Best of LinkedIn: Go-to-Market CW 32/ 33
Show notes
We curate most relevant posts about Go-to-Market on LinkedIn and regularly share key takeaways. We at Frenus help ICT & Tech providers identify niche channel partners by compressing the entire journey from identification to a qualified first meeting into just four to five weeks. You can find more info here: https://www.frenus.com/usecases/niche-partner-identification-and-activation-from-unknown-to-first-meeting-in-under-five-weeks
This edition outlines a comprehensive framework for viewing Go-to-Market (GTM) strategies as integrated commercial systems rather than isolated events or sales functions. It emphasizes that sustainable success requires cross-functional alignment across marketing, sales, and product teams to avoid the accumulation of "GTM debt" caused by disjointed playbooks. Experts highlight the necessity of rigorous discipline regarding Ideal Customer Profiles (ICPs), noting that many companies fail by targeting overly broad markets or ignoring stakeholder complexity. The sources also examine the evolution of growth mechanics, including the rising costs of customer acquisition and the specific challenges of international localisation. Furthermore, the text warns against the premature automation of processes using artificial intelligence, suggesting that technology only scales existing successes if the underlying data and strategy are sound. Ultimately, the overview presents a strategic shift toward predictable revenue engineering through better measurement, focused segmentation, and operational readiness.
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Show transcript
00:00:00: Provided by Thomas Allgaier and Franis, based on the most relevant LinkedIn posts about go-to market in calendar weeks thirty two and thirty three.
00:00:08: Franus is a B to B Market Research Partner helping ICT and tech providers identify niche channel partners By compressing the full journey from identification To qualified first meeting into four or five weeks.
00:00:20: you can find more info In description right.
00:00:23: so today we're doing A deep dive Into The top Go-To-Market Trends across Linkedin.
00:00:28: this Is specifically for B to be strategic marketing professionals.
00:00:32: Yeah, and the overarching theme that we're seeing in the data right now is pretty wild because GTM has constantly treated as this you know just a launch event or another name But the data proves it's actually an incredibly interconnected system.
00:00:47: Yeah,
00:00:47: exactly!
00:00:47: It is a massive system and I think we need to start by dismantling that idea of GTM as just sales or product launch date because so many companies confused them too like Klaus Workington shared this perfect example looking at North Kite in foil fall winter collection.
00:01:02: Oh yeah, the kite example Right,
00:01:04: so a launch is just the date.
00:01:05: The product goes live.
00:01:06: but GTM for that.
00:01:07: it's a massive cross-functional process.
00:01:10: It spans product development storytelling and the entire commercial network
00:01:15: well And it has to right.
00:01:16: Edward Golba actually proved this in the FinTech space.
00:01:18: Okay He was working on a product that generated four point six million dollars In year.
00:01:23: one revenue.
00:01:24: oh wow yeah?
00:01:25: And that didn't come from just launching a shiny do feature.
00:01:28: it came From building sales enablement directly into the GTM plan.
00:01:33: I mean, in FinTech the buyers are going to have intense security questions.
00:01:37: Exactly compliance security you name it.
00:01:40: and if the sales rep says uh let me get back to you the momentum just dies.
00:01:44: right.
00:01:45: but by equipping sales on day one you build trust.
00:01:48: so peter flower and brandon short make this point too.
00:01:51: they argue that gtm is not just a rebrand of the sales department.
00:01:55: no It spans marketing, sales, SDRs customer success product pricing partnerships all as one interdependent system.
00:02:03: Yeah Amit Dishpande has a great definition for it.
00:02:05: he calls the commercial operating system
00:02:07: The Commercial Operating System.
00:02:09: I like that.
00:02:09: Right!
00:02:10: It converts a validated offer into predictable revenue.
00:02:13: But wait Suzy T Tromburger adds this repeatable science Has to be built really early on.
00:02:18: Yes You can't just wait until you have say five million in ARR To figure out.
00:02:23: No because by then It's too late.
00:02:26: The system is already broken.
00:02:27: so if GTM Is the entire operating?
