Highly individual solutions from an unconventional senior freelancer.

My years of experience and broad expertise let me develop innovative, tailor-made solutions for my clients' specific needs. I work closely with my clients to understand and deliver on their goals and requirements. My way of working differs from that of a conventional freelancer, since I take a holistic approach that focuses on the whole organization rather than just a single project.

Focus areas: Performance Marketing, Data Analytics, Data Engineering, Machine Learning (ML) / Artificial Intelligence (AI), and Data Warehouse.

Performance Marketing, Data Analytics, and AI Data Engineering from a single source.

I help companies make data-driven decisions and optimize their marketing strategies based on facts, so marketing activities can be planned more precisely and effectively. Adding Machine Learning (ML) / Artificial Intelligence (AI) and Data Engineering lets companies automate and optimize their data processing to gain faster, more accurate insights. I offer this comprehensive solution myself, since I have solid expertise across all three areas.

Examples: Data deep dives for improved insights, optimization of marketing activities, marketing automation, customer journey analyses, attribution modeling, forecasting, or personalization.

Data-driven performance marketing – built on innovative Mar-Tech stacks.

Data-driven marketing only works if you combine innovative Mar-Tech stacks with the latest future-facing technologies. That's why I rely on innovation technologies from Google Cloud Platform, Amazon AWS, and Microsoft Azure. The most diverse data sources are combined – your own CRM and sales data, Google Analytics, Google Ads, or social ads. This builds a cross-organizational data warehouse for highly optimized performance marketing.

Examples: Google Cloud Platform, Amazon AWS, or Microsoft Azure for building your own data warehouses and data lakes. Use of technologies such as Machine Learning, Forecasting, or Anomaly Detection.

High-end optimization of performance marketing campaigns.

My performance audits give you a complete overview of the exact state of your campaigns. Based on this analysis, we then optimize your campaigns together down to the last detail. The optimization naturally includes targeting and optimizing your campaigns by demographic data such as gender, age group, or household income. Using artificial intelligence on your campaigns delivers a further layer of optimization for your costs and conversions.

Campaign types: Search Ads, dynamic search ads, GDN & Display Ads, YouTube Ads, Call Ads, Discovery Ads, Performance Max Campaigns, Shopping Ads, Smart Ads, Local Campaigns – and more.

Artificial intelligence for performance campaigns.

I focus on bringing the benefits of artificial intelligence into your performance marketing too. As the world keeps moving deeper into the digital age, artificial intelligence is currently a high-tech tool in performance marketing – built on cloud platforms optimized for machine learning with powerful processors, with no compromises on security or analysis.

Areas of application: Bid management and strategies including Smart Bidding, attribution optimization, Maximize Conversions, Target CPA, and ROAS optimization.

Real-time personalization and recommendations for websites.

Personalized ads are an effective way for advertisers to increase the relevance of advertising to users and boost ROI. Because more relevant ad content is presented based on online user data, both users and advertisers benefit. However, if you want to offer more relevant ad content based on user behavior or interest data, you must comply with the applicable data protection regulations and Google's policy standards.

Use cases: Personalized targeting of users, promotion of products and services, or curated audiences.

Fullistic Marketing and holistic automation.

Automate your performance marketing campaigns with intelligent bid management, sophisticated scripts, and our development services – to optimize processes or integrate with external databases. Factor in all available data in your steering to individualize and perfect your performance marketing.

Use cases: State-of-the-art Google Ads strategies, automated campaign optimization, Google Ads scripts, high-end optimization using external data such as weather, seasonality, or events (e.g., sports or politics).

Optimization of national & international campaigns.

I support mid-size and large companies in optimizing their national and international campaigns – and am therefore very experienced in working with international teams. My performance optimizations have already been deployed worldwide for clients on every continent, reaching end customers in over 160 countries.

Use cases: Conquering new markets, multilingual campaigns, delivery across continents, sub-continents, and country level.

Data Warehouse, Data Analytics, and Data Visualization.

I make your important data understandable and actionable, so you can make better decisions using interactive dashboards and clear reports. Data can be aggregated from many sources – including Google Analytics, Google Ads, Google Search Console, YouTube, and Campaign Manager 360.

Use cases: Management reporting, KPI dashboards, data visualization, big data analyses using Databricks, BigQuery, and SQL, Databricks & BigQuery ML and Vertex AI, Google Data Studio / Looker dashboards, Tableau and Power BI, Funnel.io, and Data Warehouse & Data Lakes.

AI agents for data analytics – talk directly to your data.

With my AI BigQuery agents, you can interact directly with your data in natural language – no SQL, no manual reports. The agent translates questions into high-performance BigQuery queries, analyzes the results in real time, and delivers precise, context-aware insights.

Use cases: Data deep dives for improved insights, optimization of marketing activities, marketing automation, customer journey analyses, attribution modeling, and forecasting.

Qualified under the EU Artificial Intelligence Act

Since February 2, 2025, new regulations for the use of artificial intelligence (AI) in businesses apply across the European Union. The EU AI Act requires every company to demonstrate that its staff have sufficient AI competency.

As a former lecturer at the Faculty of Technology at Bielefeld University and a former associate member of the CITEC (Center for Cognitive Interaction Technology) Cluster of Excellence, I hold the qualifications in artificial intelligence required under the EU Artificial Intelligence Act.

Use cases: Customized Machine Learning, AI Development, Deep Learning, BigQuery ML, and Vertex AI.