We’ve predicted the likelihood of motor purchase preferences of Australian households for specific vehicles (e.g. Audi Q7), manufacturers (e.g. Hyundai), and vehicle types (e.g. Small SUV).
3.5x more effective targeting
We’ve built a series of audience segments that achieve on average 3.5x improved targeting effectiveness, and up to 18x for some specific vehicles. So how do we do it?
We compliantly source automotive transaction data from a data partner that describe the characteristics of actual purchasing households. It covers 50% of cars purchased in the last 5 years.
Our analytics team use that purchase data, combined with our data universe to build propensity models which indicate the most predictive characteristics of purchase behaviour. All 12m households are then scored High, Medium, or Low for each vehicle.
Segments are onboarded into any internal or external environment with zero reliance on cookies. We have relationships and connections with most ad tech platforms, including DMPs, DSPs, publishers, and trading desks.
We’ve built a series of audience segments that achieve on average 3.5x improved targeting effectiveness, and up to 18x for some specific vehicles. So how do we do it?
We compliantly source automotive transaction data from a data partner that describe the characteristics of actual purchasing households. It covers 50% of cars purchased in the last 5 years.
Our analytics team use that purchase data, combined with our data universe to build propensity models which indicate the most predictive characteristics of purchase behaviour. All 12m households are then scored High, Medium, or Low for each vehicle.
Segments are onboarded into any internal or external environment with zero reliance on cookies. We have relationships and connections with most ad tech platforms, including DMPs, DSPs, publishers, and trading desks.