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
120 different categories and subcategories of consumer spending including areas such as Department Stores, Dining Out, Home Improvement, Personal Care, Telco, Travel and Utilities.
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 120 different categories and subcategories of consumer spending.
Insights: Identify areas of likely increased per capita spend on a range of consumer spend categories and brands.
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
120 different categories and subcategories of consumer spending including areas such as Department Stores, Dining Out, Home Improvement, Personal Care, Telco, Travel and Utilities.
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 120 different categories and subcategories of consumer spending.
Insights: Identify areas of likely increased per capita spend on a range of consumer spend categories and brands.
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.