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Benjamin Shapiro
The Martech Podcast is a proud member.
Jordan Crawford
Of the I Hear Everything Podcast Network.
Benjamin Shapiro
Looking to launch or scale your podcast, I Hear Everything delivers podcast production, growth and monetization solutions that transform your words into profit. Ready to give your brand a voice? Then visit iheareverything.com from advertising to software as a service to data across all of our programs and clients, we've seen a 55 to 65% open rate.
Jordan Crawford
Getting brands authentically integrated into content performs better than TV advertising.
Benjamin Shapiro
Typical life span of an article is about 24 to 36 hours. We're reaching out to the right person with the right message and a clear call to action. Then it's just a matter of timing. Welcome to the Martech Podcast, a member of the I Hear Everything Podcast Network. In this podcast, you'll hear the stories of world class marketers that use technology to drive business results and achieve career success. Here's the host of the Martech Podcast.
Jordan Crawford
Benjamin Shapiro.
Benjamin Shapiro
The go to market landscape is changing fast. Your SDR led cold outreach strategy? It's dated. Event marketing is costly and infrequent and paid social is eating organic growth. So how can you stay ahead when everything keeps changing? According to SEMrush's 89 B2B marketing statistics you need to know about, in 2024, 34% of B2B marketers struggle to keep up with new tech, including AI. So when the landscape and tooling is constantly changing, how can you best understand your customers pain points before your competitors do? I'm Benjamin Shapiro and joining me today is Jordan Crawford, the founder of Blueprint gtm, which helps companies target prospects the exact moment they have their problem. And today, Jordan is going to explain how you can transform your go to market with intelligence hiding in plain sight. Today's interview is brought to you by AdCritter. Small businesses are at the heart of our communities, but when it comes to advertising, they often get left behind. That's where AdCritter comes in. Are you a small business owner struggling to compete with big brand advertisings? Relax, you're not alone. Over 30,000 businesses just like yours have faced the same challenge. But I have good news. AdCritter makes professional advertising simple and accessible. No big budgets, no complicated contracts, just results. Their platform gives you all the tools to advertise like big brands across tv, billboards and the web without the hassle. So move away from ineffective DIY solutions, overpriced agency contracts, and advertising platforms that don't deliver results. Join thousands of growing businesses that are reaching their perfect customers with confidence using AdCritter's smart AI powered tools. To launch your first campaign in just minutes, go to adcritter.com that's adcritter.com Jordan, welcome back to the Martech podcast.
Jordan Crawford
Thanks so much for having me again.
Benjamin Shapiro
Ben, it's so exciting to have you back here. You were doing blueprint and now you're cannonball gtm. You're all things GTM in my opinion. Give me the lay of the land when it comes to GTM today.
Jordan Crawford
Well, I'm so grateful to be here and thanks for having me back once more. So I think that the best place to start is really we have this new amazing tool that is AI. And people are very familiar with ChatGPT and Claude and they're trying to adopt these AI solutions, but the problem is that we're fitting them into an old framework. So the brand new tools are coming to an old framework. And the way that I talk about this is what you're doing is you're putting a legless robot on a horse. You don't get any of the benefits of the robot and the horse still takes a shit. So let's talk about the old way. Right, first what you would do is you would identify accounts. You'd go to ZoomInfo, you'd go to Apollo, not on LinkedIn anymore. So maybe you would just go to Zoom Info, you found accounts. Then you would write Persona level messages like so people like Ben care about, blah, blah, blah. Then you'd go and find contacts. How do I get their email? How do I get their phone numbers? Then you'd say to your SDRs, like, here's what people like Ben like, can you personalize this to Ben? And then you'd scale with a tool like Outreach or Salesloft. Ben, is that familiar to you?
Benjamin Shapiro
Oh, yeah. I tried this last year. It was a miserable failure.
Jordan Crawford
Yeah. The challenge is that we have this amazing tool called AI that can just drastically change our results. But we aren't using the brand new framework to take advantage of AI, where we can get the 10x benefit without the sort of hallucinations, et cetera. So let's talk about where current products are slotting in so you can understand why they aren't working.
Benjamin Shapiro
I think there's an important part that you missed, though.
Jordan Crawford
I didn't miss anything. I got it all.
Benjamin Shapiro
Look, it's my show and I'll tell you what you missed.
Jordan Crawford
Okay, okay.
Benjamin Shapiro
Just stop too early. We're not done yet. You missed the end result. Yes, the framework is Find the accounts, segment them, give them to somebody, tell them to attack and then send a message is the last part. Everything was sent over Primarily email or LinkedIn and you're sending these pseudo personalized messages. And the delivery mechanism is a cold email that is not specifically targeted to what my world is like right now. It's targeted towards what my segments world is right now.
