Further refine targeting with traditional demographics
They might be old school, but demographics remain a useful input to our models and audience refinement.
Demographic data ingredients
Insights are only as good as the quality of the data. Here’s why our demographic data asset is so powerful:
16 million adults residing at 8 million addresses in Australia
Sourced from privacy compliant data partners
Stated demographics cover 45% of the population, with the remainder being modelled
Includes gender and age, income, address characteristics such as where they live, income, high net worth indicators and marital status
Use cases
The possibilities are endless, but the most common applications for this data asset include:
Further refine: purchase and attitude-based audiences with simple demographics based on the profile of your ideal customer (e.g. an insurance company wanting to avoid male drivers under 25).
Extend: your prospect pool by modelling the ideal customer characteristics in your database and identifying them in our data universe.
Demographic data ingredients
Insights are only as good as the quality of the data. Here’s why our demographic data asset is so powerful:
16 million adults residing at 8 million addresses in Australia
Sourced from privacy compliant data partners
Stated demographics cover 45% of the population, with the remainder being modelled
Includes gender and age, income, address characteristics such as where they live, income, high net worth indicators and marital status
Use cases
The possibilities are endless, but the most common applications for this data asset include:
Further refine: purchase and attitude-based audiences with simple demographics based on the profile of your ideal customer (e.g. an insurance company wanting to avoid male drivers under 25).
Extend: your prospect pool by modelling the ideal customer characteristics in your database and identifying them in our data universe.
Got Questions?
We have all the answers! Well, maybe not all but we’ll do our best to help.
