Best of LinkedIn: Account-based Marketing CW 16/ 17

00:00:00: Provided by Thomas Allgaier and Frennus, based on the most relevant posts on LinkedIn about account-based marketing in CW-Sixteen and Seventeen.

00:00:08: Frenness is a B to B market research company working with enterprises spending three entire years engineering twenty-seven distinct highly relevant touch points just to win a single client account.

00:00:29: Today we're looking at why standard BWB marketing is, well completely dead.

00:00:33: and why programming the buyer's GPS so that you are only logical destination.

00:00:40: Yeah,

00:00:41: it is a brutal reality check for a lot of companies right now.

00:00:43: And uh... For this deep dive we are unpacking the absolute sharpest zero fluff insights curated directly from B to D marketing professionals who were sharing what actually works on LinkedIn during calendar weeks sixteen and seventeen.

00:00:55: We're stripping away all that high-level theory you know just looking strictly at what practitioners or actually deploying in the field to win massive enterprise deals.

00:01:03: And if you're listening to this, You likely already know the basics of ABM.

00:01:07: It means targeting specific high value accounts rather than just casting a wide net.

00:01:13: But looking at recent conversations driven by Tom Barnes and Nancy Carlisle Harlan it becomes incredibly clear that most what industry calls ABM is actually a lie.

00:01:27: Oh, completely.

00:01:28: Like if you are just taking a list of target companies uploading that CSV file to LinkedIn and hitting them with sponsored ads.

00:01:35: You're not doing account-based marketing right?

00:01:37: You're just doing targeted demand generation

00:01:38: Which is a fundamental distinction That honestly way too many leadership teams.

00:01:42: Just misunderstand what Tom and Nancy are pointing out.

00:01:45: Is that true?

00:01:46: ABM is Not some marketing campaign you just bolt onto the side Of your existing strategy?

00:01:50: yeah definitely no.

00:01:51: it is an entire go-to market motion.

00:01:53: It dictates resource allocation it dictates how sales reps spend their mornings and it fundamentally changes how you measure a quote-unquote win.

00:02:02: When you treat like just another digital marketing campaign, It stays completely isolated within the marketing department.

00:02:09: And when it stays isolated?

00:02:10: I mean...it burns through budget at an astonishing rate.

00:02:14: Svetlana Lykareva had a brilliant post highlighting exactly this.

00:02:18: She noted that The absolute most expensive thing in B to be isn't software or ad spend.

00:02:24: No!

00:02:24: Its misaligned teams.

00:02:25: Exactly

00:02:26: If you have marketing pushing display ads to one set of accounts, while sales is cold calling a completely different list of accounts because they have their own quotas.

00:02:36: Adding expensive intent data technology on top that dysfunction doesn't scale revenue.

00:02:41: It just scales waste.

00:02:43: It

00:02:43: scales waste because the two departments are essentially operating on different clocks.

00:02:47: I mean marketing is usually looking at a nine to twelve month pipeline build nurturing long-term brand equity

00:02:52: risk, right?

00:02:53: But sales is looking out of ninety day quarterly quota.

00:02:56: if you do not reconcile those two timelines The engine just completely seizes up.

00:03:01: i hear that and like.

00:03:02: alignment sounds great in the boardroom But I have to push back on how realistic this actually is.

00:03:08: If you've got sales compensated entirely on closing deals, How do you force them slow down and run a synchronized play with marketing?

00:03:19: You can't just ask nicely!

00:03:22: And Marcus Stahlberg provided this ruthlessly simple diagnostic.

00:03:29: He said, if your sales team cannot explain the company's ABM strategy in thirty seconds or less you don't actually have an ABM strategies.

00:03:36: Wow!

00:03:36: Yeah...you have a marketing science project.

00:03:39: That is the perfect litmus test.

00:03:41: because The reality is sales won't be able to explain it If they're still being compensated To chase raw leads rather than penetrate strategic accounts.

00:03:51: Exactly!

