Nexoya: Five trends for performance marketing in 2025
Nexoya explored how AI will transform performance marketing by 2025—from smart content creation to data-protection-compliant campaigns.

The year 2025 will be a year of transformation for performance marketing. The return of consumer enthusiasm—coupled with growing price sensitivity—calls for maximum efficiency in advertising campaigns. Nexoya, a specialist in AI-powered marketing analytics, sees artificial intelligence as a key driver in this regard. From personalized content to cross-channel campaigns to budget optimization, AI is demonstrating its potential as a strategic co-pilot.

Roger Gatti, Head of Product at Nexoya, explains: «AI is no longer just a tool—it’s a way of thinking. Those who integrate it benefit from more precise results and more efficient processes.»
The Five Key Trends According to Nexoya
1. Content Creation Using Generative AI
Generative AI has long since become part of marketing practice. Companies use it to create text, images, and videos quickly and efficiently. The technology’s strengths are particularly evident in video marketing: platforms such as Instagram Reels, YouTube Shorts, and TikTok are benefiting from clips that look increasingly professional.
But as these tools become more widely available, it’s getting harder to stand out from the competition. Roger Gatti, Head of Product at Nexoya, emphasizes: «Marketing teams must focus on quality and authenticity to get noticed amid the flood of generated content. Content with a personal touch that meets the needs of the target audience is crucial.»
2. AI as a Strategic Co-Pilot
Artificial intelligence is increasingly taking on strategic roles in performance marketing. With cross-channel campaign structures, AI enables the simulation of scenarios and helps compare different business cases. Nexoya relies on a combination of scenario simulation and AI-powered budget optimization.
This enables marketers to find precise answers to key questions: How much budget is needed to achieve a specific ROAS? How do changes in advertising spend affect marketing goals? These data-driven insights not only facilitate planning but also improve operational efficiency. In addition, marketing mix modeling (MMM) is gaining importance when combined with AI. This methodology analyzes the impact of advertising measures at a meta-level, but only realizes its full value when combined with experiments and cross-channel insights.
3. AI Optimization as the New SEO
The way people search for information is changing. Conversational AI tools like ChatGPT and visual platforms like TikTok and Instagram are emerging alongside traditional search engines. For businesses, this means optimizing their content not only for SEO but also for AI-based search systems.
Visual and voice-activated search is playing an increasingly important role in this context. Brands that respond to these developments early on can secure a competitive advantage. Roger Gatti adds: «Social media platforms are increasingly becoming search engines for consumers. Companies should strengthen their presence on these channels to reach new customers.»
4. Data Protection and the AI Act
The EU AI Act poses major challenges for companies: transparency and the use of applications that comply with data protection regulations are mandatory. Small and medium-sized enterprises, in particular, must adapt their data strategies.
Nexoya recommends focusing on first-party data. Not only is this data compliant with the law, but it also allows for better control over data quality. At the same time, the use of third-party cookies is becoming increasingly difficult due to more restrictive browser settings and new data protection laws.
5. Sustainability Through Efficiency
AI not only improves performance but also contributes to sustainable marketing approaches. More precise targeting and reduced wastage minimize resource consumption and costs. This allows brands to operate more efficiently while implementing more environmentally friendly strategies.
The trends show that artificial intelligence is the key to more efficient, personalized, and data-driven campaigns. Companies that adapt to this development early on secure a decisive competitive advantage.
Nexoya Ltd., headquartered in Zurich and Berlin, has been offering data protection-compliant and user-friendly marketing analytics for medium-sized and large companies since 2018. The SaaS platform „nexoya Marketing Analytics“ uses machine learning to optimize multi-channel marketing campaigns, aggregates data from channels such as Google Ads, Meta, and LinkedIn, visualizes this data, and optimizes campaign budgets using predictive analytics. Nexoya facilitates data-driven decision-making, reduces marketing costs by up to 30 %, and stores only non-personalized data in certified Swiss data centers. Its clients include Yuh, Generali, Swisscom, ZKB, Magix Software, Yello Strom, and bike-components.
