Synthetic Marketing: Optimized by Algorithms, for Algorithms
Modeling target groups, creating AI content on the fly, simulating clicks: Marketing today is increasingly based on probabilities. But if the entire funnel is generated by algorithms, how can you tell if your strategy is having a real impact?
From synthetic content to synthetic audiences: The whole marketing funnel is going synthetic
The triumph of artificial intelligence in marketing has radically transformed the industry. We’re not just using intelligent tools for classic data analysis or marketing automation anymore. Now we’re deploying them to create completely new simulated realities.
This trend is based on three pillars that overturn the conventional understanding of measurability:
Synthetic audiences
Why put the effort into manual target group analysis when a large language model (LLM) can simulate your target group? Digital twins of your customers enable you to test campaigns on artificial personas before they go live.
Synthetic content
From text and images to videos and voices, AI-generated content is infinitely scalable – and hyper-personalizable.
Synthetic traffic
Not every click in your web analytics is made by a real person today. AI agents and web crawlers trawl the Internet and index content. This automated traffic skews conventional metrics.
Where does this leave us? Suddenly, algorithms are optimizing for algorithms. The conventional causal chain – we send a message, a person responds to it, and we measure the interaction – is becoming blurred. Marketing is going from being a system of observation to a system of simulation.
What does synthetic marketing mean for your strategic decision-making?
For a long time, digital data gave you certainty. Performance marketing meant assigning every click to a person. But with the rise of synthetic marketing, this foundation is beginning to crumble. AI agents, automated bots, and simulated target group models are producing an ever-growing number of interactions. When your dashboards merely display probabilities, the reliability of your analyses is increasingly questionable.
What still counts as real today? To avoid getting lost in modeled realities, you need a ground truth – verifiable touchpoints with real people:
- First-party data and zero-party data: A direct login, a conscious purchase, or voluntary responses to surveys are emerging as the most valuable data points. The more synthetic traffic floods the web, the more important it is to have your own customer data.
- Real business numbers over superficial metrics: Bots can simulate clicks. They create traffic, but they don’t buy anything – or send anything back. This means your success will be measured by actual purchases, not page views.
- Closed spaces: Communities, newsletters, events, or password-protected platforms will be your brand’s new reality check. The more synthetic the open web becomes, the more valuable direct relationships with real people are.
Synthetic advertising: Why trust is the most important currency in marketing
How can you evaluate a campaign’s success if the content and the target groups have been simulated by AI?
By focusing less on efficiency and performance marketing and investing in trust instead.
After all, now that content, target groups, and interactions can be artificially generated, trust is often the only real differentiator for a brand.
However, trust isn’t built through simulations but with transparency. Brands that openly communicate where and how they are using AI will foster more credibility in the long term than those that create an artificial sense of proximity.
Synthetic marketing vs. loyalty: the two new spheres of marketing
Going forward, your marketing will operate in two separate spheres:
- The synthetic funnel:
Here it’s about scaling and efficiency. You use synthetic audiences and AI-generated content to test messages, minimize ad waste, and algorithmically optimize the conversion journey. This is a world of models, simulations, and probabilities. - Genuine brand loyalty:
This is where you build something that can’t be simulated: Attitude, creativity, and real relationships. Brand loyalty grows through empathy, offbeat ideas, physical experiences – and even sometimes through human error.
Synthetic marketing: the new balancing act between models and people
Synthetic audiences, generated content, and traffic simulations are powerful levers for your marketing strategy. Overlooking them would be a mistake.
But they are merely simulations of reality, not the real thing.
To make strategic decisions in the new world of synthetic marketing, you’ll need to learn to distinguish between two distinct spheres: Algorithms provide efficiency and probabilities. But trust is built only when brands break away from the algorithms and demonstrate why they are truly relevant.
Ultimately, marketing will not come down to how well we train our algorithms – but to how many people still believe in our brands.
