Marketers of Technology

In this episode of The Marketing Front Lines, we speak with ⁠Kusum Chanrai⁠, Marketing Advisor and former growth marketing leader at Culture Amp. Kusum built Culture Amp's organic growth engine from the ground up — turning a paid-dependent funnel into a machine where 20% of leads and customers came from organic content within a single quarter, while cutting cost per lead by 50%. The conversation spans the full arc from SEO to AEO to GEO: what actually drives discovery and conversion in an AI-first world, why community-led growth failed most brands that tried it, and why the brands winning on organic today invested in authentic internal voices years ago.

Topics Discussed:

• Building a three-pillar SEO machine that cut cost per lead by 50% in one quarter

• Why comparison pages convert harder than almost any other content type

• How Culture Amp's People Geek community became a parallel brand — and why trying to unify it nearly killed it

• The real difference between AEO and GEO, and which one to prioritize first

• Why community-led growth worked for Culture Amp and Lovable but would fail for Google

• Why ungated content, employee advocacy, and third-party signals now matter more than ever for AEO

• Why press releases and newswires are back — and what that tells you about AI discovery

• The one thing every marketer should do before building any content strategy

Lessons For B2B Marketers:

• Start with your best customers, not your best guesses. Kusum's first move at Culture Amp wasn't to launch content at scale — it was to open the CRM and map the profiles of customers with the highest ACVs and the loudest advocacy. That ICP clarity drove keyword selection, which drove content, which drove both rankings and sales-cycle acceleration. The pilot ranked in the top eight within two weeks of the first article going live.

• Comparison pages are the highest-leverage content type most marketers underinvest in. The Culture Amp SEO engine ran on three pillars: comparison pages, engagement survey guidance content, and guest posts. Comparison pages were the standout — they converted aggressively and gave sales reps a credible asset to break through ghosting. The key insight: most competitors are too nervous to publish honest competitive comparisons, which means the few who do get disproportionate traction.

• Employee advocacy scales when you stop managing it and start unleashing it. Culture Amp identified their strongest internal storytellers — the "weird ones," as Kusum puts it — and gave them permission to talk about customers, culture, and whatever they wanted as long as it connected back to the brand. The result was significant web traffic lift and share of voice on LinkedIn that continues to compound today. The playbook isn't a content calendar. It's finding people who genuinely want to talk and removing the barriers.

• Gating content is almost always a mistake. Kusum called it one of the most foolish things Culture Amp did. Beyond the obvious SEO cost, it constrains the education of the very audience you're trying to win. With AI tools already able to identify who those visitors are, the logic for gating collapses entirely. Her revised view: embed community assets directly into your main domain to strengthen authority, not splinter it.

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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership.⁠ www.FrontLines.io⁠

The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.⁠ www.GlobalTalent.co⁠

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Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.

Subscribe here:⁠ https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM⁠

In this episode of The Marketing Front Lines, we speak with Anna Savina, Head of Marketing at Archetype AI. Archetype AI is building Newton, a physical AI foundation model that works with sensor data from existing industrial equipment — conveyor belts, turbines, energy grids, automotive systems — to give operators real-time insights and enable predictive maintenance across industries. Unlike LLMs that operate within the digital ecosystem, Newton interprets physical-world signals and bridges the gap between raw sensor data and actionable decisions. Archetype's early customer roster includes T-Mobile, NTT, and Hazama Ando Corporation, Japan's largest construction company. Anna shares how she's navigating the challenge of marketing an entirely new category — one where the definition is still being written — while managing three distinct audiences simultaneously and building the story that makes operators finally take physical AI seriously.

Topics Discussed:

• Marketing at the frontier of a category that has no agreed-upon definition

• Why Anna's journalism background changed how she builds narrative inside a research-led company

• The three-audience problem: researchers, enterprise buyers, and the broader AI community

• Why Archetype treats partner marketing with AWS and NVIDIA as category infrastructure, not a co-sell motion

• How to translate research papers into demand-generating content without losing technical credibility

• The internal debate over naming: when "agent" is the wrong word for what your product actually does

• The 2026 marketing bet: customer success stories as the primary demand lever

Lessons For B2B Tech Marketers:

• Treat narrative-building like investigative reporting, not message amplification. When Anna joined Archetype, the founding team came from Google Advanced Technology Lab, NASA, and the MIT Media Lab — all with strong opinions on how the technology should be described. Rather than picking a position and pushing it outward, she ran an internal process that looked more like journalism: surfacing different points of view, stress-testing them against audience reactions, and finding the version of the story that was actually true. For marketers entering technical, research-heavy companies, this framing shift matters — your job is not to amplify a pre-approved narrative, it's to discover the right one.

