Best of LinkedIn: Account-based Marketing CW 40/ 41
Show notes
We curate most relevant posts about Account-based Marketing on LinkedIn and regularly share key takeaways.
We at Frenus support enterprise marketing teams to optimize their campaigns with research-grade account profiling and insights. You can find more info here: https://www.frenus.com/usecases/win-strategic-accounts-with-deep-intelligence
Account-based marketing is rapidly evolving from a basic campaign tactic into a comprehensive go-to-market operating model that unifies sales and marketing teams around shared account lists and metrics. While artificial intelligence and signal tooling have made executing these programs much cheaper, businesses still struggle with accurate account selection, rapid follow-up speeds, and proving clear financial impact. Current benchmarks reveal that cross-functional alignment and proper data management remain significant hurdles, as many organisations face communication gaps between departments and slow lead response times. Despite these operational friction points, leveraging buying signals and predictive intent data successfully enhances targeting precision and significantly boosts pipeline revenue. Furthermore, widespread vendor consolidation is reshaping the software landscape as major platforms acquire specialized startups to offer more integrated, all-in-one revenue solutions.
This podcast was created via Gemini Notebook.
Show transcript
00:00:00: Provided by Thomas Allgaier and Freeness, based on the most relevant LinkedIn posts about account-based marketing in calendar weeks.
00:00:07: forty and forty one.
00:00:08: Freenest 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 AI
00:00:17: Right.
00:00:18: And just to set expectations right out of the gate for you, You are diving into the absolute top ABM trends.
00:00:24: straight from the front lines of LinkedIn.
00:00:26: We're extracting The No Fluff highly actionable insights specifically For B-to-B go-to market leaders.
00:00:32: today
00:00:33: This edition is brought together with our partner B-To-B marketing.
00:00:36: Don't miss on their upcoming conference The Global ABM Conference in London.
00:00:40: Find a link at the description.
00:00:43: So let's jump right into this.
00:00:45: I want you imagine spinning up this massive outreach campaign, you know?
00:00:49: Sending out five thousand highly personalized emails a week.
00:00:54: Yeah which sounds great on paper!
00:00:55: Exactly the AI scrapes your prospects.
00:00:58: latest podcast appearance.
00:00:59: it pulls quotes from their ten k filings and even like weaves there college mascot into the opening line.
00:01:05: oh man The College mascot thing
00:01:06: right.
00:01:07: And Your reward for all of This technological wizardry.
00:01:11: A reply rate Of zero point one six percent.
00:01:14: That is just wow
00:01:16: Brutal.
00:01:16: It really is.
00:01:18: the whole AI personalization playbook is cracking right now.
00:01:21: so today we are looking at why that surface level automation Is totally failing executive buyers?
00:01:26: Yeah, and we're exploring how top b to be teams Are basically tearing down their go-to market structures To rebuild a BM not as a campaign but it's a foundational operating model
00:01:37: Exactly.
00:01:37: I mean, that zero points one six percent reply rate is just the perfect diagnostic for where we are right now.
00:01:43: The sources make it super clear That treating ABM as another campaign channel Is missing a point
00:01:49: Or worse Right?
00:01:50: Just using It As A Fancy Rapper For Targeted Ads.
00:01:53: Yeah
00:01:53: Precisely If you look at Takeaway's Amy Spencer and Renalini Sundar Shared From That Recent Demand Based Certification The Mandate Is Pretty Stark.
00:02:02: What Was Their Main Takeaway?
00:02:03: Basically, that ABM is a cross-functional go to market strategy.
00:02:07: It requires joint account prioritization shared intelligence and unified metrics across both sales in marketing right?
00:02:14: So if your marketing team has just sitting in some silo running personalized display ads To a list of one hundred accounts while sales does its own thing
00:02:21: you aren't doing abm
00:02:23: Exactly.
00:02:23: You are just running highly targeted demand generation.
00:02:27: Yeah And I see companies struggling with that structural gap constantly, you know marketing generates the engagement.
00:02:32: Sales completely ignores it.
