The WHY counts
Benefit from today's digital possibilities
Customer data and data on past events contain valuable information about individual interests and motivations that led to the attendance of individual events.
Conventional customer databases and ticketing systems can meaningfully evaluate a maximum of 1-2% of this data potential.
Our artificial intelligence decodes 100% of the data potential and thus creates unprecedented knowledge about the purchase intentions and behaviours of potential visitors. This serves as the basis for future marketing decisions.
Make your data work for you.
Devote yourself to strategic and growth-oriented initiatives and let our algorithms take care of the analysis. Future Demand processes billions of data points for each of your events in a matter of seconds. Our models recognize patterns in customer buying behaviour. We see target groups in the form of Taste Clusters: People with a handful of same interests in events.
Taste Cluster
Interest-based targeting is far superior to any conventional approach
A key component of our platform is a unique new way of targeting customers. Our Taste Clusters target people based on real interests rather than socio-demographic characteristics. This is more effective than traditional clustering approaches, since concertgoers and sports fans come from all social classes and age groups.
Our privacy-focused Taste Cluster technology uses the key interests of different customer groups to target them. The technology is GDPR compliant and up to 50% more efficient than any best practice approach that uses individual, personalised data.
Future Demand's platform creates addressable audiences and defines their main interests in a particular event. This could be members of a band, a characteristic of the venue, or the popularity of individual artists. Our platform uses over 200 taste and interest-based features to describe Taste Clusters and calculates them for each of our clients.
Personalization is the key to customer satisfaction
Taste Cluster identify WHY fans are interested in specific concert and events. It drives personalisation and increases conversation rates.
Popular female conductors
- Mirga Gražinytė-Tyla
- Emmanuelle Haïm
Niche french composers
- Théodore Dubois
- Ambroise Thomas
Rising Soloists
- Zofia Neugebauer
- Leia Zhu
Popular english conductors
- Sir Simon Rattle
- Antonio Pappano
With learned patterns, Future Demand's algorithms find your customers of tomorrow
Gaining new customers
Address interested people - regardless of whether they are already customers of yours
Our Taste Clusters are groups of people with the same interests. A Taste Cluster has followers all over the world and thus unites a very large group of people at its core. The limiting factor in events is the catchment area - but never the fact whether someone is already your customer. This fact leads to a remarkable percentage of new customers for our clients - up to 20% - especially at the beginning of a cooperation.
