So What? Generative AI in Sales

All right, everyone. It is Thursday. It is the Trust Insights uh at uh weekly live annual weekly live stream. So what the marketing analytics and insights live show. Katie is off today def you know defending Gotham and fighting crime in this in the streets of New York City, uh, you know, as as Batwoman.

So it's just John and I today. That is so yeah, I another the what is it, Shrek department store because she sent pictures of the tree down there. So yeah, she's right uh right up against the penguin. Exactly. Um today we're gonna be talking about generative AI in sales, using generative AI for the purposes of sales.

So John, you do a lot of selling of of things, marketing over coffee, sponsorships, trust insights, speaking deals, courses, and uh consulting services, and who knows what else uh you're you're selling on a regular and frequent basis. So when you think about the use of generative AI and and what it can do, what are the use cases and sales that come to mind for you right away? Yeah, the the big thing is, you know, I've followed along. You've you've come up with the six cases for generative AI. I'm sure we're gonna di delve into that, but that's really been my number one approach to this is that you can use these AI tools to basically hone your pitch, do a lot of the you know first drafts that are always the most painful to do.

And then being able to summarize and boil down information is also huge if you're lucky enough to have whether it's customer feedback or you know some kind of surveys that you can go through AI is just massive um leverage as far as being able to get more done with the same amount of stuff. So yeah, I think and like you've talked about too it's just I love the idea of an army of robots helping out and making kind of the ugly work easier and faster. Speaking of ugly work, um do you find yourself ever wanting to do more in-depth analysis of you know sales itself like sales operations looking at the the the deal records and saying well you know what's what's winning what's not winning you know no we we're not to that point and this is a something we see all the time in B2B is that there's just not enough volume, you know, it's like probably this year I had like 15 conversations that were for you know real huge money and you know you can dig into each of those deals and and figure out what's you know why they went the way they did or whatever. It's not like like a great example is you the stuff that you've done as far as call center data. Like we have clients that have 15,000 calls a month and be able to throw that into a model and churn it out and say, okay, these are the top five things you need to fix in your sales or customer service process.

Like that's just amazing. Yeah unfortunately we are uh you know we're still fighting the fight person to person. We don't have a enough piles of data to be able to churn through stuff. Um, but and I am also here to learn, too. You know, you've on been on the cutting edge of doing a bunch of this stuff.

So I'm sure you have some ideas on how we could, even on a small you know, scope use this. So I'm excited to dig in. Yeah. Well, so unsurprisingly, the place we're going to start is with uh the Trust Insights 5P framework, which is purpose, people, process, platform performance. And whatever task you're thinking of in sales, you have to start here to figure out what is the purpose of that task and what would be the purpose of using AI for that task.

Who are the people that need to be involved, both from a doing the thing as well as approvals, et cetera? What's the process for that task right now? Is you know, how how well broken out is it? How well documented is it? What's the platform that you're going to use?

And is integration an issue? So a lot of shops use Salesforce or Hubspot. If you want it to be more than an ad hoc one off, you might have to say, well, well, we need to figure out the requirements for making it work with our platform, or in cases like you know, Salesforce and HubSpot using the native AI tools built in. And then at the end of the day, the performance, which is if we implement this task partially or fully with AI, what how do we measure success? What happens?

The you know, did did does it do we measure on time? Like the task is done that much faster. Do we measure on revenue? You know, this this task that maybe wasn't getting done, now is getting done, and we can attribute X amount of dollars in revenue to it. So that's sort of the the five Ps.

Now, to get to the purpose, the first place that we would start with purpose building is the user story. Uh, this is something that you've heard a whole bunch of times. Uh, it is as a whatever you are, I need you, sew that, and you have the outcome. So think about some of the things that you mentioned, John. For example, um, fixing sales copywriting.

What would be the user story for justifying or or piloting the use of AI for that particular task? How would you state that as a user story? Yeah, the classic one with that would be, you know, as a sales or marketing exec, I need to create multiple iterations of the same offer so that I have, you know, 30 different versions to run on Google Ads and Facebook ads, you know, because you kind of have a rough idea of what your pitch is, but once you start testing it on a paid network, you're gonna want to have a bunch of variations and yeah, throwing that into a large language model and have it do all that copywriting to give you 30 different takes of basically the same pitch. That's a huge time saver. So is it is the outcome that you're just not doing it right now, or is the outcome that you're doing it right now and you're saving time by having machines do it?