00:03:52: Like, if your CRM is still optimized for marketing qualified leads and you reps get bonuses for call volume rather than initiating a strategic conversation with the multi-threaded enterprise account why would they ever change their behavior?

00:04:04: They won't.

00:04:05: which gets to this systemic failure?

00:04:07: Aaron Carpenter highlighted perfectly.

00:04:08: he noted that most ABM programs collapse before even launch

00:04:13: Because they buy the tech first.

00:04:14: Right,

00:04:15: marketing teams by a shiny new platform build a massive slide deck and roll it out without ever doing the brutal internal selling required.

00:04:22: You have to sit down with the VP of sales And literally restructure The dashboard metrics and the commission structures To reward ABM behaviors over cold outbound spam.

00:04:34: So step one you Buy your VP of Sales lunch?

00:04:37: You fix the compensation structure and you lock in that alignment.

00:04:40: Yeah But once you have a highly lethal unified team, they actually need to target.

00:04:46: Which leads us directly into how practitioners are fundamentally rethinking account selection and segmentation.

00:04:52: Right because alignment is completely useless if your both running perfectly synchronized sprint in the wrong direction.

00:04:57: Exactly.

00:04:58: And this where Luca Senatori's concept of The Dream Fifty comes into play.

00:05:02: We need move past that cliche fishing with spear instead of net.

00:05:06: Luca talking about building just fifty companies

00:05:09: Just fifty Right, not a massive total addressable market of ten thousand logos but fifty specific companies.

00:05:16: you would absolutely bleed to win.

00:05:18: He cited the Moms and Papas account as his prime example

00:05:21: And that's the one.

00:05:21: took twenty seven highly relevant touch points right?

00:05:24: Yeah

00:05:24: Spread over three entire years To finally close

00:05:27: The mechanism behind this three year cycle is what Luca calls engineering inevitability.

00:05:32: It isn't about capturing a quick click on all white paper.

00:05:36: It is about shifting the market's perception so methodically that by the time The Target Company actually releases a brief or an RFP, you are the only logical choice.

00:05:46: You have essentially been silently consulting them shaping their worldview for years.

00:05:50: That concept of engineering inevitability Is incredibly powerful.

00:05:55: But Let's look at this survival mechanics Of A Modern Marketing Leader For Second.

00:06:00: Okay If you walk into your CFOs office and say Hey, I need half our budget for a strategy that will pay off in exactly three years.

00:06:07: You are going to get fired!

00:06:09: Oh absolutely hand it cardboard box immediately

00:06:11: Right.

00:06:11: so how do you actually prove the model works?

00:06:14: Before the CFO pulls the plug at month six?

00:06:17: That is the ultimate pragmatic hurdle and Mason Cosby addressed it directly with a brilliant survival tactic.

00:06:23: He argues that you absolutely cannot start A new ABM program on cold accounts.

00:06:29: Okay So where do you start?

00:06:30: Well If you want to survive long enough to hunt the Dream-Fifty, You have start with accounts that already have deep context.

00:06:37: Meaning accounts who know exactly who are?

00:06:39: Yes!

00:06:40: you go to close loss deals where the timing was just wrong, but their relationship is good.

00:06:46: You go your active pipeline.

00:06:48: were marketing can apply ABM tactics to accelerate deal velocity... Oh that

00:06:52: makes sense!

00:06:53: ...or current clients who are ripe for cross-selling and expansion.

00:06:57: Prove models ROI get quick wins on board use revenue buy yourself runaway.

00:07:03: after cold multiyear targets

00:07:05: it's purely about funding survival.

00:07:08: once do have runway How do you pick those cold targets without just guessing?

00:07:13: Jay Gorga shared an interview with Fabiana Carpio Brunetti at NetApp.

00:07:17: that completely flips the standard targeting playbook on its head.

00:07:20: And if a standard playbook is usually someone picks a revenue goal, they scrape a massive firmographic list based on company size and industry.

00:07:29: They ask sales for a wishlist and they tell marketing to go activate.

