Marketers of Technology

Swiss GRC delivers governance, risk and compliance, business process management, and contract lifecycle management software in a single integrated platform. The company grew out of Swiss InfoSec, which has operated since 1989. Its modular approach lets clients start with two or three modules and scale from there. Financial institutions make up a large share of the client base because regulators require banks to demonstrate risk management frameworks. Clients include Qatar National Bank and a royal family office in Abu Dhabi.

In a recent episode of The Marketers of Technology, we sat down with Yahya Mohamed Mao, CMO and member of the Executive Board at Swiss GRC, to learn how to market a compliance software platform in a market where the category sounds dry, the competition includes billion-dollar US players, and your brand name carries a pricing expectation before the sales call begins.

Topics Discussed:

• How Yahya went from refusing to study marketing to CMO and executive board member at Swiss GRC
• Why GRC software seemed like the wrong category for a marketer and why he took the job anyway
• How Swiss GRC markets a modular platform when prospects don't know which module they need
• The competitive landscape: OneTrust, MetricStream, SAI360, Archer, Diligent, and a wave of AI-claiming newcomers doing price dumping
• How Swiss GRC became the market leader in Switzerland and what that means for its global expansion
• The "global reach, local accents" strategy: Switzerland, UK, Germany, Dubai, and beyond
• How marketing tone shifts completely between Switzerland and the Middle East
• The pricing psychology of being Swiss: why being cheaper than expected is a selling advantage
• What the "Rolex of GRC" comment taught Yahya about brand positioning
• Stay curious: why what worked last year will not work this year

GTM & Technology Adoption Lessons:

• When your category sounds boring, reframe your role as an educator. Yahya took the Swiss GRC job specifically because GRC felt like a challenge no marketer wanted. His angle: if people do not understand governance, risk, and compliance, that is an education problem, not a product problem.

• Experience in heavily regulated industries makes every hard category easier. Yahya spent a year marketing for an eHealth startup during COVID, where marketing meant reading regulations to understand what could not be communicated.
• Your brand name creates pricing expectations before the first call. Swiss GRC is priced below the major US GRC competitors like OneTrust and MetricStream. But because the name says Swiss, prospects walk into the conversation expecting premium prices. When they hear the actual number, the reaction is pleasant surprise.

• Market differently by market. In Switzerland and Germany, the approach is pragmatic: here is the software, here is why it beats an Excel sheet, here are the results. In the Middle East, the same company leads with scale, AI integration, brand prestige, and market leadership language. Yahya describes attendees at Middle East conferences who ask "Do you have the AI?" without needing to understand what that means - the buzzword itself creates buying intent.

• Global reach requires protecting the home market as you expand. When Swiss GRC began opening offices in London, Munich, and Dubai, the internal messaging to Swiss clients was explicit: we are expanding, and we have an entire team still dedicated to you.

• Stay curious. Yahya's advice is brief: the thing that worked last year is not working this year. Marketing keeps changing, and the only durable advantage is the willingness to keep learning.

// Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Northflank is a self-service developer platform that automates and unifies deployment of any workload on any cloud at any scale. The platform runs in customers' own VPC or on-premise, which makes it the right fit for government agencies, regulated industries, public companies, and large enterprises where data residency is non-negotiable. Northflank is product-led: developers can self-serve the entire platform without talking to sales. The team is 22 people. The marketing team is three.

In a recent episode of The Marketers of Technology, we sat down with Cristina Bunea, Head of Marketing at Northflank, to learn how a three-person marketing team generates more inbound than they can handle, why community is the wrong channel for developer tools chasing enterprise, and why AI has made hiring writers harder, not easier.

