Best of Linkedin: Account-based Marketing CW 30/ 31

00:00:00: Provided by Thomas Allgaier and Frennus, based on the most relevant LinkedIn posts about account-based marketing in calendar weeks thirty and thirty one.

00:00:09: Frenness is a B to B market research company working with enterprises to optimize their campaigns with Account & Executive Insights far beyond AI.

00:00:18: Right, and we are directing this conversation squarely at you the strategic B-to-B marketer.

00:00:23: Today's deep dive is laser focused on the top ABM trends buzzing across LinkedIn right now.

00:00:28: Yeah no fluff today just actionable intelligence.

00:00:31: Exactly I mean We've got a lot of ground to cover.

00:00:33: We do And our mission today Is basically clustering these insights into four core themes.

00:00:38: So look where ABM breaking down Where AI stepping in to fix it And uh...where human creativity still the ultimate differentiator.

00:00:47: So before we get into the shiny new AI tools, We really have to look at why so many heavily funded ABM programs are failing.

00:00:53: Right

00:00:53: it's a huge issue right now

00:00:54: It is and the consensus from The Practitioner Insights as pre-clear tooling Is moving way faster than organizational readiness.

00:01:00: Okay see you mean BDB companies Are buying complex platforms Before they even know what their strategy is Basically.

00:01:06: yeah Sarah McNamara points this out perfectly.

00:01:08: She sees teams investing six figures Into these massive platforms Only to realize that You Know Tools are not a strategy.

00:01:16: Right, and tool just scales whatever process you already have.

00:01:19: Exactly!

00:01:20: If the process is broken You're just scaling chaos.

00:01:23: She actually advises running manual tactics first Just to iron out the process before you buy the software.

00:01:29: That makes total sense.

00:01:30: Evan Goldberg expands on this too.

00:01:32: He notes that Just naming a list of target accounts and handing to marketing.

00:01:36: That is not ABM.

00:01:37: No,

00:01:37: Not at all.

00:01:38: Real ABM functions as a company wide go-to market operating model.

00:01:42: It's not just a siloed marketing campaign.

00:01:44: Kittren Markwart echoes this perfectly.

00:01:46: She distinguishes between what she calls fake ABM And real ABM.

00:01:51: Okay wait What Is Fake ABM?

00:01:53: So fake ABMs when you have lots Of Marketing Activity Clicks Opens Engagement But no actual account transformation.

00:02:01: Ah so Vanity Metrics

00:02:03: Basically, whereas real ABM is when the whole business actually owns.

00:02:07: The account growth it's not just marketing operating in a vacuum.

00:02:10: It's almost like buying a formula one car before you even know how to drive A stick shift.

00:02:14: that

00:02:16: Is this.

00:02:16: why Sylvia Perez'?

00:02:18: Playbook yeah insists on aligning with sales support and leadership before picking a single intense signal.

00:02:26: Exactly, I mean if sales isn't involved from day one it's just targeted awareness its not ABM.

00:02:31: you have to build that alignment first.

00:02:33: So assuming you've done the hard work right?

00:02:36: The strategy is set.

00:02:37: once foundation has laid How do you scale it?

00:02:40: Well, that's where the production ceiling is currently being shattered by AI agents.

00:02:44: We're moving past basic automation and getting into autonomous agents.

00:02:47: Right because AI is collapsing costs That used to make one-to-one ABM viable only for those massive enterprise deals.

00:02:55: Exactly The capability shift Is just wild It

00:02:58: really is.

00:02:58: Ivan Falco demonstrated this beautifully.

00:03:00: He built One Point One LinkedIn campaigns live using Claude code.

00:03:04: Oh I saw that!

00:03:05: It was crazy.

00:03:07: The AI generated personalized landing pages, the creative...the ad sets for over two hundred accounts in a single run.

00:03:13: And he didn't even open campaign manager did he?

00:03:16: Nope

00:03:17: never opened it all from the terminal.

00:03:18: That's insane

00:03:19: and you know its happening.

00:03:20: research too

00:03:21: Really How so?

00:03:22: Well,

00:03:23: Caroline A built a web app using three sequenced AI agents.

00:03:27: So she's got a signal hunter, a stakeholder mapper and narrative builder.

00:03:32: Wait!

00:03:32: Three different agents working

00:03:33: together?!

00:03:34: Yeah

00:03:34: And they automate roughly seventy percent of campaign brief research.

00:03:39: The signal hunter finds the trigger...the mapper finds the buying committee..and the builder writes the proof.

00:03:44: That is, I mean that it's just wild.

00:03:46: And the wildest part Tiffany Fennell-Texador proved you don't even need to be an engineer to build these agentic workflows.

00:03:52: Oh

00:03:52: really?

00:03:52: No coding required

00:03:54: None.

00:03:54: She a non technical marketer.

00:03:56: she connecting signals and research right now using no code visual builders.

00:04:00: That democratizes whole thing.

00:04:01: It

00:04:02: really does.

00:04:03: oh by the way if your finding this practitioner insights useful make sure you subscribe.

00:04:07: so catch all our future deep dies.

00:04:09: Definitely subscribe, but here is the ironic bottleneck with all this AI speed.

00:04:14: Abhishek C pointed this out... What's

00:04:16: the bottleneck?

00:04:17: Well,

00:04:18: AI has compressed execution from months to weeks right or even minutes But organizational approval processes haven't sped up at all.

00:04:26: Oh well I can totally see that

00:04:28: Right.

00:04:28: The whole transformation gets stuck waiting for a PowerPoint deck To be approved by leadership.

00:04:33: So we have twenty-twenty six technology trapped inside twenty fourteen corporate bureaucracy.