Yeah, I mean, right now, not doing it. You know, it's just too much of a heavy lift. I mean, a lot of shops right now would have a person doing that as their full-time job, you know. Got it. Okay.

Um so I think that's a good place to start, then. So as a sales sales uh professional, I need to generate, you know, several dozen uh different sales pitches from the same starting point uh using generative AI so that I save time and can uh adapt pitches to the audience. Does that sound like a it makes sense? Yeah, and uh maybe something alongside um, you know, I can find the three most effective versions. Got it.

Okay, so there's a performance measure there. And that's really important because having that as being having that be part of the five piece. If you're trying to find the best performing pitch, that's an important consideration. You know, that's that really is the se that so that I can find the best performing uh top pitches for this thing so for anything but especially for sales I mean sales has relatively I would say standardized outcomes right you sold something you made some money or you didn't there's not a lot of wiggle room there so let's get started then with with that process of how we would do that so the first thing we need to think of is do we have sales pitches so is is there a sales pitch that you want to start with I think a great one would be the generative AI we have uh what we posted in social last week for the generative AI course and that would be a great place to start because that's where we would you know generate the ads from that got it okay so let's see um I'm gonna go dig around here in my my advertising and marketing uh generative AI course promotion is that sound like that sounds like the right one right so that would be this one here you go stick away to that that's good stuff all right so the first thing we want to do then is we want would want to have some kind let's go ahead close this out here we want to have some kind of starting point so what is when you when you talk about the 30 different variations and things and getting and finding the best pitch what do you think is the blocking obstacle right now in this pitch other than the fact that you know you just don't have enough people that makes a pitch less successful um it it's more that it's a mystery box of like you know, basically this whole pitch here has to get boiled down to meet the size requirements. You know, you have a uh uh you know, I have to pull it up, but it's like X number of characters first line, and then you get a second, three lines of uh copy, and then just one click to action.

So uh we have to boil this down into smaller bits, and so then we're stuck with the challenge of like, okay, so there's seven takeaways there or whatever, you know, we can maybe fit in one or two, which ones do we go with? And so that's oh god, so you're writing social ads or Google ads for this is what you want to do. Yeah, to you know, going into channels, yeah. Got it. Okay, so let's let's fire up our our our standard gender of AI interface.

I'm we're gonna use uh chat GPT for this. We'll switch over to the GPT4 model. Uh however, you can use any of the language models that are available. Uh Google just announced uh that Gemini is now part of BARD. So if you supposedly has the best performance for a non-paid chat bot, uh that remains to be seen, and maybe we'll do a bake off uh towards the beginning of the year to see how that's going.

So let's start real simple. The framework that we want to use for this sort of thing is what we call the race framework, roll action context execution. So uh having that information uh will will make this work better. So let's do our role. So you are so what it what platform we using, Google Ads, or what do you want to start with?

Yeah, let's start with Google. Sure. Google ads certified professional. You know Google ads, um, Google ads performance max CPC campaigns, CPA campaigns, display advertising, uh pay per click, search engine marketing, SEM search ads. Your first task will be to summarize and condense the following sales pitch into a Google Ads compatible format.

Okay, what are the Google Ads formats these days? Because it's been a hot minute since I've run one. Yeah, I'm in the same boat. Actually, I can pull up and add words and see what's going on here. Okay, it's uh responsive search ads, they are now called.

So we have responsive search ads. Benefits how it works, create a responsive ad. Okay, we have headlines. What are the space requirements of responsive search ads for Google Ads? Let's see.

I think it's still what, 35 characters for the headline and 90 for the hmm? That's what I remember. Yeah, yeah. I'm not exactly can't guarantee that, but I it's a good place to start. The requirements for the ad template are headline thirty-five characters maximum.

Responsive ad copy ninety characters maximum. Display URL destination URL 255 characters maximum the goal is to generate different variations of the ads based on the copy. Okay, who's our target audience? Who do we want to have by this thing? Yeah, target audience would be marketing professionals.

Um and hopefully marketing professionals that are um I don't know. I kind of that's a thing more about that. Marketing professionals looking for how to use generative AI as part of their tactics, and have a budget for training, right? They have a training budget, and they have the authority to make purchases. Any demographics or information about these people?

I mean, you could say marketing professionals between the ages of 21 and 46. Well, what about instead of instead of calendar age? What do we say uh people who've been in the in the marketing profession for what? How many years? Three years, five years?

