IPO success in B2B tech isn’t about luck or flashy features.

After 25 years across 3 continents, I’ve learned it comes down to core fundamentals most founders overlook.

Get those right, and you’re not guessing, you’re building.

Read more: https://lnkd.in/eM9c9dRr

2025 B2B Marketing ROI Rankings for Early-Stage Tech Startups

Each year around mid-year, we at The Artesian Network recheck the numbers from the latest B2B benchmark data and provide and outlook for ROI across the top 15 marketing tactics.

CMOs and CEOs in early-stage tech—where should you really put your limited marketing budget? When every dollar needs to work twice as hard, it’s essential to know which channels actually drive ROI. I’ve ranked the top 15 B2B marketing activities—from highest to lowest return—based on the latest 2025 benchmark data.

The Shortlist You Actually Need

  • Email Marketing – $36–42 per $1. Don’t overthink this. Own your audience.
  • Content Marketing – Your long-game lead machine. Fuels SEO, sales enablement, and trust.
  • Organic SEO + Website – Still the best compounding asset.
  • LinkedIn Marketing – Most efficient social spend for B2B. Both ads + thought leadership.
  • Facebook Paid + Organic – Counterintuitive, but ad ROI holds strong.
  • Paid Social (FB, TikTok, IG) – Effective when hyper-targeted.
  • Webinars & Digital Events – Excellent for deep-funnel conversion.
  • Video Marketing – Explainer videos > pitch decks.
  • ABM – High value if your ACVs justify the effort.
  • Google Search Ads – High-intent search = quick wins.
  • AI Optimization – 90% of marketers see ROI lift using AI for campaign tuning.
  • Email Automation – Lifecycle emails close deals.
  • CRO – Boost every other channel’s efficiency.
  • In-Person Events – Strategic, not scalable (yet).
  • Organic Social (X, Reddit, etc.) – Brand building, not pipeline drivers.

For Founders & CMOs: What to Prioritize

  • Nail email, SEO, and content early—they scale affordably and compound.
  • Use LinkedIn + paid social to get short-term momentum and test messaging.
  • Reserve ABM, AI, and CRO for when you’ve got traction and data to optimize.

If your CAC is creeping up or your pipeline isn’t moving, your channel mix may be the culprit.

👉 CMOs, what’s working for you right now?

👉 Founders, where are you planning to place your next bet?

Let’s compare notes 👇 in the comments section, and feel free to get in touch with us at www.artesiannetwork.com

More about me here: https://www.jonathanwbuckley.com

Should Early-Stage Tech Startups Hire a PR Firm? And What You Can Do In-House

✅ When PR Can Be Valuable (But Rarely Early On)

A PR firm can be useful if: – You’re announcing a major funding round (Series A or higher). – You’re entering a highly competitive or consumer-facing market where media buzz directly drives business outcomes. – You have a compelling narrative and a founder/executive team able to deliver it well in interviews. – You’re already experiencing traction and need to amplify a moment, not manufacture one. Even then, PR works best when paired with existing momentum—not as a substitute for product-market fit or customer validation. We, at The Artesian Network have worked with many highly valued great PR firms in the past. We have gotten our clients as featured stories on Bloomberg TV, CNBC Top Disruptive Company Lists, and at the top of headlines on all the tech and business blogs and publications.

But PR Firms are best used at a later stage in the company lifecycle. With resources tight in the early years, you will receive a much greater ROI in other marketing tactics.

🚫 Common Pitfalls of Hiring a PR Firm Early

High cost, low control: Most PR firms charge $8K–$20K/month retainers. That’s a huge chunk of budget for startups with unclear ROI. – No guarantees: Media hits are never guaranteed. You’re paying for effort, not results. – Low relevance: Unless your startup already has a unique, newsworthy hook, reporters often pass on the story. – Misaligned incentives: PR firms optimize for coverage, not customer acquisition.

💡 Smarter Use of Early-Stage Marketing Budget

At the seed or pre-seed stage, founders should prioritize direct, measurable growth activities: – Content marketing (especially founder-led thought leadership on LinkedIn) Paid acquisition tests (Google, LinkedIn, Meta) – SEO for long-tail keywords – Email nurturing and marketing automation – Community building (forums, Discord, Slack) – Webinars or strategic partnerships These channels yield clearer attribution and faster feedback loops.

Strategy for PR Outreach for Early-Stage Startups


📣 Define the Newsworthy Angle

Product launch? – Customer milestone? – Funding announcement? – Major hire or partnership? – Social impact?

📋 Build a Media List

Use tools like: – Muck Rack (https://muckrack.com) – Hunter.io (https://hunter.io) – Manual research via LinkedIn, Twitter, and article bylines Segment by: – Tech journalists – Industry-specific reporters – Local business press – Podcasts/newsletters relevant to your space

✉️ Craft the Press Email (Pitch)

Example Subject Line:

“New AI Tool Helps SMBs Save Hours on Client Research — Interview Ready”

Example Email Body:

  • 1 short sentence of relevance
  • 1–2 sentence summary of your news
  • Why it matters now
  • Link to press kit or landing page
  • Offer exclusive quotes, data, or interviews

🗂️ Prepare a Lightweight Press Kit

Include: – Founder bio and headshot – One-pager about the company – High-res logo and product images – Key metrics or validation (users, customers, revenue milestones) Contact information Host it on a Notion page or Dropbox link.