Jordan Crawford
That's a really interesting point. And actually let's describe things in two ways here. First let's talk about what non email channels were doing intent data. So it's like hey, the best version of quote unquote intent data is like Google searches. So if someone searches left sock now, San Francisco, right, It's like they want to left Sock now. Right. Great, that's amazing. Then you get a step away and you get to like Facebook and LinkedIn ads where it's like look, we're going to use amazing amount of machine learning to determine click rates. Don't worry about it. Just pay for the fancy ad and we'll determine who. So you as the marketer don't have to worry about it. And then the sort of most voodoo form of that is the tools like Six Sense or G2 where it's like we de anonymize people that are in the Salesforce tower. And don't worry, it's not the intern, it's the buyer, economic buyer that is for sure searching in your category and has this. And by the way, we're going to integrate with your CRM and we're going to stamp all the leads as like we gave you those leads. So this is like kind of the non email channels. And the problem is that all of that stuff is like really foggy. You can't control it. You can't control the targeting right now on the email side you can control the targeting. And the way in which people think about this in sort of this old way is like well we have tiered accounts. These are our best accounts. Well why are they best accounts spent? Well, because they have $100 million. So what we do is we look at wallet size and if your wallet is big enough and has enough money, we like that wallet. So once we're going to send that wallet to the SDR and say find a way to get into that wallet. And you know what the SDR says I like your brown wallet. It's my favorite color brown. I love that color wallet. I'm wondering if I could get inside of it. That's what the message looks like. Now the thinly veiled version of that message is Jordan, I saw you commented on Ben Shapiro's post. Boy, isn't Ben a great guy with a great voice? And isn't he great with the podcast that he does? Ben is great. My B2B SaaS software helps companies do blah blah blah blah. Like this is what it looks like. It's all of this. And ChatGPT is only going to make this worse because this model is broken. And the way that I talk about this is let's say you had purchased perfect information about me. Jordan, I know you Woke up at 9:54 and that you had an espresso. And you probably had too much espresso. I can tell because you're on this podcast saying deranged things. So you have perfect information about me.
Benjamin Shapiro
Are you sure it was espresso? Let's move along.
Jordan Crawford
Let's prevent people from having to edit more. So really the thing is that you can easily evaluate this, which is 100x improve some vector. So if you 100x improve the personalization vector, it has nothing with my desire to buy ramp or to buy rippling. The only reason I buy rippling is because I'm interested in messing with deal that doesn't actually help us.
Benjamin Shapiro
You wrote my favorite LinkedIn post I think of all time, which speaks specifically to this, which is, hey, I see you breathe air. I like to breathe air. Let's connect on LinkedIn so I can sell you da da da da da da da. Like that's the strategy that we've been applying. I have an observation about something that you like. Maybe it's personalized, maybe it's vague and obtuse. And hopefully depending on the level of personalization, I have how close that is to being true. That should indicate your probability of buying. And the reality that you're about to get to is that's not true. So tell me what actually works as opposed to this observational theory of communication?
Jordan Crawford
Sure. Well, I do want to linger for just a minute on the current world because it's really important to think about buying software in this old world because new technologies are bolting onto old frameworks. For example, the count selection. Well, in sort of B2B SaaS, the best version of this are signals. I don't know if you know in the past what people used to do. The best sort of signal was raising funding. So I'd say, Ben, I saw that you just raised $10 million. Now that you have $10 million, I would like some of that $10 million. Do you have some of that for Me. And weirdly, that worked for a while.
Benjamin Shapiro
It wasn't that, hey, you have money, I have money. It is, you have money, you're thinking about expansion, you haven't gone into this version of marketing, now can I have your money?
Jordan Crawford
The generous version of this is like as you grow, you're going to need to insert any tool at all related to growth, which is every tool. The thing is that that doesn't differentiate. So these signal based platforms, they're selling you the same thing as that. Think about any product that you know where more people use it and it gets worse. That's not the case. Uber, right? There's like one driver and one passenger. You're going to wait for about 46 hours for that driver to get to you. But if there's a thousand drivers and a thousand passengers, suddenly you're waiting minutes, then you could instantly have a driver. And so more users on the Uber network makes it better. But more people that are leveraging the same signals actually make them worse because more people are saying, well, when you raise and I'll raise and I'll sell this growth thing. And so it gets worse. So this is kind of the problem that we're struggling with on these tools that are trying to slot into the account side now there are tools that are on the contact side. These have been net beneficial. We call these waterfall providers now. So people like Full Enrich, it's a company that I advise, fantastic. They hit a bunch of different providers to find like this is the, they're selling truth. This is the best email, the best phone number. But the key problem of the day is not that we need more contacts. That's not the challenge. Now this is helpful in the new world, but in the old world having better contact data is not the problem. Let's talk about the personalization for just a minute. This is where the AISDR slots in. The AISDR is not saying I will write a better message for you. It's I know that you're eating broken glass and every time you take a bite of broken glass it costs you $10. I'm going to sell you that same bite of broken glass for a dollar per chew instead of $10 per chew. And you're like, oh my gosh, amazing. I can eat broken glass at a tenth the price. So this is what these AISDRs are selling you. They're saying, look, you're wasting money. Now I'm going to waste a lot less of money, but I'm still going to waste it for you.