Yeah, I mean, it could be even one or more year. I think just this is definitely stuff that gets farmed down to rookies in a lot of places. Okay, yeah, that way we're not being uh ageist. We're just saying, okay, you probably are are not a first day on the job. Um right, and you're not a CMO.

Right. Um okay, so that's that's our target buyer. Um, let's see. Google ads responsive search ads examples. Let's take a see if we can just find a couple of basic responsive search ad templates here that we can borrow.

You would think it'd be easy to actually find okay. Here we are. So let's see. Yep. So we have headlines, descriptions.

Yeah, I don't have a sample. All right. Let's see. Let's do here is the ad copy. Let's go ahead to our sales pitch copy here.

Before we begin, what questions do you have? That by the way is probably one of the most important things people just do not do is ask the machinery, what else do you need to know to do this task well? So let's see. You mentioned targeting marketing professionals as one to use experience. Are there any specific industries or company sizes for the target audience broad within the field of marketing?

I think that is a very good question. I think the answer to that could be things like you know, maybe companies with 50 million you know, 50 million dollars in revenue and up, right? Yeah, that's a good, you know, the odds of that having budget are a lot higher. That sounds good. The they work at companies with an annual revenue of two million or more.

All right. We have uh primary offer focus. So sales pitch offers both workshops and a course. What should we focus on? Yeah, focus on the course, definitely.

Okay. The sole focus of the ads should be directing people to the course. The course URL to use is AI course. Let's see. What are the most critical points to emphasize?

Uh I would say the last last two, right? The hands-on workshop. What do you think is more important? Hands-on workshop or comprehensive nature. Hands-on is probably number one.

The main value proposition and focus should be on the hands-on nature of the course. As a differentiator. Okay. We also have branding elements. Should the trust and brand not necessarily.

How many ad variations? Let's see. Twenty. Yeah. We want to generate at least twenty different distinct ads.

Let's see. A B testing considerations, not right now. Display URLs, destination URL, that's all set there. Um focus on the basic ad structure. Okay.

So we've got now the enhanced requirements. Generate 20 different ads based on the requirements. And it dump them into an Excel spreadsheet too. Um let's see if it can do it first at all. Um, because things like character casts language models have a really hard time counting uh because they're they're not good at math.

So look at this, this is dead on. Oh, this is a thing of beauty. Oh, isn't that funny? It's changing the display URLs, though. That so that's be one thing you'd want to say, right?

You'd say display URL must always be. Oh no, actually, the display doesn't have to be but the destination needs to always be the same. Yeah, which now that said, I would I would um I don't know if I would have different display URLs. I'm although I guess it's an interesting tactic to think about. Yeah, right, right.

I that's one of those things I you can run afoul with that, right? Though I mean that's we don't really know how that gets enforced. But it is an interesting that it's definitely worth testing. I would test it in one iteration to see what it does. Yep.

Okay, so clearly it can do this, right? So now one of the things you were asking about is can we get it to you want it in a spreadsheet format, right? Yeah, that makes life easier as far as when it comes time to uploading it into the thing. Generate it as a pipe delimited table in markdown format with the following columns. One headline, column two, description.

Column three, display URL. Column four destination URL. And we've decided that we didn't particularly like the wild things. So let's use this for both the display URL and the destination URL. Okay, so that's we're gonna give it a formatting instruction.

So remember in the race structure, roll action context execute. This is all execution here now. So we're we're giving it very clear details. Let's see, just for fun, after you generate the table in markdown format, make the table available as a CSV file and provide a download link. Let's see if we can let's shoot for the moon here.

And let's, you know, for um for time's sake, yeah, let's do just switch this down to five. Yeah, right. Because uh five different ads. All right, let's see what happens here. Ah, so it's actually going to build it in Python so that it can make it the CSV export.

That's interesting. Hmm. So it knows that it can't natively generate a CSV file. It has to use its Python laboratory to do that. Right.

And then, but then will it kick that automatically too, or do you have to grab the Python and just export it? Let's see. There's the result. I've created it. Yep, there it goes.

The CSV file is it says it's downloaded. Loaded. And let's go and open it up in Excel here. And there it is. That's the run.

Wow. And now that's totally you also like blew my mind with another thing, though, this idea that you can just have it start running Python for you. That seems like a an interesting avenue. Oh yeah. I mean, it's it the model is very capable of all that sort of thing.

