Digital marketing and AI for teams that want to do it themselves
In the end it runs. Even without me.
AI does not replace digital marketing. But it can support creative work and take
recurring tasks off your team, from the monthly report to the twentieth ad
variant. I show you how that works day to day, and I stay reachable when something
jams.
Open the one that fits best. Underneath you will find what is usually behind it and
where I would start.
Our enquiries are drying up and nobody can tell us why.
What is usually behind it
It is rarely one single channel. More often demand has shifted while your
measurement stood still. The reports show clicks and reach, but not which
enquiry came from where. So budget wanders from channel to channel without
anyone seeing the effect.
Where I would start
With a look at your measurement: does it count enquiries or only clicks?
That is settled within days. Until it is, I would not change a single
campaign, because every further euro is a bet.
We know what we want to build. It just always takes too long.
What is usually behind it
Capacity is rarely the problem. Usually the projects are cut too large.
When every round of development is expensive, you pack as much into it as
you can to make it worthwhile. But large projects take longer, fail more
often and answer the real question last. Once a round becomes cheap, the
small cut pays off again.
Where I would start
With the smallest version that lets you test whether the idea holds. It
should be running in two weeks. The finished product comes afterwards, and
it often looks different from the plan.
We cannot find people, and nobody sees us online.
What is usually behind it
Usually it is less about reach than about a picture of you. Anyone
applying wants to know beforehand what it is like to work with you, and a
job ad rarely answers that. As long as that picture is missing, more ad
budget only spreads an empty message.
Where I would start
With the question of who in your company wants to be visible and is
allowed to be. Without that, every channel becomes a chore and falls
asleep after three months.
Four tasks from everyday marketing. You give the AI a brief and your material, and
back comes a first draft. Whether it is any good depends on a few tricks, and those
are listed under every example. They are what I teach your team.
Brief
Here is the campaign export for August. Turn it into the monthly report for management: the essentials at a glance and what we should change.
campaigns_august.xlsx · 279 rows
date channel campaign cost clicks leads
2026-08-01 google brand_exact 84.20 312 6
2026-08-01 google generic_broad 143.90 655 0
2026-08-01 meta retargeting 121.50 1,877 2
2026-08-01 meta lookalike_1pct 88.10 2,410 0
2026-08-01 linkedin dach_decision_makers 95.00 104 4
2026-08-02 google brand_exact 79.60 298 5
2026-08-02 google generic_broad 151.20 702 1
…
Result
Monthly report, August
279 rows analysed
412Enquiries▲ 9% vs. July
45,66 €per enquiry▼ 6% vs. July
Cost per enquiry by channel
LinkedIn30,16 €
Google37,45 €
Meta98,31 €
What stands out
LinkedIn brings the fewest clicks and the cheapest enquiries.
The generic Google campaign eats a quarter of the budget and brings 4% of the enquiries.
The lookalike campaign on Meta cost €2,730 and brought six enquiries.
Suggestion
Scale both campaigns back and test the freed budget on LinkedIn for four weeks. Then compare again.
The trickNever let AI estimate numbers, let it calculate them. Good tools show their working, and someone checks it before the report goes out.
Prepared examples with invented data, and the results are shortened. They run
without a network connection and without AI in the background, so the page stays
fast.
Here are our twelve ad creatives from last quarter, plus the numbers from the ad account. What do the strong ones have in common, and what does that mean for the next brief?
12 creatives · meta_ads_q3.csv
2,4 %
0,6 %
1,3 %
1,9 %
1,2 %
0,5 %
+ 6 more
What the strong creatives have in common
12 creatives · attributes read from the images
Attribute
Click rate with
without
Person in the image
1,9 %
0,8 %
Six words of text at most
1,8 %
0,7 %
Warm background
1,5 %
1,1 %
Product front and centre
0,9 %
1,6 %
What stands out
Creatives with a person and little text lead the field. The product on its own pulls the weakest, however beautifully it is shot.
For the next brief
A person cropped close, six words at most, warm background. The product waits for the landing page.
Twelve creatives are a small base. Treat this as a hypothesis for the next test, not as a rule.
The trickFirst have the AI describe every creative against fixed attributes, then do the maths. Ask straight out for the “best creatives” and you get taste instead of patterns.
Here are the notes from eight customer interviews. Build a persona from them so we can test our campaign idea on her.
customer_interviews.docx · 8 interviews
Interview 3 · Purchasing, mechanical engineering
“I always get three quotes. I read the first one properly and skim the others.”
