Best of LinkedIn: Account-based Marketing CW 04/ 05

Show notes

We curate most relevant posts about Account-based Marketing on LinkedIn and regularly share key takeaways.

This edition outlines the strategic shift in Account-Based Marketing (ABM) moving into 2026, emphasising a transition from generic, volume-based tactics to precision-driven, fully orchestrated business strategies. Key themes include the critical necessity of deep sales and marketing alignment, where teams must move beyond simple lead handoffs to co-create account lists and share revenue goals in order to prevent wasted resources.Artificial Intelligence is presented as a vital tool for accelerating research and data enrichment, enabling teams to map buying committees and personalise outreach at scale. However, experts caution that poor or inconsistent CRM data can undermine these efforts. The texts also highlight the need for operational rigour, urging a move away from vanity metrics such as MQLs and impressions towards North Star metrics like Customer Lifetime Value and pipeline progression. Furthermore, the consensus suggests that successful ABM requires moving beyond firmographics to leverage contact-level intent signals, ensuring that engagement is aligned with buyer readiness rather than the vendor’s schedule. Overall, the sources advocate for ABM not merely as a marketing campaign, but as a core operating model that demands executive buy-in, rigorous segmentation, and a sustained focus on building trust with complex buying committees.

This podcast was created via Google NotebookLM.

Show transcript

00:00:00: Provided by Thomas Allgeier and Frennis, based on the most relevant posts on LinkedIn about account-based marketing in CW four and five, Frennis is a B to B market research company working with enterprises to optimize their campaigns with account and executive insights far beyond AI.

00:00:15: Ready to get into it.

00:00:16: Let's

00:00:16: do it.

00:00:17: Welcome back to another deep dive.

00:00:19: Today we're unpacking a a really specific shift in the B to B marketing world.

00:00:24: If you've been watching the conversation on LinkedIn over the last couple of weeks, calendar widths four and five, the whole mood has just changed.

00:00:29: It really has.

00:00:30: For the last year, maybe more, it was all about the tech stack, right?

00:00:34: Yes.

00:00:34: Which tool is the silver bullet?

00:00:36: Exactly.

00:00:37: But looking at the sources we pulled, the pendulum is swinging way back.

00:00:42: We're moving from, I'd say, a tooling obsession to more of an execution discipline.

00:00:46: It feels like everyone's realizing that vanity metrics just don't pay the bills.

00:00:50: The patience for fluff is gone.

00:00:53: The focus in these posts is so much more on actual pipeline impact, the messy parts of sales alignment, and just the hard reality of enterprise buying cycles.

00:01:03: And that reality check is exactly how we've structured this.

00:01:07: We're going to hit three main clusters.

00:01:10: First up, ABM strategy maturity.

00:01:12: Basically asking, you know, are you doing real ABM or just pretending?

00:01:16: Okay.

00:01:17: Then we'll get into the core friction point, sales and marketing linemen.

00:01:22: And finally we'll touch on the evolution of segmentation and intent data.

00:01:27: Perfect.

00:01:27: So let's start with that first one.

00:01:29: ADM strategy and operating model maturity.

00:01:31: I saw this recurring theme that the, you know, the sauce playbook is just breaking when you try to copy paste it into other industries.

00:01:37: Oh,

00:01:37: this is such a critical distinction.

00:01:39: Yeah.

00:01:40: Stefan Reepin had a really strong post on this looking at near shore and technical services.

00:01:44: His whole argument is that if you run a standard sauce ABM play

00:01:48: where you're just looking for intense signals and blasting out,

00:01:51: right?

00:01:51: You are going to fail in these sectors.

00:01:53: Massively.

00:01:54: Because you're not selling a license key, you're selling a partnership.

00:01:57: Exactly.

00:01:57: You're selling a huge implementation.

00:01:59: Reapin points out that these are committee decisions that can take six, even nine months.

00:02:05: The buyers are comparing you against offshore, onshore, hiring internally.

00:02:09: It's a whole different calculation.

00:02:11: So relying on firmographics, Company X is in the right industry, or a simple, they visited the website.

00:02:18: That's just not enough.

00:02:19: It's worse than not enough.

00:02:20: He says it's misleading those traditional intense signals.

00:02:23: They don't capture what he calls committee readiness.

00:02:26: I like that term.

00:02:26: Yeah, just because a company looks like a buyer on paper doesn't mean they're ready to consolidate vendors.

00:02:32: You have to target based on actual conversion patterns, you know.

00:02:35: deep insights Not surface level stuff.

00:02:38: This whole idea of surface level ABM really ties into a question that Megan Hire raised.

00:02:43: And I think it's a question that makes a lot of marketers pretty uncomfortable.

00:02:46: Is this actually ABM question?

