Best of LinkedIn: Account-based Marketing CW 08/ 09

00:00:00: provided by Thomas Allgaier and Frennus, based on the most relevant posts on LinkedIn about account-based marketing in CW eight nine.

00:00:08: Frenness is a B to be market research company working with enterprises to optimize their campaigns with account an executive insights far beyond AI.

00:00:17: this edition is brought you buy our partners btb marketing and spot vision btB marketing agency.

00:00:23: don't miss there.

00:00:23: conference The European ABM forum On twenty six March.

00:00:31: So with that official welcome out of the way, let's jump straight into what we're doing today.

00:00:36: Yeah!

00:00:36: Let's do it.

00:00:37: We are dedicating this entire deep dive to the absolute most critical account-based marketing trends that we've seen surfacing across LinkedIn over the last two weeks.

00:00:44: Specifically calendar week.

00:00:46: eight and nine

00:00:46: Right...of twenty-twenty six.

00:00:48: And there is a lot ground cover.

00:00:49: There really is.

00:00:50: And if you joining us today we are framing our conversation as fast paced high value masterclass specifically for YOU

00:00:57: Yeah, for the B-to-B marketing professional who frankly just wants to cut through all of noise.

00:01:01: Exactly!

00:01:02: We are completely bypassing basic definitions.

00:01:05: here.

00:01:05: we're going look exactly at how best teams are executing ABM right now in the trenches.

00:01:10: no fluff

00:01:12: And keep things actionable.

00:01:14: uh...we've synthesized these community insights into three core themes.

00:01:18: First will look at ABM as your Core Go To Market operating

00:01:22: model which is huge

00:01:23: It is.

00:01:24: Second, we'll dive into signal-driven and intent led execution And finally will explore AI as a structural enabler.

00:01:31: Yeah

00:01:32: rather than just some lazy shortcut.

00:01:33: Exactly

00:01:34: Okay.

00:01:34: let's unpack this with our first theme ABM As the core GTM operating model.

00:01:39: because um What's incredibly clear from the recent discussions is that ADM is absolutely no longer just this temporary campaign tactic.

00:01:48: you run for a quarter.

00:01:48: Right, and then abandon it when it gets hard?

00:01:50: Exactly!

00:01:51: Davis Potter made a really compelling point recently...that ADM and broad demand generation have essentially converged.

00:01:58: It has

00:01:59: now become your baseline account investment strategy.

00:02:01: The most successful organizations out there aren't keeping ABM in a silo anymore.

00:02:06: No, they're actually reintegrating their standalone ABM teams back into their broader demand gen and regional marketing teams.

00:02:14: To deploy those principles across the board!

00:02:16: Which is a fundamental shift in how we think about marketing budgets really.

00:02:22: He threw out what might be a hot take for some

00:02:24: reason.

00:02:24: Oh yeah, his post definitely stirred things up.

00:02:26: it did.

00:02:27: he argues that ABM actually isn't innovative at all.

00:02:31: right.

00:02:31: It's simply how marketing should have always worked.

00:02:34: I mean For years.

00:02:36: BWT teams ran these massive Untargeted spray and pray campaigns

00:02:41: they'd celebrate like a two percent conversion rate

00:02:43: Exactly, completely ignoring the fact that they were essentially training the other ninety-eight percent of their market to just ignore their email.

00:02:50: To

00:02:50: send them straight to spam?

00:02:52: Right!

00:02:52: So the directive he highlighted is stop running isolated campaigns and start orchestrating continuous experiences for accounts actually matter.

00:03:00: But

00:03:00: orchestrating those experience seems be where things completely fall apart from most companies

00:03:05: For sure

00:03:06: Like what happens when marketing & sales aren't on same page about who those account even are.

00:03:12: Then the whole model collapses.

00:03:14: Getia Nunes pointed this out clearly, she noted that ABM doesn't fail because you bought the wrong software

00:03:20: or Because You lack The right intent tools?

