Growth Strategist, Performance Marketer, Developer, Data Scientist and Unicorn.
Hi, I'm Georg, a London based Growth Hacker, Data Scientist, and Developer with 14 years of experience turning ideas into thriving businesses. Today, everyone claims to be a developer or data scientist as long as they have an AI prompt open. The difference is who stays in control. I use AI where it genuinely earns its keep: simple, repetitive tasks and basic frontend scaffolds, which I then finish and perfect with real knowledge of the code underneath. The critical path in the backend stays hand built and controlled, TDD and BDD driven, so nothing ever changes unexpectedly. Behind that sit 14 years of hands on experience in data science, development, and performance marketing, and a real understanding of how the pieces connect to actually move the needle when growing your business. Oh, I am fluent in English and German 😘
An honest platform comparison for owners of small and medium sized shops in Germany, Austria and Switzerland. Shopify, Shopware, Magento, WooCommerce and Solidus compared on what actually decides the outcome: who owns the store, what the bill looks like over five years, whether Kauf auf Rechnung and OSS VAT work without a fight, where customisation stops, and how hard it is to leave. Written for the person signing the invoice, not for their developer.
A technical deep dive into server side tracking for marketers and developers who are tired of watching their conversion data degrade. Starts with an accessible explanation of why browser based tracking is failing, then gets properly technical with architecture diagrams, GTM Server Side Container configuration, Meta Conversions API implementation, Google Enhanced Conversions setup, deduplication logic to avoid double counting, consent mode integration, first party data enrichment strategies, infrastructure hosting options, debugging techniques, and honest cost analysis. Written for people who actually need to implement this, not just read about it.
Why the best content strategy in 2026 might be giving away everything on platform and expecting nothing in return. This piece explores the death of the link in bio era, why every major platform actively punishes outbound links, the counterintuitive economics of giving away your best work where people already are, platform specific tactics for LinkedIn, Twitter, Reddit, and TikTok, how to build a business when your content never drives a single click, and why brands obsessed with website traffic are losing to creators who stopped caring about it entirely.
A comprehensive and occasionally irreverent guide to community led growth, the practice of building business by genuinely participating in Reddit, Discord, Slack, and niche communities where your customers already congregate. Covers what CLG actually means and how it differs from community marketing, why traditional marketing tactics fail spectacularly in communities, how to participate without getting banned or becoming that person everyone mutes, the long game of building genuine relationships and trust, when to mention your product and when to absolutely not, measuring success when the metrics are fuzzy, and common mistakes that turn you into a cautionary tale in the community you were trying to impress.
A deeply technical guide to building dynamic pricing systems that integrate competitor intelligence, margin-aware advertising budget allocation, and profit maximisation algorithms. Covers the economics of price discrimination, why static pricing leaves money everywhere, how to crawl competitors and respond in real time, how to automatically reallocate ad spend based on product margins and inventory levels, and complete Ruby on Rails Solidus implementation code with working examples. Includes mathematical formulas for price elasticity, optimal markup, and budget allocation, plus system architecture diagrams. Written for developers and growth engineers who actually build these systems.
A comprehensive guide to dark social, the private sharing channels where the majority of recommendations and content sharing actually happens but which are completely invisible to your analytics. Covers what dark social is and why it matters, the measurement problem that makes most of your influential sharing show up as direct traffic, how to influence channels you cannot track, tactical optimisation for private sharing in Slack, WhatsApp, LinkedIn DMs, and email forwards, content structure that encourages dark social sharing, and how to think about attribution and measurement when your most valuable word of mouth is unmeasurable.