00:02:34: And then they just blame each other at the end of quarter,
00:02:36: right?
00:02:36: It's a classic story
00:02:38: But
00:02:38: looking at how vectors solve this is honestly mind-blowing.
00:02:41: Joshua Perka outlined their whole transition.
00:02:44: Oh This Is The inbound Story Right?
00:02:45: Yeah?
00:02:46: So They Grew An Astonishing nine Hundred and Nine Percent on Inbound Alone Last Year.
00:02:51: That Is Massive
00:02:53: It'S Huge but They Knew Inbound Eventually Plateaus.
00:02:55: so They Needed an Outbound Motion.
00:02:58: But Instead Of Spinning Up a Traditional you know siloed outbound sales team.
00:03:03: They decided to treat the entirety of their B-to-B motion as ABM,
00:03:07: which is such a massive shift in thinking
00:03:10: it really does.
00:03:11: they actually physically move The Outbound function to report directly under marketing.
00:03:15: Wow Think about the operational shift that creates?
00:03:18: The traditional friction.
00:03:19: you know marketing complaining sales won't work leads and sales complaining the leads are garbage.
00:03:24: That just disappears
00:03:26: because one single leader owns the entire brand experience and the qualified pipeline.
00:03:31: Exactly, outbound outreach gets treated with the exact same strategic weight as their brand initiatives or gifting programs or paid ads.
00:03:39: it forces a unified experience for the buyer
00:03:42: instead of a fragmented assault from like three different departments.
00:03:46: I wanna pause on that for a second because it's incredibly tempting to hear about Vector's success.
00:03:53: Go do your CFO, secure budget for some massive new ABM platform and just assume the software will force that kind of alignment?
00:03:59: Oh totally!
00:04:00: A lot people fall into that trap.
00:04:02: Yeah but buying ABM software from an unaligned structurally broken team isn't solution.
00:04:08: It is like pouring high octane fuel in an engine with crack block.
00:04:12: You don't win the race, you just blow up the engine faster.
00:04:15: You're
00:04:15: just scaling your dysfunction at that point
00:04:17: Exactly.
00:04:17: And Robert R actually highlights this exact catastrophic failure mode in The Sources He was brought into.
00:04:23: Build It Out an ABM campaign opened-up the client's CRM and found... An absolute wasteland.
00:04:29: Oh no Like what?
00:04:31: I mean, missing location data zero buying committees mapped out no ideal customer profile flags anywhere.
00:04:38: You can't work with that.
00:04:39: you really
00:04:39: can if sales and marketing haven't sat in a room And literally bled over the definition of what a qualified account actually looks like.
00:04:47: No piece of software on earth is going to invent that agreement for you.
00:04:50: So
00:04:50: powerful sass layer on top of a broken CRM just automates your bad habits.
00:04:55: precisely so.
00:04:56: The foundation absolutely has to be human alignment and clean data.
00:04:59: Right, but once you actually have that.
00:05:01: You hit the next issue which is The Scaling Problem.
00:05:04: Vincent Plaster breaks down operational constraints of scaling an ABM program and I just love his framework.
00:05:09: It really validates the messy early days doesn't it?
00:05:11: He
00:05:12: does!
00:05:12: When he argues when targeting your first twenty accounts Your only constraint is time.
00:05:17: You are supposed to spend two hours manually researching a single account
00:05:21: Writing bespoke messaging sinking constantly with an account executive
00:05:25: Exactly...you aren't failing by being manual at this stage.
00:05:29: you are actively building the playbook.
00:05:31: The danger is assuming that manual playbooks simply stretches as you grow, because when you move to fifty accounts... ...the primary constraint shifts from time-to process.
00:05:40: Right!
00:05:40: You cannot physically start from zero every single time.
00:05:43: No..you need to productize your internal workflows Reusable research frameworks Modular messaging blocks Standardized landing page templates
00:05:53: And teams.
00:05:53: try and skip infrastructure building phase and jump straight into targeting a hundred accounts.
