Increasingly isolated advertising environments of marketing platforms (walled gardens), the growing importance of first-party data, and increasingly protected privacy: these topics dominate the current discourse around data-driven marketing. They also contribute to the fact that it is becoming increasingly difficult for companies to correctly measure and interpret their marketing measures.
To meet this challenge, Webrepublic relies on the latest developments in machine learning: The AI-powered analytics tools created in-house enable automated, cross-platform, independent and scalable data evaluation. "Our self-learning models make it possible to increase the success of campaigns with statistically relevant insights - even when conventional measurement methods reach their limits," says Dorian Kind, Director Data & Technologies at Webrepublic.
The correct interpretation of the high-quality data remains with the marketing specialists at the Zurich agency: "Our motto is: analyzed by AI, interpreted by humans. Instead of perceiving artificial intelligence as competition, we see it as a tool that helps us achieve the best for our clients," says Tobias Zehnder, partner and co-founder of Webrepublic, with conviction.
Webrepublic's tools use state-of-the-art AI technologies in various areas of campaign evaluation and optimization:
- Impact analysis of business decisions or other external influences on campaign performance
- Optimal budget allocation across all channels to achieve the best possible return on investment
- Detailed user profiles, based on analysis of first-party data sources, to achieve personalized targeting across the sales funnel
- Insights into campaign performance and effectiveness using geospatial data