📤 Pitch Strategically

Personalize each pitch (reference an article or beat they cover) – Use a CRM or spreadsheet to track opens and responses – Follow up once after 3–5 business days

📢 Amplify Any Wins

Share published stories on LinkedIn and Twitter – Add logos of featured publications to your homepage – Mention press in investor or prospect meetings – Repurpose quotes/testimonials in sales and fundraising decks

✍️ Final Recommendation

Unless you’re making a high-stakes, public announcement with broad appeal (e.g., $10M+ Series A, celebrity investor, or product going viral), skip the PR firm and invest in growth tactics with short-term ROI. When the time comes, you can revisit PR—possibly with a part-time contractor or a specialist aligned with your GTM goals.


The World’s First Immersive 3D NFT: Where Pancakes, Pixels, and Vision Converged

www.jonathanwbuckley.com Founder, www.elevarpictures.com & www.artesiannetwork.com

The Idea That Started at Buck’s—and a Client Engagement That Sparked It

I’ve always been fascinated by technology’s ability to capture and preserve the intangible—history, energy, context. So when I found myself having breakfast meetings at Buck’s of Woodside in the early 2000s, I knew the place was special. What I didn’t know was that years later, I would help turn it into a work of digital art.

In 2018–2019, my firm The Artesian Network was engaged by Matterport, the pioneer of 3D spatial capture, to reposition the company and lead a full-scale, multi-channel launch into new verticals like insurance, construction, and cultural preservation. Our integrated campaign—from 3D restaurant mapping to immersive Times Square activations—helped position Matterport for explosive growth and ultimately its IPO.

That client engagement left a lasting impression. It inspired me to ask a bold question: Could we stretch the limits of 3D spatial modeling beyond commercial use—and turn it into art?

Capturing the Soul of Silicon Valley

There was no better subject for that artistic experiment than Buck’s of Woodside, the quirky, legendary, and history-soaked restaurant where the likes of Marc Andreessen, Elon Musk, and Sabeer Bhatia once plotted the future of the internet over waffles.

Together with Buck’s longtime owner, Jamis MacNiven—“The Prime Minister of Silicon Valley”—we set out to create an immersive, digital preservation of this iconic space. Not just a photo gallery or a video tour, but something experiential. Something eternal.

Converging Two Emerging Technologies

The result was a first-of-its-kind experiment that merged two powerful technologies: – Matterport’s 3D Spatial Capture: We scanned Buck’s in 4K HDR, creating a fully immersive digital twin. Users can “walk” through the diner, zoom in on over 100 embedded stories, and access historical artifacts—from a signed Apple I to Shaquille O’Neal’s size 23 shoe. – Blockchain-Powered NFTs: We then tokenized the experience as a unique, ownable piece of art on OpenSea, launching it as the world’s first immersive 3D NFT.

Watch the project video: https://vimeo.com/576128098

NFT Listing Image

A Digital Time Capsule—Minted and Sold

The NFT went live on July 19, 2021, with help from Alchemy. Opening bid: 103 ETH (~$238,000). Final sale: 105 ETH (~$340,000 at the time). More than a collectible, this NFT is a digital time capsule—a tribute to Silicon Valley’s past, encoded into its future. Walk through the virtual space: https://my.matterport.com/show/?m=k6RtWhrenma

Why It Matters

This project was more than a novelty. It was a proof-of-concept for what happens when creativity meets cutting-edge tech: – Historical Preservation gets a new medium. – 3D Spatial Modeling transcends enterprise use cases. – NFTs become more than hype—they become experiences.

It also marked the evolution of my own creative path—from venture marketer to digital producer. Through Elevar Pictures, I continue exploring the intersection of storytelling, tech, and media—whether in 3D space, virtual worlds, or traditional formats.

Inspired? You Can Explore or Own a Piece of It

Walk through Buck’s in full 3D: https://my.matterport.com/show/?m=k6RtWhrenma

View the NFT: https://opensea.io/collection/bucks-of-woodside?status=listed

Download the Brochure: BUCKS_BROCHURE_FINAL4.pdf

If this project sparks ideas or memories—especially if you ever pitched a startup over pancakes at Buck’s—drop a comment or share your story.


🚩 Ten Red Flags to Look for Before You Join, Invest In, or Represent a Startup

As someone who has been deep in the trenches of startup life—leading marketing transformations, advising founders, and recovering from a few spectacular crashes—I’ve learned the hard way that due diligence is not just for lawyers and VCs. Whether you’re considering joining a startup, investing in one, or taking it on as a client, these are the top ten red flags I’ve come to recognize. Ignore them at your peril. This isn’t theory. These are patterns I’ve seen play out in real time. Some I caught just in time. Others—like the stories I share in this article on two epic marketing failures—were disasters that could’ve been avoided if someone had asked the right questions sooner.

1. They Say They Have Product-Market Fit, but Can’t Prove It

If they’re claiming rapid growth or “pull from the market,” ask to see renewal rates, customer retention, or even direct references. Often, the early customer base is made up of friends and favors—not actual fit.

2. The Tech Doesn’t Work (Yet They’re Marketing It Anyway)

This one is more common than you’d like to believe. A sexy demo, a polished pitch deck, but no working product. If the “AI” is just a spreadsheet with smoke and mirrors behind it, run.

3. Funding Outpaces Traction

When the raise looks like a Series B but the customer traction looks like pre-seed, you have to wonder: is the company optimizing for PR or solving a real problem?

4. Customer Logos Without Customer Love

Beware the pitch deck adorned with Fortune 500 logos but no case
studies, no quotes, and no repeat revenue. This often signals
non-repeatable, one-off deals used to signal legitimacy.

5. Over-Polished Branding That Obscures the Truth

A beautiful website and killer pitch videos don’t mean the company is real. One of the worst frauds I saw had the best marketing materials. We found out the customer testimonials were fake.