00:05:58: Do you just end up doing a hundred accounts worth of purely manual work?
00:06:01: Which is a disaster.
00:06:02: They burn out their SDRs, they frustrate their AEs and then they just ended up quietly cutting the target list back down from sheer exhaustion.
00:06:09: Yeah we've all seen it happen And according to Plissard when finally hit that one-hundred plus account threshold The constraint shifts third time.
00:06:18: What does this shift do?
00:06:19: Manual decisions.
00:06:21: You can't have a room full of highly paid strategists spending their entire week manually debating which piece of content an account should see next.
00:06:28: Or when the exact right moment is for sales to step in.
00:06:31: Right,
00:06:31: you have to build automated rules for routing and intense spikes To remove those human bottlenecks.
00:06:37: But here's the thing.
00:06:38: Building that sophisticated Automated routing process For one hundred accounts Is completely useless If you are routing The wrong companies In first place.
00:06:48: Right.
00:06:48: Which brings us to Account Selection.
00:06:50: You can't just rely on basic thermographics anymore, can you?
00:06:53: Not at all.
00:06:55: Filtering a database by B to B software and over five hundred employees is how you end up with a massive list of companies that look identical in paper but have zero actual need for your product.
00:07:07: So Eric Linsen shared this breakdown about finger print scores their total addressable market.
00:07:11: That completely flips the paradigm.
00:07:13: Oh yeah I saw it.
00:07:14: Instead of buying a static list of NACE codes and employee headcounts, they use AI to evaluate their TAM based on two highly behavioral questions.
00:07:24: Okay what's the first one?
00:07:25: First does the account actually have the problem we solve because they sell it.
00:07:29: technical solution.
00:07:31: They proxy this by having the AI look for public login pages or sign-up incentives on the target website.
00:07:37: That is so smart!
00:07:39: And second question?
00:07:40: Second how large?
00:07:43: And they proxy that by looking at the volume of website visitors or app downloads.
00:07:47: The elegance of that approach is just striking, I mean... They aren't guessing based on revenue bans.
00:07:53: Nope!
00:07:53: They are isolating companies that definitively have architecture to require their tool and traffic volume to justify an enterprise contract
00:08:02: Right?
00:08:03: By shifting away from static thermographics to these dynamic problem-centric proxies….
00:08:08: …they cut their wasted ad spend double their annual contract value and tripled their annual recurring revenue.
00:08:15: Tripled it!
00:08:16: That's incredible, And if you are rethinking how to score your TAM based on that kind of dynamic capability we're going get into how AI is shifting tiering next.
00:08:26: But hey, if you're finding these insights valuable as you rebuild your GTM motion make sure to subscribe so you catch all our future deep dives.
00:08:32: Yes
00:08:33: definitely subscribe!
00:08:34: So we have the fingerprint example showing how dynamic scoring works and that directly feeds into this massive debate happening in the sources right now regarding account tiering.
00:08:45: Oh yeah...the Tiering Debate.
00:08:47: Traditionally We All Lived By The Rigid Spreadsheet Right?
00:08:51: Tier one gets the bespoke white glove treatment.
00:08:54: Tier two, it's industry-level personalization and tier three just get generic nurture track.
00:09:00: But Nora Conklin argues those static tiers were really a coping mechanism for scarcity.
00:09:06: Right because when deep research in custom content took days to produce we had to hoard these resources from top five percent of accounts.
00:09:15: but she argues that since AI now removes those execution constraints prioritization should be fluid.
00:09:21: They should shift dynamically based on real-time buyer behavior.
00:09:25: It's a super compelling vision of the future, I have to say but it kind of ignores the fundamental bottleneck of enterprise sales
00:09:32: which is what Sloan Newman pointed out right?
00:09:35: Exactly!
00:09:36: Newman provides the counterweight here.
00:09:38: yes AI can scale the creation of a personalized microsite for five hundred accounts instantly sure But human attention remains intensely scarce.
00:09:49: An AI agent cannot take a chief financial officer out to dinner.
00:09:52: No, it can't.
