Behavioral Customer Segmentation

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: vegans/vegetarians
- Customer segment: fashion buyers
- Customer segment: young students
- Customer segment: active physically
- Customer segment: office workers
- Customer segment: heavy shoppers in food discounts

Fields included:
- number of people from a select customer segment in a selected location
- presence of a selected segment in the selected area - % of total traffic in selected location
- popularity of a given location within the select segment - in %
- average frequency of visits of a select location by the select segment, per month.
- areas with overrepresentation of a select segment - ranking

搜集汇总

背景与挑战

背景概述

该数据集提供基于地理位置的行为客户细分分析，包含素食者、时尚买家等典型客群在特定区域的到访频率、占比等指标，支持企业通过90%精度的移动定位数据实现线下商业决策。