can get those, not just see the book, but buy the book while you’re there.

Pam Didner [00:12:22]:
I appreciate it. Thank you. Full of plug.

A. Lee Judge [00:12:24]:
Well, you mentioned a couple of things in a way we can start learning and implementing AI within our A. So I’m sure I know within your book you have some frameworks. So, yeah, can you share with us one or two frameworks from the book that can help us, put some of these things into action?

Pam Didner [00:12:40]:
So at an individual level, at the minimal, you need to start prompting. If you are doing a lot of prompts, good for you. Keep up, girl. I mean, I should A should not say girls. I have a tendency of doing that. Keep up, my friends. Keep up. Anyway, so, and to keep doing what you do and, and to learn that how far you can use AI.

Pam Didner [00:13:04]:
So that’s one. Then the other thing is, I would say A, at the individual Lee, that there are certain tasks you do every single day repetitively. Right? So for example, if you are a podcast producer, you recorded a podcast, you need to write a description, you need to write a title about it. Right? So you have to do that every single day when you, editing the podcast episode. Let’s assume that’s your task. So you have to identify what are some of the repetitive tasks and can those tasks be automated by using AI agent on, say, chat GBT. You can actually write a specific prompt and then you just upload that information every single time, you know, upload, the script A then they will summarize it for you A they will write three to five titles for you to choose. So the thing is at the individual level, in addition to prompt, thinking about what are some repetitive tasks that you can delegate to AI.

A. Lee Judge [00:14:03]:
The other that that’s from my perspective is automation that you are doing for yourself. And the other thing at the team level, you have to look at workflows. The only way to really, really evaluate how AI can help you A a team, like a group A, five or six or even more people, is you have to look at the process, how you guys work A. Like for email marketing, who is doing what And, how is people transition from one person to another? How did you transition that and then you enter into an email marketing platform A then you push that out? There is a process, there are steps you follow, documented and documented. You know that, Right? So is it possible you can look that process A documented the process and then sit back and say, okay, that’s our process. What are some of the processes can we merge? Mhmm. Right? So maybe, you know, instead of having somebody write A blog and that that draft can be written by AI, A little bit. But anyway, that’s just a suggestion.

Pam Didner [00:15:12]:
And the other one is the title suggestions, and, that can be done by AI. Can we automate that process? You you you uploaded the blog post A things will be spilled out automatically. So you really have to look at the processes and then determine which part of it you want to automate. I I I cannot think of any other way to automate at the team and the organization level without evaluating workflows.

A. Lee Judge [00:15:41]:
If you’re a marketer struggling to create content that’s truly unique to your brand, here’s the key. Your experts and executives are your most valuable content assets. Conversational content Lee videos and podcasts featuring your team stand out above all of the content. So instead of creating content that sounds just like your competition, start leveraging the unique voices inside your company. Thought leaders and authentic conversations build credibility and engagement. At Content Master, we specialize in remote content A, meaning Lee coach your people to be comfortable on camera, then we capture and produce high quality videos and podcast featuring your team and customers. No need for expensive production crews, long production plans or complex setups. Wanna see how it works? Visit contentmaster.com today to learn more.

A. Lee Judge [00:16:35]:
You know, workflows are my favorite part of AI because

Pam Didner [00:16:40]:
I know. Is that Lee we can geek out about that.

A. Lee Judge [00:16:44]:
Yes. I could geek out about workflows with AI because my background, I I spent lots of years doing marketing A. And so I love marketing ops.

Pam Didner [00:16:53]:
I love marketing ops.

A. Lee Judge [00:16:54]:
Anytime I can figure out a way to avoid repetition A even within my team, I might say, look. What what are you doing in this particular workflow that you do every time A same way that doesn’t require your creativity. It’s just a matter of you. Oh, when this video gets made, we’re gonna transcribe it. A we’re gonna do this, these three steps. If you can identify things like that, we’re gonna automate it. Lee, there’s nothing you should be doing. Now if there’s gonna be a a point where we say, you know A? Stop Lee, human in the loop at this point, and then put it back into the automation.

A. Lee Judge [00:17:29]:
We have those sometimes too, where it may we may stop somewhere, put a human in, put it back in automation. But the the key of the process is if you can identify anything that doesn’t require creativity or a human decision, if it’s repetitious work, we try to automate it. And the beauty now is now it’s not just if this then that A. It’s if this It’s

Pam Didner [00:17:52]:
more than that.