Benjamin Shapiro
Ironically, the SDRs are priced, the virtual SDRs are priced essentially the same as a regular SDR, which I find hilarious because it doesn't solve the problem that they're actually getting towards. But I digress. Go on.
Jordan Crawford
Yeah, yeah, that's true. I mean, I think in that case what they're saying is we'll send 10 times the number of messages. They're saying that your SDRs are sending broken messages. And by the way, I do think that in this world they are writing better messages than your SDRs. So they're not over personalizing. What they're trying to say is three sentences. Basically, they just take the reading level that your SDR should have and they actually write to that reading level. So they're like, hey, actually send a message that is shorter.
Benjamin Shapiro
We're off the reservation. Tell me what's working right now.
Jordan Crawford
Okay, great. So let's talk about Jordan's way. This is the way that I think about the world. First, you need to identify your best segment. So a segment is really the really key piece here. And you know what? There's only one group of people in your organization that understand the segment. And ironically, those are your best SDRs. They're your best AES. For example, a company that I was chatting with, Overjet, they sell dental AI. Well, what does that mean? This is an FDA cleared device that can do a bunch of things, but one of the things it can do is detect periodontal disease. Turns out 67% of the time that is undiagnosed. So when we basically said get your best SDRs, what do you look for? Well, one of the things that the SDRS looked for was like age of the dentist. Okay, but how does that help? It's like, well, sometimes old people don't adopt new things and sometimes young people do adopt new things. I'm like, okay, but there are old people that adopt new things and there are young people that don't like to adopt new things. So that doesn't really help. But one of the things that they looked for was, is this in an area that is highly diabetic. It's like, oh, why? It's like, well, it turns out that periodontal disease is correlated highly with diabetes. Okay, wow. Really interesting, right? And who has that? Do you find that in zoom level? Can you find like percent of population of diabetes? No, but it turns out the cdc if check our timers, the CDC still around. As of when we started this recording.
Benjamin Shapiro
The CDC was around 2:58 March 20th. The CDC is still here.
Jordan Crawford
Yeah. So that was really interesting. Right, so we have a segment now, and that segment is who is under finding the most amount of periodontal disease. Okay, great. Now what's the data? So the next piece is segment, then we have the data. So in this case, the data is a list of cities from the CDC with the highest gross prevalence of diabetes. So it turns out that Kennedy, Texas, 25% of the people in Kennedy, Texas have diabetes. So one in four people that you meet, that person has diabetes.
Benjamin Shapiro
If I had to guess, I'd say Kennedy, Texas is like a one stoplight town with a whataburger on each side.
Jordan Crawford
Actually, probably four whataburgers, given the prevalence of. Look, you can't cross the street.
Benjamin Shapiro
And I'm not saying anything bad about whataburger, but go on.
Jordan Crawford
I love me some whataburger. Yeah. Okay, so now we have prevalence of diabetes. So we've got a segment and data. In that data, usually there is tension, and in this case that tension is high prevalence of diabetes. Which, by the way, the first thing we did is we looked at a lot of dentists in that area and it turns out they all talk about periodontal disease on their website. So it's like, aha, I can find that there is truth in this information. Okay, great. Segment plus data.
Benjamin Shapiro
Hang on. Segment plus data. I want to do my job here. As the podcast host, you're going down in order of progression. First you figure out what the best segment is. Then you're finding your own data signal that's going to allow you to identify it. Keep going.
Jordan Crawford
There's five steps here. We're on the first two. Now, data is usually two to five unique data points. So we have the periodontal disease. We also know that the prevalence of misdiagnosis is going to be higher because there are more people with diabetes. Right? And that means that there's a delta here, which is the number of cases that you find. Now without the dental AI and the number of cases you can find. That's money, Right? But more importantly than money, for these dentists, it's care value. Great, so we have those two things. Right? So we've got the segment data. Now the next piece is the message. And it turns out that one form of this message is just describing those two things. Ben, as you know, in Kennedy, Texas, diabetes is out of control here. And as you likely know, because your website talks about it, periodontal disease is highly correlated to diabetes. Now, given the population In Kennedy, Texas, five out of every 20 people that you see is likely to have periodontal disease. You're probably only identifying one out of every 20. That means that if you could identify every case of periodontal disease early, you can capture $42,568 in care value for your patients. You can with our FDA approved device. Do you want me to come over next week and show it to you?
