Best of LinkedIn: Go-to-Market CW 08/ 09

00:00:00: This episode is provided by Thomas Allgaier and Frennis, based on the most relevant LinkedIn posts about GoToMarket in calendar weeks eight and nine.

00:00:07: Frenus is a B-to-B market research company helping enterprises gain the customer, competitive and positioning insights needed to drive GTM success.

00:00:16: And huge welcome to all of you joining us.

00:00:19: if you are A b-to be marketing professional You know whether you are architecting a massive enterprise revenue team or you Are just the solo engine driving growth at a midmarket startup?

00:00:30: You aren't exactly the right place.

00:00:32: Yeah absolutely.

00:00:33: today we're bringing really highly focused deep dive into the absolute top go-to market trends that have, well basically dominated a professional conversation across LinkedIn over the past two weeks.

00:00:45: Right calendar week's eight and nine

00:00:46: exactly.

00:00:47: at.

00:00:47: the overarching mission of our Deep Dive today is to Really explore this massive fundamental shift in how growth has actually generated.

00:00:54: I mean we are seeing the GTM Conversation move entirely away from these isolated quick fix tactics.

00:00:59: Yeah The era just hacking together A few email sequences Is totally Over.

00:01:03: It really is.

00:01:05: Instead, it's all about engineered compounding systems—systems that actually connect AI infrastructure and revenue architecture.

00:01:21: So we've clustered the insights from these past two weeks into a cohesive journey for you.

00:01:28: We are going to look at how strategy fundamentally dictates your tech stack, how AI is evolving into very strict engineering discipline rather than just basic writing assistant and finally specific agent work flows that GTM leaders literally betting their careers on right now.

00:01:46: Let's start with bedrock which is the strategy in revenue architecture because there is one glaring takeaway from the past two weeks of insights, it's that your GTM strategy absolutely has to start with a foundation of clarity and market understanding.

00:01:59: Not just a rush to execute?

00:02:00: Exactly!

00:02:01: not Just A Rush To Execute.

00:02:02: If Your Foundation Is Cracked Running Factor Just Won't Save You.

00:02:06: But

00:02:06: Here'S The Difficult Part How Do you Actually Know When That Foundation Cracks?

00:02:11: Because if my pipeline drops today My Instinct As A Leader Is Look At Todays Metrics.

00:02:17: I Want To Look at the current SDR output, or maybe this week's ad spend.

00:02:21: Which

00:02:22: is exactly the trap.

00:02:23: and Alon even pointed out something that really challenges that entire reactive mindset.

00:02:27: he notes that when a GTM motion fails The root cause Is almost never what you're doing today right?

00:02:33: The route cause is usually twelve months old.

00:02:35: well twelve months

00:02:37: Yeah.

00:02:37: It always comes down to fundamental lack of market understanding That was baked into strategy A full year prior.

00:02:44: So

00:02:45: treating pipeline issue by just blindly adding more sales development reps, or you know pumping more budget into a channel.

00:02:52: It's

00:02:52: treating the fundamental system problem like it is just an execution problems

00:02:55: Precisely!

00:02:56: You can't optimize your way out of broken systems...you end up failing faster and burning cash along that way.

00:03:03: That twelve month lag is simply time for bad strategic assumption to cycle through your sales process And actually show-up as missed revenue.

00:03:13: That reframes the whole pipeline conversation.

00:03:15: Yeah, and honestly a lot of what we look at in our pipelines to justify or strategy is just completely detached from reality anyway.

00:03:21: Oh totally!

00:03:22: Piyushdi Bumare asked a brutal but very necessary question to revenue leaders this week.

00:03:29: he asked if thirty percent of your pipeline vanished tomorrow would you actual revenue change it

00:03:34: all?

00:03:34: that's terrifying question.

00:03:36: ask a room full sales leader.

00:03:37: right I mean A terrifying question, but his point is that a massive chunk of what sits in the CRM Is just pipeline theater.

00:03:44: It's curiosity disguises intent.

00:03:46: Yeah He knows that real qualified deals must have three non-negotiable elements.

00:03:50: They need economic consequence internal risk and a forcing event.

00:03:54: if for prospect doesn't lose money by doing nothing If nobody's job is on the line And if there isn't a hard deadline forcing your decision you don't actually have a deal.

