Best of LinkedIn: Go-to-Market CW 38/ 39

00:00:00:

00:00:20: So we are at a point where it takes well over four hundred cold emails just to get Just think about that for a second.

00:00:30: It's crazy,

00:00:31: right?

00:00:31: The traditional go-to market playbook isn't just dying I mean it's practically dead.

00:00:36: Yeah totally dead.

00:00:37: and That's exactly why today we're doing a deep dive into the absolute talk GTM trends across LinkedIn.

00:00:42: Right now

00:00:43: Exactly our core mission here is really to figure out what is actually working For strategic B to be marketing professionals.

00:00:50: You know as outbound gets harder costs keep rising in.

00:00:54: well AI just reshapes the entire landscape

00:00:56: Right.

00:00:57: And let's start with the fundamental economics, because of numbers we are seeing right now they're basically forcing a massive reality check across the industry.

00:01:05: Oh absolutely!

00:01:06: The numbers are

00:01:07: brutal They ARE.

00:01:08: I mean David Spitz recently shared this data on GTM efficiency across public SaaS companies and uh...the median cost sales marketing expense to acquire just one dollar net new ARR annual recurring revenue, it has climbed to two dollars and thirty-four cents.

00:01:25: Two thirty four?

00:01:26: Yeah!

00:01:26: Wow yeah two thirty four wow And that is up from just over two dollars a year ago.

00:01:32: It's just leaking efficiency everywhere.

00:01:34: Well...and when you unpack with at two dollars than thirty four cents actually represents mechanically its genuinely alarming

00:01:41: Right because of the payback period.

00:01:42: Exactly In the software world, if it costs you two dollars and thirty-four cents to acquire one single dollar of new revenue your payback period stretches out past two years.

00:01:52: Which is an eternity for a startup!

00:01:55: It is factoring like average churn rates And many these companies are just mathematically bleeding out.

00:02:01: I mean The sheer capital required Just to maintain Your current market position Is becoming completely unsustainable.

00:02:08: Yeah, I want to look at where that efficiency is actually leaking because Alex Vaca shared some raw outreach metrics.

00:02:14: That explained this perfectly i think.

00:02:16: oh the listblast metrics.

00:02:17: yeah exactly.

00:02:18: so go back to twenty-twenty three right?

00:02:21: The era of the list blast.

00:02:23: vaca noted it took about a hundred twenty cold emails To get a single positive reply back then

00:02:29: which already felt high at the time.

00:02:30: Right It did but fast forwarded in twenty twenty five and that number jumped over four hundred and thirty.

00:02:37: That's just wild.

00:02:38: It is, and so he argues that outbound looking toward twenty-twenty six.

00:02:43: it basically has to be about relevance signals deliverability And judgment.

00:02:48: but wait let me play a devil's advocate

00:02:50: sure.

00:02:50: go for

00:02:51: if sending an email Is virtually free right?

00:02:53: Why does sending four hundred thirty instead of one hundred twenty drive up the acquisition cost so dramatically like its Just digital sending.

00:03:01: Well sending an e-mail is only free If you completely ignore The infrastructure required.

00:03:06: make it land in a primary inbox these days.

00:03:09: Oh right, the deliverability side?

00:03:11: Exactly!

00:03:12: To send to that volume today without hitting spam traps you are paying for multiple secondary domains.

00:03:19: You're paying for sophisticated inbox warming tools

00:03:22: And data too.

00:03:23: Right massive data enrichment platforms.

00:03:25: just pull contacts Plus.

00:03:28: you have labor required.

00:03:29: manage that sprawling tech stack.

00:03:32: I mean your data costs quadruple, you're tech debt skyrockets and Your team basically spends all their time managing deliverability rather than actually selling.

00:03:41: And then the pipeline just gets so clogged with noise that The actual systems start breaking down.

00:03:45: like Alex Lindahl ran a benchmark using A data enrichment tool called clay That honestly blew my mind.

00:03:52: What did they find?

00:03:53: Well They set up AI agents to actively go To the websites of over six thousand three hundred BDB companies and literally fill out Their demo request forms.

00:04:01: wait actually submitting the forms?

00:04:03: Yes, submitting the demo forms.

00:04:04: These are like...the highest intent actions possible.

00:04:07: right and a staggering sixty-eight percent of those companies never responded.

00:04:12: Sixty eight percent yep from direct demo requests

00:04:16: Yep!

00:04:16: And only four percent actually picked up the phone.

00:04:19: I mean how is it mechanically possible that seven out of ten companies just ignore a direct knock on their door.