So now you've got your ad spreadsheet pretty much ready to go. Um now you could uh have it generate more and more and more of these things and stuff like that. Um that's one example, and I think it's a very useful example of using these tools for sales for at least for uh demand generation. The second thing that you're talking about is uh using it for for managing copy itself. So one of the things you can do to to make that work really well is do what's called a custom GPT.

And we've talked about this in previous episodes, where you're going to build a a customized version of Chat GPT that focuses on focuses on a very specific set of tasks. One that I've built in the past is called a sales email copywriter. So I took a whole bunch of different uh examples of good copywriting and a whole bunch of guidelines about how to do good copywriting and put it into this sales GPT. So let's let's look at the back end here so we can see what's in there. So this thing helps tune up sales emails with conversion writing best practices.

You're a world class copywriting pro in the same league as copywriters like Ann Hanley, Joanna Weaver, and Andy Crestadina. You know all these things. Um here's a whole bunch of documents. Your your job is to produce good sales copy. So let's let's get this custom GPT rolling.

We want to take that same pitch and probably work with it some, right? Yeah, it'll be interesting to see how that slants it where it goes. First, let's establish who our audience is for doing some sales copywriting. After all, it makes sense to know the audience first, right? So we'll start a little conversation here and see what uh the machinery comes up with.

I'm going to provide you with three LinkedIn profiles of people who are our target audience. Give these profiles a read and come up with a single summary of who our audience is, what is important to them, and okay. You can stop that. You're just making things up. What is important to them and what things might appeal to them.

All right, so let's take we have let's go ahead to our documents here. Our three LinkedIn profiles. So this is you, me, and Katie. Obviously, you know, this would not be the exactness, but these are the profiles that we have clearly have permission to use. Um let's see uh what we come up with.

So what it's doing is what a process called retrieval augmented generation, where it knows the tool knows that we've given it data, and to use that data as the reference point because a lot of what it started pulling out here was just making things up. We didn't actually give it any information, so it was essentially hallucinating. Now we've given it three different PDFs, and I should point out that these PDFs contain a lot of information. So let me open up mine here while it's doing its thing. So this is you know, from my LinkedIn profile, it contains the big summary about me, my experiences, my interests, and stuff like that.

Uh, it's got you know, this this profile goes up for 21 pages. So there's there's quite a lot of information in there, but that's enough information, enough words that it should be able to come up with something. Here's let's look at yours. So this is this is your profile. Yours is uh two-page profile.

Um but there's still a decent amount of stuff like your your job titles and stuff like that in there as well all right so we have um after reviewing LinkedIn profiles the target audience for sales copyright can be summarized as follows professional background and expertise significant positions in their respective fields marketing and technology interest and goals interest in innovative marketing strategies levering technologies things like that appeals and motivations focus on driving measurable results increased revenue market growth or improved operational efficiency language should be professional concise and jargon appropriate for marketing tech savvy individuals so that's that's essentially a a much more behavioral buyer's profile than say you know people who are in the workforce five years a company's 50 million and up the big takeaway for uh for folks watching this is you want to do this exercise with your ideal customer profiles whoever your your best buyers are or your aspirational buyers the people you want to have buyer stuff this is the exercise to do because now we have this thing next what we're gonna do is we're gonna say great now I'm going to provide you a sales pitch evaluate the sales pitch against this buyer profile you've just generated from LinkedIn profiles analyze the sales pitch and make recommendations in bullet point format for ways in two categories. Two categories. One, in what ways does the sales pitch resonate with the buyer profile? Two, in what ways could the sales pitch be improved to resonate better with the buyer profile. So let's go ahead and provide it now.

Go back to my text document here and grab our sales pitch from earlier. Same exact pitch, so nothing new and different here. And let's see what it comes up with. Maybe you should move our live stream to not middle the day because chat GPT is the busiest at this time of day. Yeah.

If you Google for people searching for chat GPT login, basically it follows the workday. And it follows the workday from like Western Europe all the way pretty much to Asia. So there's like eight hours of the day when people are like not hammering on this this poor thing. Yeah, I was just gonna say, right? There's like 16 hours basically nonstop.

Exactly. Just as people are working on it. Um yeah, this is it is very unhappy right now. But what this spits out then, what should spit out is is those two lists of recommendations, which is here's here's what you did well, and here's the the places where you could have done better in your sales pitch. And then from there, if you wanted to, you could say, well, okay, well, help me rewrite the sales pitch to fix the problems that you've located.