00:02:30: System then treating it like a launch, is its basically Like buying a Ferrari?
00:02:35: oh I love this analogy.
00:02:36: right you buy A Ferrari and You only ever turn the ignition on but you never actually put it in gear And drive
00:02:42: it exactly.
00:02:43: your just sitting In the driveway making noise.
00:02:45: yeah and putting it in Gear means understanding where the buyer Actually is.
00:02:50: Abhinash Mahanti points out that GTM starts by knowing exactly when and where customers make decisions.
00:02:56: Not just at launch time?
00:02:57: Right, not at launch!
00:02:59: And Reiki Lamhari says your plans have to center around the buyer's first moment of trust.
00:03:04: Yeah...the
00:03:04: Moment Of Trust….
00:03:05: Yeah..not The Demo but When They Actually Trust You!
00:03:08: And the timeline on this can be crazy.
00:03:10: Greg Karman gave a pretty stark warning for deep tech founders.
00:03:13: Yeah….the quantum computing one.
00:03:15: If you have a quantum computer that ships in twenty-twenty eight, your commercial engine has to be completely built by early Twenty-Twenty Seven.
00:03:23: You need a full year?
00:03:24: A
00:03:24: full year to educate the market!
00:03:26: So how do even know if you're
00:03:27: ready?!
00:03:28: We have some frameworks here.
00:03:29: Vladimir Malik breaks it down into eight dimensions of GTM readiness.
00:03:33: Eight dimensions!
00:03:34: Yeah, moving from market evidence all the way to enablement and Marty Kaufman has a diagnostic with five sequenced blocks.
00:03:42: Oh
00:03:42: right so you have to lock in the context on audience blocks before you ever debate what marketing channels do use?
00:03:48: Exactly Hassan Mansour connects this all into seven links from messaging down to operating rhythm.
00:03:55: And his point is that these links set your ultimate growth ceiling
00:03:59: because if you're weakest link breaks, the whole thing crashes.
00:04:02: Sherman style summarizes it really well.
00:04:04: she says GTM is just business wide alignment.
00:04:06: yeah
00:04:07: but so if GTM as a connected system?
00:04:09: That means If You Feed The System The Wrong Data It Breaks Absolutely.
00:04:13: An absolute worst data company can feed its system Is an imaginary target customer.
00:04:19: Yes Let's talk about The reality of targeting versus the fantasy of
00:04:24: targeting.
00:04:25: It's a huge problem.
00:04:26: Christine Castro points out that buying committees are now what six to thirteen people?
00:04:30: Yeah, massive committees.
00:04:32: But companies are still targeting one or two People based on who they want to sell too.
00:04:37: not Who actually has to sign off
00:04:39: in.
00:04:39: Dalai Wester proved how dangerous this is.
00:04:41: Oh
00:04:42: the audit example
00:04:43: right.
00:04:43: he scored twenty four existing customers for A company on actual fit things like support tickets.
00:04:49: time to close.
00:04:50: and when did They find
00:04:51: Out?
00:04:51: of twenty-four customers, nine were worth more than the other fifteen combined.
00:04:55: Wow!
00:04:56: Nine are worth more then fifteen?
00:04:57: Yeah because those fifteen bad fit customers... They drain resources, they complain.
00:05:02: They churn
00:05:03: and that builds up what Sangram Varje calls
00:05:06: GTM debt.
00:05:07: exactly
00:05:07: talked about this nineteen million dollar company That just stalled completely.
00:05:12: Just hit a wall.
00:05:13: Hit a wall because marketing sales in CS all had totally different playbooks.
00:05:17: It didn't agree on anything
00:05:19: right?
00:05:19: They couldn't agree On their most profitable customer.
00:05:22: it compounds quietly just like technical debt.
00:05:25: Cody LaHoste exposed This In A Really Funny But Terrifying Way.
00:05:30: What did he do?
00:05:31: He had a leadership team sit down and independently write down their target customer on a piece of paper.
00:05:37: Oh no!
00:05:38: Yeah, every single executive has different answers.