A. Lee Judge [00:17:53]:
Create something, change A.

Pam Didner [00:17:55]:
Change it. You hit the floor. And that’s where A and I A. I 100% agree.

A. Lee Judge [00:18:01]:
Marketers and sales Lee, if you wanna close more deals and drive real revenue growth, you need cash, and I don’t mean money. I’m talking about my new book, Cash, A Four Keys to Better Sales, Smarter Marketing, and a Supercharged Revenue Machine. It gives you a proven framework to improve the four areas that impact A the most, communication, alignment, systems, and honesty. You need a stronger sales and marketing engine, and this book will show you how to build it. Get your copy now at aleejudge.com/cash. Now back to the content.

Pam Didner [00:18:38]:
I 100% agree. Yeah. So now I’m looking

A. Lee Judge [00:18:41]:
at some of our workflows A you have, you know, you have programs that we’re just moving things. But now we have, you know, take this, go to chat GPT, come back, do this thing, now go to perplexity, come back, go to clog, come back.

Pam Didner [00:18:53]:
Come back.

A. Lee Judge [00:18:54]:
Yeah. Yeah. And and so the workflows are beautiful. So A that, now, I review our company’s workflows often to see how they can be upgraded or changed out or whatever, but it can get really daunting keeping up with all the new things. And part of what we’re selling to our customers is, look, we’re gonna take off some of your stress. We’re gonna study all the new things so you don’t have to. But for the average marketer, what is your advice, A, keeping up with this pace of change with AI?

Pam Didner [00:19:25]:
What if I’m telling everybody, don’t keep up with it?

A. Lee Judge [00:19:29]:
Okay. Tell me what Do

Pam Didner [00:19:30]:
I try to flip it? So, like, for example, I just read the news today. Okay? Like, in China, they actually have, like, a robot doing the first, the the they have, like, five or six robots doing, like, the half marathon. They they ran along with the real A, and a couple of them failed. Okay. But there’s one actually completed the first marathon. And, so let’s think about that piece of AI news. Okay. Let’s just think about it.

Pam Didner [00:20:02]:
I was like, okay. The first time I look at that, I was like, okay, is there any impact in B2B marketing? Okay. Maybe eventually somebody will create B2B marketer. I don’t know, like a robot, but not now. Okay. Second thing is fine, the robot is running A with a human. That’s great, but they are not communicating with A. They are just running with A human.

Pam Didner [00:20:21]:
Okay. So that doesn’t impact that b two b marketing. Third, I was like, okay, that’s just a piece of news. I read it. I register. I move on. So the way that you have to look at A AI news is you read it, and then you think about it. Does this impact my job? If it doesn’t impact your job, move on.

Pam Didner [00:20:40]:
Does that make sense? Let it go. Let it go. A, I just feel like there are so many AI news out there. So if you don’t keep it for three months, what is the consequence? But during that time, you are prompting, and you know how to prompt even more effectively. Well, you still gain some right there. Does that make sense? It’s Lee, I don’t know every single piece of news matters. That’s my point. Right? A, I was like, oh, I need to keep up with it because I I I’m a thought leader.

Pam Didner [00:21:07]:
Okay. I’m just using that loosely. Right? I, and I want to be able to answer any question that Lee comes to, you know, comes to ask. I want to be able to answer a question like any clients ask. And then I was like, that’s too much. I finally say, nope. I don’t have to pick them up.

A. Lee Judge [00:21:22]:
I’m A pause here to tell our A. If you’re talking with someone who claims to be an expert, they’re going to say, I don’t know. The smartest people will say, I don’t know. If the person you’re talking to claims to know it all, they’re probably the wrong person to listen to.

Pam Didner [00:21:37]:
That I A% agree. Yeah. I say, I don’t know often. I also say, because

A. Lee Judge [00:21:44]:
you know A, you know, and you know what you don’t know, or at Lee, you know, enough to stop, you know, you’re talking about chasing that shiny object because my philosophy currently is to go deep on what I am focused on and not try to be shallow on everything. Like, I can’t watch everything. A, like, for me, with Chat GPT, for example, I don’t pay as much attention to the other LLMs because I’ve got a deep library in open AI. Right? I even go beyond chat GBT and other open AI offerings, but I go deep into those A I would not have been able to go that deep had I spent time going to Claude and Lama and all the others. Right? So I go deep in one video. I go deep in one, image creation. I go deep in one large language model, but I don’t try to go deep in all of them.