00:09:54: an AI agent is not coordinating your internal solutions engineers Your partner ecosystem and the client's procurement team To push a complex seven-figure deal across the finish line.
00:10:04: because of the enterprise account executive only has Forty or fifty hours in a week.
00:10:09: they still require Deliberate ruthless prioritization to know where to actually invest their relationship capital
00:10:15: Exactly.
00:10:16: You cannot just unleash AI and declare that account tiers are dead.
00:10:20: And the reality of those finite sales hours brings us to what Chris Murray calls, The Venn Diagram Problem.
00:10:26: I love this analogy Me
00:10:27: too.
00:10:28: If you ask an enterprise marketing leader if they're aligned with sales They will confidently point to their shared target account list.
00:10:34: Of course they will
00:10:35: But...if you draw a Venn diagram You know..the left circle being the specific human beings Marketing is spending budget to reach And the right circle being that contact sales is actually cold calling?
00:10:46: The overlap is practically non-existent in most cases.
00:10:50: Almost zero.
00:10:51: Murray actually shared an audit of a large enterprise account, it's frankly terrifying!
00:10:55: Let
00:10:55: us hear it...
00:10:56: The sales team was aggressively and blindly prospecting over nineteen thousand contacts within an organization marketing had never once touched.
00:11:05: Oh my gosh Just
00:11:07: pure abrasive cold outreach.
00:11:08: Exactly
00:11:10: Meanwhile of the specific contacts who would actually click to marketing ad.
00:11:14: The absolute warmest people exhibiting real engagement
00:11:17: Right, the ones raising their hands.
00:11:19: Only eighteen percent received any follow-up from sales whatsoever.
00:11:22: That is insane.
00:11:23: They were perfectly aligned on logo building but totally hopelessly misaligned On actual human beings inside it
00:11:30: Which really a symptom deeper failure in how we handle timing and signals.
00:11:35: Totally!
00:11:40: And honestly, they often have good reason not to.
00:11:44: Yeah Nick Abraham was highly skeptical of traditional enterprise intent data vendors for this exact reason.
00:11:50: right because if you pay For an account level intense signal that a hundred thousand person global Enterprise is surging for the topic B-to-B lead generation
00:12:00: What do you actually?
00:12:01: Do with that
00:12:01: exactly?
00:12:03: It is functionally useless if the platform cannot tell you exactly which of those hundred thousand employees, Is The one running the search.
00:12:11: You're paying six figures for a dashboard that essentially just tells you to guess?
00:12:14: Yep Vladimir Blagojevich backs this up too pointing out That the entire industry has conflated intent data with an actual buying signal.
00:12:23: Oh absolutely BDB teams get so frustrated with these expensive intent vendors because they take a generic topic surge or even just anonymous website visit and immediately treat it as the bottom of funnel lead ready for demo.
00:12:36: They completely ignore the buyer's journey!
00:12:38: Right,
00:12:39: to map that journey you have look at behavioral patterns not isolated data points.
00:12:44: Yance Sarfati breaks down the critical difference between signal and insight.
00:12:48: Okay what is the difference?
00:12:49: A signal is just raw event…what happened?
00:12:52: And Insight tells you why it matters.
00:12:55: Got It!
00:12:56: For example, if a prospect visits your pricing page three times in four days and then spends ten minutes on the API integrations page?
00:13:03: That is a pattern….
00:13:04: …and the insight that they are actively building up business case and auditing their tech stack.
00:13:09: Exactly!!
00:13:10: If an SDR calls them at this exact moment and asks hey do ya have fifteen minutes for demo?
00:13:14: They're disrupting the buyer's workflow
00:13:17: Right...they don't want to demo?
00:13:18: right?
00:13:18: The correct outreach is proactively arming them with technical documentation for their engineers.
00:13:24: Yes, and Sarfati's point about the expanding buying committee is where this gets really strategic.
00:13:30: Tell me more about that.
00:13:31: See how Vice President spends time reading a deep dive comparison page against your biggest competitor And then two days later traffic from that same account hits your site But this time it someone from IT or procurement.
