Alexander Senning

Alexander Senning

Alexander Senning


Ich glaube, dass Marken gewinnen, weil Menschen sie wollen, nicht weil sie sie kennen. Begehrlichkeit entsteht nicht aus Reichweite, sondern aus Haltung, Konsequenz und dem Mut, für etwas zu stehen. In über 18 Jahren internationaler Erfahrung habe ich Marken neu aufgestellt, globale Kampagnen geführt und Teams aufgebaut, die eine Marke nicht nur sichtbar machen, sondern begehrenswert.

I believe brands win because people want them, not because people know them. Desire does not come from reach. It comes from having a point of view and the nerve to hold it. In more than 18 years across international markets I have repositioned brands, led global campaigns and built the teams that make a brand not just visible, but wanted.

我相信,品牌之所以胜出,是因为人们想要它,而不是因为人们知道它。渴望并非来自曝光,而是来自鲜明的主张、始终如一的坚持,以及为之承担的勇气。在十八年以上的国际经验中,我重塑过品牌,主导过全球营销战役,也组建过让品牌不只是被看见、而是被渴望的团队。


Alexander Senning

AI in Marketing

  • Brand guidelines for AI: why brand rules now have to be readable by machines

    Brand guidelines for AI only work when brand rules are concrete, testable and readable by machines. What has to change to get there.

  • AI in image production: what it would take over from 6,500 looks today

    AI in image production: what a machine would take over from 6,500 looks today, and where shoot, styling and judgement stay with people.

  • AI in marketing: from experiment to operating system

    AI in marketing often stays stuck in the pilot stage. Why the step from experiment to operating system depends on workflows, not tools.

    AI in marketing: from experiment to operating system
  • AI literacy in the team: judgement instead of prompt tricks

    AI literacy in the team means judgement, not prompt tricks. Why one off trainings fail, what the EU AI Act requires and what it means for a brand.

    AI literacy in the team: judgement instead of prompt tricks
  • AI strategy for the marketing department: work first, then the tool

    An AI strategy for the marketing department describes changed work, not a list of tools. Why processes, leadership, brand rules and measurement come first.

    AI strategy for the marketing department: work first, then the tool
  • AI Overviews and SEO: visibility without a click

    AI Overviews answer questions directly in Google Search. What changes for SEO, why fashion is harder to read and what a brand should do now.

    AI Overviews and SEO: visibility without a click
  • AI agents in marketing: delegation with guardrails

    AI agents in marketing carry out tasks in several steps on their own. Why using them is a question of delegation, and which guardrails a brand needs.

    AI agents in marketing: delegation with guardrails
  • Predictive analytics: a clever forecast is not enough

    Predictive analytics is almost always sold as a look into the coming season. What arrives in practice is smaller and more useful: a probability that lets a decision be made a few days earlier than it otherwise would have been. The difference sounds academic and is not, because it decides whether the project is still…

    Predictive analytics: a clever forecast is not enough
  • Content supply chain: the stark reality

    The term content supply chain sounds like logistics, and that is exactly the point. It describes the path of a piece of content from idea to delivery as a production line, with handovers, waiting time and bottlenecks, the way you would look at procurement. Anyone who has tried to finish forty images, three languages and…

    Content supply chain: the stark reality
  • Answer engine optimization, made simple

    A few months ago I started watching my own website to find out who actually reads it. The answer was uncomfortable. Less and less often a person clicking a search result, more and more often a model that collects the text, summarises it and passes it on. Answer engine optimization is the name the industry…

    Answer engine optimization, made simple
  • Programmatic advertising: the fees are the simple part

    Programmatic advertising is no longer a special route in most companies, it is the normal way media budget leaves the building. That is exactly why nobody asks anymore what is actually being bought. The automation handles the purchase reliably, but it does not decide whether the environment suits the brand. What I took away from…

    Programmatic advertising: the fees are the simple part
  • Marketing automation: a simple look at what pays off

    Marketing automation is sold on time saved, and that is exactly where the misunderstanding starts. The flows I have built or inherited rarely saved work. They moved it, away from sending and towards maintaining. Knowing that in advance changes how you plan and leaves you less disappointed. The value is still there. It just sits…

    Marketing automation: a simple look at what pays off
  • Customer data platform: the simple way to choose one

    A customer data platform usually gets bought before anyone has agreed on the problem it should solve. That is the pattern I have taken away from every selection process I have been part of. The opening question is almost always which tool to pick. The question that should replace it sounds different: which decision can…

    Customer data platform: the simple way to choose one
  • The creative brief in the age of AI

    The creative brief has grown thinner in most companies over the years, and with generative tools that thinness takes its revenge immediately. Someone who briefed vaguely used to get one mediocre idea back. Today they get thirty, all plausible, and none of them decidable. That has changed my view of this single document more than…

    The creative brief in the age of AI
  • Visibility in language models: five levers

    Visibility in language models is the first question about reach in a long time that nobody in marketing has a practised answer for. The mechanics are new, the measurement is thin, and decisions are being made anyway. I think that makes it the right moment to build a position, before the agencies turn it into…

    Visibility in language models: five levers
  • AI image generation in fashion: where it carries and where it does not

    AI image generation moved from novelty to budget item in fashion faster than almost anything else I have worked with. The conversation about it is almost always a conversation about cost, which is understandable and still beside the point. Treat the technology as a saving and you get pictures that are cheaper and carry less.…

    AI image generation in fashion: where it carries and where it does not