PSYTE™ Geodemographic Segmentation
PSYTE™ geodemographic segmentation data products provide users with an easy-to-understand classification of neighborhoods based on the shared socioeconomic and lifestyle characteristics of neighborhood residents, such as age, income, and education.
These datasets enable users to better understand their customers, discover new target markets primarily populated by people that share specific characteristics, and personalize outreach and offerings with a rich understanding of the population in an area.
PSYTE™ geodemographic data products streamline previously complex analyses with intuitive neighborhood segmentation based on hundreds of variables and simple labels, like “Metropolitan Young Elite,” that convey the predominant demographic attributes of residents at a glance.
Businesses across industries can leverage this powerful, easy-to-use data to tackle their most pressing challenges, including:
- Customer Insights
- Location Planning
- Investment Analytics
- Logistics and Delivery Planning
- Emergency Planning
Precisely currently offers four PSYTE™ geodemographic data products:
- PSYTE™ US geodemographic data
- PSYTE™ Canada geodemographic data
- PSYTE™ UK geodemographic data
- PSYTE™ Australia geodemographic data
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Benefits
- Deepen existing customer relationships and gain new, ideal customers by providing targeted services and products that are relevant and timely.
- Save time and money by more efficiently leveraging your resources with deep customer insights that enable you to easily reach the right audiences and enhance engagement.
- Drive growth and increase revenue with more accurate decision-making, powered by a deeper level of context about the areas and demographics that are key for your business.
Details
PSYTE™ geodemographic data products segment populations into lifestyle groups and distinct neighborhood type clusters, enabling users to easily harness comprehensive geodemographic data for the US, Canada, the UK, and Australia.
Several datasets also provide drill-down variables to further categorize populations across demographic and socio-economic themes. This provides users with the ability to easily tailor analyses with more granular information.
PSYTE™ US geodemographic data
- 12 lifestyle groups
- 63 neighborhood types
- 7 drill-down variables
- Variables provide insights on properties, life stage, and income
PSYTE™ Canada geodemographic data
- 9 lifestyle groups
- 48 neighborhood types
- 6 drill-down variables
- Variables provide insights on household income, official spoken language, and properties
PSYTE™ UK geodemographic data
- 10 lifestyle groups
- 40 neighborhood types
PSYTE™ Australia geodemographic data
- 10 lifestyle groups
- 40 neighborhood types
- 1 drill-down variable
- Variable provides details on urban/rural location classification
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