Benjamin Shapiro
There's a lot to unpack there. You've taken your signal. You're benchmarking against the essentially national averages or what you understand about the area, but you're also identifying the value for the prospect. Right. You can identify four more people with periodontal disease, which is worth X, Y and Z to you. How do you know how much that's worth to them? That seems like an important part.
Jordan Crawford
The thing is they have some internal data, which is they know because they work with the insurance companies. They're submitting these claims so they know what identifying and fixing this is. I mean, they know how helpful it is their patients, which is most important. But also I can tell them what every new identification of periodontal disease will make for them in revenue from the insurance companies. So the key message that I lead with is about the care value because that's what the dentists care about. Right? They really care about their patients. If I said, you swashbuckler, you could make another $100,000. Now that'll work for you and me. We are swashbucklers. We will take the money. But dentists are like, no, I want to protect Casey. Casey is my patient. I care about her.
Benjamin Shapiro
I would sure hope so.
Jordan Crawford
Yeah, but the good dentist. So then you can actually provide that value to them. So once you have the message, this is the only channel, the only process where you can identify good fit leads at the person level. Well, why does that matter? Because with intent, data sources, with keywords, et cetera, Facebook, Google, they're like, don't worry about it. Who knows?
Benjamin Shapiro
I don't need to know I'm targeting Jordan Crawford. I need to know I'm targeting someone at GTM who might be a decision.
Jordan Crawford
Maker and who's going to click. And I'm selling you the click. I'm not selling you the person. But the problem with that is that the way in which you get to a message that resonates is you just throw a bunch of crap at Facebook. And Facebook's like, I'll take your money to test all the crap for you. I'll tell you which one clicks the best. And all the down funnel stuff, you have to Figure about. But the nice thing about my approach is that you can go from a level of person and go backwards to other channels. That means cold calling, that means email, that even means ads, because you can get people's unique personal information that you can upload to these tools to target them. Which means that I can send an ad just to those people, the actual dentist, that work at the actual practices in these actual locations where you can make commitments about the change.
Benjamin Shapiro
I gotta stop you because this is where you lost me the last time I went to see you speak in person and I was like, okay, you did this whole prompting thing where you did your market research, you figured out your segments in less than an hour, basically did an entire gtm. That's the GTM cannonball went through this entire process and you called this the PVP Permissionless Value prop. Did I get it right?
Jordan Crawford
Yeah. So we haven't yet talked about PvP. I can talk about that now if you'd like.
Benjamin Shapiro
So I thought the PVP was the message that you're sending, which is something that's so good that people would pay to receive it. Hey, I know I can identify 37 more people out of 100 that have periodontal disease. That's worth a million dollars to you. Can I tell you more?
Jordan Crawford
Right, that's the PVP that is not yet a PvP. So let's talk about the Permissionless value prop. This is another form that the message and the data plus the segment can take. So the PVP is called the Permissionless Value prop. And really one of the benefits of AI is that it can take large amounts of information and structure it for us. So to be able to write a PVP message, you must think about what do your prospects care about the most, what is deeply important to them. And then you must think, what is deeply important to them? What is related to my product and what is public data that I can put together that's useful? These three things must be true. So let me give you a example of this. And in this case, we're going to use private data, but I can give you a public data example too. So working with a company that sells to pool cleaners, right, they're a pool cleaner CRM, interestingly enough, they have aggregate data on what companies are charging for a pool cleaning, which is not public data. So they can send a message that says, ben, we work with thousands of pool professionals. In 95125, the optimal price to charge for a pool cleaning is $169. We have found that people charge between $80 and $325. And the best uptake, the best price to charge is $169 with chemicals. Do you want me to tell you how I know that's an example of a ppp? Now let me give you another example. So make this a little bit more concrete. Let's say you are a chief marketing officer and you have just started at a company, right? Or even a product marketer. What's like some of the most important thing for you to do when you start at this company?
Benjamin Shapiro
Fire everyone. Start using AI. Sorry, everybody. Everybody's losing their jobs. No, the first thing I would do is listen and understand what people are doing and then evaluate whether it's working or not.