• Segment your content strategy by audience, not just by funnel stage. Archetype serves three fundamentally different audiences at once: the AI and research community (who care about technical precision, peer-reviewed papers, and conference presence), enterprise buyers and operators (who respond to white papers, use cases, and ROI narratives), and a broader general audience tracking the physical AI space. Anna maps completely different content formats to each. A research paper that gets published becomes a conference talk for researchers and a translated white paper for business leaders — the underlying signal is the same, but the surface area changes entirely by audience.

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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io

The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co

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Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. 

Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Shownotes & Key topics discussed:

In this episode of The Marketing Front Lines, we speak with Justin Vogel, Co-Founder & CMO of Safary, the leading customer data platform for crypto. Before Safary existed as a product, Justin spent two years building the industry it would eventually serve — mapping every growth leader in crypto, forming the first invite-only operator community, and establishing category authority before he had anything to sell. That trust-first sequencing became the engine that took Safary from community to $2.4M pre-seed to a platform used by the most sophisticated crypto companies in the world.

Topics Discussed: 

• Building a community before a product to establish category trust 

• Using credibility stacking to bootstrap authority as an outsider 

• Why Safary made their certification paid — and how that drove higher adoption 

• The Web2 vs. Web3 targeting paradigm: demographics vs. transaction history 

• Why crypto companies optimize for narrative over revenue, and how that's changing 

• How to deploy community-led growth before you have an ulterior motive

Lessons For B2B Tech Marketers:

• Build Trust Before You Have Something to Sell: Most companies launch community as a growth tactic once they've hit scale. Justin did the opposite — spending two years building Safary Club with no product to promote. When Safary finally launched its tech platform, it entered a market it had already built. The community wasn't a channel. It was the foundation.

• Bootstrap Credibility Through Association: Justin had no reputation in crypto when he started. His move was to identify one legitimate anchor — Ludo, Head of Growth at Ledger — and use that first endorsement to attract the next 40. That chain of association turned an outsider into the perceived category leader within months.

• Make Your Educational Product Paid to Increase Its Value: When Safary launched the Safary Certification, they charged $300 per seat and later raised it to $600. The paid structure drove higher completion rates than the free courses that preceded it. Of the estimated 3,000–4,000 crypto marketers in existence, approximately 450 — 10 to 15% of the entire profession — have completed it.

• Rethink Targeting Based on Available Data: In Web2, marketers use demographics to predict purchases. In crypto, the model inverts: identity is opaque but transaction history is public. What someone has bought is a more accurate predictor of future behavior than who they are — a fundamental shift in how segmentation should be structured.

• Keep Community Small to Preserve Its Value: Safary Club's largest cohort was 80 people. After eight batches, total membership sits around 350. That ceiling is deliberate. The scarcity is what makes the badge meaningful — members join because being in Safary Club signals top-operator status.

• Sequence Community Before GTM: The window to build authentic community trust closes once you have a product to sell. Companies that launch community post-product are perceived as having an ulterior motive. The only way to build trust that converts is to show up with nothing to gain.

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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co

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Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. 

Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM // 

In this episode of The Marketing Front Lines, we speak with Brian Fiore-Silfvast, Head of Marketing at Integrate — one of the first ultra-secure, AI-enabled project management platforms built for running complex defense and government programs. Brian joined as Integrate's first marketing hire, inheriting a strong brand skeleton built by a co-founder with a product and creative background, and has been doing the harder work since: connecting the dots into a coherent, consistent marketing system. In this conversation, he breaks down how he makes the case for brand investment without forcing it into a conversion metric, how his team built a precision AI creative stack by connecting Midjourney, Claude, InDesign, and Figma, why he built a context-rich naming framework that lets every engineer at the company name product features on-brand with minimal review — and the positioning process he runs every time he walks into a new company as the first marketing hire.