00:13:43: So the evaluation has officially moved out of the VP hands.
00:13:47: exactly The champion is sold.
00:13:50: When IT shows up, marketing's job isn't to retarget the VP with more product features.
00:13:55: it's instantly deploy security and compliance one-pagers so your champion can defend you tool internally.
00:14:01: That makes total sense.
00:14:02: Now, I want to tackle a common frustration here though.
00:14:05: whenever marketing tries to get an enterprise sales team To buy into a new ABM motion the wraps usually just roll their eyes at intense scores and website traffic patterns.
00:14:15: Oh they hate it.
00:14:16: They've been burned by bad MQLs way too many times right.
00:14:20: So what is the single most credible signal?
00:14:23: Marketing can bring to a sales floor to instantly command Their attention interest.
00:14:27: Tyler Plyce has the definitive answer for this.
00:14:30: It's closed, lost and churned accounts.
00:14:33: Oh really?
00:14:33: Yeah
00:14:34: it is brilliant in its simplicity.
00:14:37: think about when a net new account lights up on an intent dashboard A sales rep has to take a massive leap of faith On a black box algorithm And guess the job titles Of The Committee?
00:14:46: Right.
00:14:47: But When A Closed Lost Account From Nine Months ago Suddenly Surges The Rep Already Knows The Exact Names On The Buying Committee.
00:14:54: They know the exact operational pain they were trying to solve.
00:14:57: They know this specific feature gap or budget constraint that stalled the deal in the first place?
00:15:02: Yeah, you aren't handing them a generic lead.
00:15:04: You are handing them high-context intelligence on a relationship they already own.
00:15:09: and then high context Intelligence is exactly what separates effective execution from The spam we talked about at the beginning of this deep dive.
00:15:18: let's loop back to that for second.
00:15:19: Charles Royce mentioned that SAS CEO, the one who sent five thousand custom emails a week with a zero point one six percent reply rate.
00:15:28: Right why did that fail so spectacularly?
00:15:31: Well The AI did exactly what it was programmed to do.
00:15:33: It scraped college mascots its summarized recent podcast appearances and it pulled quotes from financial filings.
00:15:40: But the executive buyer rejects it instantly.
00:15:42: Instantly Why?
00:15:43: Because scraping a college mascot signals a highly transactional mindset.
00:15:48: It proves you know how to use a web scraper, but it proves absolutely nothing about your understanding of their operational pain.
00:15:54: Exactly!
00:15:55: Real personalization?
00:15:57: Diagnostic personalization where... You actually challenge there worldview or solve specific workflow issue.
00:16:03: that cannot be faked by language model.
00:16:06: just summarizing linked in profile.
00:16:08: But doesn't mean AI is useless for outreach right?
00:16:10: Not at all.
00:16:11: Just means it belongs behind the scenes.
00:16:13: Champ Bennett shared a wildly successful use case of AI actually facilitating human connection rather than replacing it.
00:16:20: Oh, I saw this one the video scale right?
00:16:22: Yeah
00:16:23: His team uses a clawed powered video agent built on a platform called capsule.
00:16:27: But instead of having AI write a fake email pretending to care The AI does the heavy lifting of researching the account and preparing highly strategic customized script.
00:16:37: And then what happens?
00:16:38: that script is just loaded into a teleprompter.
00:16:41: The mechanism there is what drives the conversion.
00:16:44: For sure, the SDR just sits down hits record and delivers the AI research script.
00:16:49: Yeah And all of heavy video editing lower third graphics dynamic cutaways to a customized product demo.
00:16:56: All that happens automatically in background
00:16:58: But prospect on receiving end gets a video featuring real human face with real human inflections speaking directly.
00:17:05: their company specific challenges
00:17:07: Friction of video creation removed But the human element is perfectly preserved.
00:17:12: They are seeing click-through rates of fifteen percent or higher,
00:17:15: which is what?
00:17:16: Fifteen times the industry benchmark for cold outbound.
