Acquire and expand customers quicker, cheaper, and for longer | Coaches B2B scale-ups scale more efficiently and effectively through proven frameworks | Organizing the MarTech World Forum London 2024

If your board or investors ask simple revenue questions and three people disappear into Excel, we need to talk.

Your forecast sounds confident on Monday. By Thursday, reality disagrees, and no one can explain why.
You spend more time arguing about stages than coaching deals. 
Deals do not die in your CRM. They just quietly age out while everyone watches.

The heroics that got you here are now the bottleneck. You have 15 dashboards, forecast theatre instead of truth, and a revenue engine leaking cash at invisible handoff points.

You are not bad at this. The system is.

I help €20 to 100M B2B SaaS scale-ups turn scattered data and forecast theatre into a revenue engine you can actually steer. Within 90 days. Without a reorg, new tools, or hiring a full-time VP RevOps.

Your RevOps team owns the system when I leave. I bring the pattern. They keep it running.

We start with a fast 4-part maturity scan to find the real constraint. Then we install three structures:
→ One-page strategy linking goals to the programs that actually move pipeline, win rates, and NRR.
→ One Revenue Room where metrics, risks, and decisions live in one view. No more "marketing numbers" vs "sales numbers." Just the number.
→ One operating cadence that replaces updates with decisions. If we are not making decisions, we are just having expensive coffee.

When it works, you explain where pipeline is healthy, where it is leaking, and how you are fixing it in 10 minutes flat. You get the headspace to think 3 years ahead, not 3 hours behind.

I am Rutger Katz, Fractional VP of RevOps.
Most RevOps people grew up in the growth bubble. They know how to spend money. I spent 15 years architecting efficient growth, so I know how to stop wasting money.

At one tech company, I uncovered €1M in unseen upsell opportunities. 
At Relay42, I rebuilt onboarding and adoption to move NRR.

Stop drifting. Start steering.
Revenue Engine Checkup in Featured. 10 minutes.
Or DM me "CHECKUP" for the questions directly.

I also speak/podcast guest on strategic RevOps, neurodivergence in leadership, and scaling to 100M ARR. 
Check www.neontriforce.com/speaking for more

Rutger Katz

Let's talk MarTech | Senior MarTech Architect @DBSystel 🚊 | Digital Transformation Advocate as MarTechHero | Driving Marketing Innovation

MarTech Architect, a beacon of change and innovation in the marketing technology landscape. My 15+ years of experience have been driven by a relentless quest to revolutionize digital marketing practices.

My expertise lies in developing and leading high-impact Performance Marketing and MarTech teams. I've integrated a suite of state-of-the-art tools—like Customer Data Platform (CDP), Marketing Automation Platform (MAP), Data Feed Management, Marketing Mix Modeling (MMM), Data Management Platforms (DMP), and Consent Management Platform (CMP) — and pioneered post-cookie strategies, leaving a significant mark on major brands like mobile.de, AutoScout24, and Immoscout24.

Now at DBSystel, I'm poised to leverage my consultancy expertise to architect marketing technology solutions that not only meet the current demands but also define the future. 

If you're seeking to shape the future of MarTech, transform your digital strategy, or unlock the power of data-driven marketing, let's connect.

Stephan Goetze

I created a 1-minute AI short movie for fun about Marketing & MarTech history milestones. I optimized for learning speed and cost control, not perfection.

Setup.
 • OpenAI 4o Image gen for reference frames.
 • ChatGPT for Kling AI prompts
 • KlingAI 1.5 Pro for video sequences.
 • API hub AIMLAPI for model access and switching.
 • n8n for orchestration and full run logging.

What worked.
 • One API hub beats many direct integrations early on.
 • Model switching stays cheap and flexible.
 • Logging every attempt turns cost into insight.

What failed.
 • “One good prompt” thinking.
 • Skipping documentation because results look okay.

Outcome.
A ~1-minute short film built from many small, logged experiments.

Lesson.
The cheapest way to learn AI video is not fewer runs.
It is smaller runs with full traceability.

Next.
Prompt generation by agents
Lane-based workflows for images, short clips, long videos
Selective reruns based on logged performance.

#GenAI #AIVideo #MarTech #Automation #n8n #GenerativeAI #MarTechHero #PromptEngineering #LowCode #MarketingOps

Helping marketing teams build MarTech stacks they can run | Senior MarTech Architect @ DB Systel 🚊| MarTechHero

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The Battle

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Stephan Goetze

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Stephan Goetze's LinkedIn Performance

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