Topics Discussed:

• Why brand ROI arguments fail when they rely on single data points — and what to present instead

• The positioning artifact Brian builds before touching any other part of the marketing engine

• How Integrate's connected AI creative stack works: Midjourney + Claude + InDesign + Figma

• Using Claude Projects to democratize feature naming across an entire engineering org

• The naming decision tree: category creation vs. category amendment, and how to tell which game you're playing

• How "silicon batteries" became a defined industry category — and what the mechanic was

• Rubber balls and crystal balls: a practical framework for prioritization in high-ambiguity startup environments

Lessons For B2B Marketers:

• Stop trying to justify brand with a single metric — present the system instead. The instinct when a CFO pushes back on brand spend is to reach for a number. Brian's argument is that this framing is the problem. Brand ROI can't be reduced to a click-through rate or a conversion — those measure campaign performance, not brand health. His approach is to demonstrate the system: message consistency across channels, board deck alignment, press message repetition, event presence, and how the business as a whole communicates to customers and partners. The ask isn't "approve this campaign." The ask is "this is the water everything swims in." That's a different conversation — and it requires having a CEO and founders who already have belief in what brand is doing, which Brian notes Integrate's leadership does.

• Build the positioning artifact first. Touch nothing else until it exists. Brian's first move at Integrate wasn't redesigning the website or refreshing the social presence. It was running the full team through a structured process to lock in audience positioning, messaging, product benefits, where the company wants to be, and where it actually is today. The output is a single artifact that becomes the anchor for every downstream decision — design, PR, OOH, messaging. His framing: it's like planting your ski pole before making the turn. Without it, you're reacting to whatever gets thrown at you. With it, you can move the entire marketing engine in a consistent direction. For anyone walking in as a first marketing hire, this sequencing matters more than almost anything else.

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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io

The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co

Don't Miss: New Podcast Series — How I Hire — Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

As AI compresses the cost of content production toward zero, the question B2B marketers now face isn't how to produce more — it's what only a human can actually say. In a recent episode of The Marketing Front Lines, we sat down with Kevin Lynch, a veteran B2B content marketer whose career spans PR, journalism, and SaaS marketing across verticals from logistics to Microsoft to enterprise software. Kevin shares his framework for extracting organizational POV, why he believes the content team org chart needs to be thrown out and rebuilt, and how a line from Nietzsche — borrowed from the Oracle of Delphi — captures everything a content leader needs to know heading into 2026.

Topics Discussed:

• Why the standard content team structure needs to be scrapped and rebuilt around AI collaboration

• The two content formats Kevin believes are genuinely AI-proof

• A yin-and-yang brand identity methodology for extracting what organizations can never quite articulate about themselves

• Why true thought leadership is making a comeback — and what replaces the ghost-written Forbes op-ed era

• The counterintuitive truth about where AI slows Kevin's process down (and why that's a feature)

• His single piece of advice for every content leader in 2026

GTM Lessons For B2B Marketers:

• Throw out the content team job descriptions — they're the wrong starting point. Kevin's argument isn't that AI will replace content roles. It's that the existing role definitions were never built for a world where AI is a collaborator. Editors, proofreaders, developers — everyone has been operating from rigid job descriptions tied to legacy performance expectations. His prescription: get the team in a room, have each person articulate what they actually do, what the business needs, and where AI changes the equation. The restructuring should follow that conversation — not precede it.

• The two content formats that are genuinely AI-proof: customer stories and real thought leadership. Kevin drew a clean line here. The customer testimonial conversation — a real person explaining why a product changed something for them — can't be manufactured. And authentic thought leadership, the kind where a practitioner actually has a point of view earned through experience, is immediately distinguishable from AI-generated content. His exact framing: "You just can't fake it. And when it is AI-generated, you can smell it a block away." Marketers who double down on these two formats are building content equity that compounds regardless of what the tools do next.

• Ghost-written op-eds that circle back to product features are finished. Kevin named the specific format that's dying: the trend piece that always manages to lead back to whatever the company sells. That era of "thought leadership" was already low-value; AI has simply made it indistinguishable from noise. What replaces it is harder — original thinking, clearly expressed, that doesn't need to sell anything to be worth reading. Kevin's framing: "True, deep thought articulated in a cogent way is going to make a comeback."

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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io

The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co

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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.

Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Thalía Diedrick, VP of Marketing at GoTu — a dental industry marketplace connecting practices with dental professionals. Thalía took her marketing team from 13 people to 3 and simultaneously cut quarterly spend from $1.2M to $260K, a 78% reduction. Rather than treating that contraction as a crisis, she used it as a forcing function to rebuild the entire marketing function around AI-native infrastructure — and then helped close a Series A in the process. This conversation covers the hard internal conversations that actually made it work, the "modular infrastructure" framework her team uses to manage AI tools without chaos, and what it looks like to build the marketing org of the next five years right now.

