Best of LinkedIn: Account-based Marketing CW 44/ 45

00:00:00: Provided by Thomas Allgaier and Frenos based on the most relevant LinkedIn posts about account-based marketing in calendar weeks, forty four and forty five.

00:00:09: Frenose is a B to B market research company working with enterprises to optimize their campaigns with account an executive.

00:00:15: insights far beyond

00:00:16: AI right.

00:00:17: so imagine finding out that I don't know.

00:00:20: ninety five percent of time you win a massive enterprise deal.

00:00:24: your customer actually secretly chosen You before they even sent there first email to you.

00:00:28: wait really?

00:00:30: Filled out a form?

00:00:30: Yeah, exactly.

00:00:31: Before they filled out a single form on your website.

00:00:34: that reality completely breaks the traditional marketing rulebook doesn't it?

00:00:37: Oh absolutely

00:00:39: What.

00:00:39: welcome to The Deep Dive.

00:00:40: we are unpacking the absolute top trends in account based marketing or ABM That is circulating across LinkedIn right now.

00:00:47: And our mission for this deep dive Is you know To really cut Right through the hype Because if You're listening to This and Your Looking at A Marketing Dashboard Full of Just Vanity Metrics You might want to take a deep

00:00:59: breath.

00:00:59: Seriously, it's time for reality check

00:01:02: right?

00:01:02: We are going to figure out what top tier go-to market teams Are actually doing in late twenty twenty six to win real enterprise deals.

00:01:10: So we're looking at strategy signals tactics and of course how AI is fundamentally changing the execution game.

00:01:17: It's a lot to cover but its so critical

00:01:19: right now.

00:01:20: Let's just unpack this.

00:01:21: We have to start with the massive strategic shift, because ABM is no longer a demand-gen tactic where you run like a few display ads for a target list of companies and call it today.

00:01:33: Oh yeah!

00:01:33: The days of treating ABM as another marketing campaign are completely over – I mean…it has matured into company wide operating model?

00:01:41: Right...not just silo anymore

00:01:43: Exactly.

00:01:44: We saw some brilliant insights out of the global AVM conference recently, Judith Shabo and Kate Philpott highlighted that ABM is fundamentally an organizational framework.

00:01:53: now

00:01:54: An organizational framework?

00:01:55: Right it demands absolute alignment between sales and marketing.

00:01:59: It just cannot function as a marketing silo anymore.

00:02:02: Its cross functional strategy forces entire business to put specific customer at center their operations.

00:02:09: Wait hold on.

00:02:11: If it's a company-wide framework now, that really challenges a lot of the old metrics.

00:02:16: marketing teams are used to being graded on.

00:02:18: Doesn't it?

00:02:19: Oh!

00:02:19: It completely breaks them

00:02:21: which brings us to a really provocative stance from Jake Charbonneau.

00:02:24: He is basically out there arguing that its time officially retire MQL The Marketing Qualified Lead.

00:02:30: Honestly Its about time.

00:02:31: someone said it

00:02:32: Right And when you look at mechanics how enterprise deals actually close today makes total sense.

00:02:37: I mean A lead Is not Demand.

00:02:40: Marketing's job absolutely does not end the second an email address gets handed over to sales.

00:02:44: No, no at all.

00:02:46: The entire concept of the MQL assumes this like neat linear buyer journey You know.

00:02:51: or someone reads a white paper ask for a demo and then just buys the software.

00:02:56: That just doesn't happen.

00:02:57: in the enterprise space

00:02:58: it doesn't happened at all.

00:03:00: And understand why the mql is failing so badly.

00:03:02: we have to look at how complex buying groups actually make decisions today.

00:03:06: Yeah that dark funnel stuff exactly.

00:03:09: Nick Mason brought up a fascinating concept from a classic study called creeping commitment

00:03:13: Creeping commitment.

00:03:15: What does that actually look like in practice?

00:03:17: Well, it's the reality That a buying group will slowly and silently converge on its specific vendor over long period of time entirely In the shadows.

00:03:25: Oh, like through peer networks and stuff.

00:03:27: Exactly!

00:03:28: It's an executive casually asking a peer in industry conference what software they use.

00:03:33: it is a slack message to their internal team with the link-to-eventors blog

00:03:37: Right.

00:03:38: so there figuring all out internally Yeah

00:03:40: They are defining their problem establishing their budget and narrowing options long before ever initiate formal search or talk to sales rep.

00:03:48: So...they're making decision before we even know shopping.

00:03:53: I mean, that sounds like marketing teams are just flying totally blind.