00:02:48: Is your programmatic ABM just traditional outbound marketing and a new outfit?

00:02:54: She's so right to ask it.

00:02:56: Her point is that a lot of teams, they take a target account list, but then they treat every single account the exact same way.

00:03:01: they treat a co-lead.

00:03:03: They're not using customer insights to tailor anything.

00:03:06: So if I have my list of named accounts, but I'm sending them all the same generic sequence, that's not...

00:03:11: No, that's not ABM.

00:03:11: That's just demand gen with a VIP list.

00:03:15: Real ABM has to adapt the message to what that specific buying group needs.

00:03:20: If the insight doesn't change the creative, what's the point?

00:03:23: But that means we have to change how we measure success, right?

00:03:26: If you're doing all this tailored work, the metrics have to reflect that depth.

00:03:29: Which is a perfect lead-in to Declan Mulkeen's insight.

00:03:33: He suggests we're all staring at the wrong North Star metric.

00:03:36: OK.

00:03:36: Most B to B marketers, we obsess over ACV annual contract value, or ARR, all acquisition metrics.

00:03:42: Right.

00:03:43: But Mulkeen argues the real metric for ABM should be CLV, customer lifetime value.

00:03:48: That makes perfect sense in theory.

00:03:50: But in the real world, most marketing teams are, you know, hands off once the contract is signed.

00:03:55: And that's the failure point.

00:03:57: He emphasizes that ABM can't stop at the signature.

00:04:00: It has to flow right into customer lifecycle marketing.

00:04:04: If you see that closed one notification as the finish line, you are leaving so much money on the table.

00:04:11: I do want to push back on this a little or at least at a counterpoint.

00:04:14: We just said enterprise cycles are long, six to nine months.

00:04:18: But Vincent Plassard argues that just because the sale cycle is long, marketing can't afford to be slow.

00:04:24: Oh, I love this point.

00:04:25: It's a great paradox.

00:04:26: He calls a lack of velocity a silent killer.

00:04:29: He brought up companies like Ramp or Synthesia.

00:04:31: They sell to businesses, but their marketing moves incredibly fast.

00:04:35: Rapid experiments, quick content.

00:04:37: Right.

00:04:37: Even if the deal itself takes a year to close, your presence in the market has to be agile.

00:04:42: If you're taking three months to get a campaign out the door because, well, it's enterprise, you've already lost, you need that high velocity marketing to sustain a low velocity sales cycle.

00:04:50: But that sustainability, it relies completely on the handoff between teams.

00:04:55: That brings us right to our second big theme, sales and marketing alignment.

00:04:59: This is where it usually gets messy.

00:05:01: You can have the best strategy, the best tech in the world, but if the people aren't talking to each other, nothing works.

00:05:07: And when they're not talking, they're usually pointing fingers.

00:05:10: Ryan Young had a great post on this.

00:05:12: He called it the blame game.

00:05:14: The classic standoff.

00:05:15: Marketing sends leads.

00:05:17: Sales says they're terrible.

00:05:18: Sales builds a list.

00:05:19: Marketing says they're impossible to reach.

00:05:22: Exactly.

00:05:23: And Young's solution is pretty blunt.

00:05:25: Sales has to own the target account list, the TAL.

00:05:29: So marketing gets no say.

00:05:31: No, no, marketing validates it, but sales has to own it.

00:05:35: If sales builds a list based on, you know, gut feel or some wish list of logos, they have to own the failure when those accounts don't engage.

00:05:45: Marketing's KPIs shouldn't be tied to a list they never believed in.

00:05:48: That seems fair.

00:05:49: But even with an agreed list, the tactical handoff is where everything falls apart.

00:05:53: Karina Owens highlighted a really specific failure point.

00:05:56: It's between the BDR and the account executive.

00:05:59: The fumble on the one yard line.

00:06:01: She says this isn't a marketing problem, it's a collaboration gap.

00:06:04: And her solution is a really strict service level agreement, an SLA.

00:06:09: We hear SLA all the time.

00:06:11: What does a good one actually look like here?

00:06:13: It has to be super granular, for example.

00:06:15: If two different personas from one account engage with our content in seven days, the BDR has twenty-four hours to warm up the champion, and the AE has to immediately request a consensus call.

00:06:27: I see, so it's not throw a lead over the fence, it's a choreographed play.

00:06:31: It is.

00:06:33: And Stefan Merch took this idea of integration a step further.

00:06:36: He talked about a structural fix.

00:06:38: he calls the pod system.

00:06:39: That sounds like a big organizational shift.

00:06:41: It is.

00:06:42: He's saying break down the departments.

00:06:43: instead of marketing and sales you create these pods for a specific vertical or a geography.

00:06:49: You put a marketer, an AE, an SDR, and a revops person all in one mini-team.