00:04:25: Honestly its'a direct symptom with that clogged pipeline we were talking about.

00:04:29: You think it's lost in noise

00:04:30: Hundred percent.

00:04:32: When you are blasting the market, your inbound systems get absolutely flooded with low quality auto replies spam

00:04:39: just

00:04:40: totally unqualified leads.

00:04:41: So they have to build filters

00:04:43: right?

00:04:43: To handle that volume marketing ops has two buildings highly complex lead scoring models and routing workflows.

00:04:51: And what happens is a legitimate prospect fills out a demo form but maybe I don't know.

00:04:56: Maybe they use a Gmail address

00:04:58: Or they don't list their company size or whatever.

00:05:00: Exactly!

00:05:01: The automated lead routing system scores them too low, filters them out and the sales rep never even sees the notification... ...the systems that were designed to manage the noise are literally now filtering-out actual buyers.

00:05:14: Wow So.. the bucket is leaking violently basically?

00:05:19: Violently.

00:05:20: TK Cotter actually put this into perspective.

00:05:23: He pointed out that standard list blasting yields roughly a one percent response.

00:05:27: right now you essentially have to email a hundred thousand people just to get a few meetings.

00:05:33: Which burns your brand of the ground in process?

00:05:36: Totally!

00:05:37: So he's proposing what he calls a trifecta strategy, to replace The Blast Basically run thought leader ads.

00:05:44: You host paid workshops To filter buyers And only then do you warm outbound.

00:05:49: Interesting.

00:05:50: But let me push back on that a bit.

00:05:52: Charging a hundred bucks for webinar or a workshop.

00:05:55: Most startups I know would be utterly terrified to put a paywall in front of a prospect, they want less friction not more!

00:06:02: I get that fear but it sounds counter-intuitive...that friction is actually the entire point.

00:06:08: How so?

00:06:09: A Paywall's basically a psychological filter.

00:06:12: Think about it.

00:06:13: When you give everything away for free You just attract tire kickers People who happily consume your content But have absolutely no budget and authority To buy.

00:06:21: Right They're browsing.

00:06:24: But when you charge even a nominal fee, You instantly filter out anyone who doesn't have a corporate credit card or A pain acute enough to actually spend money on the solution.

00:06:34: It completely changes the dynamic.

00:06:36: it moves The relationship from you chasing them To them investing in a specific outcome

00:06:41: exactly.

00:06:42: but the industry behavior we're seeing Completely ignores this.

00:06:45: I mean if the bucket is leaking This badly why are We still pouring so much water into?

00:06:50: Because that's what people know how to do.

00:06:52: yeah The blast method is failing, the knee-jerk reaction for most teams isn't to build friction or host paid workshops.

00:07:00: It's just use AI to blast even faster!

00:07:03: it honestly feels like we're turning up volume on a radio plank static hoping that magically turns into music.

00:07:08: That's great way of putting it and leads directly in this massive operational trap because automating broken foundation scales noise exponentially

00:07:18: Right doesn't fix anything.

00:07:20: It doesn't fix the underlying lack of resonance.

00:07:23: If your core messaging doesn't convert a human when you send it manually, feeding it to a large language model and sending at ten thousand times is just going generate what we're now calling AI slop.

00:07:34: AI slop I love that term.

00:07:36: in Tegan Ewan actually ran an experiment proving exactly this.

00:07:40: UN established the strict rule for GTM teams do everything manually first

00:07:45: which sounds painful but necessary

00:07:47: Very necessary.

00:07:49: They sat down and sent two hundred emails entirely by hand, but get this?

00:07:52: they purposefully included typos.

00:07:55: Wait on purpose?

00:07:56: Yeah On purpose!

00:07:58: They deeply stalked the prospects to reference highly specific obscure things And they cracked risky jokes.

00:08:04: The whole idea is you have to validate what converts a human before You even think about automating.

00:08:09: That makes so much sense when you think About the psychology of modern buyers.

00:08:13: inbox.

00:08:14: How do mean?

00:08:15: Well,

00:08:16: the inbox is flooded with perfectly formatted grammatically flawless completely hollow AI-generated emails.

00:08:23: Perfection has actually become a new marker of spam!

00:08:26: Oh that's fascinating.

00:08:27: so a typo proves you're real?

00:08:30: Exactly... A lowercase letter or slight typo Or just an unpredictable joke?

00:08:35: It's a pattern interrupt it signals humanity.