00:03:56: They aren't well unless they adapt anyway.

00:03:59: Sarah Chan and Jessica Plefkin highlighted some striking new sixth sense research on this exact behavior And the numbers validate this creeping commitment entirely.

00:04:08: What did the numbers look?

00:04:08: Like

00:04:09: okay get this.

00:04:11: Eighty five percent of buyers Establish their decision criteria before they even contact a seller.

00:04:17: Wow eighty-five percent.

00:04:19: Ninety-five percent of winning vendors were already on the buyer's pre shortlist before the formal buying journey, like Before The RFP was even written.

00:04:29: Ninety

00:04:30: five percent.

00:04:31: that is why I mean relying on MQLs at the bottom of the funnel as Like.

00:04:36: It's like measuring how many people glance out a store window while completely ignoring the People sitting At home actively writing A shopping list.

00:04:43: That

00:04:43: Is a great analogy.

00:04:44: it's Measuring the wrong Behavior Entirely.

00:04:47: but Okay, if ninety-five percent of buyers are making their decisions in this dark funnel you know through Slack channels and private peer conversations how on earth Are we supposed to get on that short list?

00:04:58: How do We find them before competitors too?

00:05:01: You find Them by actively reading the right buying signals while they're doing That early silent research.

00:05:07: You absolutely cannot wait for them To raise Their hand Right.

00:05:10: but And This Is a really Crucial Distinction Here.

00:05:13: Identifying These Hidden Buyers Requires Specific Person level signals

00:05:18: person level because the old way was just relying on those vague account-level intent scores, right?

00:05:24: Like the famous black box platforms.

00:05:26: Yes exactly.

00:05:28: for a long time marketers Just relied on legacy intent platforms.

00:05:31: Alexa Smith and Martha Whiting Offered a really sharp critique of this Black Box intense scoring.

00:05:37: What was their take?

00:05:39: Well, they pointed out that a tool might alert you... ...that massive Fortune-Five Hundred account is suddenly hot or in the decision stage based purely on a spike in anonymous IP traffic to your website.

00:05:50: Right!

00:05:50: Which tells almost nothing

00:05:52: Exactly.

00:05:53: It doesn't tell your sales reps exactly who they should contact or why that account is suddenly surging.

00:05:58: I mean, you can't really blame the sales team for ignoring That.

00:06:01: if my dashboard says Microsoft is suddenly showing intent?

00:06:04: I can just cold call a company of two hundred thousand people and ask hey Who was looking at our pricing page?

00:06:10: no You'd be laughed off-the phone.

00:06:12: And that is exactly why sales reps lose trust in those alerts so quickly.

00:06:17: You need contact level signals and you need them layered together

00:06:20: layered Like like stacking them up.

00:06:23: Yeah,

00:06:23: exactly Trinity Nguyen shared some incredible data from user gems on this.

00:06:28: She pointed out that searching for a single silver bullet signal is just a massive mistake.

00:06:33: Oh For sure one signals One signal isn't enough

00:06:36: right.

00:06:37: according to their data accounts That have six or more stacked signals Have an nineteen times higher opportunity creation rate than it counts with Just one Or two

00:06:46: and nineteen Times Higher Rate.

00:06:48: Yep

00:06:48: Nineteen times.

00:06:49: That is the difference between blindly guessing and actually knowing a deal is brewing.

00:06:55: I like to think about signal stacking, Like forecasting the weather.

00:06:58: Oh

00:06:58: hell so well one person at an account opening A single marketing email as just One raindrop.

00:07:03: right it doesn't mean a storm Is coming?

00:07:06: Right

00:07:06: but if you see a pricing page visit An e-mail click And The company Just announced a new executive hire in that department.

00:07:13: that Combination is a Weatherfront.

00:07:15: that is an actual Storm You can track.

00:07:18: perfect way to look at it.

00:07:20: By the way, if this breakdown is helping you rethink how your team approaches strategy definitely take a second to subscribe to the show so you catch all our future deep dives.

00:07:28: Yeah hit subscribe.

00:07:30: But going back to your weatherfront analogy The real challenge we are seeing in late twenty-twenty six Is This Massive Execution Gap

00:07:38: Execution gap

00:07:39: Meaning We Have The Data but We Aren't Using It

00:07:41: Exactly!

00:07:48: Cindy Dubon cited vector research showing that only seven and a half percent of ABM teams are acting on buyer signals in real time.

00:07:56: Only seven-and-a-half percent Yeah,

00:07:58: think about that.

00:07:59: And over eighteen percent take three or more business days to respond.