Pam Didner [00:22:37]:
All of it. Yep. Mhmm.

A. Lee Judge [00:22:39]:
Yeah. Okay.

Pam Didner [00:22:40]:
Yeah. Same here. I’m A to you as well. But the one thing, because I, my clients are enterprise clients. So in addition to No Child GBT, I also force myself to understand Copilot because a lot of them are enterprise clients. And, like, one of the manufacturing A that hired me to do a keynote, they basically said, I only want you to talk about Copilot. We are we are only allowed to use Copilot within our company. So I I actually make an effort try to know Copilot as much as I can.

Pam Didner [00:23:14]:
A at the end of the day, it’s still about Ponting.

A. Lee Judge [00:23:16]:
I think you and I, because we’re talking to enterprises, will be forced to know CoPilot only because they’re forced to stay in CoPilot.

Pam Didner [00:23:24]:
Yes.

A. Lee Judge [00:23:25]:
Opinion CoPilot’s gonna end up being the next Clippy for Microsoft. Like, it’s just not it’s for those who are old enough to know what Clippy is,

Pam Didner [00:23:34]:
it was the first

A. Lee Judge [00:23:35]:
so called AI thirty, forty years ago in Microsoft. They just became annoying. It wasn’t very useful. And as of now, I’ve not seen Copilot be very useful to many people compared to what you can do outside of Microsoft. So

Pam Didner [00:23:50]:
I think we’re pitching it

A. Lee Judge [00:23:51]:
because people were saying, look, we A get involved in AI, but we’re confined to Microsoft products. All we have is Copilot. All we have approved in our enterprise is Copilot. Help us learn that. That’s unfortunate, I think.

Pam Didner [00:24:08]:
Well, so can I have a slightly, different point of view on that, Lee? Please. To some extent, I see your point of view, and I’m actually partially agree with you. However, for this time around, and I I think your comparison to Clippy makes perfect sense to me, by the way. However, for this time around, I think there might be a little bit different. The outcome of the story as is A, A, we don’t know, you know, the ending just yet. But I think the outcome will be a slightly different let me tell you why. Number one is Clippy doesn’t have a huge LLM behind it. Right? A then this time for Copilot, they actually have LLM, the large language model of their own version, behind it to to to make Copilot smarter every day.

Pam Didner [00:24:57]:
You know how Microsoft will launch something and it’s incredibly clunky? Sorry, Microsoft. I I love you guys, but it’s usually clunky to start with. Yeah. But over a period of time, they make it better. They do. Like A office suite. Like, remember the first time we use Word or any kind of office suite? We’re like, what? I don’t understand. Then over a period of time, they make it better, they make it better, they make it better.

Pam Didner [00:25:22]:
For this time around, I hear you, but at the same time, they have so much money and they have so much power. They can make Copilot better over a period of time. And plus, they they are making this integrated to every single Microsoft applications. It’s almost A major product features they are highlighting right now. It has to be better. Okay. So I think the outcome might be A, might be than Clippy. That’s all.

A. Lee Judge [00:25:53]:
I hope so. I mean, my Yeah. What my wish is A, well, first of all, there’s an expectation in Wish. My expectation is that when it comes to all the LLMs, there’s gonna be after all the hype and all the different ones come out, it’s gonna be a fallout where there’s only two or three major A. Just like

Pam Didner [00:26:09]:
I agree. Kinda A like the search way back. Right? There’s a lot of search engine companies and A Lee or two.

A. Lee Judge [00:26:15]:
A, you have one or two. You got Bing and

Pam Didner [00:26:17]:
you got Google and yeah. Oh, yep. Yep. Yep.

A. Lee Judge [00:26:19]:
A in Safari, which I guess is Google. And then operating systems, you you know, you could go in with Linux and whatever else out there, but you’re gonna basically have Windows and macOS. Right? There’s only a couple of them. If you wanna do a spreadsheet, it’s gonna be the Google Sheets or Excel. Yep. Right?

Pam Didner [00:26:37]:
Yep. Yep. Yep. Yep. Yeah. 100% free.

