Stefan Maritz

Buyers no longer move through conventional stages in a neat, predictable order.

They’re smarter, more informed, and frankly, far less patient.

The old funnel (gated content, MQLs, nurture emails, and sales outreach) assumes that downloading an ebook signals intent.

It doesn’t.

You might generate a flood of “leads” chasing those metrics, but most aren’t anywhere near ready to buy.

This model no longer works. You want to focus on revenue-driving B2B demand generation strategies.

B2B marketing should measure progress by meaningful engagement and real buying signals.

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Most Account-Based Marketing (ABM) courses fail. Despite 94% of B2B marketing teams running ABM programs in 2020, only 22% were deemed successful as of 2023. Four out of five programs crash because ABM isn’t just another tactic—it’s organizational change. It demands sales  and  marketing alignment, dedicated resources, clear measurement frameworks, and smart targeting. But how do you achieve this?

We’ve analyzed today’s top ABM courses not by their marketing claims, but by one simple test: Would this actually help me launch a live, revenue-generating ABM program?

Here’s what’s worth your time and money.

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Account-based marketing is nearly universal now. But ubiquity hasn’t translated into impact. 

90% of B2B organisations have an ABM strategy in place, yet only 39% can prove it’s working. The majority of ABM leaders aren’t fully leveraging account intelligence, the capability most closely tied to strong ROI, leaving them stuck in execution limbo.

That gap explains the contradiction at the heart of modern ABM.

Because when ABM works, it really works.

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Your landing page is where curiosity turns into intent—or gets buried in a tab you’ll never see again. Buyers lose interest in seconds. And once that happens, it’s pretty hard to get them back.

You’ve seen the numbers. A prospect clicks your $50 LinkedIn ad, lands on your page, but nothing happens, leaving you with a smaller budget and zero insight into why.

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LinkedIn is crowded, and it’s only getting worse. 

Over 3 million posts go live daily, many of them AI-polished filler, recycled carousels, or marketing posts trying really hard to go viral.

When growth becomes stagnant or lead quality dips, it’s tempting to turn to paid ads as a quick fix. And for B2B marketers, LinkedIn often tops that list. 

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Why Teams Should Focus on Strategy, Not Small Tweaks

Experimentation is changing. Fast.

What was once a human-led process—running A/B tests, tweaking User Interface (UI) elements, and optimizing conversion paths—will increasingly be handed over to AI.

With AI automating tests and variations, humans now have the opportunity to focus on big bets—experiments that don’t just tweak conversions but fundamentally impact business strategy and growth. This shift marks a new era in AI Conversion Rate Optimization (CRO), where automation enables teams to think strategically rather than tactically.

However, it does raise some critical questions: What happens to experimentation teams when AI runs more tests? How does AI-driven testing change the economics of experimentation?

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Ever poured thousands into ads targeting the “perfect audience” only to watch your money disappear?

You’re not alone.

Most marketers skip the crucial first step that separates winners from losers: finding your actual crowd before scaling.

I’ve seen companies blow six figures on campaigns targeting audiences they thought would convert. Spoiler alert: most didn’t.

The problem isn’t your product. It’s not even your messaging (yet). It’s that you’re talking to the wrong damn people.

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