00:08:03: Three days

00:08:05: I mean In the modern digital buying cycle.

00:08:07: if you wait three days To respond to a highly stacked intense signal You've already lost their attention

00:08:12: completely lost it.

00:08:14: they moved onto a competitor who responded in three minutes.

00:08:17: And it gets even messier when you look at the quality of signals being routed, doesn't it?

00:08:20: Nita Mohsen pointed out some pipeline-thru-sixty research revealing a massive disconnect between marketing automation and sales reality.

00:08:29: Oh!

00:08:29: The routing issue... yeah that's a huge problem.

00:08:32: It really is.

00:08:33: Teams are frequently routing signals to their sales reps so they secretly don't trust themselves.

00:08:38: Right, like automated bot clicks.

00:08:40: Yes for instance a system will automatically create A high priority task For a sales rep just because of a single email click.

00:08:47: But everyone in marketing knows that email clicks are often inflated by Automated security bots.

00:08:52: Just scanning incoming links

00:08:53: Exactly

00:08:54: If you route those garbage Bot clicks to sales You destroy the trust In the entire ABM program.

00:09:01: The reps Will start ignoring everything you send them

00:09:04: Which brings us right back To why ABM has to be shared organizational framework, right?

00:09:10: Sales and marketing have to sit in a room look at the data and agree on exactly what combination of signals constitutes.

00:09:16: A credible verified weatherfront.

00:09:19: Okay so let's say a team actually fixes this.

00:09:21: we have a verified stacked whether front-of-signals.

00:09:25: The sales reps trust the data.

00:09:28: How do we deploy our budget to actually win them over?

00:09:31: that is the big question

00:09:32: because We certainly can't afford to give every single account.

00:09:36: Absolutely not.

00:09:37: And that naturally brings us to execution and modern ABM playbooks.

00:09:41: The way top teams are deploying their tactics right now is strictly aligned To the value of the account.

00:09:48: so matching the effort to the potential revenue

00:09:50: precisely It's moving away from a one-size fits all approach, and down to hyper personalized One-to-one plays for the highest tiers.

00:09:58: Drew Teller broke this down brilliantly recently.

00:10:01: How does he segment it?

00:10:03: Well He notes that one two one abm where you were building bespoke landing pages, highly customized ads and deep account research.

00:10:12: That should be reserved strictly for accounts with an annual contract value or ACV of over one hundred thousand

00:10:18: dollars.".

00:10:19: Okay so matching the investment to the potential return.

00:10:21: that makes sense.

00:10:22: he also mentioned that one-to-few is for that twenty thousand to one hundred dollar acv range right?

00:10:29: Yep

00:10:29: exactly!

00:10:30: Where you might cluster a group of accounts by their industry And then one to many is for your net new reach.

00:10:38: Accounts under twenty grand, where you're using more templated dynamic ads.

00:10:43: Right because the discipline there's just critical.

00:10:46: You cannot give a ten thousand dollar account The hundred-thousand dollar treatment or you'll literally bankrupt Your marketing budget?

00:10:53: The unit economics Just simply wouldn't work.

00:10:55: But when you do apply that high tier One To One Treatment to A massive account...the results are staggering.

00:11:02: Yeah, I was looking at some of the specific winning plays Julian Lieben shared and they really highlight what this looks like in practice.

00:11:08: Oh!

00:11:08: The Gong example?

00:11:09: Yes.

00:11:10: Gong ran a geo-targeted Super Bowl ad but they didn't buy national airtime.

00:11:14: that would be a massive waste.

00:11:15: millions of dollars.

00:11:15: yeah right

00:11:17: They only bought airtime in exactly three cities, San Francisco, Seattle and New York.

00:11:21: Which is brilliant.

00:11:22: why those three?

00:11:22: Because they were the specific city where their target ICP-their ideal customer profile was heavily clustered.

00:11:29: It generated record pipeline for them a single week because it was incredibly targeted luxury visibility.

00:11:35: That's so smart.

00:11:36: Or look at Snowflake's one-two punch playbook.

00:11:39: Oh, I love that one.

00:11:40: walk us through it.

00:11:41: So marketing warms up a high intent account with highly targeted ads and customized emails for exactly two weeks.

00:11:47: Then on week three sales finally calls.

00:11:50: ah so they lay the groundwork first.

00:11:52: Exactly

00:11:54: The prospect has already been completely surrounded by the brand messaging And because of that air cover their meeting rate jumps from ten percent to thirty six percent.

00:12:02: That is true orchestration.