Topics Discussed:

• How Northflank built content into its primary growth channel from the start
• What AEO means in practice: LLMs recommending Northflank before prospects know the product exists
• Why content shortens the sales cycle -- prospects arrive on calls already decided
• The community trap: why Northflank deliberately avoids traditional community marketing and what it costs other dev tools
• How vibe coding and non-technical users became 80% of inbound almost by accident
• Why Northflank works for the non-technical user without having been built for them
• Organic advocacy on X and Reddit: hundreds of mentions per week the team did not generate
• Why AI has made hiring for a marketing role significantly harder
• The advice that cancels itself: why the number one piece of advice for marketing leaders is to be skeptical of advice

GTM & Technology Adoption Lessons:

• Content that educates before the sales call eliminates the pitch. Northflank made a deliberate choice early: invest in content that fully explains the product so that by the time someone gets on a call, they are not evaluating. They are comparing pricing and confirming details.

• AEO is just SEO for the next layer of search. Cristina uses the phrase AEO - answer engine optimization - to describe intentional positioning for LLM recommendations. Northflank now appears when people ask AI tools about deployment options, developer platforms, and use cases they serve.

• Community signals tell enterprise buyers who else is using a product. Cristina's argument against traditional community marketing is specific, not ideological. When enterprise buyers evaluate a developer platform, they look at the community to understand the typical user.

• Non-technical users arrived without a dedicated motion. Northflank was not built with vibe coders and non-developers in mind. But because the API, CLI, and UI were all thoughtfully designed for developer experience, they worked well with coding agents out of the box.

• Organic advocacy is a lagging indicator of product quality. Northflank gets hundreds of mentions per week on X from people the team did not reach out to. That happens because the product works.

• AI has not figured out how to write for humans. Cristina's criticism of AI writing is precise. She says AI is good at writing content that is read by other agents - crawlable, structured, indexable.

• Be skeptical of the advice. Cristina's closing recommendation is to distrust marketing playbooks, including the one she just gave. Every company is different. The prospect dinner trend is oversaturated in the Bay Area. Community is essential for some products and wrong for others.

// Sponsors: Front Lines -- Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Willo is a candidate screening platform that helps hiring teams assess candidates at scale using structured, AI-assisted assessments instead of resumes alone. What launched in 2020 as a one-way video interviewing tool has evolved into a screening platform whose candidates complete assessments in more than 195 countries, with North America now driving roughly 55% of the company's revenue.

In a recent episode of The Marketers of Technology, we sat down with Rachel Thomson, Chief Marketing Officer at Willo, to learn how she runs an 18-person marketing team that is entirely outsourced across nine countries and six time zones, and rebuilt the company's category positioning around language pulled directly from sales calls.

Topics Discussed:

• How Rachel structured an entirely outsourced, 18-person marketing team so it doesn't bottleneck through her
• Why she rebuilt Willo's category positioning from sales call recordings instead of internal consensus
• How segmenting ICP by hiring frequency, not company size, determines Willo's funnel architecture
• Why Willo's biggest demand-gen campaign, CV Free, targets candidates instead of the employers who pay for the platform
• What it means to keep AI limited to surfacing a shortlist while employers retain the final hiring decision

GTM and Marketing Lessons:

• Structure an outsourced team so it runs like a department, not a vendor stack: Willo's 18-person marketing function spans nine countries and six time zones, and every person on it is an agency, fractional, or contractor. Rachel said the real work wasn't assembling the roster, it was forcing direct handoffs between functions: "It takes a bit of heavy lifting, bringing your team together and telling organic to speak to paid. But when that starts to work and they start speaking to each other, it's amazing to see."
• Rebuild category language from sales call data, not internal consensus: When Willo's product expanded past video interviews, Rachel didn't run a positioning workshop. She had the team listen to Gong recordings of live sales calls to hear exactly how customers were describing the product. Customers kept calling it "candidate screening," so that became the external category term, replacing whatever language the roadmap team had been using internally.
• Split ICP by hiring frequency, and let that decide your funnel: Willo's ICP work goes past firmographics. "At a real simple term, we have occasional hires and we have always hiring teams as well," Rachel said, drawing the line between a coffee shop hiring one barista a year and an enterprise hiring daily. That split is what routes a prospect to self-serve sign-up versus a sales-assisted demo.
• Fund demand-gen for the side of the market that never signs a contract: Willo's paying customer is the employer, but adoption depends on candidates agreeing to interview through the platform. As Rachel put it, "The candidate as well has to want to go through an interviewing process with tools like Willo. Otherwise, employers aren't going to come to us and say we need to buy this tool." The CV Free campaign was built to win over candidates, not buyers.
• Let AI own the shortlist, not the decision: Employers feed Willo a "blueprint," their values, job description, and scoring matrix, and every candidate response is scored against it. But Rachel was clear about where the line stays: "The human is always going to make the decision, so the employer is always going to make the decision. What Willo is going to do is just help them get there faster, fairer, and more confidently than ever before."

Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Ethicrithm is an AI advisory organization that helps enterprise companies build self-optimizing operations using the Palantir platform. The company partners with enterprise clients through forward-deployed engineers who sit inside customer operations to solve governance and organizational change management challenges at scale.

In a recent episode of The Marketers of Technology, we sat down with Carrie-Anne Mercer, Chief Marketing Officer at Ethicrithm, to learn how she built differentiated positioning for a two-year-old startup inside a mature partner ecosystem dominated by global systems integrators.

Topics Discussed:

• How Carrie-Anne identified Ethicrithm's positioning within the Palantir ecosystem
• Why forward-deployed engineering became both a delivery model and a source of market intelligence
• How two ISG lens study citations as "product challengers" validated Ethicrithm's positioning strategy
• Why Carrie-Anne built a custom brand health index instead of relying on off-the-shelf measurement tools
• How a self-serve maturity assessment generates qualified demand by letting prospects self-identify their gaps
• What it means to build trust in an ecosystem where third-party validation carries more weight than self-promotion
• Carrie-Anne's marketing philosophy: differentiation over claims of being better
• How a small marketing team selects for impact rather than volume

GTM and Marketing Lessons:

• Find your differentiation inside the customer's actual problem: Carrie-Anne said the company identified two specific areas where customers were struggling to scale the Palantir platform: governance and organizational change management. Because Ethicrithm's engineers were forward-deployed inside client operations, they could see these failure points firsthand. That direct proximity to the customer became the insight engine for positioning.

• Let customers self-identify before the sales conversation: Rather than leading with a pitch, Ethicrithm built a maturity assessment on their website that lets prospects see exactly where they stand. Carrie-Anne said, "We're not telling them where they're falling down, they're telling us where they're falling down, and it's almost as if they're raising their hand."

• Third-party validation is a trust amplifier in crowded ecosystems: ISG, a major analyst firm, named Ethicrithm a product challenger in two categories within their lens reports - notable for a company under two years old. Carrie-Anne used those citations as the anchor for subsequent campaigns, turning external endorsement into awareness and pipeline.

• Measure brand health like a competitive intelligence function: Carrie-Anne built a proprietary brand health index that tracks Ethicrithm against its five nearest competitors across eight weighted indicators including share of voice, SEO and AEO presence, visual identity, and messaging differentiation. She reviews this monthly and shares it with leadership to track competitive movement.

• Differentiate by being different, not just better: Carrie-Anne's core positioning philosophy is to avoid "me too" positioning. She said, "Don't try and claim to be better because everybody is saying me too. Try to be different. So find the areas that you're different at and build out positioning around that because there's going to be a gap in a customer need, and you can probably fill it in that way."

• Stay ready to pivot in a fast-moving AI market: Her advice to any marketing leader in AI is to sit on the edge of your seat and be ready to pivot at any time, because customer perceptions and behaviors around AI are shifting continuously.

Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

VSimple is a workflow-as-a-service company serving dealer distribution networks, equipment companies (forklifts, heavy machinery, agricultural and construction equipment), and commercial interiors businesses across North America. About five years old, it started as a workflow automation platform for lagging technology adopters and recently launched an agentic AI layer focused on translating intake processes into revenue.