00:04:04: You're just padding your dashboards to make the quarter look a little less intimidating.

00:04:08: And if we connect this pipeline theater to The Bigger Picture, it explains why we have so much dysfunction in how these GTM systems are managed internally.

00:04:17: It really raises an important question about ownership.

00:04:20: Who is actually responsible for ensuring that system doesn't fill up with junk?

00:04:25: That's great!

00:04:26: Mike Rizzo tackles this brilliantly.

00:04:28: He argues that a GTM stack shouldn't be viewed as a loose collection of software subscriptions.

00:04:34: It is actually a product that needs a dedicated, highly technical owner...

00:04:38: But in most organizations no one really owns it end-to-end do they?

00:04:41: Yeah I mean the CMO owns the brand tools.

00:04:43: The CRO owns CRM.

00:04:45: Maybe the CTO touches the data warehouse

00:04:47: Exactly!

00:04:48: They own their little fragmented silos.

00:04:51: And because nobody owns the holistic system Nobody's responsible when the data breaks down between marketing and sales.

00:04:57: This is exactly why Rizzo argues that marketing ops or rev-ops needs a clear mandate to step up and run the GTM infrastructure like true software product.

00:05:06: Yes It needs its own roadmap, it's life cycle management And it need to treat internal revenue team as actual user base.

00:05:13: When you have dedicated ownership You can actually build system focused on sustainable growth Rather than frantically hunting for new logos To replace ones churning out.

00:05:23: Definitely.

00:05:24: Sangram Vajra broke down the brutal math of net revenue retention or NRR to illustrate this perfectly.

00:05:31: He pointed out that if you were sitting at ninety percent NRR, You are essentially trying to fill a leaky bucket!

00:05:36: You have to go out and whim forty percent in completely new business just To achieve a modest thirty-percent growth rate

00:05:42: which is Just exhausting.

00:05:44: for any team

00:05:45: it Is exhausting but If you Have an engineered system That gets you to one hundred twenty percent nr r your existing customers are doing the heavy lifting for you, expansion becomes...the actual growth engine.

00:05:58: Which brings up the obvious next question How do actually execute that kind of retention practically?

00:06:04: It sounds great in theory but it requires serious discipline.

00:06:08: Kun Stam proved this out on The Real

00:06:10: World.

00:06:11: Oh I love his post Right.

00:06:13: He shared how he scaled a sauce company from two million to ten million dollars and did by something which would probably make most traditional sales teams Riot.

00:06:22: What did he do?

00:06:23: He narrowed their ideal customer profile incredibly specifically, we're talking down to specific tech stack attributes and internal desk ratios.

00:06:32: And then he gave his customer success team veto power over new pipeline.

00:06:36: Wait!

00:06:36: He gave customers success the power To kill an active deal before it closed.

00:06:41: I can only imagine The internal friction that must have caused at first.

00:06:44: Oh It goes against every instinct a sales rep has But the logic is bulletproof.

00:06:49: If the CS team looked at a prospect and knew they couldn't make them incredibly successful, They vetoed the deal.

00:06:56: They refused to close bad revenue.

00:06:59: Wow And as a result of that extreme discipline their win rates hit thirty four percent and Their customer acquisition costs dropped significantly.

00:07:08: They won by focusing purely on flawless execution for The Right Buyers not reckless expansion At any cost.

00:07:14: That is such a powerful pivot, but you can't have that level of flawless execution if your underlying infrastructure's fighting against you.

00:07:22: Which naturally brings us to the second theme today—the technology itself!

00:07:26: Yes — the stacks and infrastructure.

00:07:28: Right now we are seeing massive evolution in tech stacks.

00:07:31: GTM leaders are aggressively transitioning away from clunky passive systems-of record... ...and moving toward dynamic system action.

00:07:38: But that transition is incredibly messy right now.

00:07:41: People are enthusiastically buying all the right modern tools, but they're deploying them in completely wrong order.

00:07:48: Jan Rasmussen audited over three hundred GTM stacks recently and shared some really sobering realities.

00:07:55: For instance, he found companies literally wasting one hundred and eighty thousand dollars a year on advanced intent tools like Six Sense.

00:08:03: But isn't the whole point of a tool like Six sense to help fix your targeting?

