Complete the picture by enriching your internal data with geoTribes Segments
plus hundreds of Modeled Consumer Data Attributes based on survey
research projected using non-personal Synthetic Population Models
for absolute privacy confidence.
Based on underlying needs and motivations.
Using multi-dimensional external data.
By combining internal and external data.
Add context and motivational insights.
Compare to market using multiple dimensions.
Model lookalikes & select external segments.
geoTribes Database Appending achieves higher accuracy than regular geodemographic
systems, because it combines Census Geography with
Dwelling Type
+
Age
+
Gender
to
create over 3M+ unique levels in Australia.
The Synthetic Population Models underpinning geoTribes Consumer Data accurately represent the total household and person populations of each country, with many millions of georeferenced individual synthetic records and deep sociodemographic profiling. They are further enriched with insights from Government Microdata and Market Research Surveys.
Accurate Data Estimates
Small synthetic cohorts enhanced with machine learning models give substantially more accurate estimates than geodemographic schemes.
Precise Matching
Combining detailed postal and census geographies with age and gender allows fine-grained matching of databases with high precision.
Absolute Privacy
Made from cohorts of synthetic people so the data can be used with absolute privacy confidence.
Our geoTribes Cloud Services; Quick Append, Living Insights and Explorer plus our distribution affiliates, deploy our consumer data everywhere it's needed, to support a broad range of use cases.
See how the data varies across Age and Gender for any address in Australia and the USA. For New Zealand, United Kingdom, and Canada, you can see our geoTribes Segment information.
The demo retrieves data from the geoTribes Living Insights API and simulates a data enhancement use case.