Topics Discussed:

• How a 78% budget cut became the catalyst for building an AI-native marketing org

• Eliminating stigma around AI use within a small team: the internal culture shift that preceded everything else

• Moving from headcount reduction to capability expansion: what "AI-native" actually means operationally

• Building a "modular infrastructure" for AI tools that survives model churn

• Daisy-chaining specialized AI functions — including a compliance skill, email writing skill, and AI Scrum agent

• The ROI framework GoTu uses to evaluate every AI build: time savings vs. revenue generation

• Why people hold AI to a higher standard than human processes — and why that's irrational

• How career growth changes for marketers when team size stops being the proxy for seniority

• Building with Open Claw agents, Claude Code, and Lovable as a non-technical marketer

Lessons for B2B Marketers:

• Destigmatize AI use before you deploy any tools. Two and a half years ago, when Thalía took over as interim head of marketing, her first move wasn't a tool rollout — it was a cultural reset. She told her team of three to do everything with ChatGPT and removed the shame around it. People were embarrassed that AI was doing "their job." Thalía's framing: at this team size, not using it just slows everyone down. That permission structure preceded any meaningful adoption. If your team is still hiding their AI usage from each other, the bottleneck isn't the tools.

• Architect for model churn, not for today's favorite LLM. GoTu calls their approach "modular infrastructure" — and the explicit design goal is plug-and-play portability. They've already cycled through custom GPTs, Google Gems, and Claude skills. Their solution: document the use case, the context, the brand rules, and the expected output, not the specific model. The LLM is the function; the documented instructions are the institutional knowledge. When the next model supersedes the current one, the swap is a five-minute configuration change, not a rebuild.

• Daisy-chain specialized functions rather than building one monolithic AI tool. GoTu's content workflow runs through sequential, purpose-built skills: a compliance skill flags legal concerns first, then the output flows into a blog writing function built on their brand voice and reference materials. Thalía's principle: the more specialized the function, the better the output. Trying to build one AI that does everything well produces mediocre results across the board. Build narrow, document thoroughly, and chain them together.

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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io

The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co

Don't Miss: New Podcast Series — How I Hire. Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Sift is a late-stage fraud management platform helping companies detect and prevent fraud across payments and account takeovers. In a recent episode of The Marketing Front Lines, we sat down with Johannes Hoech, CMO at Sift, to get into the actual mechanics of what's working — and what's dying — in B2B pipeline building right now. Johannes brings a rare combination: a decade in product management, a front-row seat to the early days of ABM and predictive revenue through a close contact at Marketo, and 15+ years obsessively focused on demand generation. What follows is a candid breakdown of how he's rethinking channel mix, ICP targeting, AI deployment, and what he calls the "limbic tickle" — the thing that earns a buyer's attention in 30 seconds or not at all.

Topics Discussed:

• The three forces permanently reshaping B2B marketing: measurability, shrinking attention spans, and AI

• Why marketing to the limbic system now outperforms rational, feature-led approaches

• How Johannes tracks dollar-in to revenue-out by lead source — and what that revealed about channel mix

• The death of cold email and why LinkedIn automation is next

• What actually makes cold calling work today (and why most teams are still doing it wrong)

• Why intent signals have weak downstream correlation to actual demand — and what he uses instead

• Direct mail, small gifts, and curated dinners: the physical-world channels making a comeback

• The 6-month shelf life rule for marketing tactics

• Using AI to analyze 50–100 prospect calls at scale and extract differentiation patterns

GTM Lessons For B2B Founders:

• Track pipeline economics by lead source, all the way to revenue. Johannes built a tool in his own startup specifically to measure spend efficiency from first touch to closed revenue — six months downstream — by individual lead source. LinkedIn invites, cold email, conferences, referrals: each gets its own dollar-in, dollars-back calculation. Most teams measure activity metrics or even MQLs and stop there. The discipline is running it through to actual revenue and letting that number drive channel allocation decisions week over week.