00:05:41: That is
00:05:42: terrifying
00:05:43: It really is
00:05:44: But it shows why discipline so hard?
00:05:46: Anastasia Lennox says that real segmentation is the refusal.
00:05:49: that costs you something.
00:05:50: The discipline of subtraction Great
00:05:52: like Yeti giving up the cheap cooler aisle in store.
00:05:55: So they can dominate premium market.
00:05:57: If your not saying no to revenue You don't have a Segment.
00:05:59: And Remy Piazza notes that this completely changes how we view market size.
00:06:04: Ooh, the tan versus tier M thing?
00:06:05: Yeah everyone says they have a ten billion dollar total addressable market but really it's often just a three hundred million dollars total relevant market.
00:06:12: right
00:06:13: and debating tactics is useless until you discipline the market down to that three-hundred million.
00:06:18: so How do you discipline it down?
00:06:19: Nikki Doggart gives five tests for this focus value opportunity moat strengths and repeatability.
00:06:27: You'll pass all five
00:06:28: All Five.
00:06:29: But the problem is once you define it, It doesn't just stay static.
00:06:33: Coonstam warns about silent ICP drift.
00:06:35: Oh yeah things change.
00:06:37: Your assumptions need a last checked date.
00:06:39: And Dr.
00:06:40: Ania Kay adds that your strategy only actually changes when the old CRM rules stop running.
00:06:45: Oh...that's such good point.
00:06:47: Yeah if you announce new target but your CRM still scoring the old leads in same way Nothing changed Because
00:06:53: this system is still running an old playbook.
00:06:55: You need documented playbooks with review cadences.
00:06:59: Barry Rodriguez says those have to replace gut instinct channel bets.
00:07:04: Okay, so speaking of gut instincts Let's talk about brand because Louis Fernandez and Reggie James pulled some sixth sense data.
00:07:10: that is wild.
00:07:12: Ninety-five percent of buyers are not in market.
00:07:14: ninety five percent
00:07:15: Yeah.
00:07:16: So brand has actually commercial infrastructure.
00:07:18: It gets you on the day one shortlist before they ever talked sales which
00:07:21: is crucial especially now And it's been sure points out that a new objection has popped up the build versus buy objection.
00:07:29: Oh,
00:07:29: right people wanting to bill at themselves.
00:07:31: Yeah tripled two seven point two percent of deals.
00:07:34: Buyers have so many tools they think they can just build the solution internally
00:07:38: and you can't just discount your way past That.
00:07:40: Maja voje warns that underpricing is a fatal mistake.
00:07:44: Untaid usage is not product market fit.
00:07:47: now It's just a free hobby.
00:07:49: Bill Stathapoulos built a seven-part ICP matrix to fix this, and it got sales capped into three million in ARR.
00:07:57: But we really need to distinguish between PMF and GTM fit.
00:08:00: Yes!
00:08:01: Heel or Waterback makes its distinction.
00:08:03: Product market fit is product pull right?
00:08:06: The users love it.
00:08:07: I
00:08:07: mean GTM Fit is different
00:08:08: Exactly.
00:08:09: GTM FIT is buyer led momentum.
00:08:11: It's when champions are advancing deals internally without you constantly having to push them.
00:08:16: By the way, if you're finding this breakdown useful make sure to hit subscribe so you don't miss our next deep dive.
00:08:22: Yeah definitely subscribe
00:08:23: because once you actually figure out that true icp and gtm fit The natural next step is well You try to scale it
00:08:30: right?
00:08:31: You want to grow
00:08:31: but expanding too fast or doing It in the wrong order.
00:08:34: That's where the engine just blows up.
00:08:36: It's
00:08:36: were the wheels come off Especially with hiring.
00:08:39: Doreen Radechek noted that fifty one percent of software startups hire sales first.
00:08:44: Yeah.
00:08:45: But David Turbitz argues you have to hire a GTM engineer before an SDR.
00:08:49: Oh, To build the infrastructure?
00:08:51: Yes If You don't build this system first The sdr has nothing to work with.