00:12:04: It isn't marketing working in a silo and then just tossing a lead over offense.

00:12:08: it's Marketing & Sales moving in total lockstep based on very specific signal timeline.

00:12:14: The play that really blew my mind, though was from Aviva.

00:12:18: Julian shared how they wanted to expand their footprint inside massive enterprise GSK.

00:12:23: Oh right the microsite one.

00:12:25: Yeah They didn't send a generic email sequence.

00:12:27: They mapped out eight different buying groups within the company.

00:12:31: Then they built a highly specific bespoke microsite exclusively for GSK.

00:12:36: Wow, and they didn't just slap the logo on it you know?

00:12:39: The entire site was framed around GSK's own internal corporate vision.

00:12:42: in their specific challenges They backed up with targeted ads Just For Those Employees.

00:12:48: And what was the return of that?

00:12:49: It generated nine million dollars in pipeline from single account.

00:12:54: Nine million.

00:12:56: That

00:12:57: is incredible.

00:12:58: But I have to ask Is spending all this time and money to build a bespoke website for just one company actually required now or is that just luxury marketing?

00:13:07: For teams with way too much budget,

00:13:10: you know.

00:13:10: It's very fair question.

00:13:11: To ask but it isn't luxury marketing.

00:13:14: It is precision economics.

00:13:16: Okay

00:13:16: How so

00:13:17: when you are chasing a nine million dollar deal?

00:13:20: Spending twenty or thirty thousand dollars of marketing budget to build the bespoke digital experience is a completely rational customer acquisition cost.

00:13:28: Yeah, that math definitely checks out!

00:13:30: You're removing friction for eight different buying groups by speaking exactly to their internal corporate language.

00:13:37: it's entirely about matching your effort with the ACV and honestly we are seeing this exact same philosophy applied to physical real-world interactions as well.

00:13:46: Right, like the hyper-personalized one to one gifting plays?

00:13:49: Exactly.

00:13:50: Davis Potter gave a fantastic example of using AI for context gifting because that old way of ABM gifting was just you know sending generic AirPods or Yeti mugged to bribe a prospect into taking at thirty minute demo.

00:14:03: So tacky.

00:14:04: It was tacky and frankly really inefficient.

00:14:07: but The new Way is entirely context driven.

00:14:09: so let's say A buyer casually mentions on a discovery call That they love trying local restaurants when They travel.

00:14:15: okay AI call listening software flags that tiny detail.

00:14:19: Later, the system sees The Prospect is traveling in New York City for an industry conference next month.

00:14:24: Oh I see where this is going

00:14:26: Right.

00:14:26: So instead of generic AirPods you send a premium olive oil tasting kit to their office along with an invitation To an exclusive intimate dinner In new york With your chief revenue officer and six other Industry peers.

00:14:39: See That Is the definition Of signal driven relevance.

00:14:42: You aren't just bribing them with electronics.

00:14:45: You are using technology to capture a deeply human detail and you were executing a play that shows.

00:14:51: You actually listen to them

00:14:52: exactly.

00:14:54: Seth Haynes shared another creative play along these exact lines.

00:14:57: He noticed how many executives in the B-to-B space our avid marathon runners.

00:15:01: Oh interesting Yeah,

00:15:02: so his plate is to sponsor charity spots in the NYC Marathon.

00:15:06: You find the executives in your target accounts who run and you offer them a highly coveted entry spot in exchange for joining your corporate charity team.

00:15:14: Oh

00:15:14: wow, that is brilliant!

00:15:16: Right

00:15:17: You host the VIP dinner before the race, you send recovery gear afterward...you build psychological bonds.

00:15:23: no sequence of automated cold emails could ever achieve.

00:15:26: Definitely not.

00:15:28: But I am listening to all of this, executing bespoke microsites for individual accounts.

00:15:33: Tracking marathon runners coordinating exclusive dinners and i'm thinking This sounds incredibly resource heavy!

00:15:39: It

00:15:39: does sound like a lot.

00:15:40: How did the normal size marketing team pull it off?

00:15:42: It feels you would need an absolute army of SDRs, sales development reps And campaign managers.

00:15:48: just do all these manual stocking in coordination.

00:15:52: Well... Historically You Would've Needed An Army but this is exactly where the industry's experiencing a seismic shift right now.

00:15:59: The solution to the scale problem in ABM, is agentic AI.

00:16:04: Okay...the AI reality check?

00:16:06: Let us get into it because the hype here just deafening It

00:16:09: IS!

00:16:09: But conversation around AI has finally matured ...it isn't about using generative AI to write faster mediocre cold emails anymore.