It's like maximum drama here. Like right now, it is slammed. When I was when I was working early this morning around you know 6 30 a.m. Eastern time, it was just you know, boom, just throwing stuff out. This is like yeah, like you said, so with that wide of a time zone, like this is pretty much peak.

Oh wow, suddenly some server rebooted and came back online. That's likely there's another job on that particular instance, and it just finished. So, okay, we got here. What resonates with the buyer profile? Emphasis on cutting edge technology, focus on efficiency and time saving, hands-on learning and practical application, testimonials from relevant professionals, strategic and tactical knowledge.

So that those things did well in our pitch. Improve for better residents, more specific business outcomes, highlight data-driven insights, case studies of successful implementations, address industry challenges directly, professional and expert tone, customization options, emphasize competitive advantage. Um, the last one's kind of interesting. Let's dig into that one. Show me an example of some copy that would emphasize competitive advantage in this sales pitch.

Because that's not something that we spent a whole lot of time on, but it it is one of those things for people who are very, very concerned about competitors. You could see that being something that would make them go, oh yeah, I could I could see some value in this. So here's how example how you could emphasize competitive advantage in the sales pitch. And the rapidly evolving, I feel like this is a movie trailing in the rapidly evolving world of marketing, staying ahead just isn't an option. Of course, 10,000 years in the making.

Oh goodness. All right. Uh what sets you apart with our course, early adopter advantage, customize AI solutions for your unique brand. Actually, that's data-driven decisions outsmart the competition. Join us.

That's not bad. That is not bad at all. Yeah, that's interesting. So I had when it said competitive advantage, my first thought was talk about things that separate our course from other courses. But what they really meant was talk about how giving, you know, taking the course will give you a competitive advantage.

Right, which resonates well with the basically good sales training, right? Like what's in it for the buyer? They don't care about our course, they care about themselves. Yeah, exactly. It's how you know how are you gonna get bigger, stronger, faster with this course.

Now, see, this is real interesting. So now I like this. I like this that that pitch a lot. I think there's a very clear use case for that pitch. So what I would do is let's take this now from earlier.

Right, right? Throw it back in the ad generator, throw it back in the ad generator, and let's see what the ad generator comes up with out for the that competitive pitch. So you would it just to give you a sense of architecture, you'll have the custom GPT that has all the insights that you want to provide about your customer, your ideal customer, and your marketing pitches and the and the style of marketing and sales you want to do. And then you would then take that into other more tactical implementations, like write an email about this, write a uh you know, whatever about this. And so it would continue, you would continue to be able to make um very refined uh copies.

Let's take a look at how that's doing here. AI marketing revolution, AI-driven marketing edge, innovate with AI, transform your marketing with AI, custom AI solutions. Yeah, that's that's pretty decent, you know. And of course, it's going to spit out um the CSV file. So kind of what you were asking about earlier, John, when we started the show, you know, can I just get those 30 ad combinations?

Yeah, you can, but now we're saying not only can you get those 30 ad combinations, you can get it through different personas uh through different value points. So you could probably make before the end of the day, you could probably make a couple of hundred ad variations here. And as long as you have the budget to support it, uh, you know, training in on these things, you could generate an awful lot of ad copy and and different pitches on different topics. Yeah, and it's just great how it's kind of like it's not just swapping out a bunch of synonyms, you know, it's it's a fully different approach of like, okay, here's we're gonna pitch this value over here, and we're gonna pitch it in that voice, and we're gonna pitch a different value and in a different voice. You yeah, you can just get a whole lot more done than trying to grind that out by hand.

Let's see what it says for add address industry challenges directly. Now I'm actually legitimately curious to see how what it's what it thinks uh we should extend out in our marketing in our of the course. So one of the things I don't like about this particular version, this particular version is talking too much about us and not enough about the customer. Generating more stuff, the solution is the stuff we're gonna generate. So those are the direct challenge.

This is a long pitch. Well, yeah, it's starting to hallucinate a bit too there. It's kind of like, hey, you can also talk to everybody in the community about your problems. That's like uh exactly. We're not going that far.

So it's too self-centered. Rewrite this pitch to focus more on the customer. One of the things that you'll want to do is you'll want to have in your prompts a set of rules. Like what are the things that uh we don't want to do in our pitches? And so if you want to be truly, you know, customer-centric, audience-centric, you have to specify that in the rules.