In a recent episode of The Marketers of Technology, we spoke with Bronson Cordle, Vice President of Marketing at VSimple, about how he built a B2B marketing motion for an audience that does not click on Google ads.

Topics Discussed:

• How Bronson's background in ministry and warehouse operations shaped his marketing philosophy
• Why VSimple's ICP lives on Facebook, not LinkedIn
• How in-person events became VSimple's most effective trust-building channel for lagging technology adopters
• How multi-channel touch points cut VSimple's sales cycle roughly in half
• Why VSimple keeps a human graphic designer even as AI-generated creative becomes common
• VSimple's new agentic AI offering and how Bronson is positioning it to buyers who have resisted change for years
• Why Bronson believes marketing must always put the person first, not the metric
• The growing problem of digital advertising fraud and AI-generated bot traffic

GTM & Marketing Lessons:

• Find your ICP where they actually are, not where you expect them to be: Bronson said Meta ads perform "way better than I would like to admit" for VSimple's audience. Traditional equipment dealers and distribution companies are not heavy LinkedIn users. They are on Facebook watching sports and looking at photos of their grandchildren. Channel selection has to follow actual buyer behavior, not category convention.

• Relational selling compresses the sales cycle for skeptical buyers: VSimple reduced its sales cycle roughly in half by combining in-person events, a new offer structure, and account executives with genuine industry expertise. For buyers who have operated on paper for decades, trust is not built through ads. It is built through direct, human contact.

• Trade show presence is about trust, not impressions: VSimple attends industry association events with a standard 10x10 booth. The goal is not brand impressions. It is handshakes and conversations. The in-person channel is harder to scale and more resource-intensive, but it creates the kind of trust that eventually makes a skeptical buyer willing to hear a pitch.

• Human judgment still matters in AI-generated creative: Bronson keeps a dedicated graphic designer on the team even though the team uses AI tools. The workflow is AI for the first draft, human for the final product. He described needing "taste" and "curation" - the kind of judgment that produces better output faster than prompting alone.

• Marketing has to ask "would I do this?": When a team member proposed a quiz-based MQL capture flow, Bronson pushed back by asking whether their ICP would actually complete it. His test: before any lead capture mechanism, ask whether the target buyer would genuinely engage. If the answer is no, the mechanism is optimized for the marketer, not the buyer.

• Digital ad fraud is a growing operational problem: Bronson called this the most frustrating issue in his current marketing stack. AI-powered browser emulation has made it harder to distinguish genuine leads from automated traffic. His response is to keep the focus on the human being behind every metric.

Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Flowdesk is a regulated digital asset trading and technology firm offering liquidity solutions and over-the-counter trading to institutional clients including asset managers, banks, and institutional asset issuers.

In a recent episode of The Marketers of Technology, we sat down with Tyler Fleischer, Vice President of Marketing at Flowdesk, to learn how he led a six-to-seven-month brand repositioning for a company that had built its business entirely through word of mouth, with no formal marketing function, before he arrived.

Topics Discussed:

• How Tyler moved from financial media to crypto marketing at The TIE and then to Flowdesk
• Why trust is the single most important marketing lever for an institutional finance business
• How Flowdesk grew through word of mouth and leadership networks before any formal brand existed
• Why the company's internal and external descriptions of itself were inconsistent before the rebrand
• The six-to-seven-month repositioning process: discovery sessions, new website, updated visual identity, and unified messaging
• Why Flowdesk wants to appear in AI and LLM search results for institutional crypto trading solutions
• How Tyler operates as the sole marketer inside a company of roughly two hundred people
• Why employee-led and founder-led content now outperforms branded channel content in B2B
• How Flowdesk uses AI for reporting and marketing intelligence, not content creation
• What a holistic PR and comms strategy looks like for a regulated financial institution trying to reach traditional finance

GTM & Marketing Lessons:

• Brand must match commercial reality: When Tyler joined Flowdesk, the company had strong commercial relationships but a brand and visual identity that did not reflect what the business had become. "We had really become a really trustworthy and the go-to partner for token issuers and asset issuers and institutional traders... mainly all through word of mouth," Tyler said. The mismatch between commercial credibility and brand presence was the trigger for the full repositioning.