00:03:22: Right it fails because marketing and sales aren't aligned on what they're measuring

00:03:27: And What happens after a prospect actually engages

00:03:29: precisely.

00:03:30: And Brent Keltner broke down how to fix this disconnect by sharing a really smart strategy from Caitlin Cricko.

00:03:37: She argues that ABM only works when sales and marketing launch together simultaneously, meaning

00:03:44: you know, spike engagement handover spreadsheet of leads and wash their hands.

00:03:48: Exactly they have to start with a shared ABM brief before a single ad dollar is spent.

00:03:53: target accounts specific segments share goals all that has been mapped out in actual revenue terms.

00:03:59: it can't just be about generating MQLs.

00:04:01: no because those basic marketing qualified leads look great on the market dashboard but never actually convert pipeline for sales

00:04:09: right there.

00:04:10: vanity metrics

00:04:11: yeah.

00:04:12: And instead of creating static buyer personas, Caitlin's strategy requires teams to turn those personas into actual value pathways.

00:04:19: Value Pathways right?

00:04:20: For

00:04:21: every single role in the buying committee you align on their specific business problem The outcome you provide and the proof points You'll use.

00:04:29: so when the sales rep eventually reaches out there

00:04:31: seamlessly continuing the exact narrative that marketing already started exactly

00:04:35: It's one continuous conversation.

00:04:37: I want a pause on that disconnect between marketing and sales for a second because it feels like an age-old problem.

00:04:43: Like, why is so incredibly hard for teams to just share a goal?

00:04:47: What's

00:04:47: fascinating here is how Enrico Brozio diagnosed the root cause of this alignment issue.

00:04:52: He calls it The GTM Reset.

00:04:54: Okay he points out that twenty years ago before all the massive tech stacks BtoB sales was inherently account centric.

00:05:01: Sure rep research at company picked up phone and built relationships.

00:05:04: Right.

00:05:05: But then modern marketing automation platforms came along and they were fundamentally built around the lead object,

00:05:16: trained us to look at individuals instead of the whole company.

00:05:19: Exactly, The underlying architecture of these CRM systems forced teams to optimize for what the software could easily measure

00:05:26: which was individual leads.

00:05:28: yeah

00:05:28: so today.

00:05:29: the B-to-B sales crisis stems directly from that legacy.

00:05:33: lead centric CRM architecture companies have spent millions bolting modern intent platforms onto their old CRMs.

00:05:41: Without actually changing the underlying data model

00:05:44: or The incentive structures.

00:05:46: Enrico argues you have to change the incentive structure first.

00:05:49: You have to move away from compensating teams just for the volume of leads created Or an account-centric approach will never actually stick.

00:05:56: Wow, so if you're listening to this and you want to fix that foundation Let's say you want a completely changed your ideal customer profile Your ICP to focus only on high value accounts.

00:06:06: How painful of a transition is that?

00:06:08: If you aren't prepared, it's brutal.

00:06:11: Nick Turner offered a stark reality check for anyone thinking about changing their ICP...

00:06:15: It's not quick fix!

00:06:16: No he warned.

00:06:17: updating your target customer isn't just a messaging tweak to hand-to-marketing on Friday afternoon—it was full business reset.

00:06:25: What does the timeline actually look like in reality?

00:06:27: He stressed that a real IP transition takes six or twelve months and painted very realistic picture.

00:06:34: Your pipeline will actually look perfectly fine at first because it's still full of old ICP deals.

00:06:40: Right!

00:06:40: But most those deals will quietly die within sixty days, Because they no longer fit your products direction.

00:06:46: Meanwhile...your marketing team is scrambling to rebuild messaging for a new buyer.

00:06:50: They barely understand.

00:06:52: yet

00:06:52: That sounds incredibly stressful.

00:06:54: It IS!

00:06:54: It requires realistic timeline Honest expectations and every single teen leader in the room before the decision is even made.

00:07:01: But

00:07:01: do we have any proof that doing this hard foundational work actually pays off when things go wrong?

00:07:08: Like, does it save deals?

00:07:09: We do!