6. Founders Who Won’t Let Go of the Narrative

If the story never changes—no matter what the data says—they’re more interested in preserving the myth than facing the reality. Dogmatic founders can burn millions chasing the wrong market.

7. No External Validation (or Fear of It)

Healthy startups encourage validation: analyst coverage, independent audits, customer interviews. If they resist external scrutiny, they may be hiding something.

8. The Culture Smells Like Chaos

Ask about turnover, especially in marketing, product, and engineering. A revolving door is often a sign of deeper dysfunction—and a management team in denial. Also, and this has affected me several times in my career, make sure there is diversity of relationships on the board and management team. Too often, I find management teams and the founder’s board made up of people with personally close relationships making it nearly impossible for “outsiders” to affect the trajectory of the company. It’s natural to have some previous relationships existing in the company, but be wary of a closed system or “cabals”.

9. Ethical Flexibility Framed as “Founder Hustle”

Be wary when bending the rules is considered a virtue. I’ve seen founders lie to investors, puff their numbers, or fake compliance “just until we close the round.” Don’t hitch your wagon to that.

10. They Want Advisors but Ignore Advice

If you’re being asked to join as an advisor, investor, or board member, but your counsel is routinely ignored, you’re a prop, not a partner. Get out before you’re blamed for the crash.

Final Thoughts

Startups are risky by design—but not all risks are worth taking. If even two or three of these red flags show up, it’s time to ask harder questions or walk away. Trust your instincts, do the work, and never confuse great storytelling for great execution. I’ve done both. One builds real companies. The other builds illusions.

🔍 Bonus: Due Diligence Checklist

Want a 1-page checklist version of this article to use in your next deal or job interview? DM me or leave a comment below, and I’ll send it to you.


Jonathan W. Buckley on How to prepare your B2B technology company for market

Principal consultant Jonathan Buckley just had a piece published in the CXO Dispatch about getting early-stage technology companies to market with reduced risk. It includes a video interview.

10 Ways B2B Tech Marketers Can Leverage AI to Sharpen Messaging and Positioning

AI is no longer a novelty in B2B tech marketing—it’s a competitive necessity. But while many marketers are exploring how generative AI can save time, fewer are using it to actually improve the quality of their positioning and messaging. At The Artesian Network, we’ve been launching and scaling AI-driven companies since 2017, well before ChatGPT introduced the broader market to what was possible. What we’ve found is that the power of AI in marketing isn’t about replacing expertise—it’s about multiplying it. When used well, AI helps experienced marketers move faster, test more ideas, and spot value gaps that human teams often miss. Here are ten best practices we use to get the most out of AI for B2B messaging and positioning:

1. Start with a Value-Claims Analysis Table

Before you write a single line of copy, use AI to map your product’s value claims against those of key competitors or substitutes. At The Artesian Network, we start this process by instructing the AI to summarize the marketing claims from competing product pages into a condensed list of recurring value statements—phrases like “faster onboarding,” “low-code customization,” or “seamless integrations.” To do this effectively, we: – Feed the AI the exact URLs of competitor websites—especially their product, solutions, and use case pages. – Instruct it to extract and normalize claims into consistent language. – Ask it to count how many times each claim appears on each competitor’s site to gauge emphasis and repetition. This process produces a value-claims matrix showing which claims are ubiquitous (table stakes), overused (hard to differentiate), and which are clear gaps your product can credibly own. But here’s the key: We always consolidate down to just 4–5 focused value claims for your product. These should be the claims your messaging consistently reinforces—across site copy, decks, demos, and outbound. Why? Because spread too thin, your positioning becomes noise. Concentrated, it becomes power. And it goes without saying: you must actually deliver on the claims you make. The most dangerous positioning mistake is to promise what the product doesn’t support—because that’s not positioning, that’s just brand erosion in disguise.

Value-Claims Analysis Output

2. Prime AI with a Fully-Formed Contextual Folder

Think of your AI as a junior strategist—it only performs well when it’s given a complete context pack: – ICP and buyer persona breakdowns – Buyer committee roles (typically 6–7 stakeholders in enterprise sales) – Competitive collateral and positioning – Industry-specific language and macro/microeconomic conditions – Pricing dynamics (commodity, premium, or disruptive) – Funding paths (which budget line the purchase comes from) Without this structure, outputs will always lack depth.

3. Clarify the Type of Sale

AI needs to know if you’re competing on price, features, ecosystem, or disruption. For instance: – A commodity sale competes on cost and utility. – A disruptive sale might draw funds from innovation or transformation budgets. That distinction radically changes how you frame benefits, urgency, and objections.

4. Define the Desired Messaging Tone and Voice Upfront

The best results come when you establish whether the voice should be authoritative, optimistic, provocative, or humble. AI excels at adaptation—but only when you’ve specified your brand’s persona clearly.

5. Use AI to Generate Hypotheses—Then Pressure-Test Them with Sales

Let AI rapidly propose alternative ways of expressing your value prop. Then run those through your sales team or revenue leaders. Often, the best ideas don’t come from a boardroom—they come from a rep’s inbox.

6. Train AI to Recognize Vertical-Specific Language and Pain Points

Generic messaging kills enterprise momentum. Load the AI with case studies, call transcripts, and customer quotes specific to your vertical. This primes it to speak the buyer’s language—without sounding robotic or detached.

7. Generate Variant Messaging for Each Buyer Committee Role

Your economic buyer, technical evaluator, and frontline user all care about different things. Use AI to tailor benefits for each: – CTOs care about scalability and integrations. – Operations leaders want faster workflows. – CFOs focus on ROI, not features. AI can handle that personalization at scale—if you feed it role-specific prompts.

