Experience from our own implementation – what worked, what did not, and what it came down to in each case.
A realistic course month by month — with the dip in month two, the three points where most people stop, and the signs that it is holding.
How to measure the actual waiting times, which five points cost the most time, and which measures work at each of them — without pressuring the customer.
How a fixed image recipe builds a recognisable visual language, and what to settle legally and technically before publishing.
Why most editorial plans get abandoned after six weeks, which five columns are enough, and what a plan looks like that keeps running through interruptions.
How duplicates arise, which rules govern merging, what can get lost in the process — and how to stop them coming back.
Why classic A/B tests say nothing below a few thousand visitors, which five approaches work instead, and how to assess changes defensibly anyway.
When to ask, how to lower the hurdle, which four questions produce a usable reference — and what has to be settled legally before publication.
Why the open rate has measured little since automatic image preloading, and what actually decides whether a message gets opened.
How tool sprawl arises, which four questions to ask per tool, and how to get from twelve to five in three steps without losing data or processes.
Why choosing the tool is the smallest decision, which four skills actually have to be taught, and what an introduction over twelve weeks looks like.
Ten derived formats from one thorough article — with the difference between reusing and merely splitting up, and a process that runs in two hours.
How many attempts are defensible, at what intervals, and what separates helpful following up from irritating — with the stop rules.
How to read the intent behind a query off the results page, which four intents exist, and why the wrong intent never reaches the top.
Why language models produce plausible-sounding false details, which five kinds of detail are most affected, and which measures actually help day to day.
Why four segments usually beat twenty — with the three characteristics worth separating on, and the question of when a segment stops being worth it.
Six starting points from the form field to changing channel — with effort, expected effect and the order to actually work through them in.
Fixed spelling rules, a short list of values and one central register — so the analysis still tells you something two years later.
The step from a single request to a repeatable process — the three readiness conditions and the places a human has to stay.
Sorted by the task to be done rather than by vendor — with the properties that matter per working step, and when switching costs time instead of saving it.
Sorted by task rather than by vendor — with an assessment of effort, benefit and risk, and a clear recommendation on which three to start with.
Three questions decide whether personal data may go into an AI system: contract, place of processing, and use for training.
From 58 to 100: the concrete changes to our own website, with before and after measurements — and the mistake that cost us 24 points.
SPF, DKIM and DMARC explained plainly: what the three records do, the order to set them up in, and why emails still fail to arrive when they are in place.
Sorted by task, each with an explanation of why it is built that way — plus the four building blocks you can assemble any prompt of your own from.
The difference between more text and more effect: a five-stage production process and the three warning signs of dilution.
The break point where most automation fails — with the definition both sides have to sign, the three handover models, and what happens to rejected leads.
Section by section, with reasoning instead of rules of thumb: what belongs at the top, and which five mistakes cost the most enquiries.
A complete five-step process using free sources, a sound way to judge keywords without volume data, and a clear line for when paid tools start to pay off.
A concrete plan for founders and small firms: what to do in weeks 1 to 12, what is deliberately left out, and how to tell it is working.
Eleven formats compared, sorted by buying stage and effort. Which lead magnets actually bring in contacts, which only create work, and why.
The order of adoption decides whether the rest works: which building block comes first, and which four to leave out at the start.
MCP is the open standard through which AI systems access your own data and tools. How it differs from a normal interface, and what to settle first.
How Claude and ChatGPT differ in day-to-day marketing work, which system solves which task better, and where each one falls short — with prompts to copy.