Uh otherwise these tools will not know that that's what you mean because they're always going to do a mathematical average of what they know about a given topic, even with the data you provide. And if all their sales examples are, hey, we're awesome, look at our cool thing, and we're a great company, that's what it's going to spit up. All right, in your journey as a marketer, you face a rapidly evolving landscape. You'll transform these challenges into greatest opportunities. Stand feel like so.

This is much better. It's we're we're saying the word you an awful lot and much less of we, us, and I've practical hands-on skills, immediate action plans, ongoing support and resources. Yeah, so that's that's better. Okay, so your workflow is do your five Ps, do your user story to uh to narrow down what the purpose is, then start gathering up your data. So we do we gathered up LinkedIn profiles um to do the custom GPT.

We gathered up a bunch of examples of really good sales pitches. Um, we then did the basic example of building some ads and setting up an ad a Google Ads template here, and then we went ahead and and used an existing custom GPT. And if you want to see other custom GPTs uh and the process for building one soup to nuts, you can find that over on our YouTube channel. Uh, because those that's from previous episodes. Go to trustinsights.ai/slash YouTube and you can find those.

And then we have we're now creating this sort of round robin process of use the custom GPT to evaluate based on all this knowledge. And then use a uh the the tactical chat for specific channels, email, social ads, Google ads, and so on and so forth. What did we forget, John, that would make your life easy continue to be easier as as a person trying to sell good stuff. Yeah, you know, the going through the similar thing, having it do, okay, do a two-week email campaign dropping, you know, four emails. Um, and then the other thing is I would have sample emails for different markets, different verticals, and say, hey, just rewrite these, but for this course, like that would be uh an easy way to get those ugly first drafts done.

Oh, yeah. I mean, they may they may not be all that ugly, actually. These are the the drafts that it came up with here are pretty good. Yeah, it's definitely, you know, and the other thing is, you know, you can start getting to A B testing too. Like do that and then give me four variants of it, and then that'd be great.

You can go through all the variants and pick what you like, or just straight up test them right from there if they're good enough. But yeah, that's a another way to jump ahead of things and get more done in the same amount of time. Exactly. And even with if it with it being slow, we ended up with what? Uh about 30 different ads, Google ads, and three different email pitches.

So there's that that was a very productive half hour. Uh that certainly would take uh us a whole lot longer to do it by hand. Yeah, to get that, that's a day's work right there. You would want to crank that out in one day and then the next day go back and proof your copywriting to make sure it all works. So now you're just jumping right to day two from the start.

Exactly. So that's gonna do it for today's show on generative AI in sales. And these are just a couple of examples. Um, there's a lot more, because obviously the the job of sales is is you know gigantic. It is many, many different tasks, but these are two tasks which um, like John was saying, that are pretty big time sucks.

You'll spend a full day coming up with this kind of a uh pitch with the custom GPT. If you've got those customer profiles, you can have it even just do the pitch from scratch. So we had an existing pitch, but you could have it do the pitch from scratch and say, hey, I need to sell this thing. Here's what's for sale. Give me some ideas and just have a chat with it, hence the name chat GPT, um, to come up with a customer-centric, benefits-focused pitch that would hopefully, you know, if you give it the right profiles, will resonate with those people and help you understand, okay, this is what will actually work for this group of people.

And the more valid, relevant information you can provide, the better these tools will perform. So if you are curious about using this at a you know, across your marketing, across your uh the scale of what it is you're doing. Um, we have a new course out that it will be goes live in less in six days, uh, December 13th. Go to trustinsights.ai slash uh AI course. This is uh generative AI for marketers.

Uh, it is 499 if you use the the discount code EarlyBird300, all one word. Uh after December 13th, it goes to 799. So if you are interested in seeing a lot more of this stuff, plus explaining the race framework in a lot more detail and things, that is the place to go. So, any final parting words, John? No, jump on the course.

This is it. This is the way to self you know save yourself some time and get a lot more done. All right, we will see you all next time. Thanks for watching today. Be sure to subscribe to our show wherever you're watching it.

For more resources and to learn more. Check out the Trust Insights Podcast at TrustInsights.ai slash TI Podcast and our weekly email newsletter at TrustInsights.ai slash newsletter. Got questions about what you saw in today's episode? Join our free Analytics for Marketers Slack group at TrustInsights.ai slash analytics for marketers. See you next time.