00:07:32: Yeah it's entirely subjective

00:07:34: Exactly.

00:07:35: But Fabiana approach in netapp is strictly data first

00:07:39: Right.

00:07:39: They completely refused to be a lead factory, choosing instead of being growth multiplier.

00:07:44: Instead of guessing they look at pipeline momentum and propensity data.

00:07:49: They looked for companies showing mathematical signs of motion in the market.

00:07:52: build target list purely from those quantitative signals And then take it into sales team to validate.

00:07:58: When you combine that level of data first targeting with hyper specific segmentation The results are just staggering.

00:08:06: Kerry Kokokoglu shared a playbook where he built a Fortune-Five Hundred ABM program from zero to two point.

00:08:13: five million dollars in qualified pipeline, In just eight months.

00:08:17: Wow!

00:08:18: The mechanics of Kerry's success are fascinating because it wasn't about grouping accounts by industry.

00:08:25: They used the tiering model but they split their intent clusters based on exact keyword phrases that buying committee was researching

00:08:34: Right.

00:08:34: So if one cluster of accounts was searching for CSAT improvement, meaning they're actively researching how to boost their customer satisfaction scores.

00:08:41: They received a completely different messaging track than accounts searching for cost reduction

00:08:46: because by aligning the messaging strictly They weren't just personalizing the company name in an email, they were personalizing a business case.

00:08:57: And that instantly doubled their conversion

00:08:58: rates.".

00:08:59: But the most counterintuitive move Kerry made to get those numbers — he completely ungated all of their topofunnel content...

00:09:06: Which is terrifying for traditional demand-gen marketers because you lose that immediate e-mail

00:09:11: capture!

00:09:11: Exactly.

00:09:12: but let's look at why ungating works so well on an ABM context….

00:09:16: By removing friction from mandatory form fill buyers can consume three four or five heavy pieces of your content in a single session.

00:09:25: Yeah, that makes a lot sense!

00:09:27: That frictionless binge reading behavior is actually a far stronger mathematical indicator of true buying intent than someone reluctantly giving you a fake email address just to download one PDF.

00:09:39: Ungaining their content increased their reach by seventy percent simply because they stopped treating their own best insights like hostages

00:09:46: And that binge reading behavior is the perfect bridge into how practitioners are fundamentally rethinking.

00:09:51: The way we read buying signals, because you have your aligned team and you have Your highly segmented target list.

00:09:57: but the hardest variable in enterprise sales Is timing.

00:10:01: yet?

00:10:01: Timing as everything.

00:10:02: Brendan Redlinger argued recently That traditional ABM relying on static lists and basic intent data is entirely broken.

00:10:09: He noted that signal-based go to market is the winning formula now.

00:10:13: It requires personalization, relevance and absolute perfect timing.

00:10:19: But nailing that timing is incredibly difficult because of where the most valuable signals actually live.

00:10:25: Steve Armenti introduced a concept.

00:10:27: it should be massive wake-up call for anyone relying on standard marketing software...and that's darksignals!

00:10:35: It's a critical concept.

00:10:36: Traditional intent data, like tracking an IP address that visits your pricing page or downloads a syndicated white paper that only captures about forty percent of the actual buying motion right?

00:10:46: The other sixty-percent happens completely in the dark.

00:10:49: Let me put an analogy to this because Dark Signals sounds a bit like a buzzword until you look at the mechanics.

00:10:54: Relying on traditional intent data is like relying on highway billboard to know where car is driving.

00:11:00: Okay I liked it.

00:11:01: A website visit just tells they drove past your bill board.

00:11:04: A dark signal is like tapping directly into the car's GPS.

00:11:07: Dark

00:11:27: signals show urgency.

00:11:31: Huge difference.

00:11:31: A website visit means they are casually researching a category Complaining in a peer-to-peer community, it means that they're frustrated Actively evaluating alternatives and ready to buy.

00:11:42: right now.

00:11:43: If you miss the dark signals You missed the urgency.

