We’ve developed the geoTribes consumer intelligence platform to turn market research findings and government microdata into implementable solutions for media targeting, retail network planning and customer engagement.
RDA produces its segmentation and market demand data by linking consumer research and Government microdata to its synthetic population files. These replicate the whole population for each census area (eg SA1, Block Group or Output Area) in terms of anonymized Households and Persons which are tagged with RDA’s geoTribes & geoSmart segments and a comprehensive range of market data variables.
APPLICATIONS
Strategic planning
Understanding consumer behaviour
Audience targeting
Measuring campaign effectiveness
Regional profiling
Customer and survey database enrichment
Identifying ‘at risk’ customer groups and revenue streams
Identifying preferences and intentions through Nielsen’s CMV and TRW’s emma surveys
Create your own audiences using any combination of person & household demographics, geodemographic segments, household spend, behaviour, media consumption and psychology.
more about geoTribes Audience Finder
Create compelling geospatial analyses using the geoTribes Explorer’s inbuilt geoanalytics features and extensive consumer profiling data. Build custom audiences and upload retail networks & behavioural data.
APPLICATIONS
Demand estimation
Performance benchmarking
Regional profiling
Retail location planning
OOH campaign targeting
Local area marketing
geoTribes segments provide consistent, needs-based targeting across Australia, New Zealand, Canada, Great Britain and USA.
find your segment now
Add rich new dimensions to your First Party Data with geoTribes segmentation and market data. Change your emphasis from finding people to deeply understanding them with dimensions modelled from privacy-safe offline data sources like government microdata, census and market research surveys. Access is provided via our secure tagging portal or as data tables embedded in client systems.
APPLICATIONS
Customer profiling
Machine learning
Data visualization
Behavioural attribution
Performance benchmarking
Market research integration
Media Planning
