Marketing Automation

Automating marketing workflows and campaigns

Cookieless Marketing: The Complete First-Party Data Strategy for 2026

A comprehensive guide to marketing in the post-cookie era. Covers why third-party cookies are effectively dead even without Google killing them, the four pillars of cookieless marketing (first-party data, zero-party data, contextual advertising, privacy-preserving measurement), technical implementation including Customer Data Platforms, server-side tracking, and consent management, practical tactics for collecting first-party data through value exchange, how to activate first-party data for targeting and personalisation, privacy-preserving measurement approaches including Marketing Mix Modelling and incrementality testing, and a detailed implementation roadmap for SaaS and eCommerce businesses.

Data ScienceeCommerceGDPRGrowth HackingMarketing AutomationSaaS

SEO vs AIO vs GEO vs AEO: The Complete Guide to AI Search Optimisation in 2026

A comprehensive guide to the four layers of modern search visibility: SEO (Search Engine Optimisation), AEO (Answer Engine Optimisation), GEO (Generative Engine Optimisation), and AIO (AI Optimisation). Explains what each layer means, why the shift from ten blue links to AI-generated answers changes everything, how the layers work together, and provides detailed implementation tactics for each. Covers structured data, entity optimisation, citation earning, trust signal building, and how to measure success across all four layers. Includes common mistakes, priority order for implementation, and practical examples for SaaS and eCommerce businesses.

AIeCommerceGrowth HackingMarketing AutomationSaaSSEO

Data Roles in Practice: How Data Engineers, Scientists, and Analysts Actually Grow SaaS and eCommerce Businesses

A deeply practical guide to what data engineers, data scientists, and data analysts actually do to grow SaaS and eCommerce businesses. Each use case includes why it matters, exactly how it is done, the measurable impact with real revenue and profit examples, and an importance rating from 1 to 10. Covers everything from building unified customer views and calculating true customer lifetime value to predicting churn, optimising pricing, running incrementality tests, and building recommendation engines. No theory, just tactics with numbers.

Data ScienceeCommerceGrowth HackingMarketing AutomationSaaSStatistics

Data Engineer, Data Scientist, Data Analyst: Who Does What, and Why Your Growth Depends on Them

A comprehensive guide to understanding the differences between data engineers, data scientists, and data analysts, using a single running example of a coffee subscription business to illustrate exactly what each role does and why. Covers the data engineer as the plumber who builds reliable data infrastructure, the data analyst as the translator who explains what is happening in plain English, and the data scientist as the predictor who forecasts what will happen next and designs experiments to test interventions. Explores why these roles matter for growth hacking, software development, and digital marketing, and what happens to businesses that skip them. Includes practical advice on hiring order and avoiding expensive mistakes.

Data ScienceeCommerceGrowth HackingMarketing AutomationSaaS

53 Growth Hacks You Can Implement This Afternoon (Most Take Less Than an Hour)

The ultimate no-nonsense growth hacking cheat sheet from someone who has actually done it. 53 low-hanging fruit tactics across website optimisation, SEO, AIO, GEO, email marketing, and performance marketing that you can implement today. Each tip includes the problem it solves, exactly how to fix it, and the impact you can expect. No fluff, no theory, just actionable stuff that actually moves the needle. Whether you are a startup founder, a solo marketer, or just someone who wants their website to stop being invisible, this is the guide you bookmark and actually use.

eCommerceGrowth HackingMarketing AutomationSaaSSEO

Time to Market: The Critical Path to Shipping Products That Matter

A comprehensive guide to shipping products faster without sacrificing what matters. Covers critical path methodology and how to identify what actually blocks launch, the over-engineering trap and why perfect is the enemy of shipped, QA reality and accepting that users will break things you never imagined, the trust the process mindset for working under pressure, time management strategies for maintaining quality under deadline pressure, why customers must define design and logic instead of management teams in meeting rooms, maximising profit by minimising waste, and testing products with real users before committing massive budgets. Includes detailed examples from e-commerce, SaaS, fintech, and agency work with multiple perspectives on each principle.

eCommerceGrowth HackingMarketing AutomationSaaS

The Complete Guide to Digital Marketing Testing Methods

A comprehensive deep dive into every major testing methodology used in digital marketing. Covers running without tests, A/B testing with two variants, multi-split testing with three or more variants, multivariate testing for element combinations, holdout control groups for measuring incremental lift, geographic split testing for regional campaigns, audience split testing for segment-specific optimisation, and sequential time-based testing for low-traffic scenarios. Each method includes detailed explanations of when to use it, statistical requirements, implementation considerations, advantages and disadvantages, and real-world examples across e-commerce, SaaS, fintech, travel, and retail industries.