00:04:38: Exactly,

00:04:39: it's an institutional courage problem not a tech problem.

00:04:42: that is fascinating.

00:04:43: but I mean scaling execution with AI Totally useless if you're targeting the wrong account.

00:04:48: Oh, one hundred percent.

00:04:50: The intelligence feeding these campaigns has to evolve from static lists To living data.

00:04:54: because right now we are drowning in intense signals but they're failing Because a lack context.

00:04:59: Debra Shishji explains this really well.

00:05:01: he says that intent signals only show symptoms.

00:05:05: Symptoms like a surgeon phenops research.

00:05:07: exactly

00:05:08: That's a symptom But it doesn't show the condition.

00:05:10: the condition might be margin issues or boardroom mandates to cut costs.

00:05:16: So if you just treat the symptom with a generic pitch,

00:05:18: You lose.

00:05:19: Right!

00:05:19: You need practitioner judgment to translate those raw signals into reality.

00:05:24: And that leads right in the systems we use.

00:05:26: A.G.

00:05:27: Vigivergia makes a brilliant point about CRMs.

00:05:30: Oh... About how they handle buying groups.

00:05:32: Yeah Like a sales force label That says Decision Maker It's static it decays The second you save it.

00:05:39: It

00:05:39: really does People change jobs or They loose influence

00:05:41: Exactly.

00:05:42: But a Buying Group is a living picture of who was fading and who just appeared.

00:05:48: CRMs weren't built to map Living Buying Groups,

00:05:51: which?

00:05:51: exactly why Trinity and Guyan's analysis of User Gems AI account scoring is so striking!

00:05:56: What did they find?

00:05:57: Well first found that A tier accounts opened forty-one times more opportunities than D Tier Accounts.

00:06:03: Okay huge gap.

00:06:04: Huge gap.

00:06:05: but in their test passive AI scoring model actually beat the actively targeted manual list.

00:06:11: Wait

00:06:11: really?!

00:06:12: Passive algorithm beat human reps picking accounts.

00:06:14: It did, it generated more pipeline because humans just can't track that many dynamic data points in real time.

00:06:20: So if the CRM can't handle this dynamic data where does it live?

00:06:24: That's a big question.

00:06:26: Well Scott King argues This is why customer data platforms or CDPs are becoming The new mission critical context layer for ABM

00:06:35: Right rather than just being optional infrastructure for the IT team.

00:06:38: Exactly, you need an event-driven engine to handle real time behavioral streams.

00:06:42: But if every competitor now has access to the exact same AI agents and they all have the same intent data in CDPs how do actually stand out?

00:06:52: That is a million dollar question.

00:06:54: The

00:06:54: answer is shifting back into physical and profoundly human.

00:06:58: As AI makes personalized digital content abundant, authentic human communication is emerging as the true competitive advantage.

00:07:06: I mean Eve Chan warns about this.

00:07:08: she says buyers are now comparing your message against dozens of remarkably similar AI-assisted messages.

00:07:13: It's

00:07:13: just a sea of perfect boring email

00:07:16: Exactly!

00:07:17: Richard F. Purcell proved how to break through that stuff.

00:07:19: Oh

00:07:19: The Cookie Campaign...I love this one

00:07:21: So good.

00:07:22: After getting zero replies from emails to thirty CFOs his team completely pivoted.

00:07:27: What did they do?

00:07:28: They hand-delivered custom ruby snaps cookies to eleven accounts in Salt Lake City.

00:07:32: And it works!

00:07:33: It yielded a thirty six percent conversion rate

00:07:36: From zero to thirty six per cent just by showing up physically.

00:07:40: Yep,

00:07:40: because its'a costly signal and AI can't hand-deliver baked goods.

00:07:45: Ellie Jamison Lanning did something similar, actually.

00:07:47: Oh the battle kits?

00:07:48: Yeah

00:07:49: she replaced commodity swag with custom paddle kits for even to start conversations with high value technical leaders which

00:07:56: is brilliant because engineers hate Standard marketing fluff.

00:08:00: Exactly, but it doesn't even have to be expensive physical gifts.

00:08:04: Mason Cosby highlighted an approach using thirty-to-forty second rip recorded videos

00:08:08: just embedded on landing pages.

00:08:10: yeah

00:08:11: zero design cycles imperfect lighting But highly personal.

00:08:14: It just proves a real human is paying attention.

00:08:17: so AI can build the megaphone by humans still has to write this song.

00:08:20: that

00:08:21: Is a perfect way to summarize it.

00:08:22: Declan Mulkein proved This By Using A pint of Guinness as a visual metaphor for ABM.

00:08:28: A

00:08:28: pint of Guinness?

00:08:29: Yeah, he said.

00:08:30: the one-to-one ABM is cream at top and stout underneath your broader demand gen supporting it.

00:08:36: Oh!

00:08:36: I like that.

00:08:37: He republished the exact same image three months later And drove massive engagement in sales calls

00:08:43: Because striking visual metaphors something an LLM just can't authentically invent.

00:08:47: It requires cultural context

00:08:49: Exactly real lived experience.

00:08:52: Well, this has been an incredible deep dive.

00:08:55: It really is!

00:08:55: If you enjoyed the episode new episodes drop every two weeks.

00:08:59: 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.

00:09:07: And just leave with a final provocative thought building on Marissa Decay's insight about shift toward agent based marketing.

00:09:14: This was great point.

00:09:16: If AI agents are increasingly evaluating and pre-qualifying vendors before a human buyer ever sees your brand, how do you market to an algorithm that doesn't eat cookies, play pedale or appreciate good Guinness

00:09:34: metaphor?