• Add psychographic filtering to your ICP — firmographics alone won't get you there. Johannes targets fraud management professionals at Sift, ranging from individual contributors to director level. But he's explicit that vertical, company size, and geo aren't enough. In both of his companies, he sells to early adopters — people who want a performance edge. That's a personality profile, not a demographic. If you haven't built psychographic criteria into your ICP definition, you're handing your SDRs a targeting model that will surface the right companies but the wrong people inside them.

• Cold outbound email is effectively dead; cold calling still works — but only after doing the hard homework. The spray-and-pray database model is finished. What Johannes sees working is tight ICP + tight differentiation, translated into what he calls a "high limbic tickle" — something thought-provoking enough that a prospect wants to hear more. The call's job is to inform and build trust, not to push toward a sale. His SDRs are getting real traction. The difference is the quality of the pre-call research, not the volume of dials.

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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io

The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co

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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. 

Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Nis Frome, a marketing consultant who spent seven years co-founding and scaling Feedback Loop — an on-demand market research platform that navigated the political minefield of selling into Fortune 500 R&D teams. After selling the company in 2021, Nis transitioned to fractional consulting, where he now works with B2B SaaS companies making the often-turbulent shift from self-service and SMB into enterprise. Today, he shares the specific playbook he runs at Coderbyte — a talent evaluation platform serving 50+ Fortune 500 companies with a team of five — covering everything from infosec positioning to pricing psychology to pre-call prep tactics that eliminate surprises before they become deal-killers.

Topics Discussed:

• Why self-service is a product-forcing function — but not an enterprise-forcing function

• How Coderbyte went from SMB-only to 50+ Fortune 500 clients with a five-person team

• The psychology of the enterprise buyer and why they need to be made to look good, not just sold to

• Using a pre-built infosec questionnaire to flip the dynamic with security review teams

• Why you need a "flagship" tier on your pricing page that no one is supposed to buy

• The 90-day out clause as a trust signal rather than a contractual risk

• Why writing a three-paragraph email response is an enterprise red flag

• The "no surprises" operating principle for navigating sales calls

Lessons for B2B Marketers:

• Treat the Enterprise Buyer's Career Risk as Your Actual Sales Problem. Enterprise stakeholders who buy from startups are taking a personal career bet, not just a procurement decision. There is no rational reason for them to do it — they could get fired if it goes wrong and receive no outsized reward if it goes right. That means your real job in marketing and sales is to make them look good to their boss and eliminate every possible signal that working with you was a mistake. Every surface — your website, your email responses, your contract, your Zoom background — either adds or removes career risk for that buyer.

• Build and Send a Pre-emptive Infosec Questionnaire. Rather than waiting for a Fortune 500's security team to send a review document, Coderbyte compiled questions from multiple enterprise infosec reviews over the years into a single comprehensive spreadsheet and now proactively sends it after every demo call. The result: infosec teams respond impressed, sometimes borrowing questions for their own future reviews. The signal it sends is unambiguous — this vendor has been through this process dozens of times. At five people, you can create a document that makes you look like a company 100 times your size.

• Never Answer a Common Question with a Freshly Written Email. If a prospect asks a question and your response is three paragraphs of original prose, you've just told them you've never been asked this before. Every common question should have a help center article, an explainer doc, or a linked resource — even if you have to write it on the spot to answer that question. The reply should reference the asset, not replace it. This is one of the cheapest and highest-leverage ways to signal institutional maturity.

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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io

The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co

Don't Miss: New Podcast Series — How I Hire — Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR. 

Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Kamron Kunce, the first-ever CMO in the 70-year history of RJ Young, a Southeast-based leader in print and technology solutions. Kamron was brought in to do something no one had done before: transform a sales-driven organization's marketing function from a silo into a genuine revenue growth partner. He shares how he's built a lean, high-ownership marketing team, how he approaches pipeline attribution in a company that runs on field sales, why he owns NPS as a marketing metric, and how RJ Young's COVID-era pivot to tech solutions became the foundation for an entirely new national brand — VelocityOne.