00:08:07: Why is that a waste?

00:08:08: it's a waste if you're basic foundation has broken.

00:08:10: they were layering this expensive predictive intent data On top of a CRM That was completely unmaintained in full Of dirty Data.

00:08:18: The signals had nowhere To land.

00:08:19: oh that hurts to hear.

00:08:21: Furthermore, he saw teams hoarding fifty-two different GTM tools paying hundreds of thousands of dollars in licensing but their teams were only actually logging into and using seven on a daily basis.

00:08:32: The

00:08:32: software hoarding is so real.

00:08:34: I think we all know the pain trying to manage, let alone integrate, fifty different dashboards.

00:08:39: Amir Atli saw that exact same symptom.

00:08:42: He talked about meeting a Fortune One Hundred VP who was spending nine hundred and fifty thousand dollars per year exploded tech stack.

00:08:51: Almost a million dollars!

00:08:53: But when Amir asked the very simple question he asked, can you point to these tools and explain exactly how they helped you win your last major deal?

00:09:02: The VP couldn't do it—they had all enterprise software money could buy but didn't actually trace their own revenue that was being created…

00:09:09: Which has be terrifying realization for a revenue leader —you're flying completely blind while spending.

00:09:17: The fix, as we are seeing across the smartest practitioners in community is radical simplification.

00:09:22: Yes.

00:09:23: Rishi Sabla notes that most forward-thinking GTM leaders actively cutting their stacks in half.

00:09:29: They're stripping everything down to four essential highly interoperable layers.

00:09:34: Okay

00:09:34: what of the four layers?

00:09:35: We were throwing out bloated software.

00:09:37: What actually stays?

00:09:38: You need a system record which your core CRM truth.

00:09:42: You need a system of context, which is where your messaging logic and prompts live.

00:09:46: you need a System Of Orchestration to actually route the data between platforms And finally A system of activation for your actual outbound an in bound outreach.

00:09:55: That makes sense.

00:09:56: If tool doesn't cleanly and clearly fit into one of those four layers It gets

00:10:00: cut.

00:10:01: That makes the data flow so much easier to visualize.

00:10:04: And Jack Mercer adds a great perspective on how that data should actually move through those four layers, he says it is all about connecting the loop right?

00:10:13: A modern architecture has to flow from a signal like a prospect hiring in new CMO To enrichment where you find their contact info and current tech stack.

00:10:23: From there flows to relevance which is tailoring the message, then momentum to keep the deal moving and finally to feedback so that system learns if it actually worked.

00:10:31: Exactly!

00:10:32: It doesn't matter if you have most expensive AI in world If those layers don't connect seamlessly.

00:10:37: The tools simply do not matter.

00:10:39: And just put some hard benchmark numbers for this reality for our listeners.

00:10:42: Sharad Kulkarni scanned the actual tech stacks of over three thousand four hundred fast growing B-to-B companies.

00:10:49: That data is wild.

00:10:51: Despite this push for simplification, the average company is still running nearly thirty-two tools.

00:10:56: Thirty two tools?

00:10:57: The sheer amount of API maintenance alone has given me a headache just thinking about it.

00:11:01: It IS unsustainable.

00:11:04: Interestingly, Sharag also noted a massive shift happening at that foundational system of record layer.

00:11:10: HubSpot is rapidly pulling away from Salesforce in the mid-market.

00:11:14: Really?

00:11:14: Yeah we're looking at fifty two percent adoption for HubSpOT compared to Salesforce's twenty one percent in that specific segment.

00:11:22: The market's desire for a more unified all-in-one system Is clearly driving massive shifts and buying behavior.

00:11:29: That desire for a unified system is exactly what's pushing us into the next scheme today, which is AI and engineered GTM.

00:11:36: We all know that AI has moved way past basic copy generation or writing LinkedIn posts but this shift we saw in the GTM community last week was that AI now being treated strictly as an engineering discipline.

00:11:48: This is crucial distinction.

00:11:49: Jasper Van Oetrek argues that what were doing last year—that basic twenty-twenty three style prompt engineering —is completely dead!

00:11:56: Thank goodness

00:11:57: Think about it.

00:11:58: As a GTM leader, you shouldn't have to sit down and re-explain your ideal customer profile.

