Technical know-how meets the spectrum of an all-rounder

I am not only a specialist in the field of Google Ads, but also have professional expertise on all other topics.

01 – Google Ads

Google Ads that pay off – not just run

Too many campaigns just run somehow. No clear conversion goal, no clean structure, nobody really optimizing. I build campaigns with a clear focus: qualified conversions, not clicks.

What I take care of

  • Shopping, Search, Performance Max, Demand Gen
  • Campaign architecture based on target audience and purchase intent
  • Consistent negative keyword management
  • Margin-based bidding strategies for e-commerce
  • Multi-stage funnel strategies for B2B
  • Seasonal budget planning and regular optimization
Success Principle Clean structure from the start. If you start with a poor foundation, you optimize against your own campaign.
02 – AI Ads

AI as a tool – not an autopilot.

Google pushes for full automation. Those who blindly accept it lose control. I use AI features strategically – as an amplifier of well-thought-out campaign logic, not as a replacement.

What I take care of

  • Strategic use of Smart Bidding and Performance Max
  • Configuration and control of AI-generated ad copy
  • Entry into AI Chat Ads on ChatGPT and Perplexity
  • Asset group structure and audience signals
  • Combination of classic Ads and new AI formats
Success Principle Early movers gain cost-effective visibility before the competition has the budget for it.
03 – Conversion Tracking

Measure first, then decide. Not the other way around.

Google Ads optimizes for what you measure. If the tracking is wrong, the algorithm optimizes for the wrong things – and you pay for it. I set up conversion tracking cleanly – once and reliably.

What I take care of

  • E-commerce tracking: capturing the entire purchase process
  • Lead tracking: forms, calls, appointment bookings
  • Google Tag Manager setup with Data Layer architecture
  • Server-side tracking as a privacy-compliant alternative
  • Clear separation between micro and macro conversions
  • Auditing existing setups – finding and fixing errors
Success Principle Set it up right once. Then measure reliably – and truly optimize based on that.
04 – SEO

SEO based on real data – not guesswork.

Campaign data shows which search terms actually lead to conversions – exactly those are set as SEO priorities. No guessing, no generic keyword tools.

What I take care of

  • On-page SEO: Titles, descriptions, heading structure
  • Technical SEO: Load times, crawlability, Core Web Vitals
  • Keyword strategy derived from real conversion data
  • Content clusters and information hierarchy
  • Regular audits instead of one-time optimization
Success Principle Paid data as SEO input. Knowing what converts allows for right prioritization.
05 – GEO

Staying visible when AI takes over search.

Organic traffic is dropping – even though rankings remain the same. AI systems answer questions directly. Whoever is cited as a source wins. GEO is the evolution of SEO for AI search.

What I take care of

  • Visibility analysis in AI search systems
  • Content optimization to become a citable source
  • Structured data, FAQ formats, topical authority
  • Content structures for Google AI Overviews
  • GEO as an addition to your existing SEO strategy
Success Principle Those who invest now secure visibility before the competition reacts.
06 – Agentic E-Commerce

Scaling without extra effort – through AI agents.

Operational tasks eat up time that is missing for strategy. AI agents take over repetitive processes independently, consistently, and scalably – while strategic control remains with humans.

What I take care of

  • Analysis of processes with automation potential
  • Conception and implementation of AI agent workflows
  • Automation of product descriptions and reporting
  • Connecting shop data and marketing automation
  • Phased rollout without a big-bang approach
Success Principle Deploy agents where volume is high and error tolerance is broad. Strategy remains with humans.
07 – Data Feed Management

Products that get shown – instead of rejected.

Poor feed quality costs impressions without anyone noticing. Most shops take feed data 1:1 from their shop system. That's not enough for good performance.

What I take care of

  • Title optimization based on search behavior instead of product names
  • Complete and correct attribute structure
  • Category mapping for better visibility
  • Custom labels for margin-based campaign management
  • Troubleshooting in Google Merchant Center
  • Regular feed audits
Success Principle Feed quality directly impacts campaign performance. Cutting corners here means paying higher CPCs.
08 – Analytics

Dashboards that enable decisions – not hinder them.

GA4 is running. But is the data foundation correct? And do you actually use it? I set up GA4 with a conversion focus and build dashboards that are readable for decision-makers – not analysts.

What I take care of

  • GA4 setup focused on conversion goals
  • Connecting GA4 and Google Ads
  • Looker Studio dashboards – readable and relevant for decisions
  • Remarketing lists based on real user behavior
  • Audience analysis: who buys, why, and when
  • Auditing and cleaning up existing GA4 setups
Success Principle Analytics and Ads need to talk to each other. Running both separately means losing optimization potential.
   
 

Let's find out what's possible for you.

No sales funnel, no call center. You talk to me directly and together we look at which strategy works best for your company.