• Internal alignment before external positioning: One of the most revealing problems Tyler identified was that employees described Flowdesk differently depending on who you asked. "There is a big problem, even people who weren't as close to the business internally are describing Flowdesk very differently than other people in the company." The website relaunch was as much an internal alignment tool as it was an external marketing play.

• Trust is not a campaign, it is a system: In institutional finance, clients evaluate counterparties based on proven track record, observed reputation, and whether other institutions they respect are already working with that firm. "You can mess up your reputation in the matter of five minutes while it takes five years to build a good reputation," Tyler said.

• Employee-led content over branded channels: Tyler sees a clear shift in B2B marketing where buyers prefer to hear directly from founders and employees rather than branded accounts. "Founder-led and employee-led content is crucial and really, really important for driving growth," he said.

• AI as an intelligence layer, not a content factory: Flowdesk uses AI primarily to build marketing dashboards, analyze what is working, and optimize spend. "The most powerful use case that we're leveraging is building that marketing intelligence layer... AI is really just making the data that we collect as marketers so much more useful and actionable," Tyler said.

• Earned media as trust infrastructure in finance: Tyler's primary goal heading into 2027 is building a full PR and comms strategy so that Flowdesk appears in the sources traditional finance institutions rely on.

// Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Strety builds EOS software for companies running on the Entrepreneurial Operating System, a business management framework that has been around for roughly 20 years. The software consolidates core EOS tools alongside performance, project, and engagement features, replacing the spreadsheets, Word documents, SharePoint folders, and project management apps that many EOS users piece together.

In a recent episode of The Marketers of Technology, host Andres Figueira sat down with Samantha Ngo, Head of Marketing at Strety, to learn how she markets a product that sits inside a well-established methodology to buyers who range from farm owners to tech startups to 40-year-old manufacturing businesses.

Topics Discussed:

• How Samantha pivoted from professional cooking to marketing, starting with e-commerce copywriting and freelance generalist work
• Why Strety's ICP is broad by industry but very specific in one dimension: all buyers are already running on EOS
• How customer stories became the foundation for ads, content, and community building
• The cheerleader meme campaign that generated strong LinkedIn engagement at low cost
• Why new trials, not MQLs or pipeline, is Samantha's North Star metric
• How Strety uses Claude connectors with HubSpot, Google Search Console, and Google Analytics for faster data analysis
• Why Samantha does not use AI for original content creation
• How Strety is building toward organic product video to serve the self-serve buyer
• The 100-person customer summit in Park City, up from two user groups of 25
• Conference presence in Sydney and Birmingham with a lockbox raffle lead gen activation

GTM and Marketing Lessons:

• Make the customer the hero, not the product: Samantha's first move at Strety was to write 10 case studies in her first two months. The goal was not just content creation. It was building a real perspective on how customers describe their problems and where the product fits into their story. Those conversations became the raw material for ads, content, and community building.

• Meme marketing works in dry software categories: Business operating system software reads as corporate and boring. Samantha ran a cheerleader meme on LinkedIn and Facebook that got strong engagement at lower cost than typical LinkedIn campaigns.

• North Star metrics should reflect where conversion actually happens: Samantha's North Star is new trials. Strety's conversion rates are strong once someone is inside the product, so all marketing energy points at getting people to try it, not just into the funnel.

• AI speeds up data work that used to take hours: Samantha runs Claude connectors with her major ad platforms, Google Search Console, Google Analytics, and HubSpot. She pulled a 90-day analysis of demo conversations in a single HubSpot chat session. Weekly Google Ads keyword optimization that was previously a manual process now returns as recommendations.

• Know where AI helps and where it does not: Samantha uses AI for data analysis, structured content like SEO and AEO, and case study drafts. She does not use it for original content.