00:11:46: And we miss them because too many teams Are still waiting for buyers To come us fill out a contact us form.

00:11:52: Julie Doar pointed at The reality of modern procurement.

00:11:55: The technical lead is in one room reading your API documentation, the CFO isn't another room reading case studies on ROI and end user watching product demos.

00:12:07: You cannot look at a single leads activity anymore!

00:12:11: You have to zoom out and analyze all groups' research patterns across different topic clusters.

00:12:20: I'm Prakash Kharupan and issued a great warning here.

00:12:28: Clicks do not equal pipeline.

00:12:30: if you detect the dark signal that an account is vendor unaware, meaning they know dense, fifteen-page implementation guide.

00:12:40: You look desperate and completely out of touch.

00:12:43: Conversely if the account is deep in the weeds building a granular business case for their finance team?

00:12:49: And you send them high level fluffy thought leadership piece about The Future Of BtoB...you actively destroy your internal champion's credibility with their boss!

00:12:56: Yeah that's

00:12:57: the worst….

00:12:57: You have to precisely match asset to micro stage of buying committee.

00:13:02: So how do you navigate early stage?

00:13:04: gracefully when You know they're researching, but they haven't raised their hand.

00:13:10: Andre Zinkovich shared a brilliant tactic his team uses called account love

00:13:14: letters."

00:13:15: Oh this is a master class in human psychology.

00:13:18: instead of sending a cold pitch His team uses there account research to write highly thoughtful LinkedIn posts that publicly feature their target accounts.

00:13:27: They will highlight our recent strategic move.

00:13:30: the company made praise a brilliant new executive hire or break down why their recent funding round was so smart?

00:13:37: It completely flips the dynamic.

00:13:39: You are initiating a dialogue and creating natural awareness by celebrating their success in public.

00:13:45: Human reciprocity kicks-in, they're executives naturally comment and engage with the post And you've started a relationship without ever sending yourself serving pitch.

00:13:52: But we have to pause and look at this sheer operational weight of everything We just discussed.

00:13:57: Oh yeah it's a lot

00:13:58: tracking dark signals in private Slack communities, mapping the topic clusters of a seven-person buying committee writing custom public love letters for fifty different accounts.

00:14:09: The natural question for any stress marketing leader is why can't I just use AI to do all this?

00:14:15: And the short, terrifying answer is that AI can do an alarming amount of it.

00:14:19: Jan Rasmussen ran a wild experiment recently using Claude code to prove exactly how fast this technology's moving.

00:14:26: Let's walk through the mechanics of what he actually built.

00:14:28: Okay so in a single session He prompted the AI to define a highly specific market segment.

00:14:34: The AI then autonomously discovered over three hundred target companies That fit criteria.

00:14:38: and here where magic trick happens.

00:14:41: Instead relying on rigid CRM rules he had the AI write a custom Python scoring script.

00:14:46: Wow!

00:14:47: Yeah, this script dynamically weighted variables like recent hiring surges or specific text-act deployments to aggressively tier those three hundred companies.

00:14:55: The AI then enriched all contact data through third party providers and pushed a fully prioritized scored pipeline directly into his CRM

00:15:03: From a completely blank slate to a fully scored enterprise hit list in one sitting, the sheer velocity of that workflow is just incredible.

00:15:12: It's super power but it also has massive hazard if used incorrectly.

00:15:18: The Nita Makija immediately raised a crucial red flag about this exact capability.

00:15:23: She argued most ABM teams do not actually have an AI problem.

00:15:27: they had sequence problems.

00:15:28: By sequence problems she means Teams are skipping the foundational work.

00:15:33: They haven't fixed their sales alignment, they haven't refined their core messaging and they have built a unique point of view.

00:15:39: right?

00:15:39: Just take there broken generic marketing strategy.

00:15:42: plug it into hyper fast AI engine

00:15:44: Exactly if your value proposition is weak.

00:15:47: feeding in to a Python script doesn't generate more pipeline.

00:15:50: It just weaponizes.

00:15:51: you're bad marketing.