00:08:56: Jack Daly says This is why the average VP of sales only lasts eighteen months.
00:09:00: oh wow Eighteen Months
00:09:02: Because CEOs just keep replacing them Which just masks broken ICP.
00:09:06: So it's not Just A talent problem It's An Infrastructure Problem
00:09:09: Exactly.
00:09:10: And Motion Choice Is Huge Here too.
00:09:12: Yuri Larchov points out that median-sauce-cac payback is sixteen months now.
00:09:17: Wait, sixteen months?
00:09:18: Yeah!
00:09:19: Product lead growth is about eight months but sales lead is nineteen months.
00:09:23: so your motion has to follow your average contract value in sale cycle.
00:09:27: You can't just imitate someone else.
00:09:28: Especially founder-led pricing, Kyle Poyar says that breaks entirely after five million in ARR and expanding into new markets is dangerous.
00:09:38: Alon even warns if you expand to a new market before your current motion is repeatable
00:09:45: You're doubling your problems.
00:09:46: Right,
00:09:47: and Christina Pellegrini says if you give equal budget to multiple GTM motions... ...you literally have no strategy!
00:09:54: Yeah
00:09:54: I have to make a choice.
00:09:55: yeah And you have to understand regional reality.
00:09:57: Oh this is a great point.
00:09:59: K Dosu's example
00:10:00: The peanut butter?
00:10:00: Yeah A premium peanut butter failed in Nigeria because they misread the climate shelf life.. ..and the premium pricing.
00:10:07: They completely ignored the physical reality of the market.
00:10:12: Rida Warakorn points out a software version of this.
00:10:15: APJ is forty-eight countries.
00:10:16: Forty
00:10:16: eight country?
00:10:17: You can't just take a San Francisco quota and expect it to work in Tokyo
00:10:20: or Latin America, yeah Mesa D stresses that just translating a cadence to Spanish Is not Latam localization.
00:10:27: no
00:10:28: It's not.
00:10:28: And Tedger Thomas Burgess talks about vertical realities like federal deals.
00:10:33: They're decided twelve to eighteen months before solicitation has even posted
00:10:37: which means if you're waiting for the RFP your too late
00:10:39: You already lost.
00:10:41: Nicholas Euchon argues that stalled growth like this is a constraint problem, it's not sales problems.
00:10:46: Adding activity just burns
00:10:48: runaway.".
00:10:49: Rob Young agrees.
00:10:49: he says fix the leagues before pouring more leads into the funnel.
00:10:53: Yeah,
00:10:53: Jordan Peter Wright said in IT Services naming an owner and response SLA for top accounts actually beats spending a euro on new campaigns.
00:11:03: Just fixing the process.
00:11:05: Justin Gerard saw forty-five percent revenue lift on flat spend just from prelaunch cross functional alignment.
00:11:12: Wow, so it's like trying to bake more cookies by shoving dough into broken oven.
00:11:17: That is exactly what It Is.
00:11:19: and Matrofuro point really hits here too.
00:11:21: Borrowed GTM plans import hidden assumptions that will break in your specific market Right
00:11:26: because you don't have their oven.
00:11:27: Exactly Yeah.
00:11:28: Adam Lee says this about K-Twelve territory planning, you need to look at TAM quality and buying propensity not just raw student counts.
00:11:36: And Curian Seriano adds that EdTech founders face two failures product validation versus commercial capability?
00:11:41: Yeah getting it built versus getting a bot.
00:11:43: Chira Gillad notes only nine percent of the twenty twenty two Israeli cohort reach Series B.
00:11:49: Nine percent!
00:11:50: To survive Patricia Bliker says You have to tie execution to trends but anchor your strategy in value creation fundamentals.
00:11:58: And Jeffrey Moore reminds us that pragmatist credibility requires discipline sequencing.
00:12:03: Press, analysts partners customers.
00:12:05: you can't
00:12:06: skip steps.
00:12:07: but because human scaling is so hard and full of friction everyone is now rushing to use AI to bypass these constraints.