Jordan Crawford
Classic answer, right? My guess is you probably want to understand something about the market too that you're in, right? Sure. Okay, so imagine this. You start, you're a week into the job, and I send you a message, Ben, from what I can tell, your top five competitors are blah, blah, blah, blah. I have parsed through 42,368 G2 reviews of all of your competitors, and I have found the top five things that people complain about, that they think great of your software and also that I can't find any mention of on your website. As you're thinking about your positioning, these are the things that you might want to consider that is taking public data. I am organizing it for you. I'm structuring it, and I'm giving you the insight. I'm actually telling you another version of this is I had a conversation with a company that does brand compliance, which is an awful sounding thing, but it's actually really helpful for alcohol companies. So it turns out that one of the things that you can't do is you can't put Santa with your beer. You get in trouble because you're associating that this is a thing for kids. You actually can get fined here. So imagine if I go to you as the chief legal officer and say, Ben, I've looked at all 15,000 of your ads across four countries that you're currently serving ads in. Did you know that these three ads have cartoon characters? And in the last four months, there has been $50 million in lawsuits settled for alcohol brands that put cartoon characters on their ads. I thought it would be useful for you to know about this so that you can remove it.
Benjamin Shapiro
I get the examples of the permissionless value prop. Is there a format or a system that marketers can use to think about creating their own?
Jordan Crawford
Yes, this is the go to market Cannibal. And I should finish the last piece of the argument, which is once you channelize the message, which is you can format it for ads. So segment, data, message, you channelize that, which is that you can use AI to basically reformat it for an ad, you can reformat it for an email, a phone call. Then the way in which you scale is you start over with a different segment. So you tackle this segment by segment, by segment by segment. That's the sort of argument here. Now, the go to market cannonball is our process for getting to the PVP as fast as possible. So we have 90 minutes to take a brand that we don't know from a hole in the ground to a PVP message. Now, generally we take vertical SaaS companies because they understand their ICP a lot better than horizontal SaaS companies. Horizontal SaaS companies have a really hard time. It's like, well, who do you sell to? It's like, not only everyone that has a wallet, anyone that has a credit card, a bank account, that breathes, that has hair, that has ever been to Jamaica. It's just a random hodgepodge.
Benjamin Shapiro
I'm in your target market. I went to Negril for spring break.
Jordan Crawford
So we take companies that have a really good opinion about their icp, and usually that's because they focus their product on one. Then we run the fine process. And the fine process is focus, investigate, narrate, and deploy. Four simple steps. This is really how to get the best out of AI. So the focus piece is about warming up the model and warming up the people using the model. And that's a mutual thing. You both have to be into it.
Benjamin Shapiro
I think they call that consent.
Jordan Crawford
So focus. What you're trying to do is you're saying, understand my ICP, understand my Persona, understand my competitors. Now, ChatGPT deep research can do this live for you. It'll take about 10 minutes, which is longer than you and I have ever worked in our lives combined. Ben. So you can see ChatGPT do all this great work. You can see the Persona, you can see the icp. You can have an understanding of competitors, you can figure out what are great data sources. So the model can start to get really, really good context in your customers. What are you saying? And what you're trying to do in that focus state is figure out, like, what is the really best segment. And the good thing about this is that it helps you place those ideas in your head and the model starts to get an understanding of what the.
Benjamin Shapiro
Hell it's doing when I went through your case study, your Cannonball GTM. You're sitting there talking through deep research to ChatGPT and evaluating what it's returning back and asking for. What's the segment? How should I evaluate it? Which is the best segment? How big is the opportunity? Where do I find people? What are the data sources? And you went through and basically had a conversation with the AI and did all the segmentation work that most marketers would have done in six months. The process is amazing and everybody should go and watch your online content to be able to see it. First off, where do people see you're doing? Lives.
Jordan Crawford
Lives. Yeah. Fridays every 9am Pacific cannonballgtm.com yeah.
Benjamin Shapiro
Not a sales pitch. Everybody go on Friday and watch Jordan go through the process. Just seeing how he writes his prompts is insightful. And he's not writing them. He's actually just having a conversation with the GPT. It's really great. You go through and you get this sort of structure of your segments and the machine is doing the work for you. Then you start writing your permissionless value prop. Keep going.
Jordan Crawford
So once you and the model are together warmed up, then you do the investigate. Now the investigate stage is really about identifying the segment plus the data. So you're really trying to figure out where you can combine these two things. Now, the nice thing about that, and this is where the PVP is formed, the permissionless value prop. And what you're trying to do is you're going to ask the model a question like this. And I'm going to. For all of you folks that are taking the transcript here, I'm going to dehumanize you for a minute, Ben, and just like pretend like I'm talking to.