00:07:10: Venita Makyaja shared a brilliant story about this.

00:07:12: she was talking about a major global capability center deal...a GCC Deal.

00:07:17: Okay so a massive enterprise building an offshore corporate hub huge contract

00:07:22: Massive.

00:07:23: This talent solutions company was twelve months deep into negotiating this deal when their key champion, the main decision maker suddenly left The Company.

00:07:32: Oh

00:07:32: wow!

00:07:33: Usually if your internal Champion leaves that Deal is dead in water.

00:07:37: all the momentum Is just gone.

00:07:39: you'd think so and In a traditional sales model it absolutely is.

00:07:43: but this deal survived

00:07:45: really

00:07:45: yeah And It didn't survive because of A single charismatic Sales rep.

00:07:49: It survived because their ABM strategy had built genuine documented value across the entire buying committee.

00:07:55: Because they had mapped those value pathways we talked about earlier?

00:07:58: Exactly, so the narrative held strong even through a major stakeholder exit.

00:08:02: it proves that careful account selection isn't just a spreadsheet exercise.

00:08:06: its'a massive strategic bet that protects your revenue.

00:08:10: So if we accept that accounts election is a strategic bet The obvious next question is how do you actually know when to place that bet Right?

00:08:17: How do you know when an account is ready to buy before your competitors?

00:08:21: Which perfectly transitions us into our second theme signal driven and intent led execution.

00:08:27: Let's start with a major trap that a lot of teams fall in too.

00:08:30: here, David Fortino and Kaylee Edmondson highlighted the danger of relying on commoditized intent data

00:08:37: The stuff everyone buys.

00:08:38: Exactly!

00:08:39: Right now, there are countless vendors promising predictive signals but they're all essentially phishing from the exact same pond...

00:08:47: Meaning that their selling the same underlying data?

00:08:50: Yes They're scraping the same behavioral exhaust things like someone downloading a white paper or visiting software review site.

00:08:58: If you and all your competitors are buying the exact same data, And The only difference is that Your vendor has a slightly prettier user interface.

00:09:06: You have absolutely no real advantage.

00:09:08: None!

00:09:09: Your sales rep Is calling the prospect at the exact Same moment.

00:09:12: your competitor's rep is Calling them

00:09:14: Okay.

00:09:14: so if Buying the standard intent Data is a trap What's the alternative?

00:09:18: How Are the best teams Actually finding these hidden buyers?

00:09:21: This where teams are getting Incredibly creative.

00:09:24: Nicholas Sternberg has and Miguel Sosa shared a brilliant tactic using job postings as hidden buying signals.

00:09:31: Oh, they're smart!

00:09:32: Miguel explained that Job Posting often tell you exactly when the company is experiencing this specific problem your product solves.

00:09:39: Wait like trying to sell software for HR person posting the job?

00:09:43: No

00:09:44: not selling to HR Using public job description to diagnose companies internal chaos.

00:09:49: Nah I see.

00:09:51: If a target account is suddenly hiring project manager, that isn't just routine headcount growth.

00:09:56: As Nicholas pointed out it's very often a desperate signal of disorganized workflows.

00:10:01: So its disguised by-signal for workflow automation software.

00:10:04: Exactly!

00:10:05: Miguel actually automates this process using data enrichment tool called Clay.

00:10:10: He uses it to scrape his target accounts for specific job titles, which automatically triggers workflows to find the real decision maker.

00:10:17: Enrich their contact data and push it directly into a sales sequencer?

00:10:21: Yeah

00:10:21: seamlessly.

00:10:22: That is incredibly clever!

00:10:24: You are completely bypassing standard intent platforms.

00:10:27: just reading breadcrumbs they're leaving in public

00:10:29: And we're only scratching surface of what's possible there.

00:10:33: Ishaan Manchanda shared an observation from Divyanj Kultreshta that really puts us into perspective.

00:10:39: Most B-to-B teams track maybe eight to twelve standard and tenth signals.

00:10:44: The basic stuff, right?