8. Map Messaging to the Buying Journey

AI can accelerate the creation of nurture sequences, but only if you map messaging to awareness, consideration, and decision stages. Use AI to test which content themes move leads downstream fastest.

A Typical Enterprise Customer Journey Map

9. Avoid Over-Reliance on Prompt Templates—Invest in Prompt Craft

The best outcomes don’t come from prompt libraries—they come from experienced prompt engineers who understand marketing strategy. AI is only as strong as the marketer guiding it. You wouldn’t give a Ferrari to a student driver. Same rules apply here.

10. Continuously Refresh Competitive Inputs and Market Signals

Your AI models and prompt structures should evolve with your market. Refresh inputs monthly or quarterly: – New product launches – Pricing shifts – Analyst reports – Buyer objections from sales calls This ensures your messaging doesn’t go stale—and your positioning stays ahead.

Final Thought

AI doesn’t replace your positioning strategy. It reveals the gaps, accelerates the iterations, and makes it easier to go to market with confidence. But only if it’s used by people who know what they’re doing. At The Artesian Network, we build that process into every GTM engagement. Because the future of B2B marketing belongs to those who can see the signal in the noise—and move fast on it.

B2BMarketing #GoToMarket #AIForMarketers #PositioningStrategy #MessagingMatters #MarketingStrategy #ValueProposition #TechMarketing #ArtificialIntelligence #CompetitivePositioning

Why AI Alone Won’t Save Your Marketing

How We’re Seeing 5x Productivity Gains—But Only When Senior Minds Steer the Machines

The AI hype is deafening. It seems like every week a new tool promises to eliminate your marketing team, write your next viral campaign, or unlock secrets from your data. But here’s the hard truth we’ve discovered at The Artesian Network: AI only works when the person behind the keyboard knows exactly what they’re doing. Only 6% of Gen X professionals are even moderately well-versed in AI, and most of that expertise is limited to basic content generation. For all the power AI tools now hold, they are still just that—tools. Without a skilled strategist guiding the work, they generate output, not outcomes.

The AI Myth: Faster ≠ Smarter

Yes, AI allows junior marketers to “do the things of marketing” faster—generate emails, draft blogs, spin up taglines. But speed alone is meaningless if you’re doing the wrong things, or doing the right things in the wrong way. At The Artesian Network, our process starts long before we prompt an AI engine. We first prime the machine with: – A precisely defined ICP (Ideal Customer Profile) – Market tone and audience nuances – SEO context and competitive language – Technology features mapped to differentiated benefits – A phased, long-term content strategy This is not a junior task. It’s the domain of senior professionals with experience across industries and GTM functions. The art of good prompting is built on the foundation of good marketing. And that can’t be rushed.

Real Numbers: 5x Leverage in Strategic Execution

We’re now seeing a 5 to 1 productivity gain in our engagements thanks to AI. But it’s not just about speed—it’s about scope and precision. We currently use 14 different AI platforms for tasks like: – Value-claims analysis against market competitors and substitutes – Pricing optimization and elasticity modeling – Branding concept development – Website wireframing and layout – Image creation and visual storytelling – SEO analysis and performance optimization – Content generation across formats – Print and collateral layout automation And we don’t just use these tools ourselves—we audit our clients’ AI-readiness, recommend tools tailored to their workflows, and implement AI systems that allow them to scale intelligently after we’re gone.

What’s Next: Personalized Messaging Without the SDR Bottleneck

One of the most exciting AI advances we’re testing this quarter is automated personalization at scale. Imagine: – Dynamic message generation based on prospect-specific firmographics – Consistent brand tone and adherence without manual review – No more dependency on junior SDRs to execute personalization at volume This is the holy grail of outbound marketing—automated precision without losing nuance. And the tech is finally catching up to the dream.

AI Is Ready. Are You?

The promise of AI isn’t theoretical anymore. But the real leverage comes from pairing it with experience. You can’t hand a scalpel to an intern and expect surgery. You can’t hand GPT-4 to a junior marketer and expect a breakthrough campaign. At The Artesian Network, we believe in human-led, AI-powered marketing—where the operator knows what to build, what to ask, and what to ignore. Because in the end, it’s not the tool that wins the race. It’s the one who knows how to wield it.

Want to Learn More? Start with These Guides

For those looking to deepen their understanding of how to integrate AI into effective marketing, we highly recommend the practical resources available at www.mindstream.news. One image was created and shared by Will McTighe.

These are quick, practical reads that reflect the philosophy we follow at The Artesian Network: AI is a force multiplier—but only when paired with human judgment and domain expertise.





Fractional Marketing, Full-Stack Results: A Founder’s Guide to Getting It Right the First Time

Why early-stage B2B tech startups need experienced, technical, senior marketing teams—and how to find the right one

Let’s be honest: most startup founders don’t trust marketers. And with good reason.

In the B2B tech world, we’ve seen a familiar pattern repeat itself—over and over. It usually starts with an incredible technical insight: a founder (or founding team) builds something genuinely novel. There’s a real gap in the market, and the early product makes a few smart people sit up and take notice.

But then comes the realization: you need to tell the story, not just build the system.

Why Founders Get Burned by Marketing

Many technical founders view marketing with a mix of suspicion and disappointment. They’ve either hired marketers who couldn’t grasp the product—or they’ve heard horror stories from friends who did.

This disconnect is almost inevitable. Too few marketers can “speak tech.” They mistake features for benefits, miss the architectural brilliance under the hood, or fail to translate a powerful capability into a message the market can actually understand.

It’s no surprise that many founders keep marketing at arm’s length. In fact, some are outright hostile to it.Let’s be honest: most startup founders don’t trust marketers. And with good reason.

