We’ve developed the geoTribes consumer intelligence platform to support customer insights managers, market researchers and retail planners with quality, secure solutions for retail network optimization, geomedia planning and data enhancement.
We’ve developed the geoTribes consumer intelligence platform to support customer insights managers, market researchers and retail planners with quality, secure solutions for retail
network optimization, geomedia planning and data enhancement.
Our retail network optimization solutions are based on the analytical power, embedded market data and ease of use of the geoTribes Explorer. Users can upload their current locations, competitors and potential new opportunities to access the Explorers inbuilt analytical functions. These include drive times, custom trade areas, gravity modelling, lookalike search, analogue forecasting, target segment coverage, network opportunity ranking and cannibalization.
We also create customised planning solutions by using proprietary machine learning algorithms to transform customer loyalty and transactions data into estimates of accessible demand for use in headroom, market gap and performance benchmarking analyses.
The Explorer is hosted in AWS, incorporates Google Maps and Places and supports team collaboration. Because the Explorer has a wealth of embedded data and inbuilt analytical functions, customised solutions can be delivered in a surprisingly short time frame.
All our retail network optimization solutions are backed by training and support from the RDA Technical Team. This means that you and your team can be solving challenging problems and achieving expert results with point-and-click ease in no time at all.
APPLICATIONS
Modelling accessible demand for a retail brand
Estimating cannibalization among existing retail locations
Identifying performance gaps within an existing network
Ranking new locations by incremental sales potential
Profiling the impact of new locations on an existing network
Estimating trade transfer for store closures
Our geomedia planning solutions are based on the analytical power, comprehensive audience data and ease of use of the geoTribes Explorer. The most powerful point-and-click geomedia planning solution available in the market today.
The bundled Audience Finder tool builds and locates custom audiences using a combination of sociodemographic, behavioural, household demand, health, attitudinal and lifestyle measures from RDA and GeoCMV, developed jointly with Nielsen Media.
In a few keystrokes, users can design audiences, choose a geographic area, analyse reach, make proximity selections, map hotspots and produce targeting lists for geospatial channels like OOH, Letterbox, OTT and community news.
All our geomedia planning solutions are backed by training and support from the RDA Technical Team, so you and your team can achieve expert results with point-and-click ease in no time at all.
APPLICATIONS
Profiling coverage footprints
Targeting for letterbox marketing campaigns
OOH media selection
Local area messaging
OTT targeting
Community news profiling and selection
Optimizing retail distribution
geoTribes segments provide consistent, needs-based targeting across Australia, New Zealand, Canada, Great Britain and USA.
find your segment nowAdd rich new dimensions to your CRM and Survey Research databases with geoTribes segmentation and market data. Drive deeper insights using machine learning and visualization tools on your customer and respondent databases. Build a deeper level of customer understanding in terms of underlying needs, household wallet size, health, media consumption, attitudes, interests and intent.
Data enhancement is served through RDA’s secure tagging portals or as data tables embedded in client systems. The enhancement data its modelled using our proprietary geoFusion process from offline data sources like government microdata, census and market research surveys and appended using sophisticated probability algorithms. No PII is used in construction or scoring of the data.
APPLICATIONS
Customer profiling
Machine learning
Data visualization
Behavioural attribution
Performance benchmarking
Market research integration
Media planning
Audience targeting