Best known as a provider of retail marketing intelligence based around loyalty cards and in-store printed coupons, Catalina this week released its first attribution service.
Called Catalina Multi-touch AttributR, it traces a path from digital advertising — in various channels on various devices — to a purchase made in a store with a loyalty card. The company is able to track purchases down to the UPC bar code level.
At the level of the Diet Coke flavor. Coca-Cola, for instance, can now track how a web site ad shown on a computer affects the purchase of a Diet Coke, as well as whether the flavor chosen is Twisted Mango versus Ginger Lime. Additionally, the attribution service can report if it’s the first time this consumer bought Twisted Mango.
Previously, Catalina measured how its printed in-store coupons affected buyer behavior, but it didn’t track the impact of ads. The new attribution solution is the company’s first effort to link digital ads to buyer behavior, and it plans to add addressable TV ads to the system.
Catalina tags the digital ad with its own attribution pixel, which is called when the ad is shown and provides data on the specific campaign deployments.
But the connection between the ads shown, the various devices used by a single individual, and the in-store purchases are actually made by consumer data firm Experian on Catalina’s behalf, through such persistent identifiers as phone numbers or email addresses.
“Not in the business of knowing who you are.” In the new attribution service, the retailer sends the loyalty card ID to Experian, which matches it with the digital cross-device profile of a given individual and with the ads shown to the user on those devices. Experiam then returns a report to Catalina that uses an anonymized ID.
Catalina CMO Marta Cyhan told me the company deals only with anonymized IDs because “we’re not in the business of knowing who you are,” although Experian does have PII.
The data is updated daily to a self-service dashboard for brands (see below) and, since Experian tracks profiles, the attribution can also include the effect of ads on repeat purchases, new buyers of a product category and other consumer behaviors.
Difference from NCS. Catalina, which filed for bankruptcy protection last month, is also known as a partner in Nielsen Catalina Solutions (NCS), which employs data from the in-store coupons and loyalty cards. But, Cyhan said, Catalina’s new attribution measures individuals across multiple channels deterministically, since the actual people are known through the Experian matching, while NCS is focused on measuring single channels through probabilistic modeled data.
Additionally, she said, Catalina’s new solution is updated daily, includes buyer behavior changes and provides granularity down to the UPC level, while NCS provides post-campaign reports on overall sales lifts.
Why you should care. Catalina’s shopper data is used widely by marketers, and this first attribution service will help brands determine the impact of their paid media spend.
Additionally, Catalina is providing a very fine level of granularity, down to the individual product bar code, with a very high level of certainty. This approach could provide the kind of accurate, return-on-spending results that major consumer brands have clamored for.
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