Data ScienceeCommerceGrowth HackingMarketing AutomationSaaSStatistics

Onboarding and Habit Formation: The Science of Making Products Stick

A comprehensive deep dive into the psychology and mechanics of user onboarding and habit formation. From finding your product's Aha moment through cohort analysis to Nir Eyal's Hook model, James Clear's habit stacking, the Zeigarnik effect, endowed progress effect, and goal gradient effect. Includes Chamath Palihapitiya's Facebook growth team methodology, research data, Python code for measuring activation, and practical implementation strategies.

Consumer PsychologyData ScienceGrowth HackingMarketing AutomationSaaS

Less Well Known but Battle Tested: The Hidden Psychology That Actually Converts

A comprehensive deep dive into 18 lesser-known but highly effective psychology principles for conversion and retention. From goal-gradient acceleration and temporal landmarks to identity-based marketing, implementation intentions, foot-in-the-door, labour illusion, operational transparency, defaults as nudges, status games, sunk cost retention, social comparison, reactance, and risk reversal. Includes research data, Python code for measuring impact, and practical implementation strategies backed by academic literature.

Consumer PsychologyData ScienceeCommerceGrowth HackingGrowth HacksMarketing AutomationSaaS

The Math Behind It All: Growth Marketing Mathematics Explained

A comprehensive deep dive into the mathematics that powers growth marketing and data-driven decision making. From LTV:CAC ratio and payback period to cohort analysis, survival analysis with Kaplan-Meier curves, Bayesian A/B testing, multi-armed bandits with Thompson sampling, marketing mix modelling vs attribution, power law distributions, price elasticity with Van Westendorp's price sensitivity meter, and the compounding math of retention. Includes LaTeX formulas, Python code, visual explanations, and practical implementation guidance for both beginners and advanced practitioners.

Data ScienceeCommerceGrowth HackingMarketing AutomationSaaSStatistics

Privacy-First Growth Hacking: How to Personalise Without Being Creepy

Third-party cookies are dead, browser tracking is gutted, and regulators are fining companies hundreds of millions for getting consent wrong. But personalisation still works - it just needs a different foundation. This post covers consent-based personalisation, server-side tracking architecture, first-party and zero-party data strategies that actually perform, and the practical Rails code to make it all work across the DACH market. Real examples from four products serving Austrian, German, and Swiss users, with jurisdiction-aware consent handling built in.

eCommerceGDPRGrowth HackingMachine LearningMarketing Automation

Building GDPR-Compliant AI Features in Your SaaS

A developer's practical walkthrough of Data Processing Agreements, Privacy by Design, and Data Protection Impact Assessments for AI features. Not the legal theory, the actual Rails code and architecture decisions you need to make before shipping AI features to production. With real examples from four production Ruby on Rails applications: GrowCentric.ai (marketing optimisation), Stint.co (marketing dashboard), Regios.at (regional platform), and Auto-Prammer.at (automotive marketplace on Solidus).

AIGDPRMachine LearningMarketing AutomationSaaS

AI-Powered Marketing Automation: Beyond Email Drips

Most marketing automation in 2026 is still glorified email scheduling. Send this email on day 3. Send a follow-up on day 7. If they click, send offer A. If not, send offer B. That is not AI. That is a flowchart. Real AI-powered marketing automation means dynamic pricing that adjusts to demand in real time, personalised product recommendations that learn from behaviour, predictive churn detection that intervenes before customers leave, and autonomous campaign optimisation that reallocates budget without waiting for a human to notice what is happening. This is what I am building with GrowCentric.ai, and this is what I implement for ecommerce clients on Rails and Solidus.

AIeCommerceMachine LearningMarketing AutomationSaaS

The EU Cyber Resilience Act Is Coming: What It Means, Who Needs to Prepare, and How I Can Help

The EU Cyber Resilience Act entered into force in December 2024, with reporting obligations kicking in September 2026 and full enforcement by December 2027. If you build, sell, or distribute software or connected products in the EU, this affects you. Here is what you need to know, what you need to do, and how a Growth Hacker and SaaS developer with cybersecurity experience can help you get compliant.

eCommerceGDPRMarketing AutomationSaaS