00:10:45: But DeVionge actually documented a hundred twenty seven captureable signals across twenty different categories.

00:10:51: A hundred and twenty seven signals I have to imagine most teams are missing the vast majority of those.

00:10:56: they're missing ninety percent of the buying signals their target accounts are sending every single day.

00:11:02: We're talking about nuanced signals like a VP of data at a Target account liking your competitors LinkedIn post, or tracking a churned customer's chief technology officer who just started a new job in one of your target accounts... That

00:11:14: is such strong signal!

00:11:15: It

00:11:15: IS!

00:11:16: Or an engineering lead asking highly specific technical questions on open source forums like GitHub.

00:11:23: If you aren't catching those deeply contextual moments You were leaving massive pipeline.

00:11:28: But hold on, how is a team supposed to manage one hundred and twenty seven signals without drowning in notifications?

00:11:34: Like if I'm a sales rep.

00:11:36: And my slack is pinging a hundred times a day.

00:11:38: with every minor movement an account makes

00:11:41: you're just going mute the channel

00:11:42: exactly.

00:11:43: i'm gonna mute it ignore.

00:11:44: That is the exact problem Katie Pinner from Influtu brought up.

00:11:48: She leads sales development there, and they source eighty percent of their pipeline from their own proprietary signals.

00:11:54: Okay so I know what you're doing.

00:11:55: Definitely.

00:11:56: Her biggest insight Is that intent at the account level is just noise if You don't have person-level visibility Because

00:12:04: At the end Of The Day A company logo doesn't sign a contract A person does.

00:12:08: Exactly!

00:12:09: If your ABM platform just flashes a red light and says ACME Corp is showing high intent, Your sales team ends up calling into the dark guessing who to talk to...

00:12:18: Which is super inefficient.

00:12:19: Katie argues you need see the specifics.

00:12:23: You need know that VP of marketing at ACME Core Is engaging with pricing page while director at same account is actively searching competitors terms And

00:12:31: a new hire posted about this specific topic publicly.

00:12:35: Right When you know exactly who is moving and what they care about, the outreach isn't a cold pitch.

00:12:41: It's a highly contextual conversation.

00:12:43: Speaking of cold pitches are all these signals usually coming from completely cold net new accounts?

00:12:49: Not at all!

00:12:50: And that's huge blind spot.

00:12:52: Tyler Place revealed a surprising twist regarding where the highest intent actually

00:12:56: lives.

00:12:57: Where is it?

00:12:58: Well, he noted that many teams spend ninety percent of their energy and budget chasing completely cold accounts.

00:13:04: Meanwhile they're warmest.

00:13:06: highest-intent prospects are sitting right in there CRM Completely ignored

00:13:10: simply because they're labeled closed loss.

00:13:12: yes

00:13:13: Wow.

00:13:14: So they evaluated the product didn't buy for whatever reason and marketing just never looks at them again.

00:13:20: Pretty much.

00:13:20: These are accounts that already raised their hand, sat through a demo and shared their real raw business pain with your sales team.

00:13:26: Maybe

00:13:26: the timing was wrong or budget got frozen?

00:13:29: Exactly!

00:13:29: Tyler actually built a seven-figure ABM pipeline simply by flipping that standard assumption and prioritizing those overlooked previously engaged accounts when they started showing new signals.

00:13:40: Here's where it gets really interesting though.

00:13:42: Let's say you do all of this perfectly.

00:13:44: You monitor the job boards, you capture the hidden signals...you know exactly who that person is!

00:13:48: Right Josh Weill building on some great insights from Yulia Olenakova pointed out catching a signal was really just starting gun.

00:13:57: The easy part almost Yeah.

00:13:59: Everyone in B-to-B is obsessed with getting more intent data and setting up triggers but there are shocking lack enthusiasm about what to actually do next.

00:14:09: The actual execution phase.

00:14:11: If you don't have a rigid playbook for what to do after the signal fires, who owns the next step?

00:14:16: What specific messaging should be.

00:14:18: What content is already approved and ready to run...