Benjamin Shapiro
It's okay. It might not even be a real person on the other end.
Jordan Crawford
Okay, so this is like a message, I would say I'm trying to identify the best segments. For me, generally what I mean by a segment is where two to five data sources can come together, where I can send a message to someone that they would pay to receive. Example ideas behind this message are where I'm trying to basically give some data to this person that is independently useful from my product or service. Now, a couple things must be true about this. The data sources must be public. The data must be related to the product that I solve, and it must make a promise in the message itself. And an example of a message like this is where I can take information about regulators that are monitoring railroads and reporting on fines and say to a railroad operator, I Don't know if you know this, but there is a railroad very much similar to you. And it turns out that regulars right now are focused on Tuscaloosa, Alabama. But historical data shows that they're going to be in your town next. And these are the three things that they're likely to find. You might want to address these before you get a $40,000 fine. Now create that for me in my industry and abstract this idea away from this particular instance. So that would be like a prompt that I would provide in this case. I would provide it to Claude.
Benjamin Shapiro
Right. And so it gives you a permissionless value prop. Now, one thing I noticed, there wasn't really a call to action there. Hey, here's the information, here's what might happen. This is going to be useful to you. Hot tip. I shine the bat spotlight on the moon and all of a sudden everybody sees, oh, there's this problem, right? I've unearthed it for you.
Jordan Crawford
Or value. It's not a problem necessarily. It's just like straight value.
Benjamin Shapiro
It's their problem and the solution. So here's the value from the email. Want to set up a demo? Want to call? Want to talk some type? Should we get drinks? How do you actually turn this into a conversation and a prospect?
Jordan Crawford
This is where the art comes in, apart from the science, because really the PvP, like many other things, could be weaponized. And I was chatting with a founder that has tried to weaponize this. That what they did is this company I was talking about that does this brand stuff. They pulled all the data from Facebook ads library and they tried to identify what you were doing that would like against Amada's best practices. Very clever idea to say, hey, Ben, you're not including enough audio in your messages or you're not doing this right. But the problem is that it wasn't related to their brand promise at all. So let's say in the case they're like, this is really cool. How are you going to help me add more images to my. And like, oh, we don't do that. It's like, well, why did you even contact me? So what I said to them is, I said, it's a different thing when you go say, hey, Corona. Here are the 10 ads across four geographies that are included. Pictures of cartoons. You want to remove these immediately because they're likely to get you X number of fines. And by the way, I've already found the four people in those four regions that I think might be responsible for those ads. If you don't know who they are internally. Because you're a big company now. The sort of ask here is, do you want me to do this for you on an ongoing basis? So what I've done is I've reoriented the product to the public web. I've turned the product to be permissionless. I've said, you don't have to log in, you don't have to connect your data sources. You don't have to do any of that stuff. I've already done it for you. I've connected public data, I've structured it, I've delivered that public data to you. The thing is, you don't have to like, hack the ask, hey, what are you doing on Tuesday at 5pm? Do you have 15 minutes? Do you have 12 minutes? Do you have 34 seconds? You don't have to do any of that stuff because if you have done the PVP right, it's like, oh, I will get on that immediately. Or even I could say, these are the top four. I found 26. Do you want me to show you how? Do you want the other 26? I'm only selling a reply. I'm not selling my product. I'm not even selling a meeting. I'm just saying, what is a message that is independently useful that I can deliver? And if you got it right, people.
Benjamin Shapiro
Will respond, sure, you're delivering value upfront and now you have someone's attention. And then there's the question of, all right, I'm going to give you four of the 26 leads and everybody's business model is going to be a little different. Podcast production. If I'm using this for my business, it's like, hey, I have identified five problems with the podcast you're having and here's the growth solutions for it. I also have 27 more tips for you.
Jordan Crawford
No, no, no. This is the hardest thing that people get wrong about the PvP is that they think that it is about things that you can then action on. No, no, no, no. It is actually delivered value. So think about this. Your case is a little harder. But if you think about the rail case, for example, the email is independently valuable. Now, a lot of people get this wrong because in their mind they're holding this thing. It's like, hey, here are things that you're doing wrong and here are tip. That still means that I got to take action to go do that. You're still selling yourself. It's a different thing if you said, I have found the 52 clips that your CEO has made from around the Podcast he made from around red that haven't made it to your website. And I've already written content in your style. Here are the links. We do this. If that was like a thing that you did, so it's already done for you. There's unique value in it already that is like ready to go. Now, that's not a perfect PvP, because they still have to go do something. Ideally, the information in it of itself is actionable. It is useful in the marketing example. I can actually tell you the things that you should change in your marketing and why and anchor that against data.