00:15:52: Yeah You generate spam faster And burn through entire total addressable market In fraction that time used

00:15:59: Enough.

00:15:59: Pakanadi took this a step further, pointing out the ultimate limitation of technology.

00:16:03: He noted that AI is brilliant at automating outbound logistics but it cannot automate an actual experience.

00:16:10: he advocates for shifting our mindset from account-based marketing to account based experience.

00:16:15: ABX

00:16:16: That's the defining line.

00:16:18: You can automate a Python scoring script But you absolutely CANNOT automate and intimate CXO dinner.

00:16:24: Definitely not.

00:16:25: You cannot automate a peer-to-peer roundtable where buyers build genuine trust with each other, you can't automate a collaborative podcast when you invite a target account to cocreate content with you?

00:16:36: AI can do the digital spray but it cannot deliver high touch human experience in which enterprise deals are actually closed.

00:16:42: So if IIS shouldn't be used just spam people faster and i cant run at dinner party.

00:16:47: what is its actual strategic role?

00:16:50: Julesia Noskova gave us the defining framework for this when she introduced the concept of context debt.

00:16:55: Context debt unpacked the mechanics of that force because it perfectly describes daily friction every BDR faces.

00:17:02: Contex debt is a gap between a system capturing signal, say an executive asking question in Reddit forum and human being having complete nuanced picture required to act on it intelligently Okay.

00:17:15: Historically, a BDR would see an intense spike and then they'd have to spend two hours researching the company's recent press releases hunting down right stakeholders on LinkedIn trying to draft relevant email

00:17:27: And by time that finished their research project The buyer has already solved this problem or signed with competitor.

00:17:34: The window of opportunity simply closes

00:17:36: Precisely.

00:17:37: Isaiah Vizcocho from Glean pointed out that modern AI agents are now solving this exact problem.

00:17:43: They're moving way beyond basic data scraping, they instantly synthesize disparate dark signals into person-level contexts.

00:17:49: So instead of just handing a sales rep a raw alert That says account X visited the website yeah The AI pays off the context debt.

00:17:57: Instantly it hands the rep a unified brief.

00:18:00: here's the dark signal.

00:18:02: Here's the exact person who triggered it.

00:18:04: Here is how their research ties to their company Q three earnings report.

00:18:08: and here Is the exact strategic play you should run right now?

00:18:13: It completely closes The gap between the raw data point, and the intelligent human action

00:18:18: which clears the operational debris.

00:18:19: so the Human can focus entirely on executing that account-based experience Enoch talked about.

00:18:25: You spend zero time researching an all your Time building a relationship.

00:18:30: If we look at the entire arc of The Insight shared in calendar weeks, sixteen to seventeen from Tom Barnes and Svetlana Lykareva demanding structural alignment.

00:18:38: To Lukas Senator and Kerry Kokoglu insisting on data first precision and keyword clusters all the way using AI instantly clear context debt it is clear that ABM no longer just a targeted ad campaign.

00:18:50: No not at all.

00:18:51: It requires level.

00:18:52: organizational orchestration fundamentally changes how a company operates.

00:18:55: And That reality leaves us with final provocative thought for you to mull over.

00:19:00: As AI continues to instantly bridge the gap between complex dark signals and personalized action.

00:19:06: And as B-to-B buying committees become entirely consensus driven, will we even need the term account based marketing in five years?

00:19:13: If this level of precision alignment and signal reading becomes the absolute baseline requirement just to survive on market it won't be a special tactic called ABM anymore.

00:19:22: It'll simply be standard definition how B-To-B Marketing works.

00:19:26: If you enjoyed this episode, new episodes drop every two weeks.

00:19:29: Also check out our other editions on field marketing channel and partner marketing AI in B to be more tech go-to market and social selling.

00:19:37: thank You so much for joining us On This.

00:19:38: deep dive into the realities of modern btb growth.

00:19:41: take a second To hit subscribe.

00:19:42: share these insights with your VP of sales And we will catch you next time.