00:14:21: And that brilliant signal just becomes background noise!

00:14:23: Or

00:14:23: worse it turns into badly timed generic pitch from a rep who doesn't have context.

00:14:29: The corn for leaders can't just say Do we have enough signals?

00:14:32: It has been our exact protocol when

00:14:35: one arrives which naturally leads us into how teams are actually executing those protocols at scale.

00:14:41: And that brings us to our third and final theme, AI as a structural enabler not a shortcut

00:14:49: because this level of execution sounds incredibly manual right?

00:14:52: Yeah

00:14:53: without AI it would be.

00:14:54: AI is exactly what is allowing teams to build these complex playbooks without needing an army of researchers.

00:15:00: but there's a right way in the very wrong.

00:15:05: So we know what to avoid.

00:15:07: Ganesh Chittambalam, AS made it crystal clear AI shouldn't just be a glorified tool for advanced mail merge.

00:15:15: If you're using chat GPT to swap first name and company name in an email template You are completely missing the point.

00:15:21: Right, he argues.

00:15:22: that's not ABM personalization.

00:15:24: True ABM means every single touch point should feel like it was custom designed for the specific realities of that account.

00:15:30: Exactly.

00:15:31: He shared a great example with logistics client to prove this.

00:15:34: Yeah They didn't just change their names in an email.

00:15:37: they used AI to personalize ad creatives and landing pages For six thousand different accounts.

00:15:42: Six thousand?

00:15:43: That is incredible scale

00:15:44: And based on each account specific geographic region their unique shipping volume charges, and local regulatory requirements.

00:15:55: That level of bespoke relevance is the new bar for AI personalization.

00:16:00: It's about depth-of-insight not just the scale of outreach.

00:16:03: And John Peslar shared an incredible use case for achieving that depth.

00:16:07: during the research phase, he's been using the new chat GPT deep Research two point oh update but isn't typing in a prompt and letting it roam free across internet we all know usually leads to hallucinations and really generic summaries.

00:16:20: The classic AI problem garbage in garbage out.

00:16:22: so how does he constrain?

00:16:24: He uses what he calls editable research plans to force the AI to ignore the generic marketing noise on a company's website.

00:16:32: He fed the AI list of two hundred target accounts, but he strictly restricted it to scanning only their technical developer documentation and their quarterly earnings reports.

00:16:41: that is brilliant.

00:16:42: because Of those constraints It executed perfectly without hallucinating.

00:16:47: It mapped out competitor weaknesses, identified exactly where their SEO strategy was failing found customer complaints buried in forums

00:16:55: and even map the exact call to action placements on their landing pages.

00:16:59: Exactly it exported all of this into a clean Word document.

00:17:03: .It essentially replaces The entire Friday afternoon manual research grind for sales team.

00:17:09: I love that use case but That really covers the desk Research side.

00:17:13: What about the sales reps who are actually out in the physical world?

00:17:16: Right, The Field Reps.

00:17:17: Picture a field sales rep for a moment.

00:17:20: They're driving from industrial park to industrial Park visiting five or six different locations a day.

00:17:25: they Are definitely not pulling over on the side of highway tethering their laptop To Their Phone and logging into a CRM to check the latest marketing notes

00:17:33: Which means all of that rich, intent data and context we just talked about sits in a database completely unused by the person who actually needs it most.

00:17:43: Exactly!

00:17:44: So to solve this exact pain point, Tim or Tariq built A Voice AI Agent using Eleven Labs which is an advanced voice generation AI.

00:17:52: Okay

00:17:53: Now EREP can literally dial a phone number from their car's Bluetooth And say brief me on Geranium Core

00:17:59: Just like talking with someone?

00:18:01: Exactly Within seconds The AI pulls all the relevant data from their HubSpot CRM and delivers the account owner's name, status of open deals how many days it has been since the last touch point And specific talking points right over phone like human assistant.

00:18:16: That is

00:18:16: wild!

00:18:17: Even better.

