Google Ads Experts in Germany

• Planning, optimization, and analysis of SEA and Meta campaigns
• Planning and execution of automations and mailings
• Optimization of landing pages (funnel, structure, copy, image)
• Creation of creatives, media plans, and reports
• Planning and support for the move to server-side tracking

With Brandancy, I take on marketing leadership for companies that want to move forward strategically but cannot or do not want to fill a permanent CMO position. Two models: embedded as a Fractional CMO for several months or project-based as a specialist for performance marketing and SEA.

Responsibilities

• Development of marketing strategy and positioning, from analysis to a concrete action plan
• Building and managing funnels, campaign structures, and conversion optimization
• Responsibility for paid media budgets in Google Ads, Microsoft Advertising, Meta, and LinkedIn
• Technical foundation: tracking setup, GA4, GTM, Search Console, reporting structures that are understood outside of marketing as well
• SEO and GEO, meaning visibility in classic search and in AI-supported answer systems
• Integration of AI into existing marketing processes: content production, research, reporting, lead qualification
• Building and leading internal marketing teams, managing agencies and service providers Onboarding successors and documenting everything so structures continue after the mandate

Results

• Built a complete digital setup for a real estate company in six weeks, from tracking to campaigns to content
• As Fractional CMO, on site monthly in Madrid, built a digital team and took responsibility for funnel and UI/UX strategy
• Consolidated the LinkedIn presence of a B2B FinTech holding with seven subsidiaries and established a content strategy
• Handed over marketing onboarding and documentation for a new Head of Marketing, and operations continued without interruption

Focus areas

• Fractional CMO for mid-sized companies, growing businesses, and startups
• Performance marketing and SEA with more than 14 years of hands-on experience
• AI in marketing processes, as a way of working rather than a tool demo

Strategic Marketing / New Customer Acquisition (B2B):

• Market and competition analysis: Identified competitors, developed evaluation grids, sketched provider landscape with potential customers, competitors and partners
• Concept for a cross-media, personalized multi-touch campaign
• Developed the multi-touch strategy in different variants with several stages, defined touchpoints, target companies and target people, developed the ideal customer profile and contact ideas
• Designed all individual measures: developed concepts for letters, postcards, landing pages, emails, phone calls and downloads
• Visualized the logic of the contact sequences (flowchart)
• Described the distinction from "account-based marketing"
• Implementation planning: Researched providers for packaging, shipping and landing page software, negotiated terms, recommended tools and partners

Social Media Marketing:

• Target categorization, definition and recommendation for action
• Review and selection of channels
• Concept for channel management
• Developed an 11-week editorial plan (Instagram & LinkedIn)
• Created, implemented and published image and video posts
• Campaign launch, ongoing monitoring and optimization

Search Engine Optimization (SEO):

• Website audit with indexing check
• Ranking, backlink, traffic and competition analysis
• Analyzed search and user behavior
• Consulting on SEO risks during relaunches with domain changes
• Keyword research and recommendations for action

• Use of AI tools (ChatGPT Pro, Google Gemini Plus, Claude Pro, Make.com Pro, n8n, Sora, Google Veo3, Octoparse Professional)
• Creation of high-quality sales pipelines in CRM Pipedrive
• Automated lead generation and qualification via web scraping and AI analysis
• Development of social selling and sales materials
• 56% lead-to-deal conversion; approx. €140k in own closings

• Mentor team of 6 ML platform engineers through weekly 1:1s, technical design reviews, and best practices, improving team velocity by 35% through structured sprint planning and skill development programs
• Define 2025–2026 ML platform roadmap in collaboration with Data Science, Cloud Engineering, and Product teams, prioritizing automated model governance, cost attribution systems, and multi-environment deployment strategies
• Partner with Data Science, SRE, and Product stakeholders to align ML platform capabilities with business objectives, reducing data scientist deployment friction by 60% through self-service platforms
• Architect and deliver production-grade MLOps platform supporting 50+ models in production with automated promotion pipelines, versioning, and rollback capabilities, achieving 99.5% platform uptime SLA
• Design distributed ML pipeline architecture using Metaflow and Argo Workflows (Vertex Pipelines-compatible), reducing model training time by 30% and deployment cycles from 2 weeks to 3 days through full CI/CD automation
• Build containerized ML services on Kubernetes with auto-scaling policies, resource quotas, and multi-tenancy isolation, optimizing infrastructure costs by $180K annually (25% reduction)
• Implement monitoring, alerting, and performance tracking using Prometheus, Grafana, and custom instrumentation, reducing model debugging time by 50% and establishing model performance SLOs
• Lead development of RAG-based document intelligence platform using LangChain, LangGraph, and vector databases, implementing agentic AI workflows for automated financial document processing
• Implement Infrastructure-as-Code using Terraform for reproducible environment provisioning and GitOps workflows, reducing infrastructure drift incidents by 80%
• Design role-based access control for ML platform, implement model lineage tracking, and establish audit trails for regulatory compliance aligned with enterprise IAM best practices

I help companies and digital teams win back time in their day-to-day work – by automating recurring processes and improving digital products in a targeted way. Depending on the need, either in execution or at leadership level (interim).