00:08:38: You and its essentially proving to have to optimize for genuine human connection not Optimize for the variables that are easiest to feed into a sequencer.

00:08:47: Yeah, and it's not just messaging that needs manual validation either It is entire structural motion.

00:08:53: Blake J Harbour warned early stage teams about this.

00:08:56: Oh!

00:08:56: The SDR hiring trap?

00:08:58: Yes he sees founders at around four hundred K in ARR making huge mistake of hiring junior sales development reps before they actually validate their messaging or channels.

00:09:08: Just classic failure resource allocation.

00:09:11: you cannot outsource strategic positioning to a junior employee.

00:09:15: Right, Harbor says handing a Junior rep a blank slate and an email sequencer just burns cash in scales noise.

00:09:21: I mean they aren't going to build your GTM motion from scratch.

00:09:24: No of course not.

00:09:26: By the way if you want keep catching these playbooks before your competitors.

00:09:28: do make sure you subscribe To The Steep Dive You know.

00:09:31: so don't miss future editions.

00:09:32: We cover A LOT Of These Traps.

00:09:34: Yeah

00:09:35: Highly recommend hitting that Subscribe button.

00:09:38: And speaking of traps, Michael McEwen took this whole concept a step further regarding AI.

00:09:44: What did he say?

00:09:45: He pointed out that AI agents basically just amplify whatever you point them at.

00:09:50: Let's look at the actual mechanics to that.

00:09:53: if your ideal customer profile your ICP is fuzzy what actually happens to your domain when you point AI at

00:09:59: it?

00:10:00: It's just cascading failure.

00:10:02: right Like the AI generates highly personalized but completely irrelevant outreach to wrong companies.

00:10:08: Exactly, and what do those recipients do?

00:10:11: They flagged emails as spam.

00:10:13: your brown sprites spike email service providers like Google and Microsoft.

00:10:17: they detect this behavior in just silently black hole.

00:10:20: you're entire domain.

00:10:22: oh wow.

00:10:23: so You just disappear

00:10:24: pretty much

00:10:25: suddenly.

00:10:25: even your e-mails to active clients start landing on the spam folder.

00:10:29: Your acquisition cost accelerates way past that two dollars and thirty-four cent mark because you are actively paying money to annoy your total addressable market.

00:10:38: That is rough!

00:10:41: Ryan Hall summarized this perfectly, I think he said automating unproven outreach at a small volume isn't mistake but at scale it becomes massive brand problem.

00:10:51: hundred

00:10:51: percent.

00:10:52: It's basically like putting rocket engine on skateboard.

00:10:55: I mean, you have an incredible amount of thrust.

00:10:56: But if you don't have the steering your messaging and your ICP completely figured out The only thing guaranteed is a spectacular crash

00:11:04: which forces a major pivot in how we operate.

00:11:07: because If we agree that mass blasting is destructive.

00:11:10: And we agree You have to validate the messaging manually first.

00:11:13: right then

00:11:14: the logical next step Is figuring out exactly when to steer That rocket?

00:11:24: And right now the market has fallen into a huge trap when it comes to those signals.

00:11:28: Like we've gone from tracking virtually nothing, to tracking absolutely everything and most of its seems kind-of useless.

00:11:35: It's

00:11:35: just noise!

00:11:36: Exactly Jack Porter pointed out that GTM has new problem too many signals We can track website visits FDA filings podcast mentions you name it?

00:11:46: We have one hundred random reasons to email.

00:11:48: someone know.

00:11:49: This creates this dangerous illusion.

00:11:51: VIN site marketers are completely confusing environmental noise with an actual buying trigger.

00:11:58: So what makes a real signal then?

00:11:59: Well, a signals only valuable if it dictates a tangible change in priority or budget for the buyer like A podcast mentioned doesn't mean they suddenly have fifty grand to spend on software

00:12:10: Right which brings up the quality of intent data entirely.

00:12:13: Ronit Yowalka criticized how The industry handles purchased intense signals.

00:12:17: he specifically called out bombora co-op data.

00:12:21: Oh yeah, let's break down how that actually works mechanically.

00:12:24: Okay so Bumbora tracks IP addresses reading B to B content across this huge publisher network right?

00:12:30: So you basically buy a list that says A Target Company was researching sales coaching software six months ago.

00:12:36: Right but the mechanical flaw there is latency and ubiquity

00:12:40: Meaning everyone has the same list.

00:12:42: Exactly If your buying pre-packaged intent lists are literally all of your competitors The moment that alert triggers, the prospects inbox is flooded by five different vendors.