Benjamin Shapiro
So that's like a PVP I still am fuzzy on. Okay, great. I've delivered all this value to you. Here's all the things that are wrong with this podcast and here's the solution for it.
Jordan Crawford
Well, the podcast thing, forget the podcast.
Benjamin Shapiro
The railroad thing, here's why you're in Mobile, Alabama and you might get fined.
Jordan Crawford
So basically the next step is that software is going to monitor for compliance issues and tell you what to fix. It's directly related to that. So instead of me having to email you, so the brand guideline, for example, in this product's example, they're actually monitoring upstream at the Photoshop level. So when the person at Photoshop is like, let's add a Santa and a bunny and like have them all drinking together in a fire and that person hits submit, it's like, hey, just so you know, there is a $40 million fine that we're going to get if you keep going here. Like, start over. That's what the product does. Hey, legal officer, you don't want to have to wait until you publish ads that you don't even know about. It's like you want to do that stuff upstream.
Benjamin Shapiro
The last question I have for you, the PvP, I understand this, the permissionless value prop. You're going to give information that is uniquely valuable to a prospect upfront with the hope that they'll want you to continue to have you monitor and manage the value that you're creating. Who's it for and who doesn't it work for?
Jordan Crawford
Generally, the PvP is really easier to do where there's public industry data. So compliance, think the fda, think the cdc, where you can find some public leakage of the data. It's really harder to do for, like, industries that are really unregulated. It's harder to do horizontal SaaS is really hard because to do the PVP well, you have to pick a super niche segment. You really have to go super deep because if you imagine a segment and you say, well, my product can help B2B SaaS, marketers and also product managers at trucking companies, those two people care about way different things. So it really works well for vertical SaaS companies, companies that are in regulated industries. It works well where they have some forced interaction with the government, where there are consequences. It really works well when you know your customers so well and you can have an idea about like where can I pull together data from the public web that will work great for them.
Benjamin Shapiro
Let me distill this down.
Jordan Crawford
If you must.
Benjamin Shapiro
This is my job. Let me roll for a second because we covered a lot of ground here. And while the PVP might be a perfect utilization of your go to market For a vertical SaaS company, the concept of using the deep research from ChatGPT to understand your market, to analyze and pick out a segment, to find relevant data sources, to think of a way to deliver value upfront. Maybe it's not getting all the way down into your PVP where you're delivering value upfront and then asking to replicate that value through delivery and that's how you're monetizing, but the process of getting to that is something that's useful for any marketer. You can understand your segment easier than ever before. You can just talk to your computer and it will do the analysis for you. You can find the data sources, you can put them together, you can analyze them and you can turn those into messages yourself faster than ever before.
Jordan Crawford
Yeah, and that's the PMJ Poor Man's Jordan, which is Deep research. So Poor Man's Jordan is you can ask Deep Research to do this for you. So come watch the cannonball. You'll get the find methodology, focus, investigate, narrate, deploy. The Narrate will tell you how to talk and the deploys, like how you use tools like clay, et cetera to deploy this. But if you follow the methodology, you can use the PMJ Poor Man's Jordan chatgpt Click Deep Research after you do this, follow the methodology and you can get there.
Benjamin Shapiro
And a Special thanks to AdCritter for sponsoring this podcast. AdCritter helps small businesses create professional advertising campaigns across multiple channels with transparent pricing and no hidden fees. Upgrade your advertising strategy with an easy to use platform that won't break the bank. And join 30,000 businesses that are using AdCritter to get seen by their ideal customers. To launch your first campaign in just minutes, go to adcritter.com that's ad critter.com always with the acronyms Jordan. All right, that wraps up this episode of the Martech Podcast. Thanks to Jordan Crawford, the founder of Blueprint, for joining us. If you'd like to contact Jordan, you could find a link to his LinkedIn profile in our show notes, or you can visit his company's website. It's blueprintgtm.com he's also doing LinkedIn lives for the Cannonball GTM every Friday. They're totally fascinating. You should absolutely check them out. And if you haven't subscribed yet and you want a daily stream of marketing and technology knowledge in your podcast feed, hit the subscribe button in your podcast app or on YouTube and we'll be back in your feed every week. All right, that's it for today, but until next time, my advice is to just focus on keeping your customers happy.
Jordan Crawford
Foreign.
Benjamin Shapiro
Thanks for listening to the Martech Podcast and I hear everything. Production Looking to launch or scale a podcast like this one for your brand? Then visit iheareverything.com.