“Price on request means too expensive, as far as I am concerned.”
Interview 5 · Technical lead
“If I have to call someone just to get a price, I am out.”
Interview 7 · Purchasing, supplier
“I hardly go to trade fairs any more. I find what matters online first.”
…
Persona from 8 interviews
Katrin, 46
Heads purchasing at a mechanical engineering company.
Wants
To compare quotes without calling first
Avoids
“Price on request”, trade fairs, marketing speak
You
Our idea is an ad that says “Book your consultation now”. Would you click?
Katrin
Probably not. A meeting means I only learn the price after an hour of talking. Show me a price range and I will happily talk.
based on interviews 3 and 5
You
Which trade magazine do you read?
Katrin
Your notes do not say. You would have to ask your real customers.
The trickThe persona answers only from the interview notes and says so when it does not know. Without that rule it invents answers that sound convincing and mean nothing.
Here is the transcript of our conversation with Jana from assembly. Turn it into a LinkedIn post, a paragraph for the careers page and three ideas for short videos.
transcript_jana.txt · 24 minutes
[03:12] I started here as a career changer. Before that I was a pastry chef. On my first day I thought: I will never manage this.
[03:40] My foreman said: tolerances are like cake bases. Measure and you do not have to guess.
[11:05] What keeps me here? That I can flag a mistake before it gets expensive.
…
LinkedIn post
Jana was a pastry chef before she joined our assembly team. On her first day she thought: I will never manage this. Today she says: “Tolerances are like cake bases. Measure and you do not have to guess.”
Careers page
Plenty of us come from completely different trades. Here you can flag a mistake before it gets expensive, and someone will teach you how to measure.
Three short videos
Jana’s hands, first on a cake base, then on a caliper.
Jana reads out her sentence from day one.
The foreman and Jana: two questions, twenty seconds.
The trickThe AI is told to leave Jana’s own sentences alone. Otherwise it smooths everything until every employer sounds the same.
What I do
Three fields where your team carries on by itself afterwards.
In all three I work the same way: set it up, show it, stay reachable.
Building it yourself with AI
With AI an idea turns into a tool that runs. Nobody needs to know how to code: I
set everything up, and your team builds the first one together with me.
What you get out of it
Ideas can be tested in days instead of quarters, and your team can do the testing.
Numbers that say something
First I check whether your measurement captures what really counts. Then we
develop a strategy that fits the market and the budget, and set up reports that
AI writes from your exports.
What you get out of it
Your team reads the numbers itself and acts on them, with no need for me as an interpreter.
Getting seen
I set up social media channels that fit your company, along with routines that
do not overwhelm a single person. With AI one conversation becomes material for
many posts.
What you get out of it
Your team posts regularly and in its own voice, even when the day is full.
Who I am
Marketing from experience. Technology out of curiosity.
I combine marketing expertise with technical curiosity. I have worked in digital
marketing for fourteen years, most of that time responsible for teams, and I
always wanted to know what sits behind the tools.
One is worth little without the other. People who only know the tools automate the
wrong tasks. People who only know marketing never get past trying things out. This
website came about the same way: built with AI, without me being a developer. So I
have walked the path your team is meant to walk.
For three years I taught at a university. Teaching is a fixed part of the work for
me.
Roles, projects and numbers gladly in conversation.
How it works
Four steps to enabling your team.
With every step I do less and your team does more.
Step 1 · on me
Setting up
Measurement, prompts, templates, routines. What gets built stays, even when I am gone.
Step 2 · together
Showing
On a real project, not on an example. Workshops without a project of your own fizzle out.
Step 3 · on you
Sparring
You do it. I am reachable when something jams.
Step 4 · goal
Enablement
Your team develops the routines further on its own. Whoever joins next learns it from you, not from me.
After every step you have something in your hands that you can use. Never just a document.
What I do not do
Two refusals.
So that you know from the start where you stand with me.
No ongoing channel management
I do not run communities and I do not work through editorial calendars. I set
the channels up and train your team, which then posts for itself. Whoever hands
the posting over hands over their own voice as well.
No permanent dependency
Every project has a handover goal. Sparring after that, gladly, even for years.
But I do not permanently replace anyone on your team.
On site in Hamburg, remote everywhere else.
Next step
Tell me what is jamming.
One conversation to work out whether we are a fit. If we are not, I will say so.