00:12:53: So it's not really a signal advantage at all?

00:12:56: No!

00:12:57: You aren't doing signal-based GTM... you are just participating in slightly more targeted mass blast using totally stale shared data…the value of this signal decays so rapidly.

00:13:10: So Yawalka argues you have to build proprietary signals tied directly to your actual target accounts.

00:13:16: And Sarah McNamara and Kyle Poyar, they highlighted one specific proprietary signal that is incredibly valuable...

00:13:23: Which one?

00:13:24: Passed champions changing jobs like a former buyer or power user who moves into new company.

00:13:30: They found these folks are five times more likely to respond to outreach.

00:13:34: That's a massive multiplier.

00:13:37: But mechanically, how do you even track that without a rep spending their entire day just scrolling through LinkedIn?

00:13:43: Well, you build an automated workflow.

00:13:45: You use and enrichment tool like clay to continuously monitor your closed one CRM contacts.

00:13:50: Okay

00:13:51: Yeah.

00:13:51: So the system runs in API check against there current job titles on daily or weekly basis And second it detects change between the CRM record and public data.

00:14:00: It pushes alert directly to designated sales rep in Slack Complete with all new company details.

00:14:06: That's brilliant.

00:14:08: Let's pause on the psychology of that though, why does a job change bypassed normal friction of cold email?

00:14:15: Because new executive at company is under immediate pressure to prove their value right?

00:14:20: Oh absolutely!

00:14:21: They need quick wins.

00:14:22: Exactly they want guarantee those early wins.

00:14:25: so are going bring in tools already know and trust.

00:14:28: by acting specific proprietary signal moment it happens you're bypassing entire educational phase.

00:14:36: See, that is a real signal.

00:14:38: But I do have to question the industry's obsession with some of these other intense signals we talked about like are we mistaking activity for intent?

00:14:47: Yeah totally.

00:14:48: just because someone visited your pricing page doesn't mean they actually want to demo.

00:14:51: i mean They might be a competitor trying to reverse engineer Your pricing model

00:14:56: or Just a college student doing A research project.

00:14:58: right

00:14:59: you Are hitting on The exact reason why raw data isn't enough anymore.

00:15:02: a website visit Is just a data point.

00:15:04: it's not a narrative

00:15:06: which is why highly sophisticated logic has to sit between the signal and outreach now.

00:15:11: You really have to correlate multiple data points.

00:15:13: Like triangulating them?

00:15:15: Exactly!

00:15:16: A pricing page visit combined with a recent Series B funding announcement, combined with newly hired VP of Engineering.

00:15:23: Now that triangulation creates verifiable buying

00:15:26: narrative.

00:15:27: But triangulating those complex proprietary signals and then automating those validated manual plays that's not something a traditional sales rep can just do in their spare time Which brings us to a completely new paradigm in the market AI native GTM engineering.

00:15:42: Yes,

00:15:42: this is where the economics The manual validation And the proprietary signals finally converge into a real systemic architecture.

00:15:50: Building these correlated logic gates requires a completely New technical skill set.

00:15:54: Enter the GTM engineer.

00:15:56: Fibos Arresti broke down what these engineers are actually building right now.

00:16:00: he specifically highlighted six essential workflows using cloud code.

00:16:04: What kind of workflows?

00:16:06: Well, they are automating total addressable market mapping deeply personalizing outbound copy based on those complex signals We just talked about and running full campaign analysis And what genuinely blew my mind is that they're doing all this straight from the terminal without ever logging into a traditional user interface.

00:16:23: Let's explain why operating from the terminal is such a massive, massive shift.

00:16:28: Yeah please do.

00:16:29: A traditional Revov person clicks around inside Salesforce or HubSpot right?

00:16:35: They are constrained by the menus and rules of that specific software.

00:16:39: UI Right But a GTM engineer writing code directly in a terminal Is using APIs to pull raw JSON data form the web Process it through an AI model like Claude In real time and then push the output directly into a customized outreach draft.

00:16:55: That sounds insanely powerful!

00:16:58: It is, it allows for massive parallel processing of complex logic that traditional UI

00:17:05: just

00:17:05: frankly can't handle...it completely elevates the entire function.

00:17:09: But where do actual strategies come from?

00:17:13: Because AI doesn't spontaneously invent a brilliant sales strategy out of nowhere?

00:17:18: No definitely not.

00:17:20: Davide Grieco has a philosophy on this that ties right back to our earlier point about manual validation.

00:17:25: He says the best ideas still come from your top human sellers.

