Brand and shopper insights
For over 38 years, Catalina data is used to inform CPG brand media strategies, build precision audiences at scale, and measure the effects of campaigns on brand perfomance. Catalina collects UPC-level data of shopper purchases from over 90M households in real-time via integrations within retailer POS systems (purchase based, transactional shopper basket level data tied to a frequent shopper card). We also enrich our data from other resources to enable us to more deeply understand what drives their purchase decisions and how best to influence them. Catalina delivers faster access to richer data, more effective audiences and reliable sales lift measurement.
Catalina’s UPC-level shopper purchase data comes in real-time directly from integrations into retailer’s POS (purchase based, transactional shopper basket level data tied to a frequent shopper card). We capture 440 Million loyalty cards and over 11B shopping trips annually. A subset of 185M loyalty card level data lives within our identity graph and is available for digital &/or TV activation (targeting) & measurement. This reaches 91M households. In addition, to mitigate any gaps in our retailer and channel coverage, Catalina partners with multiple all-outlet purchase panel companies, including a 2.5M HH white label panel for targeting (11.6 million trips per month outside our network) and Numerator for measurement (static panelists >2 million trips per month), to integrate product purchasing and audience conversion data from brick and mortar and online retailers outside our network (e.g. Walmart, Amazon, etc.). Our data is used to customize audience segments and measurement solutions at the UPC or category (CPG) levels that run across mobile, desktop, social, CTV/OTT and Linear TV.
We also enrich our data from other resources to enable us to more deeply understand what drives their purchase decisions and how best to influence them. These shopper enrichments include the following with more coming:
Past Purchase data + Interest/Behavioral/Demo data layered into data set