Billions of transactions. One consolidated view
Build category and brand level predictive audiences based on verified spend behaviour.
Retail data ingredients
Insights are only as good as the quality of the data. Here’s why our retail transaction data asset is so powerful:
400 million bank transactions
2 billion card transactions
Over 500 different product categories (e.g. fashion), sub categories (e.g. middle market) and thousands of brands (e.g. Country Road)
Use cases
The possibilities are endless, but the most common applications for this data asset include:
Segmentation and targeting: We have highly predictive models scoring 16 million Australians on their likelihood to buy from 500 product categories and thousands of brands.
Insights: What are the patterns of consumer spending over time, geography and customer segment? Who buys which products, where do they live and where do they spend?
Commercial property: Identify how the mix and offer of a shopping centre can be optimised based on the needs of shoppers and their overall shopping behaviour.
Retail data ingredients
Insights are only as good as the quality of the data. Here’s why our retail transaction data asset is so powerful:
400 million bank transactions
2 billion card transactions
Over 500 different product categories (e.g. fashion), sub categories (e.g. middle market) and thousands of brands (e.g. Country Road)
Use cases
The possibilities are endless, but the most common applications for this data asset include:
Segmentation and targeting: We have highly predictive models scoring 16 million Australians on their likelihood to buy from 500 product categories and thousands of brands.
Insights: What are the patterns of consumer spending over time, geography and customer segment? Who buys which products, where do they live and where do they spend?
Commercial property: Identify how the mix and offer of a shopping centre can be optimised based on the needs of shoppers and their overall shopping behaviour.
Related products
Consumer Mindsets
Tailor audience targeting and messaging based on consumer mindsets that combine digital and location based behaviours, brand affinities and personal interests.
Consumer Spending
Access audience segments based on highly predictive spending propensities for 500 different categories of consumer spending and specific brands.
Got Questions?
We have all the answers! Well, maybe not all but we’ll do our best to help.