In the B2B tech world, we’ve seen a familiar pattern repeat itself—over and over. It usually starts with an incredible technical insight: a founder (or founding team) builds something genuinely novel. There’s a real gap in the market, and the early product makes a few smart people sit up and take notice.

But then comes the realization: you need to tell the story, not just build the system.

That’s when the friction starts.

The burn cycle

They’ve seen the polished decks, the vague slogans, the cookie-cutter playbooks that ignore product nuance. They’ve seen form without function.

The Marketplace of Marketing Help is Siloed—and That’s a Trap Most of the marketing help available to startups is fragmented. You get:

Each offers a slice of the puzzle, but few are able to pull the full picture together. More often than not, they aren’t aligned with outcomes—they’re aligned with outputs. Blog posts. Pitch decks. Ad campaigns. Funnels. Metrics.

But early-stage startups need something much more foundational: go-to-market strategy rooted in reality, driven by insight, and delivered with speed.

The “Pyramid Problem” in Marketing Consulting Even when founders do engage outside help, there’s another common pitfall: the pyramid model.

You meet with a senior partner who seems credible—maybe even great. But once the deal is done, the work gets handed down to junior staffers. People who’ve never launched a company, never sat in a board meeting, never felt the existential pressure of a cash runway and a market that’s not quite biting.

These junior consultants often lack the pattern recognition that only comes from cycles of failure and success across dozens of startups. They may be smart. They may be eager. But they’re not ready to call the shots.

Startups don’t have the luxury to wait for someone to learn the ropes on the job.

When Founders Try to Hire In-House…

It Gets Risky Fast. So maybe you decide to build your own marketing team.

It sounds good on paper: hire a full-time VP of Marketing and let them build from there. But here’s what happens far too often:

You hire someone from a large company—a mid-level manager, maybe a director—and up-title them to VP or CMO. But their experience is shaped by a world that’s very different from yours.

In big companies, marketers are highly specialized—not generalists.

They’re focused on efficiency, not efficacy.

They’re trained to optimize existing systems, not create new ones from scratch.

Big Company Marketers Versus Those Optimized for Startups

Early-stage companies need the opposite. They need people who can navigate ambiguity, test hypotheses, iterate fast, and work across functions—not within a silo.

No wonder the average tenure of a startup CMO is under 18 months. The mismatch isn’t about intelligence—it’s about context.

The Time Trap: Why Startups Can’t Afford to Assemble a Team Slowly

Even if you’re determined to build the “perfect” team, you’ll face another brutal constraint: time.

Let’s break it down:

  • 2–3 months to hire a VP
  • Another 1–2 months per discipline (content, demand gen, ops, design)
  • Weeks or months for onboarding and team chemistry

And that’s before you’ve produced anything of value.

The Timeline For A Full-time Marketing Team is Too Long

Speed is the only real advantage most startups have in the early years. You cannot squander it building infrastructure. You need traction. Fast.

Why Full-Time May Not Even Be Necessary

Here’s the kicker: most early-stage companies don’t need a full-time marketing team.

What they do need is a cross-functional senior team who can jump in immediately, drive strategy, deliver execution, and stay aligned to business outcomes—not just marketing metrics.

You need one part business consultant, one part execution partner. Not a loose federation of vendors. Not a junior team that needs mentoring.

You need a co-pilot.

What to Look for in a Fractional Marketing Partner If you’re ready to go the fractional route, don’t just look for an agency or an outsourced “stack.” Look for a team that:

  • Has deep operator experience—they’ve sat in your chair
  • Can “speak tech” and act as a translation layer between engineering and market
  • Brings product management insight, not just product marketing polish
  • Offers true cross-functional capability, from strategy to execution
  • Delivers one senior point of accountability—not a rotating cast
  • Follows a proven framework like Build It. Test It. Prove It.

And above all, make sure they know how to identify—and call out—a lack of product-market fit. It’s better to hear it early than fund a flawed GTM strategy.

The Artesian Network: Built for This Moment

At The Artesian Network, we’ve been that partner—for over 15 years.

We’ve supported dozens and dozens of early-stage tech companies across Silicon Valley, the broader U.S., Europe, and the Middle East. And the results speak for themselves:

The Artesian Network Has Serviced Clients Across The Globe

Over 50% have gone on to a successful IPO or acquisition

The others? Nearly all have raised successive rounds and achieved real traction.

In the rare cases where failure occurred, it was not without our early signal that product-market fit had not been achieved as outlined in two case studies we have outlined in previous LinkedIn Articles.

We don’t just “do marketing. “We help startups move faster, execute smarter, and build companies that scale.

Final Thought: This Isn’t Just Marketing. This Is Survival.

Marketing isn’t a department. It’s how the market comes to understand your value.

You can’t afford to get it wrong. You can’t afford to go slow. And you certainly can’t afford to bet your trajectory on junior talent and fragmented tactics.

If you’re ready to move faster—and smarter—bring in a team that understands the whole game. Marketing, product, growth, strategy—all in one.

Because the right fractional team isn’t a cost. It’s a multiplier.


And Then We Will Just Rock A Startup’s Rise, Fall, and Echo Through Time

Prologue: Silicon Dreams

In the mid-1990s, the internet was a spark lighting up the world, and I stood at the center of its ignition.

At Pacific Telesis—the venerable West Coast telecom holding company for Pacific Bell—I was charged with managing the physical infrastructure for its emerging high-tech ventures: mobile phones, wireless cable, a state-wide fiber backbone, and finally a network-based voicemail system. As Director of Real Estate and Facilities, I was building data centers, Points of Presence (PoPs), call centers, and storefronts as fast as our engineers could design them. What began with two facilities ballooned into hundreds.