00:12:02: Your brand tone and product features to an AI every single Monday morning just to write a campaign... No

00:12:07: it's huge waste of time!

00:12:08: The new critical skill for BtoB marketers is context engineering.

00:12:13: It's about building underlying systems that actually remember business logic learn from the data they process And compound their intelligence over time.

00:12:21: But Context Engineering comes with whole set of risks right?

00:12:25: Lawrence Nize warns against something he calls context

00:12:28: rot.

00:12:28: Context Rot, yes?

00:12:30: If

00:12:30: you get lazy and just force feed an AI agent a massive unstructured twenty page standard operating procedure the AI gets overwhelmed it loses the thread and starts hallucinating completely irrelevant information

00:12:43: Exactly!

00:12:43: You can't just dump a PDF into an AI and expect magic.

00:12:47: Lauren says The solution is what he called progressive disclosure...you have to build atomic files and routing maps of your content.

00:12:54: Let's define that for a second.

00:12:56: Think of an atomic file like single unchangeable Lego brick of your company messaging, maybe one specific file just for pricing logic and another just for a specific competitor battle card.

00:13:07: Instead handing the AI instruction manual at once The routing map ensures the AI only pulls the exact Lego bricks it needs For this specific problem solving at that exact moment.

00:13:19: That

00:13:19: is a perfect analogy, and what's fascinating here?

00:13:32: Right now, a lot of teams operate with individual reps prompting their own individual chat GPT windows in complete silos.

00:13:39: But your GTM team needs version controlled logic just like a software engineering team.

00:13:44: exactly

00:13:44: if you're growth Team updates the definitions and your lead scoring model Your SDRs AI assistant should automatically pull that new definition from a shared repository.

00:13:53: The entire revenue team has to run on the exact same institutional memory.

00:13:58: That level of alignment is the absolute dream.

00:14:01: But we also need to keep our feet on the ground regarding what AI should actually be doing.

00:14:07: Sergey Grizzly shared a very important warning this week, he said A.I.

00:14:11: Should Be Your Backend Infrastructure.

00:14:13: It Should Never Be Your Voice.

00:14:15: He built a system that uses AI to remove friction and automate all of the backend account research across his stack.

00:14:22: That pure infrastructure play led to massive fifty-seven percent lift in an unbound.

00:14:27: But he stresses that when it comes to the actual conversation with a buyer, human outreach is still essential.

00:14:33: The AI sets the stage perfectly but humans have to close their

00:14:38: trust.

00:14:40: And moving too fast with automation can destroy it instantly.

00:14:43: Richard Thornton reminds us of the golden rule of GTM operations.

00:14:46: before you automate anything, You must understand your sales process deeply.

00:14:50: Yeah If you don't understand the nuances of why your buyers buy AI is just going to execute Your flawed broken assumptions at a terrifying scale.

00:14:58: Oh speaking of terrifying scale Did you see Alexander Scharze's post this week?

00:15:03: He actually made A brilliant satirical joke about This exact trend.

00:15:07: I saw The headline and almost choked on my coffee The

00:15:09: one about Rajiv the bot?

00:15:11: Yes, the Rajiv post.

00:15:12: He posted this whole exaggerated story bragging about using claw to build an entire GTM stack from scratch in thirty three minutes claiming it instantly booked two hundred and forty-three meetings through an automated bot named Rajiv.

00:15:27: Tell me people didn't actually believe Rajiv was real when booking those meetings.

00:15:30: Some people definitely missed a joke at first But it served as a perfect biting warning to the industry.

00:15:36: It perfectly captured the absurdity of The Current Hype Cycle, and highlights the absolute danger of generating automated noise instead of actual meaningful revenue!

00:15:45: You don't want a Rajiv… you want a system.

00:15:47: Poor Rajiv had very busy week.

00:15:50: so practically speaking moving on our last thing here community benchmarks in the eugenic future.

00:15:55: if we are moving past the hype focusing on engineering real systems What are the actual tools and platforms that BDB marketing practitioners are converging around right now?

00:16:04: Well, according to a recent highly detailed survey conducted by Michelle Lieben who specifically asked GTM leaders running organizations with over one million dollars in revenue about their tech stacks.

00:16:15: There is an undisputed king right know.