00:17:29: Yep, The technology really only scales with the Human Proves first.

00:17:34: Exactly like no it's actually more than just scaling.

00:17:37: Grieko gave an example of a rep named Sabrina Glasser who closed over one million dollars in cold outbound.

00:17:43: Wow

00:17:43: Yeah, and she built this highly complex manual workflow.

00:17:46: She was checking first-party CRM data hunting down third party news signals identifying the specific buying center And hand crafting them as of herself.

00:17:54: so she was doing the triangulation manually

00:17:57: exactly and Greco argues The GTM engineers job isn't to sit in a vacuum invent A new play.

00:18:03: their job is to take Sabrina's winning Manual Play Deconstruct the logic behind it and centralize It in code So the entire organization can execute at machine speed.

00:18:13: That makes total sense.

00:18:15: Sabrina validated the foundation and the trenches, she proved it worked on a psychological level with real buyers.

00:18:21: And then the engineer just built the infrastructure to scale her human ingenuity.

00:18:26: Exactly.

00:18:27: But there is pretty dangerous trap here for engineers building these systems.

00:18:31: Oh!

00:18:31: The pipeline impact thing?

00:18:33: Virage Parmar brought up very necessary reality check regarding that trap.

00:18:37: Yet he noted that GTM engineering success shouldn't be measured by how many automations you build Right?

00:18:43: Or how many complex API calls you string together in the terminal.

00:18:47: No, it absolutely has to be measured by pipeline impact because at the end of day someone still has to pull out a corporate credit card and buy your product.

00:18:54: It is remarkably easy to fall in love with the elegance of technology rather than outcome.

00:19:00: You can build beautifully engineered flawlessly executed workflow that targets the exact wrong people

00:19:07: And if doesn't generate revenue then its failure period

00:19:10: Exactly.

00:19:11: And that leads to the massive internal risk that Jay Gaines highlighted recently.

00:19:16: This new AI power is breaking cross-functional alignment at a truly terrifying speed.

00:19:21: How so?

00:19:22: Because these coding tools and AI models are so powerful now, a sales leader can literally build a highly complex ICP and segmentation model over the weekend using AI but meanwhile marketing is in their corner building their own AI model.

00:19:37: Oh man

00:19:38: That is an organizational design crisis just disguised as a technology upgrade.

00:19:43: It really

00:19:43: is.

00:19:44: Gaines points out that suddenly these teams aren't just drifting apart slowly over a few quarters, they are sprinting apart in days.

00:19:52: each function is armed with their own AI generated highly confident version of truth.

00:19:57: right

00:19:57: and let's expand on that orchestra analogy we touched on earlier.

00:20:00: it's the ultimate irony.

00:20:02: We bought this AI systems to unify our revenue engine.

00:20:05: Right but If marketing is playing Mozart based on their AI models and sales as playing heavy metal, the customer's just hearing a chaotic wall of noise.

00:20:16: It completely destroys the buyer experience.

00:20:18: We're essentially giving every single musician in The Revenue Orchestra Their own personal conductor.

00:20:24: That such good way to put it.

00:20:25: They

00:20:25: might be executing perfectly against specific prompt But they aren't playing same song at all.

00:20:32: The silos are getting faster Smarter and much, much more rigid.

00:20:37: So just tying this all together we are facing breaking economics where acquiring revenue costs more than double what it brings in.

00:20:45: We know mass blasting is dead which forces teams to manually validate their messaging before automating right?

00:20:50: We know purchased intent data is largely useless.

00:20:53: now pushing teams toward proprietary signals like job changes And we have GTM engineers building highly complex logic to execute this at scale but bringing massive alignment risks with them.

00:21:05: It's a lot to navigate, But what stands out when you look into that entire landscape is the technology itself no longer the differentiator.

00:21:14: I mean everyone has access to Clawed Down.

00:21:16: Everyone can scrape exact same web data.

00:21:19: Everyone could write the same API calls

00:21:22: Which leaves us with pretty provocative thought for you.

00:21:25: all over We spend so much time obsessing over GTM metrics, AI workflows and signal decay.

00:21:31: But what if the ultimate go-to market moat isn't in your tech stack at all?

00:21:35: What do you mean?

00:21:37: In a future where every company can instantly generate thousands of perfectly personalized emails at zero marginal cost... ...what if the only true differentiator left is absolute undeniable brand trust & community word of mouth – The one thing AI can never fake!

00:21:53: That IS powerful When everything else is completely automated, humanity and reputation just become the absolute premium currency.