Environmental stability was paramount. Network uptime had to be near perfect. Our engineers had monitoring tools—SNMP traps and remote network management platforms—but alerts often came too late. Over 70% of system outages began in my domain: power, cooling, fire suppression, humidity. I remember roaming equipment rooms late at night, listening for alarms and scanning for blinking red lights. For a while, before I was allowed to hire staff, I was the facility manager myself.

It was during this time that a contractor I worked with, Steve Hunter, and I imagined something audacious over lunch: what if we could connect every piece of environmental equipment to the internet and monitor it all with a simple web browser?

At the time, most of this equipment came with intelligent serial ports—used by technicians on service calls. If we could decode the proprietary protocols and convert serial data into IP traffic, we could build something groundbreaking.

Steve began developing a crude prototype. I bought two units. They worked well enough to start scaling back my 24/7 roaming staff. The idea had legs.

Chapter 1: The Spark

Two years later, I was working in business strategy for a Big Four firm, designing global expansion strategies for tech companies in Silicon Valley. One day, Steve visited me in San Francisco. He had refined the prototype—now ready for broader deployment. He floated the idea: leave the firm, join him, and turn this into a real company.

The internet boom was pumping. San Francisco pulsed with energy—launch parties, new logos on SoMa warehouses, VC-funded dreams flying fast and loose. I was comfortable, but not immune to the fever.

I jumped. We formed NetBrowser Communications with a bank account containing $18,000, a demo unit, and a dream. I became the COO, head of sales, and corporate secretary. We hired Marc Davilla, a super capable sales engineer, and went to work. We built a crude website, crafted data sheets, refined our live demo, and hit the phones. Sales came quickly.

NetBrowser’s website circa 2000

We signed on Pacific Bell, Delta Dental, and a wave of CLECs (Competitive Local Exchange Carriers). We joined Salesforce in their first 1,000 customers to manage our growing pipeline. As the orders grew, we brought in our first head of engineering—Dr. Ujwal Setlur, a brilliant coder.

Money, inevitably, became the constraint. We needed capital to grow.

Chapter 2: The First Fall

Our first major outside investment came from an early Apple product manager, backed by French capital. The deal—literally signed on a napkin in NetBrowser’s conference room —brought in $2 million. I was to hire a full-time head of sales and jump-start  marketing and business development.

We moved into a real office.

Like so many Valley startups, the space reflected the times: open floor plans, bean bag chairs, a pool table, ping-pong table, stocked fridge with unlimited snacks and drinks. The energy was electric. We worked late. We laughed. We built.

Then it all cracked.

One morning around 11 a.m., Steve walked into the office and dropped a bombshell.

He told us he had a “talk with God in the shower,” and that God had told him four things:

“His life moving forward as CEO would be prioritized as God, family, and then business—and that business could only take up 20 hours per week max.”

“NetBrowser was to adopt a Christian mission and vision statement, and I, as the COO, would need to distribute the new materials to our team—Muslim, Hindu, Atheist, and Catholic alike.”

“We would begin daily noontime Bible study as a company.”

Also, I was told he had received a vision that our newest and top-performing sales hire was actually the Devil, sent to sabotage the company—and that it was my job to fire him.

I was relatively early in my executive career, but no business school, leadership book, or mentorship experience had prepared me for this. And it didn’t stop there. The workplace began to take on an almost surreal tone. I started recording conversations just to play them back for an outside business coach—to confirm that I wasn’t losing my mind.

We were entering serious legal territory. You can’t fire someone based on religious visions. You can’t mandate religious practices at work. On top of that, business was thriving and every one of us was already stretched thin. We simply didn’t have time for this.

Unless Steve could silence his faith in the workplace and find a way to quadruple his hours, we were going to lose everything.

I called our new chairman and lead investor. He was boarding a plane to Paris when I reached him. I kept my voice calm and steady as I described what had transpired. At the end of the call, I simply said: “We need help. Fast.”

Within two weeks, Steve agreed to sell a sizable portion of his shares to the VC and step away from the business. A new CEO would be brought in immediately.

Chapter 3: The Ascent

Mike, a former lineman for the phone company who had risen through the ranks to lead major teams, was someone I knew from my Pacific Bell days. He wasn’t formally schooled in business—he didn’t even have a college degree—but he was grounded, technically competent, and he knew how to manage. More importantly, he wasn’t divisive. The Chairman believed he was exactly what we needed to reset the culture and stabilize the operation.

Under Mike’s leadership, NetBrowser matured rapidly. We hired up and scaled quickly growing to over 40 people. The team included engineers, client services staff, support reps, marketing help, and a growing install team. Our customer list kept expanding: EMC, WorldCom, SBC, Exodus Communications, Gillette, and a host of data center operators and CLECs. The technology was evolving in real time, and the deals were getting bigger. It felt like the company was finally becoming what we had imagined.

And we were. Ujwal and his engineering team were producing magic. The technology stack was robust and flexible, and we had begun prototyping what would later be understood as embedded agents—software that could reside directly on environmental infrastructure and report back in real time.

But scaling meant burn. And one day, Mike pulled me into a side room and delivered the news:

“We’ve got about a month of cash left. After that, we miss payroll.”

It was an existential moment. We had finally built a real company—and now we were about to run out of money.

We had been on the fundraising trail for months—reaching out to what felt like a hundred venture firms. About twenty had taken meetings. We pitched relentlessly, refining the message each time, adjusting for feedback, chasing leads that led nowhere. The effort was grueling. Eventually, Mike burned out. He had emotionally checked out of the roadshow process altogether.