A. Lee Judge [00:26:39]:
And I was excited when and I don’t know what the relationship is today with OpenAI and Microsoft, but I was like, you know what? If their A is as good as as ChatTBT is is built on OpenAI LLM, that’s gonna be great. So what I hope in the future is is that we’ll have full the full abilities of OpenAI built into Microsoft, and we’ll have full Gemini built into all the A Docs. And they’ll both be just that smart because Google is, you know, Gemini is good. OpenAI is good. It’s just that we have all these these competitions going out for these small pieces of the pie right now.

Pam Didner [00:27:14]:
Yeah. It’s basically each company have to claim their space. Right? But I think the all the A glitch, the detail eventually will sort out. And the division UI that that you are sharing just now in terms of A what Gemini can do for Google and also by A, leveraging, you know, OpenAI’s, LLM will also get smarter. I I think that vision is to come. I do. I I see that these A, they are not dumb. They they they have to make it work.

Pam Didner [00:27:47]:
Even if it doesn’t make it work, you know, user have so much power if we complain so much. Yeah. Somehow Lee will make it work. Yeah.

A. Lee Judge [00:27:58]:
I think Lee when when we get all these LMs tamed, we’re gonna have somebody will be the Google, somebody will be the Bing, and somebody will be the DuckDuckGo. Like, it’ll still exist. Yeah. It just won’t be a big user base.

Pam Didner [00:28:13]:
Yeah. It is. For niche. Right? A for niche players. Yeah.

A. Lee Judge [00:28:17]:
For niche. Okay. So, A, let’s wrap up by finishing up on your book. So the book, the two A, give me the titles of those two versions.

Pam Didner [00:28:26]:
Yeah. Very quickly, let me grab it so people can see it if you A, watching it, on video. One is called the Modern AI Marketer in the GPT A. This basically is 100 page, page book. It’s really talking about a brief, AI history A also, some of the key prompts examples that you can use. And also one chapter about how you can approach if you decide to scale or automate, the AI within your A. You know, very simple things. I didn’t make it complicated.

Pam Didner [00:28:59]:
And I get to point I I get to the point, get to the point, get to the point. There’s no A. Easy read. Again, tailored for b two b marketers. And this one is only 50 pages. Use this as a tool book. And, it’s basically A like when you want to say, I want to write, you know, I want to write a blog post that A for search and, target for specific audience. How do you write, like, initial prompt? And that this is more than 75 prompts that you can look into it, and I give them a specific category so it’s easy read.

Pam Didner [00:29:34]:
So whenever you want to write an initial prompt, you can kinda open it and then read about it. That’s it. Nothing else. So these are, like, two very easy books to read. And by the way this

A. Lee Judge [00:29:44]:
oh, go ahead.

Pam Didner [00:29:45]:
Feedback is welcome. Right? And, connect with me on LinkedIn. Let me know what you think about the book. If it sucks, tell me. It’s I’m I’m okay, man. I’m okay.

A. Lee Judge [00:29:56]:
No. Pam, the best part about these books is that, you know, AI is so vast A is people as people become aware of it, they realize how big it is. And these books were specific to marketers. So if you’re a marketer, you don’t have to wade through all the other junk about AI. You can learn about how it actually applies to you as a marketer.

Pam Didner [00:30:14]:
Yes. That is true. Because I mean, like Lee, both of us, we are in the trenches all the time. Like, we we are not A, like, talk, talk, talk. I mean, we talk. But we also do things. Right? We are in the trenches marketing with our clients about projects. So A, hopefully, whatever I’m sharing is really kind A, like, actionable and, applicable to all of you.

Pam Didner [00:30:39]:
Yeah.

A. Lee Judge [00:30:41]:
Perfect. Perfect. Well, Pam, one last time, how can we connect with you? What’s the best place to find you A where you prefer us to go to get the book?

Pam Didner [00:30:50]:
Amazon.com will be great. Type my name A then the the book should come up. That’s one way to get a book. The other thing is connect with me on LinkedIn. Love to hear from you. If you really want to reach out to me for any specific questions, my website is also great, www.pmdinner.com. So looking forward to hearing from you.

A. Lee Judge [00:31:13]:
Alright. Wonderful. Thanks, Pam. And thanks to the listeners. If you’re listening to the podcast and also want to see Pam and I, video of the podcast and others are available in the podcast section of contentmonster.com. Catch you next time.

Pam Didner [00:31:30]:
Thank you for listening to the business of marketing podcast, a show brought to you by contentmonster.com, the producer of b to b digital marketing content. Show notes can be found on contentmonsta.com as well as aleejudge.com.