• Self-serve buyers need to see the product before they reach the demo: Many buyers today will not book a call. Strety's product converts well on demo and in trial, but a significant share of buyers evaluates software without ever talking to a human.

• Events are lead gen infrastructure, not just brand: Strety runs booths at EOS conferences in Sydney and Birmingham. At both events, a lockbox raffle where attendees enter a code to try to unlock a box generates leads outside the standard badge-scan system and gives people a concrete reason to stop at the booth.

// Sponsors: Front Lines -- Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

EverestLabs is building physical AI for material processing and recycling facilities - AI vision systems, robotics, and agentic AI that automate sorting and recovery in some of the most operationally chaotic environments in industrial processing.

In a recent episode of Marketers of Technology, we sat down with Apurba Pradhan, Chief Product Officer and Head of Marketing at EverestLabs, to learn how the company markets AI and robotics to an industry where trust is the primary barrier to adoption, and where the real competition is not another vendor - it is inertia itself.

Topics Discussed:

• How Apurba transitioned from design engineering and photonics into product marketing and eventually CPO and Head of Marketing

• Why EverestLabs competes against inaction, not other AI and robotics vendors
• How the company builds trust with operators who are skeptical of automation and are not early adopters
• Why peer site visits and roadshows became the most effective sales tool, outperforming digital campaigns
• How EverestLabs sells performance as a service, not hardware or software
• How the company is scaling from 5-10% TAM penetration to broader market adoption
• Why EverestLabs entered Australia and is now expanding into the UK
• The agentic AI roadmap and how EverestLabs plans to build additional products on top of their physical AI data

GTM and Technology Adoption Lessons:

• When the market does not trust the technology, peer proof beats everything: Apurba said the most effective marketing tool the company has found is hosting site visits and roadshows where skeptical operators meet other operators who are already running Everest Labs systems. No digital campaign competed with what a peer saying "this is working" could do for the sales cycle.

• Sell the outcome, not the components: Everest Labs does not sell AI, cameras, robotics, and software separately. They sell performance. Apurba was explicit: "We sell an outcome. And you know, in order to deliver that outcome, what do you need? You need AI, you need hardware first capturing data..." The all-inclusive subscription strips away the technical complexity the operator cannot manage.

• The real competition is inertia: Apurba described competition not as other AI vendors but as the habit of running plants manually. The question is not whether operators prefer another product, it is whether they trust automation at all. Understanding that framing shapes how Everest Labs positions every conversation.

• Subscription pricing that beats the status quo closes faster: Everest Labs structured its subscription so that it costs less than what operators are currently spending. "The ROI or the payback is nearly immediate." At that price point, the conversation shifts from cost to trust.

// Sponsors: Front Lines -- Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

Parabilis provides revolving lines of credit to small and mid-sized businesses operating in the federal marketplace. The company was founded by former federal contracting executives in 2013, grew entirely through word of mouth for years, and brought on its first dedicated marketing leader in 2020.

In a recent episode of Marketers of Technology, we sat down with Teresa Moon, Vice President of Communications and Marketing at Parabilis, to learn how she built a content and category creation strategy for a highly regulated, niche financial services company serving government contractors.

Topics Discussed:

• How Teresa came to lead marketing at a finance company with no prior marketing background
• Why word of mouth alone could not sustain long-term growth for Parabilis
• How Teresa translated her teaching and sales experience into a content strategy for a regulated industry
• Why Parabilis created its own category ("federal market credit") instead of accepting the "alternative lender" label
• How Parabilis started appearing in ChatGPT and Claude before they were actively targeting those platforms
• Why GEO (Generative Engine Optimization) became a meaningful differentiator for a niche lender
• How their podcast "Spilling the Tea on GovCon" humanizes the brand and builds trust with both government agencies and small businesses
• How Teresa thinks about the intersection of marketing and sales for a boutique lender

Marketing Lessons:

• Category creation as a defensive move: Teresa said the finance and government contracting industries are both saturated. Rather than compete as an "alternative lender" — a label she said carries negative connotations — Parabilis created a new category called "federal market credit." That specificity allowed them to differentiate in both SEO and GEO contexts.