But Ujwal and I couldn’t quit. We rewrote the pitch in our own voice—grounded in data and facts, told with passion. We emphasized the strength of the product, the real traction we had with enterprise customers, and the vision that drove us to build it all in the first place.

Then came our shot.

Chapter 4: The Pitch of a Lifetime

Then, a miracle: the venerable Sequoia Capital said yes to a meeting.

Sequoia Capital offices on Sandhill Road

And not just anyone a Sequoia said yes—Mike Moritz himself said yes. By then, Moritz was already legendary. His internet company investments included Google, Yahoo!, PayPal, Webvan, YouTube, eToys, and Zappos. Alongside him sat Pierre Lamond, another titan of Silicon Valley. Lamond had been behind investments in Vitesse Semiconductor, Redback Networks, and Plumtree, and had helped shape National Semiconductor into an industry force. The two partners were accompanied by a couple of sharp analysts, note pads ready.

Mike Moritz, Sequoia Capital Partner

We gave it everything in the first pitch. Moritz was engaged, leaning in, asking questions. Lamond was more measured but clearly intrigued. The technology landed. The customer traction landed. They saw potential. We walked out of that first meeting buzzing.

A second meeting was scheduled for the following Monday— “deal day,” as we called it. Back at HQ, though, things were dire. Accounts receivables were stalling. Cash was dangerously low. We had already laid off staff. If Sequoia passed, we might not survive.

The second meeting went deep: product architecture, customer use cases, sales funnel strategy. Moritz was probing but encouraging. But at the end, he noted: “It would help to have the CEO present.”

We scheduled the third and final meeting. This one was it. We knew the full partnership would be there. Mike, our CEO, was required.

Ujwal and I rehearsed obsessively. We had the flow down cold. The product narrative. The origin story. The tech architecture. Customer logos and proof points. We were ready.

Mike declined rehearsals. “I know the business,” he said. “I’ll be ready.”

We arrived early at Sequoia’s Sand Hill Road offices. The conference room was classic Sequoia—minimal but elegant, precise, focused. Every partner in the firm sat at the long table.

Mike was nowhere.

Ujwal and I exchanged glances. We were horrified, but the show had to go on. After five tense minutes, Moritz signaled us to begin.

We launched in—just like we practiced. It flowed. The story was tight. The technology was visionary. We wove in endorsements from big-name clients. Momentum was building.

Then the doors opened.

Mike entered, sweaty and breathless. “Traffic,” he mumbled. He took the floor. His commentary was… fine. Off-script, but solid. It was survivable.

Then came the final question from Moritz.

“We always close with one question,” he said. “When you get the money, what are you going to do next?”

Mike paused. One beat. Two.

Then: “We are gonna just ROCK!”

The energy in the room evaporated. Polite smiles. Quiet nods. We were dismissed.

The next morning, the dreaded call came. Mike, barely holding it together, delivered the news:

Sequoia passed.

Chapter 5: Burning Down the Clock

After the Sequoia rejection, silence fell across the office. I remember sitting in the corner office with Mike, the blinds half drawn to block out the unforgiving Bay Area sun. Neither of us said much. The weight of it hung in the air.

Then Mike leaned back in his chair, closed his eyes, and said quietly, “We’re going to miss payroll.”

It was happening. We still had customers. We still had a revolutionary product. But we were out of time. Accounts receivables were locked up in a cascading financial panic as the dot-com world started wobbling. We couldn’t wait for payments. We couldn’t count on miracles.

Enter Ed—our primary investor. Ed was a grizzled veteran of financial street fights. He wasn’t betting on us out of sentiment. He saw a valuable piece of IP that didn’t deserve to be buried in the wreckage of a failed startup. He wired in a $2 million bridge loan—just enough for maybe eight more weeks of life.

With that slim window, Ujwal and I went back into the trenches.

That’s when we were introduced to a small company based in the Midwest. They had been building a complementary analytics layer and claimed to have caught the attention of Venrock—the venture arm of the Rockefeller family and behind such technology greats as Intel and Apple and so many more brand names. The pitch was simple: combine their analytics with our infrastructure platform and we’d have a more compelling, end-to-end story.

We were skeptical, but desperate. We worked closely with them to craft a merged vision. The pitch we produced was clean, honest, urgent. We hit send.

And then the improbable happened.

Venrock responded.

The partner assigned to the deal had once worked as a senior consultant at Arthur Andersen—the very same firm where I had cut my teeth years earlier. We shared war stories. The analyst on the deal knew one of my close friends. The human connections clicked.

Pitch one: green light.

Pitch two: nailed.

Pitch three: scheduled.

But then came the condition.

Venrock wanted a new CEO. Not just any CEO—but someone from IBM. A proven executive. A seasoned operator. Someone they trusted.

We swallowed hard. Mike saw the writing on the wall and stepped aside—reluctantly, but with grace. Ujwal and I knew this was our only path forward. We had to play along.

The third pitch was presented with the new IBM executive front and center. He had the look, the pedigree, the polish.

And just days later, we got the call: Venrock was in. They would lead the round. iMinds Ventures in San Francisco would co-invest. We had a real board now, with a serious independent director—Mike McCloskey, former CEO of Genesys and Kana Software.

The due diligence was deep and exhausting, but we passed. The green light was given.

The company was saved.

Chapter 6: The Deal

Everything was moving. The due diligence process was deep, detailed, and relentless—but we passed. The term sheet from Venrock was in hand. It was real. It was happening.

And then, on the morning of September 11, 2001, the world stopped.

I had flown into Raleigh-Durham, arriving at 1:00 a.m. to present NetBrowser at the Uptime Institute’s Disaster Recovery Conference. It was surreal timing. By breakfast, I was mid-speech when the first pager buzzed. Then another. Then another. A gasp echoed through the room— “Oh my God!”