00:18:18: after physical meeting is over Rep can just say Log a note that they are concerned about pricing or create a follow-up task for next Tuesday, and the AI writes it directly back into HubSpot.

00:18:30: It turns all that enriched data in to an invisible actionable tool for the

00:18:34: field.".

00:18:35: That is perfect example of AI removing friction from the process...and we're seeing removal of friction across the entire go-to market engineering stack.

00:18:42: Maja Vaja pointed out how incredibly fast this has become to build these systems….

00:18:47: She built an entire functional ABM program using SWAN AI in under ten minutes, using nothing but conversational chat prompts.

00:18:56: No coding required!

00:18:58: She didn't write any code.

00:18:59: she didn't need a senior developer...she just uploaded a target account list and used natural language to build a hiring signal monitor that automatically notifies her via Slack and drafts the personalized outreach message for her to approve.

00:19:12: And it scales through heavy lifting of content creation too.

00:19:16: Michelle Lim shared a brilliant case study about a healthcare AI company called Amigo.

00:19:21: I read about this one!

00:19:22: Yeah, they needed highly tailored landing pages for vertical specific campaign and need them urgently but completely lacked the internal design in engineering bandwidth to pull it off.

00:19:31: So what did you do?

00:19:33: By uploading their main website URL and a simple spreadsheet of target accounts into a tool called Flint AI, they generated three hundred forty-one highly personalized vertical specific ABM landing pages in just five minutes.

00:19:45: Three hundred

00:19:45: forty one pages in five minutes?

00:19:47: That is

00:19:47: insane!

00:19:48: that saved them roughly ten hours manual coding per page And it drove high quality inbound leads within twenty four hours launching.

00:19:55: If we connect all these examples to the bigger picture It really redefines what ABM looks like today.

00:20:01: Nick Bennett and Vincent Plastard, from user-led both touched on this synthesis beautifully.

00:20:06: Nick noted that the core philosophy of ABM was never actually broken.

00:20:10: It's just our execution that is broken

00:20:12: Exactly because it relied heavily on human guesswork And mind numbing manual research.

00:20:17: Right!

00:20:17: The concepts targeting high value accounts with personalized messages were always sound.

00:20:22: We didn't have hours in a day to do exactly.

00:20:25: And Vincent added the crucial caveat That ABM in Isn't about letting AI generate all your content so you can just click send-all and walk away?

00:20:34: No, that's entirely missing the point of velocity.

00:20:37: AI isn't fixing ABM by taking over the human element.

00:20:40: it's fixing up by removing the manual grind.

00:20:43: It allows your ABM motions to run at the exact same velocity as your buyer decision cycles.

00:20:48: So its a partnership.

00:20:49: Yeah, ABM is infinitely faster with AI but it only truly wins when humans remain in the loop constantly tightening that connection between a digital signal and the highly contextual human action that follows.

00:21:02: So what does this all mean for you listening right now?

00:21:05: We've covered a massive amount of ground.

00:21:07: today

00:21:07: we really have

00:21:08: from resetting your foundational go-to market operating model to finally align sales and marketing

00:21:16: of hidden buying signals your competitors are ignoring.

00:21:19: To deploying AI as a surgical tool to execute account-specific plays at the speed that was literally impossible even two years ago, it

00:21:27: leads poor ABM execution on a lack of sophisticated tools, a lack clean data or simply a lack human bandwidth to do the manual research required.

00:21:46: Which were all very valid excuses at that time.

00:21:49: They Were But today AI has completely solved infrastructure and scale problems.

00:21:54: Predictive intent data is everywhere.

00:21:56: The historical friction is gone

00:21:59: So there are no more excuses

00:22:01: Exactly.

00:22:02: With all those barriers removed, the only thing left that determines your success or failure is the actual quality of your narrative and the true cultural alignment between your teams.

00:22:11: If you're ABM strategy fails now it's a mindset problem not technology problems.

00:22:27: Thank you so much for joining us, this deep dive into the world of ABM.

00:22:30: Don't forget to subscribe and we will catch on in our next one!