00:06:54: So they're not just meeting once a quarter.

00:06:55: No, they're meeting by weekly.

00:06:57: The marketer isn't just in a void, they're translating engagement data into action for the SDR, right there in the meeting.

00:07:04: The AE shares stories from calls that help the marketer build better case studies.

00:07:08: It's a tight feedback loop.

00:07:09: And that feedback loop is so critical for content.

00:07:13: Dibjit Sen made a point that really stuck with me.

00:07:15: Content shouldn't be a marketing

00:07:17: guess.

00:07:17: Oh, absolutely.

00:07:18: If marketing is just sitting in a room trying to guess what to write, you've already lost.

00:07:24: Sen says content has to be built from what sales is hearing, what's slowing down deals.

00:07:28: Use patterns from close one deals to build your narrative.

00:07:31: Then

00:07:31: content stops being just a PDF you send out and starts being actual ammunition.

00:07:36: Right.

00:07:36: But for any of this to work, we have to stop lying to ourselves about the metrics.

00:07:41: Divina Bachetta had this reality check about the MQL, the marketing qualified lead that... It's stung a little to read.

00:07:48: I think

00:07:48: MQL trap.

00:07:49: It's hard to escape.

00:07:50: It is.

00:07:51: But she basically said, stop measuring MQL.

00:07:53: Sales ignores eighty percent of them anyway.

00:07:56: And she put a dollar amount on it.

00:07:57: That's what really makes it hit home.

00:07:59: She estimated that all that wasted time chasing bad leads costs about seventy two thousand dollars per rep per year.

00:08:05: Seventy two thousand dollars.

00:08:06: That's a person.

00:08:07: That's a salary.

00:08:08: Just gone.

00:08:10: Her advice is simple.

00:08:12: Switch to measuring sales accepted opportunities and win rates.

00:08:15: If sales won't accept it, it doesn't count.

00:08:18: It forces marketing to care about quality.

00:08:20: Okay, so we've got strategy maturity, we've got the people aligned, now for the fuel, the data.

00:08:26: This brings us to our third theme, segmentation, targeting, and intent evolution.

00:08:32: And this area is moving so fast, we are way past basic list now.

00:08:36: Felix Brandt actually proposed a new formula for an ICP, an ideal customer profile.

00:08:41: He says, ICP equals fit plus proximity.

00:08:45: I love that proximity.

00:08:46: We all get fit right industry, right revenue, but what is proximity?

00:08:49: Proximity

00:08:49: is visible interaction.

00:08:51: Are they commenting on posts?

00:08:52: Are they showing up in your ecosystem?

00:08:54: Brandt's point is that a perfect fit account that is totally cold is actually harder to close than a good fit account that's already familiar with you.

00:09:01: So don't just hunt for the perfect fit.

00:09:02: Prioritize where you already have some momentum.

00:09:04: Exactly.

00:09:05: And speaking of momentum, Trinity Guyan had a great piece on how intent data is evolving.

00:09:10: For years, we've relied on account level intent.

00:09:13: That's the classic.

00:09:14: someone from company X visited your website.

00:09:16: Right.

00:09:16: Which Nguyen says is now just too weak.

00:09:19: Yeah.

00:09:20: Knowing someone from IBM visited.

00:09:25: What does Rep do with that?

00:09:26: It's a waste of time.

00:09:27: So what's the next step?

00:09:29: Contact level signals.

00:09:30: The leap from company X visited to Shane, the CEO, visited the pricing page three times.

00:09:36: That's the home run.

00:09:37: You combine that with your first-party CRM data, and she calls it a signal command center.

00:09:42: That's a game changer.

00:09:43: But what about the other side of signals?

00:09:45: What happens when they just stop?

00:09:48: Mark Finnic had this fascinating psychological take on silence.

00:09:51: This is one of my favorite insights because it's so counterintuitive.

00:09:55: Sellers panic when a deal goes quiet.

00:09:57: They think it's over.

00:09:58: They start sending those just checking in emails.

00:10:00: Yeah,

00:10:01: silence feels like rejection.

00:10:02: But Phoenix says in big enterprise deals, silence often means internal decision making is happening.

00:10:07: It means your champion has passed it on to the people behind the scenes who hold the purse strings, the committee.

00:10:13: So silence isn't a stop sign.

00:10:14: It's a yield sign.

00:10:16: Exactly.

00:10:16: It's not time to panic.

00:10:18: It's time to realize the deal has leveled up.

00:10:20: You need to give them space to fight that internal battle.

00:10:22: That

00:10:23: is a very comforting thought.

00:10:25: Okay, back to the tactical side.

00:10:27: Steve Armenti says we need to stop stopping it just creating an account list.

00:10:31: Right, the static list is dead.

00:10:33: He's pushing the use of AI clustering to create micro audiences.

