Frequently Asked Questions
Data Foundations & Performance Clarity
What are data foundations and why do I need them?
Data foundations are the infrastructure and systems that track, connect, and analyze your sales and marketing performance. Most companies can't fix what's broken because they don't know what is. Without proper data structure, you're making decisions based on guesswork instead of facts.
What's included in the free data audit?
The free data audit assesses your existing data infrastructure, GTM performance tracking, operational workflows, and identifies gaps in your current setup. We examine how well your sales and marketing data connects, what metrics you're missing, and where automation could improve efficiency.
How do you help companies build data foundations?
I help establish the structure to track performance, understand unit economics, and connect sales/marketing data. This includes setting up proper tracking systems, defining key metrics, and creating processes to measure what actually drives growth instead of vanity metrics.
What's the difference between data foundations and analytics tools?
Analytics tools show you what happened. Data foundations tell you why it happened and what to do next. It's the difference between having data and having actionable insights that drive decisions.
AI Automation & Custom Agents
What are custom AI agents for business workflows?
Custom AI agents are specialized automation tools tailored to your specific business processes. They handle repetitive, high-value tasks like data processing, customer communications, or workflow management - freeing up your team for strategic work.
How is this different from ChatGPT or other AI tools?
Unlike generic AI tools, these are custom-built for your specific workflows, integrate with your existing systems, and can be deployed on-premise for security. They're trained on your organizational knowledge and work completely within your infrastructure.
What does "model-agnostic" mean?
Model-agnostic means you're not locked into any single AI provider (OpenAI, Google, etc.). The agents can switch between different AI models based on performance, cost, or specific task requirements, giving you flexibility and preventing vendor lock-in.
Can you give examples of business workflows that benefit from AI agents?
Common applications include data entry and processing, customer inquiry routing, content generation and review, sales pipeline management, compliance monitoring, and report generation. The key is identifying repetitive, rule-based tasks that consume valuable time.
How secure is on-premise deployment?
On-premise deployment means the AI agents run entirely within your own datacenter or cloud environment. Your sensitive data never leaves your infrastructure, maintaining complete control over security and compliance requirements.
GTM Strategy & Efficiency
What is a Go-To-Market (GTM) Strategy?
A GTM strategy is a comprehensive blueprint detailing how a company delivers its products or services to customers by integrating positioning, messaging, channel selection, sales enablement, pricing, and demand generation - all built on solid data foundations.
What is GTM Efficiency and why does it matter?
GTM Efficiency measures how cost-effectively your GTM efforts generate new revenue by comparing total expenses to the net new revenue produced. It shows whether your sales and marketing investments are actually driving profitable growth. Learn more about GTM Efficiency metrics and benchmarks →
What counts as GTM expenses?
GTM expenses include all costs tied to acquiring and expanding customer revenue—sales teams, marketing budgets, SDR/BDR operations, leadership, technology, training, and administration. Read our guide on calculating GTM expenses →
What is considered good GTM Efficiency?
Top performers often achieve less than 100% GTM Efficiency, meaning they spend less than $1 to generate $1 of new ARR, which correlates with higher revenue multiples and increased enterprise value. See industry benchmarks and success stories →
What is CAC payback and why is it important?
CAC (Customer Acquisition Cost) payback measures how long it takes to recover the cost of acquiring a new customer. It's a critical metric for B2B SaaS companies as it directly impacts cash flow and indicates the efficiency of your GTM strategy. Learn more about calculating and optimizing CAC payback →
What's considered a good CAC payback period?
For B2B SaaS companies, a CAC payback period of 12 months or less is generally considered good, with best-in-class companies achieving 6-8 months. However, this can vary based on your business model, pricing strategy, and target market. Learn more about industry benchmarks and best practices →
What's the 95:5 rule in marketing?
The 95:5 rule indicates that about 95% of your potential market isn't actively buying at any given time, yet most marketing strategies focus only on the 5% that are in-market. This creates a fundamental misalignment that data foundations help identify and correct.
How do you balance short-term revenue goals with long-term growth?
It's about building systems that track both immediate pipeline and long-term market presence. Data foundations help you measure leading indicators of future growth, not just lagging indicators of past performance.
Market Expansion
Do you only help companies expand into Scandinavia?
I help any company looking to enter or expand in Denmark and/or Sweden, regardless of their origin. Whether you're from the US, Germany, UK, or anywhere else, I provide data-driven market entry strategies with hands-on execution.
What makes Scandinavian market expansion different?
Each market has unique buyer behavior, cultural nuances, and competitive landscapes. Success requires local market expertise, proper data tracking for the new market, and adaptation of your value proposition - not just translation.
How do you measure success in market expansion?
We establish data foundations from day one to track market penetration, customer acquisition costs, pipeline quality, and partnership performance. This ensures you can optimize the expansion strategy based on real performance data.
Engagement Models & Pricing
What's the difference between Advisory and Advisory + Execution?
Advisory provides strategic guidance, data audit, and recommendations. Advisory + Execution adds hands-on implementation with performance-based compensation tied to measurable results. You start with advisory and can upgrade anytime.
How does performance-based pricing work?
Performance-based compensation is tied to specific, measurable outcomes like revenue growth, pipeline improvement, or efficiency gains. The exact metrics depend on your goals and are agreed upon upfront with clear measurement criteria.
What's included in the AI agents monthly license?
The monthly license (€1,000) includes platform access, ongoing updates, support, and the ability to run multiple AI agents. There's also a one-time setup fee that covers custom development, system integration, and training.
Can I start with just data foundations and add AI automation later?
Absolutely. Many clients start with the Strategic Partnership Program to build data foundations, then add AI automation once they have clear visibility into their processes. The data foundation actually makes AI implementation more effective.
Do you work with companies outside Scandinavia?
Yes, I work with companies globally for data foundations, AI automation, and GTM strategy. The Scandinavian Market Expansion service is specifically for companies entering Denmark/Sweden, but other services are available worldwide.