00:16:17: AI actually solving the scale problems.

00:16:20: Okay explain that

00:16:22: Kelly Hopping and Stefano Ioannini discussed how Sixth Sense is completely repositioning their platform toward agentic GTM.

00:16:30: The core philosophy here, is that AI agents can scale your strategy but they absolutely cannot replace your strategy

00:16:36: Right.

00:16:37: it needs guardrails

00:16:38: Exactly.

00:16:39: If you give an AI raw data signals without any business context or strategic card rails It doesn't make your team smarter.

00:16:45: just becomes as they put it confidently wrong faster

00:16:49: Confidently wrong faster.

00:16:51: I love that phrasing, it perfectly describes the danger of automating a bad process you just make.

00:16:58: But when you actually get the guardrails right, The Predictive Power seems unreal.

00:17:03: Joshua Perk and Nick Masters highlighted the launch of Spectre.

00:17:05: one point oh by Vector.

00:17:07: Yeah in this isn't just a basic algorithm.

00:17:10: it is an explainable machine learning And LLM large language model designed specifically for B to be marketers.

00:17:16: It doesn't Just spit out A generic score that says An account Is an eighty five Out Of One Hundred.

00:17:20: Right Cuz Raps Hate That

00:17:21: Exactly!

00:17:21: It Actually Tells The Sales Rep In Plain English Why An Account Is In Market?

00:17:27: based on the signals.

00:17:29: In their benchmarking, The top tier of accounts predicted by this model drove five to eight times better pipeline creation than working a list at random Five-to-eight

00:17:36: Times Better and that concept is the entire key to unlocking trust with the sales team.

00:17:42: If the AI's just a black box, reps ignore it?

00:17:44: Yeah.

00:17:45: Explainable

00:17:45: A.I.,

00:17:46: Is The Difference Between A GPS Just Shouting Turn Left And A GPS Saying turn left because there is a ten car pile up on your usual route.

00:17:53: Exactly!

00:17:54: Sales Reps Need To Know Why They Are Turning Left Or they Simply Won't Trust The Machine.

00:17:58: That' s great way of looking at them.

00:17:58: but even when we have best AI We Have Remember The Ultimate Differentiator.

00:18:03: Raphael C and Anne-Marie Del Rosa shared really vital philosophy about this.

00:18:08: What does that take?

00:18:10: They argue that marketers should view AI as a strategist buddy.

00:18:15: A strategists' buddy, I like that!

00:18:16: Right.

00:18:17: The AI does the heavy lifting—the tedious account research... ...the data aggregation mapping out eight buying groups and all of that initial prep work… But the human marketer remains what they call a human on-the loop.

00:18:29: On-the-loop not out of it?

00:18:30: Exactly You are not entirely removed from the process, you're overseeing it.

00:18:35: Stepping in to apply nuance and focusing your freed up time on what AI cannot do – building deep human-customer relationships.

00:18:45: Here's where this gets really interesting for me….

00:18:48: AI is essentially like having a lightning fast sous chef at a professional kitchen.

00:18:53: Oh I love good food analogy!

00:18:54: Right?

00:18:55: The AI can chop all vegetables... Perfectly prep the ingredients and organize the station in seconds.

00:19:01: Yep, but you absolutely still need to head chef to taste the soup before it goes out into dining room.

00:19:06: The human judgment...the empathy.. the strategic palette that is what actually wins the enterprise deal.

00:19:12: Spot on!

00:19:13: The AI handles the sheer volume of complexity data signals But the Human retains this strategic steering wheel.

00:19:20: We are officially moving from an era of manual brute force production into an era of orchestration and high-level judgment.

00:19:28: Which leaves me with a final, slightly provocative thought for you to mull over as we wrap up this deep

00:19:33: dive.

00:19:34: Let's hear it

00:19:35: If AI is eventually going to automate all the Deep Account research The complex data sorting And even initial outreach in personalization.

00:19:44: Maybe future BtoB marketer looks less like traditional campaign manager Pulling levers on dashboard an investigative journalist or a behavioral psychologist.

00:19:56: Oh, wow!

00:19:57: Right?

00:19:57: That's a shift

00:19:58: in a world where technology can replicate everything else.

00:20:02: maybe the only things left that matter are pure empathy creativity and trust.

00:20:08: if you enjoyed this episode new episodes drop every two weeks.

00:20:11: also check out our other editions on field marketing channel and partner marketing AI and B to be more tech go-to market and social selling.

00:20:20: Thank you so much for joining us on this deep dive and don't forget to subscribe!