Behavioral Customer Segmentation - Sample

Dataplace.ai helps businesses understand where their customers are in the offline world. Whether it’s about mapping customers’ journey, defining location for a new store, targeting the right customers with marketing efforts and driving offline to online communication or identifying points of sale with the highest sales potential – we make everyday business decisions in the offline world easier.

Our data, products and services help business to better understand the power of ‘where’. Thanks to our technology and data science we’re able to build precise prediction models, extrapolate raw mobile location data into actual traffic insights with over 90% accuracy and provide complex traffic analysis at any location level – from a zip code level, through a geo-hash, to a particular address. With that know-how we translate initial customer profile into behavioral triggers and build personalized customer segments in the offline word.

Sample Tables:
- Customer segment: heavy buyers in discount stores
- Customer segment: fashion buyers
- Customer segment: physically active

Fields included:
- Type of spatial unit geohash6
- Popularity of a given location within the select segment - in %
- Frequency of visits of the given segment in a given location within the select segment - in %
- Presence of a given segment in the select location - in %