Typical results:

• Manual routine processes run automatically – requests, data maintenance, follow-ups
• Faster response times and fewer things left sitting in day-to-day operations
• Clear priorities in product and digitalization initiatives, practical instead of overbuilt

How: modern No/Low-Code automation (including n8n, Make.com), combined with experience as a Managing Director and digital product lead. The tool is never the starting point – the question is always where a solution creates real value.

• Manage and coordinate complex, data-driven digital campaigns across multiple platforms (DSPs, Ad Servers, DCO).
• Collaborate with cross-functional teams, clients, and external partners to ensure seamless campaign execution.
• Develop and implement quality standards to improve operational efficiency and campaign performance.
• Analyze client requirements and translate them into strategic campaign concepts and operational roadmaps.
• Advise and enable internal teams and clients on digital marketing and campaign management best practices.
• Oversee end-to-end campaign delivery, including planning, execution, monitoring, and optimization.

• Analysis of the existing reporting platform including processes and governance topics with stakeholders from sales and marketing.

• Detailed analysis and evaluation of client-defined requirements for existing reporting and new dashboards.

• Supporting stakeholders in managing sales processes and early detection of KPI trends.

• Use of Microsoft Power BI as central analysis and reporting platform.

• Developing a proposal for the necessary evolution of processes and the Power BI platform.

• Gathering current business processes and defining company-wide KPIs in coordination with stakeholders.

• Analysis and inventory of the client's Power BI platform.

• Analysis of processes and data governance.

• Recording and documenting current business processes.

• Developing recommendations for process and reporting platform improvements.

• Designing and implementing dashboards in Power BI.

• Defining company-wide KPIs and aligning them with stakeholders.

• Microsoft Power BI.

• Data analytics.

• KPI definition and reporting.

• Dashboard design and data visualization.

• Stakeholder management and requirements management.

• Lead generation for S2 Software in 10 European countries
• Google Ads (& Bing) and funnel optimization (A/B testing, copywriting, etc.)
• Increased leads by 250% between October and April (the company has been on the market for 10+ years)
• Responsible for the performance of 8 lead-gen websites and 2 online shops

• Bootcamp Coach: "Digital Sales with AI" for neuefische GmbH
• Creation of curriculum and content for career changers seeking to start a career in digital sales
• Teaching of methods and tactics for an exhaustive tech stack:
• AI Agents Zapier and make.com
• AI Tools Midjourney, heygen, Text-Text LLMs (ChatGPT, Claude, Gemini etc.)
• Sales Software Stack: Fireflies, HubSpot, WIX, Talkwalker

SEO optimization of a coaching website based on WordPress, with a focus on keyword research, on-page optimization, and lead generation.

Responsibilities:

• Development of an SEO strategy based on keyword research
• Creation and optimization of landing pages
• Optimization of site structure, internal linking, and on-page factors
• Optimization of the Google Business Profile to improve local visibility
• Consulting and prioritization of further SEO measures

• Managing the operational back office
• Handling quotations and invoicing
• Supporting preparatory accounting
• Coordinating appointments and operational alignments
• Interface management between management, clients, and external partners
• Structuring administrative processes in day-to-day business

By taking over operational back office tasks, management is noticeably relieved. Administrative processes run in a more structured, reliable, and efficient way, creating more time for clients, projects, and entrepreneurial decisions.

• Operational implementation of the growth levers of growing E-Com brands: SEO, GEO, SEA, shop, conversion, and automation of recurring processes.
• Building and managing specialized AI agent systems that work as roles (SEO, content, conversion, Shopify engineering) instead of single prompts.
• Working either as done-for-you execution or as done-with-you setup, where the brand's team can continue working on its own afterward.
• Customers and projects include TeamTex and Original Veddel, Störtebekker, ConstructionX.
• AI workshops and enablement formats for specialist and leadership teams, plus the joint webinar series AI Vibe Club with Xentral.

Conventional Paradigm Test (CPT) – AI Evaluation & LLM Research

Development of an experimental evaluation approach to examine “paradigmatic closure” in Large Language Models — that is, the question of how far LLMs can recognize the basic assumptions, values, and limits of the paradigms within which they generate answers.

Design and testing of an additional approach to classic AI benchmarks that does not primarily measure factual correctness or task performance, but instead examines a model’s ability to recognize alternative perspectives, make implicit assumptions visible, and reflect on the limits of its own answer or interpretation framework.

Focus areas: development of evaluation criteria and test questions · LLM evaluation and comparative model analysis · prompt and response analysis · qualitative classification of model answers · study of epistemic compression and value leakage · benchmark and literature research · development of structured assessment and analysis methods

As part of CPT, existing AI evaluation approaches and benchmarks were analyzed, and a minimalist test protocol was developed that classifies model answers by response patterns such as DIRECT, CLARIFY, PLURALIST, REFUSE, and META-AWARE. TruthfulQA was used as the basis for experimental application and comparison with existing reference answers.

Technologies & Methods: Large Language Models (LLMs) · Generative AI · Prompt Engineering · AI Evaluation · TruthfulQA · Benchmark Analysis · Human-in-the-Loop Evaluation · Qualitative Content Analysis · Research & Literature Review