00:12:14: oh yeah the AI gold rush.
00:12:16: But data shows they're really just automating their own demise.
00:12:19: You are
00:12:19: speeding up mistakes.
00:12:21: Praveen Shahi warns that automating GTM without auditing your ICP just scales your existing problems faster.
00:12:28: Right, you're doing the wrong thing at lightning speed.
00:12:30: Oh... Alex Vaca reveals cold email reply rates are sitting at three point four-three percent.
00:12:36: Wow!
00:12:36: That is low
00:12:37: Because unsupervised AI is burning sending domains.
00:12:41: But signal triggered sends hold at thirteen percent because
00:12:44: there's actual intent There.
00:12:45: Exactly
00:12:46: but finding true signaling.
00:12:48: Matteo Foa says generic signals like funding rounds are just noise.
00:12:52: Yeah, everyone reaches out when a company gets funding.
00:12:54: Right!
00:12:55: You need industry specific signals Like a staffing firm posting ten sales rolls.
00:12:59: That's the real signal.
00:13:01: Andrew Riesenfeld adds that companies hiring for Gen AI skills is a massive buying signal For implementation demand.
00:13:07: Yeah, I think it was one in thirteen with hiring surges
00:13:10: right.
00:13:10: so Jean-Michel van offers A five step framework to stack and qualify those warm engagement signals
00:13:16: stacking them not just taking One
00:13:18: exactly.
00:13:19: And John of rank six shows how a Six stage automated flywheel grew a company.
00:13:22: two one point.
00:13:23: five million an ARR With zero paid ads.
00:13:26: zero paid Ads.
00:13:28: That's incredible.
00:13:29: but We have to talk about agentic GTM.
00:13:32: Oh, Agent Washing?
00:13:33: Yeah!
00:13:33: Jonathan MK notes that forty percent of Agentec AI projects will be cancelled by twenty-twenty seven because of agent washing.
00:13:39: True agents require context loop and graph engineering.
00:13:43: Yeah Lauren's niece explains that Wikis only capture internal knowledge.
00:13:47: Agents actually need a graph outside world entities to function.
00:13:50: Outside Context
00:13:51: Exactly.
00:13:52: And Lindsay Roffelsberger points out that AI makes all marketing sound exactly the same.
00:13:56: I've noticed Right.
00:13:57: So the true differentiator is a curated context layer of messaging and positioning.
00:14:02: Carrie Maka adds that an AI bot can transcribe a meeting perfectly, but you still need GTM discipline to interpret the buyer's actual decision pressure...
00:14:10: Because AI doesn't understand politics!
00:14:12: Right.
00:14:13: Deepinder Singh Dhingra notes that GTM systems measure individual activity?
00:14:17: But a deal is actually buying group reaching agreement.
00:14:20: Yes David Cohen says slowing revenue often reflects poor visibility into existing opportunities, not a lack of new leads.
00:14:28: And Mike Carpenter says AI should be used to challenge leadership pattern recognition...not just replace experience.
00:14:35: Challenge the executives!
00:14:37: Not replace the SDRs?
00:14:38: Right
00:14:39: and this all wraps up in what Dana Markser calls Revenue Engineering.
00:14:42: Revenue
00:14:42: engineering.
00:14:43: Revenues should be engineered as design system inputs constraints throughput.
00:14:47: Things are speeding.
00:14:48: Ramsey Musa notes B-to-B purchased journeys dropped under twelve weeks.
00:14:52: Wow!
00:14:53: And we're seeing AI agents actually firing vendors over API limits.
00:14:57: They are firing vendors autonomously.
00:14:59: Yeah
00:15:01: Dr.
00:15:01: Pichu Sasanio Solonin notes that agentic products sell through pilots and architecture proof, not traditional demos...
00:15:07: ...and well if were engineering our GTM systems to be fully autonomous and buyers using agents to evaluate fire vendors How long until B-to-B sales?
00:15:16: is just our GTMAI negotiating with the buyer's procurement AI in milliseconds, completely bypassing human
00:15:39: interaction?
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