Someone made the announcement: a plane had hit the World Trade Center. The conference ended instantly. I was stranded with other attendees, most from major banks and financial institutions tied to New York. I watched, live, as the second plane struck.

Calls started coming in.

After some hours, I knew friends were missing. My wife and I had built a network of friends in finance over the years—many from her time in investment banking. We had attended countless industry weekends in places like Pebble Beach with the Securities Industry Association. It felt impossible that any of them could be gone.

Just three weeks earlier, we had dinner with Paul Sloan, my wife’s young trading desk assistant from San Francisco. He was off to live his dream on a New York trading desk. He’d taken a job on the 82nd floor of the South Tower at the World Trade Buildings.

Paul was on the phone with his father in Marin County, deciding whether he should leave after the first plane hit. He chose to stay. Eventually the call went dead as the fire rages below. The South Tower was the first hit and the first to collapse. To this day, that was the only funeral I’ve ever attended without a body.

In total, six people in our immediate network were killed—some in the towers, one on the plane that hit the Pentagon, and another in the field in Pennsylvania. I would later learn that the husband of one of our business contacts from APC, a company we worked closely with, was among the dead.

I was stranded for a week on the East Coast before returning home to my wife and our newborn child. But NetBrowser still had to go on.

Thankfully, none of our team in New York was lost. Everyone had been accounted for.

The fate of the Venrock deal hung in suspension. The financial world was reeling. Planes were grounded. Markets were closed. It seemed like everything might collapse.

And yet, two weeks after the attacks, the deal closed.

We raised $12 million.

At a time when no one was funding anything, we were the only startup in Silicon Valley to close a round in Q4 of 2001.

It was unprecedented. It was unbelievable.

It was our last-second escape.

Chapter 7: The Infiltration

But what arrived after the wire transfer wasn’t celebration. It was infiltration.

Some very strange characters started showing up—people we hadn’t hired, hadn’t vetted, and couldn’t control. First came Peter—a man who, to this day, calls himself a co-founder of NetBrowser, though he was not. He took the title of CTO and quickly assembled his own clique. Then came Chad—a charming but erratic salesman with a sociopathic edge. They moved in like a pack.

It didn’t take long to realize they didn’t want us there. Not me. Not Ujwal. Not anyone from the original NetBrowser team.

The camaraderie we’d built over years of shared struggle vanished overnight. In its place: turf wars, gossip, and intimidation. What was once a tense, but bonded startup had become something else entirely—a company of gangs.

One afternoon, I was in my office working on slides for a board meeting when Chad and Peter walked in, uninvited. Chad leaned in, grinning, and said:

“I practiced with my Desert Eagle (a .50-caliber handgun) this weekend. I used a picture of your face for the target. I’m accurate.”

I didn’t respond. I couldn’t. The air in the room had turned leaden.

Another time, outside the office where Peter and his gang took their ritual smoke breaks, he turned to me and said, loud enough for everyone to hear:

“If you don’t fall in line, I’m going to put your mouth on the curb and kick the back of your head.”

They all laughed. I didn’t.

I didn’t know how to operate in this environment.

And yet—I stayed. Too long. I still believed in the product. I had invested years of my life. And we had just survived the crucible of financing. I didn’t want to walk away.

Then came the setups.

Someone told the CFO I kept a bottle of bourbon in my desk. I didn’t.

The new VP of Business Development told the CEO—someone I considered trusted—that I had lit a bag of dog poop on fire on his front porch. He said he saw me do it. I hadn’t. I never would.

But the lies spread like smoke. And the smoke choked the company.

Meanwhile, all the deals Chad supposedly had in the pipeline—military contracts, partnerships that required lavish “entertainment” trips to Tijuana—failed to materialize. While they chased illusions, the real NetBrowser sales pipeline began to wither. The product was no longer the focus. Image had replaced integrity.

I stopped sleeping. My health declined. At home, I had a newborn. At work, I had a war zone.

And then one day, the CEO asked for a meeting. I walked in, knowing it was over.

I was pushed out painfully. Ujwal held on a little longer. It felt personal with all the drama that had preceded, but it eventually became clear that this was a cost move to reduce burn—and I was near the top of the payroll.

But we both knew it was over.

Epilogue: The Echo

NetBrowser limped along for a while after our departure. The core platform faded. But like the roots of a tree cut down too soon, our work continued to spread underground.

In 2003, NetBrowser was sold to a strategic investor. The name disappeared and was replaced by Modius. But the technology we built lived on—and that matters to people who love creating products the way we did.

Ujwal went on to build a real-time, nationwide biosensor monitoring platform for the U.S. government, using the same core architecture we had pioneered at NetBrowser. The embedded agent we had designed to live on so-called “dumb” machines? That concept evolved into what the world now knows as the Internet of Things.

The real-time, distributed database architecture we built years before it had a name would go on to precede what the tech world eventually called Big Data. Big Data became a market worth hundreds of billions of dollars and changed the nature of computing forever.

We were early. We were right. But we were just a few years too soon.

As for me, I went on to lead other companies—some of which went public, some were acquired, and some didn’t make it. But none of them ever matched the raw belief, the relentless energy, or the sheer audacity we had at NetBrowser. That wild certainty that we were building something the world would one day need.

And we were.

The company just didn’t live long enough to see it.

But ask any of us—Ujwal, Marc, the engineers, the original team who toiled through the nights—and we’ll all say the same thing:

We did rock.

And we’d do it all over again.


I have written this story with all the love, the passion, the lessons for the former startup crew at NetBrower. I do hope we somehow, somewhere may rock together again.  ✌️🫶🤟