00:16:18: then what does it?

00:16:19: A platform called Clay is showing up in a staggering seventy-one percent of these GTM tech stacks.

00:16:26: It has essentially become the foundational data and orchestration layer for modern outbound.

00:16:31: Play really is everywhere right now, but there's a new player shaking up how these workflows are built —and that's Claude Code!

00:16:38: I've seen some debate about this—is Claude code going to replace those orchestration platforms?

00:16:42: Right…the replacement fear...

00:16:44: Olihae Casopana made a really insightful point about this dynamic.

00:16:47: She points out that Claude Code isn't replacing clay at all, it is actually accelerating it!

00:16:52: How so?

00:16:52: Well... Clay still the absolute best in handling complex data enrichment.

00:16:57: It runs what they call waterfalls which are basically cascading datalogic.

00:17:01: If it can't find a prospect's valid email using Provider A, the waterfall logic automatically cascades down to check Provider B then Provider C ensuring you get the highest quality signal.

00:17:12: Make sense.

00:17:13: Plod code on other hand handles all repetitive connected tissue around it.

00:17:17: You write scripts to export data format CSVs and build custom API connections between your various tools.

00:17:24: It acts as ultimate technical operations assistant.

00:17:28: If

00:17:28: we connect this rise of autonomous code generation to the bigger picture, it highlights a massive new gap in

00:17:50: Exactly

00:17:51: like that.

00:17:52: When you have autonomous AI agents doing tasks, finding signals and updating your CRM records at two in the morning while you sleep You desperately need a place to monitor and trace exactly what logic those agents used And why they changed a piece of data.

00:18:06: That's

00:18:06: a great point.

00:18:07: If an agent disqualifies an account... ...you need be able to audit why.

00:18:11: trusting an autonomous system requires complete visibility into that system.

00:18:15: That visibility is going to be the difference between a system that scales and assistant completely crashes your database, And when this all clicks together with the observability in the context engineering align The results are just mind-blowing.

00:18:29: Antoine Menager shared what has to Be the ultimate success story of This new architecture in action

00:18:35: the one point five million euro pipeline story.

00:18:37: Yes,

00:18:38: he built a fully automated pipeline for a company that generated one point-five million euros with absolutely zero manual prospecting.

00:18:45: none

00:18:45: unbelievable.

00:18:46: The system automatically detects specific signals on LinkedIn.

00:18:50: it routes that signal to clay where it enriches the prospects data.

00:18:54: It handles the initial highly contextual messaging.

00:18:56: it books the qualified call.

00:18:58: and then This is the best part, it literally sends him an AI-generated briefing document with all of context right before he jumps on to Zoom meeting.

00:19:07: That really is benchmark for what's possible today!

00:19:10: He engineered a system that does all heavy lifting so human only steps in when trust needs to be established and this is exactly where future of profession heading.

00:19:20: Kao Poyar recently asked BtoB GTM leaders what their biggest bets were.

00:19:25: The top two answers across the board were AI discovery, meaning optimizing for how AI search engines and agents perceive your brand an intent-based outbound.

00:19:36: No more spray & pray!

00:19:38: The days of spraying and praying generic messages to a purchase list are definitively over.

00:19:42: it is all about acting on precise signals with engineered automated workflows.

00:19:46: So as we wrap up today's deep dive I want to turn this directly over to you our listener.

00:19:52: We've talked a lot today about progressive disclosure, observability layers and interconnected infrastructure.

00:19:58: Inspired by a brilliantly tough question from Alan C in our source material I want to leave you with this final provocative thought to mull over.

00:20:06: that's Eric if You doubled your outbound volume tomorrow which layer of your tech stack would completely collapse?

00:20:11: Are you just optimizing your copywriting inside isolated silos or have you actually built a truly connected resilient GTM infrastructure.

00:20:20: If you enjoyed this episode, new episodes drop every two weeks.

00:20:23: Also check out our other editions on account-based marketing field marketing channel marketing MarTech social selling and AI in B to B Marketing.

00:20:31: Thank You so much for joining us on this deep dive into the absolute cutting edge of go to market strategy.

00:20:36: Don't forget to hit subscribe So you never miss an insight.

00:20:39: keep engineering those compounding systems And we will catch you next time.