Topics Discussed:

• How RJ Young doubled from $100M to $200M in revenue by launching new tech solutions post-COVID

• The genesis and strategy behind the soft launch of VelocityOne, RJ Young's new national managed services brand

• What it looks like to be the first CMO in a 70-year-old sales-first company

• How Kamron builds and structures a small marketing team with broad ownership

• Why he favors generalists and "hardcore passionate problem solvers" over specialists

• How marketing earns trust from sales by speaking their language and bringing data to every conversation

• Using campaign IDs in Salesforce to build genuine pipeline attribution

• Why Kamron owns NPS as a marketing metric — and how RJ Young scores above 90

• Using AI-powered call transcripts to close the customer feedback loop

• The three-pronged framework: data, customer conversations, and the human element

• Why the best campaigns start with a real conversation, not a spreadsheet

Lessons for B2B Marketers:

1. Earn the sales team's trust before you earn their cooperation. Kamron inherited 70 years of marketing being treated as a cost center. His approach wasn't to rebrand the marketing function — it was to show up with data, clear asks, and direct answers to the question every sales leader is already thinking: "What's in it for us?" That shift, done consistently, is what converts marketing from a creative group with big ideas to an actual growth partner.

2. Pipeline influence is only measurable if you build the infrastructure for it. Kamron's team creates campaign IDs directly in Salesforce at the start of every initiative, then does regular check-ins with sales reps to keep attribution intact across the deal journey. This requires building real relationships with salespeople — because salespeople don't update CRMs unless someone they trust asks them to. The data doesn't track itself.

3. Own NPS even when you didn't build it. Kamron treats NPS as a marketing metric, not just a customer success metric. His reasoning: the score tells you whether marketing is making promises the company can actually deliver on. At RJ Young, NPS sits above 90 — a number he attributes to the DNA of the company, not any single campaign or team.

4. Use AI to close the customer listening loop, not to replace it. RJ Young runs AI agents on inbound customer calls to generate transcripts and analyze sentiment. That data doesn't stay in a dashboard — it flows back into marketing decisions, from FAQ content on the website to identifying product-level friction points. The technology is useful specifically because someone is responsible for acting on what it surfaces.

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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io

The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co

Don't Miss: New Podcast Series — How I Hire — Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode of The Marketing Front Lines, we speak with Rod Hess, a seasoned B2B marketer whose career spans SEO, content strategy, email, social, and growth — with deep roots in the startup world. Rod shares his perspective on why the fundamentals of marketing have never changed, why authenticity can't be manufactured, and what it actually means to build content that outlasts algorithm updates and AI noise.

Topics Discussed:

• Why SEO isn't about hitting a word count — it's about making your words count

• The real reason backlinks matter less today (and what's replacing them)

• How SEO and AI-powered search converge into one discipline

• Why zero-click search is accelerating a pendulum swing back toward human connection

• The difference between authentic marketing and manufactured authenticity

• How to apply Sturgeon's Law to your content strategy

• What Ogilvy on Advertising still teaches modern marketers

• Why a point of view is one of the most valuable assets you can develop

• The danger of letting AI replace your marketing judgment, not just your tasks

Lessons for B2B Marketers:

• Write for the customer first — SEO follows from that. Rod's foundational principle: content that answers a real question and solves a real pain point will outlast any algorithm update. Chasing keyword density and word count targets is chasing an algorithm. Chasing your customer's actual question is building a durable asset. The best SEO content and the best customer content are the same content.

• Backlinks are becoming a vanity metric — zero-click search is the real shift to watch. Rod's view is that the meaningful signal is moving away from backlinks for two structural reasons: major publications have shifted to no-follow links, stripping most SEO juice; and AI platforms increasingly answer queries without sending users anywhere. When the answer lives inside the search experience, your backlink profile stops mattering. What matters instead is whether your content actually gets cited.

• SEO and AI-native search will converge — and that convergence forces a pivot to social and in-person. Rod sees SEO and tools like AI-powered search engines merging into a single discovery layer. The implication for marketers: as zero-click search pulls traffic away from websites, the platforms that require human presence — social media, events, in-person — become structurally more important. Distribution strategy needs to evolve accordingly.

• Manufactured authenticity is worse than no authenticity at all. Rod's distinction is sharp: companies that chase whatever the current trend says authentic marketing looks like often create the opposite effect. Authenticity is brand-specific — what reads as genuine for McDonald's reads as a crisis for Lockheed Martin. Experienced marketers know what a brand is, and more importantly, what it isn't. That judgment can't be shortcut.

• Apply Sturgeon's Law to your content: 95% of what's out there is low-quality — be the 5%. As AI-generated content floods LinkedIn, Reddit, and the web more broadly, Rod sees a coming backlash. The window of advantage is real and finite for marketers who maintain human-authored, genuinely differentiated content. The marketers who protect that signal today will be the ones audiences turn to when the backlash arrives.

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