Data-driven platform that identifies ideal hospitality venues for campaigns from 50+ data sources
Client: Major FMCG Corporation
Running national gastronomy campaigns without data is guesswork. The client needed to identify which of Germany's 200,000+ hospitality venues were the best targets for product placement, sampling, and menu partnerships — based on real behavioral and commercial data, not just zip codes.
We developed a venue targeting platform that aggregates data from 50+ sources — including review platforms, delivery apps, social media presence, foot traffic estimates, and menu analysis. Machine learning models score venues on campaign fit, and the platform generates optimized target lists with geographic balancing and segment filtering.
Campaign targeting accuracy improved by 60% compared to traditional methods. The platform now serves as the central planning tool for all German hospitality activations, covering 14,000+ profiled venues with continuously updated intelligence.
