The margin stays with the retailer, and so does the customer data. When the wholesaler trims the range, you notice it in your capacity. Your own channel is not a shop plug-in – it is a piece of your business, with logistics, payment methods, legal requirements and visibility.
Agentic marketing – Agents research, draft and check blog articles, newsletters and customer replies. Anything that goes public is approved by a person – because your brand is public, and a mistake there costs more than time.
A channel that fits your business: shop or B2B portal, payment methods, shipping, legal texts, visibility through content instead of advertising budget. And an honest answer to the Amazon question: when it pays – and when it does not. I built this for my own brand and have been running it for years.
Margin through retail versus margin direct, costs of logistics and payment methods, realistic visitor numbers. If the channel cannot carry itself, I tell you the day after.
Shop or B2B ordering portal, connected to stock and invoicing, shipping logic, legal texts. Nothing your team cannot operate.
Content that customers really search for, in a structure that lasts. Newsletters and customer questions that largely take care of themselves.
Own shop in five languages, B2B channel, Amazon, retail in seven countries. 100,000 glasses a year. Kickstarter funded in under three hours.
The newsletter builds itself from the shop, the chatbot answers customer questions from a maintained knowledge base. Both run in my business, and I will show you both.
For years I paid agencies for search engine texts and got keyword deserts in return. So I built a system of my own. At the start there is a person with a topic and the facts, at the end a person who approves. In between, five agents do the work, and each one checks the other.
Apres Allstars blog, Google Search Console, as of September 2026.
Reads the top ten results on Google and finds what is missing there.
Works with real search data and defines what the article should be found for.
Decides which product fits where and corrects wrong details.
Verifies every checkable statement: figures, rules, dates, prices.
Reads the finished text like a reader and decides: approve or send back.
After my approval the article goes into the shop blog via an interface, including the other language versions. Fixed rules such as structure and linking are checked by a script, not by gut feeling.
I do not write your texts. I set the system up in your business, tailor it to your products and hand it over – so your team runs it themselves. Whether that pays off for you is what we find out on the Test Bench.
When I have time, I click on a calendar week. A research agent fetches matching YouTube videos and news on digitalisation, product development and AI, and Claude pre-sorts them. I review and approve, Claude writes the text in my tone in German and English. It only goes to the people whose topics match – and only when I press send.
Diagrams in German.
It does not have to be your own server. In the Apres Allstars shop the same process runs on a newsletter service many businesses already use.
Example August 2026: 3,009 recipients, 17.7 % open rate.
Which content your customers really read and what a newsletter is worth to you in euros is what we find out on the Test Bench.
Every business that sells products sits on thousands of photos and videos: shoots, trade fairs, production, ads, customer pictures. Hardly any of it gets found, because nobody knows what is in which folder. For Apres Allstars I had the whole marketing archive read automatically. Every image now has a description and keywords, every video a summary, quotes and a transcript. You search for what is in the picture – not for the file name.
Apres Allstars marketing archive, as of October 2026.
Images and videos stay where they are. The system describes every subject, transcribes spoken passages and notes what can be seen at which second.
Type something like “hands production” or “group snow shotski” – plus filters for subject (product photo, event, production …) and people (none, hands only, group).
Newsletter for the Christmas market, reel for restaurants, pictures for a retailer request: the system suggests the matching images and scenes.
This turns into drafts – a picture selection with text, a rough cut for video. I review, trim and approve.
The system spots duplicate files by name and size and describes them only once. New folders are added step by step.
File names and retailer names have been made unrecognisable.
I set up an archive like this on your drive, without moving a single picture, and hand it over to your team. Whether that pays off for you is what we find out on the Test Bench.
On the German pages of this site, “Frag Tobi” (Ask Tobi) sits in the bottom right corner. Click it and you see me on video, pick your topic and get the matching explanation. Prefer typing? Ask freely – an AI assistant answers from a knowledge base that only contains what is true.
Try it yourself on the German pages – “Frag Tobi”, bottom right.
For a manufacturer this means: customers and retailers get answers on products, use and delivery – in the evening and at weekends too, and at the end there is an enquiry. Whether that pays off for you is what we find out on the Test Bench.
I don’t talk about process optimisation. I rebuilt my own manufacturing business with it – and I’ll show you.
My principle: AI does the groundwork. A person checks and decides.
A person sets the topic and the facts, five agents take care of research, search terms, product selection, fact check and brand review, a person approves. Runs on the Apres Allstars blog with more than 300 articles.
● in useSee the functions →
Reads the entire marketing archive automatically: every image gets a description and keywords, every video a summary and transcript. You search by content, and for a newsletter, reel or retailer request it suggests the matching images and scenes. 3,702 media files at Apres Allstars.
● in useSee the functions →
Topic and products in, a draft in several languages and for different customer groups out. I approve, sending runs on my own server or a service such as Brevo. A day of work becomes an hour of checking.
● in useSee the functions →
Visitors see me on video, pick their topic or ask freely. An AI assistant answers from a maintained knowledge base, not from guesswork – and every conversation ends with the next step. Running on the German pages of this site.
● live on this siteSee the functions →Six phases from reseller to a real product brand – with the 16-page roadmap to take away (in German).
“Turning new ideas into action with energy, while playing the whole keyboard of online marketing tools efficiently, is clearly one of Tobi Deckert’s strengths. We have valued the regular exchange for years.”
“Especially in marketing and at trade fairs we were able to put valuable input into practice. A clear recommendation from our side!”
Two days of work, zero risk: you only pay once you know the number – and only if it adds up for you.
First, a 20-minute call: Do you make or sell products? How many people? Which process hurts the most?
Analysis on site
I come to your business and walk through the one process with the people who do it every day. Numbers, routes, exceptions – everything that isn’t in a spreadsheet.
Solution and estimate
I build the solution and do the maths. By the evening you have two pages: what it saves or adds in revenue, in euros – and a clear no if it isn’t worth it.
Installation and handover
The solution goes into your business: integration, data, training your people, documentation. At the fixed price agreed on day 2.
You pay at most one third of what the solution saves or earns you. If that doesn’t add up, you get no offer – just an honest no. The fixed price is set at the end of day 2, before you buy anything.
On day 1 you see my own ERP, my bookkeeping and my shop live – that’s how my business has been running for years.
Three questions, and you know whether the Test Bench makes sense for you. Munich · Rosenheim · Traunstein · Salzburg.
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