Mobility data has become a valuable tool for businesses looking to understand their customers, target new ones and make data-driven decisions. Arcanor leverages this data to create highly accurate segments of the population based on their movements and activities. By analyzing the places people visit and the frequency of those visits, Arcanor is able to determine an individual's interests, preferences and habits.
The process of creating segments starts with collecting mobility data. Arcanor collects this data from various sources such as GPS data from mobile devices. Once this data is collected, it is then processed to create a comprehensive view of each individual's movements.
Arcanor uses machine learning algorithms to identify patterns in this mobility data and then groups individuals into segments based on similar patterns. For example, individuals who frequently visit vegan restaurants may be grouped together as "vegan", while those who frequently visit stadiums may be grouped as "sports followers". This allows Arcanor to create segments that are highly accurate and relevant to the target audience.
Arcanor's segmentation capabilities go beyond just classifying individuals based on their mobility. The platform also uses demographic and other data to create a more complete profile of each individual. This data can then be used to target individuals with relevant advertising, content and offers.
In addition to targeting, Arcanor's segments can also be used to measure the effectiveness of marketing campaigns, understand consumer behavior and trends, and inform product development. The insights provided by Arcanor's segments can help businesses make data-driven decisions that result in improved customer experiences and increased revenue.
In conclusion, Arcanor's segmentation capabilities using mobility data offer businesses a powerful tool to better understand their customers, make informed decisions and drive growth. With Arcanor, businesses can take their data analysis to the next level and gain a competitive advantage in today's data-driven market.