MarTech Podcast ™ // Marketing + Technology = Business Growth Episode: Cannonball GTM Crash Course Release Date: April 7, 2025
Hosts: Benjamin Shapiro & Jordan Crawford
In this episode of the MarTech Podcast ™, host Benjamin Shapiro engages in a deep dive with Jordan Crawford, the founder of Blueprint GTM, to explore transformative strategies in Go-To-Market (GTM) processes powered by artificial intelligence (AI). Skipping past the introductory segments and advertisements, the conversation zeroes in on the evolving landscape of marketing technology and innovative approaches to business growth.
Benjamin opens the discussion by highlighting the rapid changes in the GTM landscape. Traditional methods like SDR-led cold outreach, event marketing, and paid social strategies are becoming less effective. He cites a statistic from SEMrush: “In 2024, 34% of B2B marketers struggle to keep up with new tech, including AI” (00:50). This sets the stage for Jordan to introduce AI as a game-changer in understanding and addressing customer pain points more efficiently than ever before.
Jordan critiques conventional GTM frameworks, likening them to “putting a legless robot on a horse” (04:05). He explains that while AI tools like ChatGPT and Claude are powerful, they are often misapplied within outdated frameworks, leading to ineffective outcomes. For example, the typical process involves identifying accounts via platforms like ZoomInfo or Apollo, crafting persona-level messages, and relying on SDRs to personalize and scale outreach through tools like Outreach or Salesloft. However, Benjamin shares his experience, stating, “I tried this last year. It was a miserable failure” (04:21), underscoring the inefficacy of traditional methods in the current tech-driven environment.
The conversation shifts to how AI can revolutionize GTM strategies. Jordan emphasizes the importance of using AI within a new framework to maximize its potential without falling prey to issues like hallucinations. He explains that current non-email channels like intent data and platforms such as SixSense or G2 are often “foggy” and lack precise targeting (05:25). In contrast, an AI-driven approach allows for more accurate and actionable targeting by focusing on the individual level rather than broad segments.
A central concept introduced by Jordan is the Permissionless Value Proposition (PvP). This approach involves delivering uniquely valuable information to prospects upfront without requiring prior permission or existing relationships. For instance, Jordan describes how his team helped Overjet, a dental AI company, identify high-prevalence areas for periodontal disease using CDC data. He illustrates this with a message framework:
“Ben, as you know, in Kennedy, Texas, diabetes is out of control here. And as you likely know, because your website talks about it, periodontal disease is highly correlated to diabetes... with our FDA approved device. Do you want me to come over next week and show it to you?” (15:47).
This method focuses on providing actionable insights that resonate deeply with the prospect’s specific needs, thereby increasing the likelihood of engagement.
Jordan outlines the Cannonball GTM methodology, designed to swiftly develop a PvP message using AI. The process includes four key steps:
Benjamin praises this structured approach, noting how it streamlines what traditionally takes months into a more manageable and efficient process:
“You went through and basically had a conversation with the AI and did all the segmentation work that most marketers would have done in six months. The process is amazing...” (24:44).
Jordan provides concrete examples to illustrate the effectiveness of the PvP approach. One scenario involves a company selling dental AI solutions, where they used CDC data to target dentists in areas with high diabetes prevalence. By doing so, they not only identified potential clients but also demonstrated the direct value of their product in improving patient care and generating additional revenue.
Another example involves compliance for alcohol brands. Jordan describes how a company used public data to warn a legal officer about potential fines due to non-compliant advertising practices. This proactive approach not only provided immediate value but also positioned the company as a valuable partner in maintaining regulatory compliance.
Jordan explains that the PvP strategy is most effective in industries with ample public data and regulatory oversight, such as healthcare and compliance sectors. It is less effective in unregulated or highly diversified markets like horizontal SaaS, where crafting a universally appealing PvP becomes challenging due to the varied needs of a broad audience.
“It works well for vertical SaaS companies, companies that are in regulated industries... but it really works well when you know your customers so well and you can have an idea about where can I pull together data from the public web that will work great for them.” (32:01).
Benjamin concludes by distilling the conversation into actionable insights, emphasizing the universal applicability of the Cannonball GTM process beyond just crafting a PvP:
“The process of getting to that is something that's useful for any marketer. You can understand your segment easier than ever before...You can turn those into messages yourself faster than ever before.” (33:00).
Jordan reiterates the value of deep research and structured methodologies in leveraging AI for effective GTM strategies, encouraging marketers to adopt these innovative practices to stay ahead in the competitive landscape.
This episode of the MarTech Podcast ™ offers invaluable insights into modernizing GTM strategies through AI-driven methodologies. By moving away from outdated frameworks and embracing structured processes like Cannonball GTM and PvP, marketers can achieve more precise targeting, deliver substantial value upfront, and ultimately drive business growth in an increasingly technology-driven market.