00:10:37: Instead of targeting healthcare companies, you use AI to find clusters based on why they might be buying.

00:10:43: Like healthcare companies that just hired a new CTO.

00:10:46: Or healthcare companies expanding into Europe.

00:10:48: It's about the context, not just the thermographics.

00:10:51: He claims it takes click-through rates from, like, point four percent up to five, or even ten percent, just by being more relevant.

00:10:59: But we have to be careful where we're applying that.

00:11:01: There were some interesting reality checks about LinkedIn specifically from Justin Rowe and Carl Newlin.

00:11:06: Yes,

00:11:07: a big warning for any leader who likes to cut marketing budgets to save a buck.

00:11:11: Rowe pointed out this delayed effect.

00:11:13: If you turn off your LinkedIn ads today... You won't see the impact immediately.

00:11:17: It hits you four to twelve weeks later.

00:11:19: Why

00:11:19: so long?

00:11:20: Because LinkedIn is the upstream brand building.

00:11:23: It's warming up the committee before they ever think to search for you.

00:11:26: You cut that off and eventually your Google search performance tanks because people just stop searching for your brand by name.

00:11:32: And Carl Newlin added a point about the algorithm itself that was a little terrifying.

00:11:37: It

00:11:37: is scary if you're relying on organic.

00:11:40: He said that the algorithm shows your posts to people who are like the people who engage with it.

00:11:45: So have a bunch of other marketers like my post.

00:11:47: It shows it to more marketers, not the CFOs on your actual target list.

00:11:52: You can't just assume your content is reaching the right two hundred people.

00:11:55: It's a huge echo chamber risk.

00:11:57: That's a massive blind spot.

00:11:58: It is.

00:11:59: It shows why you can't rely on organic alone for true ABM.

00:12:03: Okay, we have covered so much ground.

00:12:05: Strategy, alignment, beta.

00:12:07: Let's shift to our lightning round.

00:12:09: We pulled three super specific tactical plays that you could go do, like today.

00:12:14: Let's

00:12:14: do it.

00:12:14: All right.

00:12:14: Play number one is from Morgan J. Ingram.

00:12:17: He calls it the former customer play on sales navigator.

00:12:21: Classic, so effective, and people forget to do it.

00:12:23: The setup is so simple.

00:12:25: In SalesNav, you filter past company equals a company where you have happy customers.

00:12:31: Then filter current company equals one of your target accounts.

00:12:35: And this is the key filter for roll tenure less than one year.

00:12:39: That last bit is everything.

00:12:42: You're finding champions who already love your product, who just landed at a new company where they want to make an impact.

00:12:49: It is the easiest warm intro in the

00:12:51: world.

00:12:51: Play number two comes from Guillaume Jose and Hlib S. It's about using AI, but not for writing emails.

00:12:58: No, this is for research.

00:13:00: They're talking about using Claude specifically with a clay integration to replace manual prospecting.

00:13:04: You use it to map out org charts, find the exact right angle before you ever hit send.

00:13:08: So instead of a rep spending an hour on Google.

00:13:10: The AI does it.

00:13:11: It synthesizes the YSY Now logic for you.

00:13:13: It's automating the research, not just the writing.

00:13:16: And finally, play number three from Finn Thormeyer.

00:13:18: This is about executive thought leadership.

00:13:21: This one takes an internal buy-in, but the payoff is huge.

00:13:24: You interview your CEO or your CTO for one hour.

00:13:28: Record it.

00:13:29: Then you slice that up into a bunch of LinkedIn posts for their personal profiles, not the company page.

00:13:33: What's

00:13:34: the kicker?

00:13:34: You retarget anyone who engages with those executive posts.

00:13:38: You're leveraging the personal trust of the leader, then using paid ads to capture that high intent demand.

00:13:43: It just bypasses that corporate filter everyone has.

00:13:46: Simple, smart, high leverage.

00:13:47: I love

00:13:48: that.

00:13:48: It really just wraps up the whole theme of this deep dive, doesn't it?

00:13:51: It's not about more tools.

00:13:53: It's about using the assets you already have, your customers, your data, your leaders.

00:13:58: more intelligently.

00:13:59: Absolutely.

00:14:00: Well, that brings us to the end of this deep dive.

00:14:02: If you enjoyed this episode, new episodes drop every two weeks.

00:14:06: Also, check out our other editions on Field Marketing, Channel and Partner Marketing, AI and B to B, Martag, Goto Market and Social Selling.

00:14:14: And if I can leave you with one final thought, please stop treating ABM as a campaign.

00:14:19: It is not a campaign.

00:14:20: It's a business strategy.

00:14:22: Thanks

00:14:22: for listening.

00:14:23: Subscribe so you don't miss the next deep dive.

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