00:17:19: easily it's incredible.
00:17:20: but you know The infrastructure required to make those high touch plays work at scale Is pretty intense.
00:17:26: Oh definitely bdb databases decay roughly thirty percent a year.
00:17:30: people change jobs companies change domains.
00:17:32: right harsh agarwal actually shared A breakdown Of an n eight and enrichment waterfall.
00:17:38: that perfectly illustrates how much operational engineering is required before a single email has even drafted.
00:17:43: Yet it his team do.
00:17:45: Well, they meticulously researched five hundred target accounts for campaign but when the ran that list through standard e-mail lookup tool They only yielded about one hundred safe verified emails.
00:17:55: Ouch!
00:17:56: So eighty percent of handpicked highly qualified TAM was just wiped out instantly.
00:18:01: Exactly If you just rely on a single enrichment provider and they return a not found or catch-all status, that account is effectively dead.
00:18:09: And if your guess didn't hit the hard bounce?
00:18:11: You completely destroy your domain reputation!
00:18:13: Right?
00:18:14: So Agrawal's team built a failsafe multi step waterfall in Naden.
00:18:19: First The workflow checks their internal suppression lists to ensure They don't accidentally email an existing customer Or someone who opted out That smart.
00:18:28: Then it automatically expands the search horizontally across the account.
00:18:32: You know, looking for a VP of engineering then stepping down to head engineer than director.
00:18:37: That structural expansion is clever but sequential API routing.
00:18:40: really the engine there right?
00:18:42: Oh absolutely!
00:18:43: The workflow pings any mail finder first.
00:18:45: if an email doesn't have verified hit it automatically routes request to lead magic.
00:18:51: And if lead magic fails it queries quick and rich.
00:18:54: Yes It sequences through different providers because every single vendor has blind spots in their database.
00:19:00: By chaining them together, each tool only fires if the previous one fails
00:19:04: Which preserves API credits
00:19:06: Exactly.
00:19:06: But more importantly it rescues hundreds of highly qualified accounts from just dying on the vine Because One Database happened to be out-of-date!
00:19:14: It all roots back To our very first point doesn't it?
00:19:17: AI and automation are not the go-to market strategy itself.
00:19:21: No, they are the
00:19:22: infrastructure.
00:19:22: They make a sophisticated account based operating model viable at scale without destroying your domain reputation or team sanity.
00:19:32: Right?
00:19:33: But you know this whole system The automated routing rules Intent signal analysis Dynamic video generation.
00:19:41: It only really works if you remember to occasionally step out of digital echo chamber.
00:19:46: That is so true
00:19:48: Irene and Jordan actually provides a super provocative final thought for us to mull over regarding where ABM is heading next.
00:19:56: Oh, this is the part about digital search visibility right?
00:19:59: Yeah
00:19:59: Right now every marketer is just obsessing over Digital AI Search Visibility.
00:20:06: You know we are desperately optimizing our content so that chat GPT or perplexity recommends Our brand.
00:20:12: when a buyer asks a question
00:20:13: which I mean digital discoveries table stakes now.
00:20:17: But Jordan argues the real flywheel is connecting that new digital search behavior with offline, real world ABM execution.
00:20:24: Wait how do you mean?
00:20:25: Her challenge just to figure out exactly what complex strategic questions your top target accounts are asking.
00:20:31: these AI engines become the definitive authoritative answer to those questions online sure but then take it completely off line Send a highly personalized tactile gift related to that exact problem, or host small curated closed-door dinner for ten executives who are all struggling with the specific issue.
00:20:49: That is brilliant!
00:20:51: You have to give AI reason to recommend your brand but you also need human beings to trust it.
00:20:56: Exactly.
00:20:57: Digital discovery makes you visible...but real world experiences make you memorable.
00:21:02: If you enjoyed this episode, new episodes drop every two weeks.
00:21:05: 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.
00:21:14: Thank you so much for joining us on this deep dive.
00:21:17: Don't forget to subscribe And we will see you next time as we continue to decode the evolving world of btb strategy.
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