• Content built for education earns trust in regulated markets: Teresa came from a teaching background and approached marketing by asking how she could make complex financial topics digestible. She said her goal was to give potential clients enough information to "advocate for yourself." In financial services, where the conversation requires some vulnerability from the client, that approach reduced friction.

• Showing up in AI before you try: Parabilis started appearing in ChatGPT and Claude search results for terms like "federal contract financing" before they had any intentional GEO strategy. Teresa said that was because the content creation and thought leadership they had already done was being pooled by those platforms.

• Podcasting as business development: Parabilis runs a podcast called Spilling the Tea on GovCon that focuses on storytelling rather than finance or government topics directly. Teresa said the goal was to give government agencies and large businesses a forum to talk about their published objectives, which in turn softened those institutions toward Parabilis.

• Human interaction as a marketing asset: Teresa said that some of the best marketing executives understand the mechanics of KPIs and metrics but are not comfortable getting in front of a camera. She built her marketing approach around that willingness to show up personally, which she traced back to her time in multi-level marketing where she ran video series.

// Sponsors: Front Lines — Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service

HappySignals builds experience intelligence software for enterprise IT. Most IT tools measure technical performance: uptime, ticket volumes, resolution times. HappySignals measures what those tools miss: how employees actually experience the technology they use every day.

In a recent episode of Marketers of Technology, we sat down with Audrey Agahan-Nurmisto, Vice President of Marketing at HappySignals, to talk about marketing a category that most IT buyers don't know they need yet, why a Love Island campaign became the highest-engagement LinkedIn content the company has ever run, and why she disagrees with the trend of cutting marketing headcount for AI.

Topics Discussed:

• How Audrey built her B2B marketing career over 20-plus years, from marketing teams of one at startups to leading teams of twenty
• Why HappySignals has to educate buyers on why measuring the human experience of IT matters before it can generate demand
• How the team targets specific use cases tied to buyer goals as a more practical entry point than leading with the category story
• The Love Island campaign that caused internal debate but produced the highest LinkedIn engagement the company had seen
• How a six-person marketing team markets to enterprise IT leaders across Europe, North America, and Australia
• How HappySignals connected its messaging guide and brand guidelines to AI tools so sales can generate content without waiting on marketing
• The two-week sprint model the team uses to stay focused and run experiments faster
• How the team is running parallel experiments across three markets to find which has the fastest inbound path
• Why Audrey thinks companies cutting marketing headcount for AI will need to rebuild those teams later

Marketing Lessons:

• Market education comes before demand: Audrey said the existing tools IT companies use already give them their own way of measuring technology, so HappySignals has to help buyers understand why measuring the human experience matters. Rather than leading with the category story, the team targets specific use cases tied to buyer goals - like mean time to resolution for IT tickets - as a practical entry point.

• Creativity in B2B requires the willingness to be wrong: The Love Island campaign announcing a partnership generated internal pushback. Some colleagues felt CIOs would find it unprofessional. It became the highest-engagement LinkedIn content the company had run. Audrey said: "you can't make everybody happy and we took a risk and we wanted to be really creative."

• AI works best with guardrails built in: HappySignals put its messaging guide and brand guidelines inside its AI tools so sales teams can create emails and decks without relying on marketing. The system produces on-brand content without marketing as the bottleneck.

• The homogenization problem with AI content: Audrey's concern about companies cutting teams for AI is not just quality - it's differentiation. "If everybody's using AI, they're getting like a lot of the same ideas." The companies that will stand out are the ones with people who can bring creative direction AI cannot replicate.

• Sprints keep a small team from spreading thin: The HappySignals marketing team runs two-week sprints aligned with the product team. The structure forces everyone to focus on one initiative at a time, which helps a team of six move faster than if each person were running separate workstreams simultaneously.

// Sponsors: Front Lines - Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service