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Verizon Media and Catalina Share Data for Online-Offline Campaign Reporting

April 5, 2021
In other non-avian tracking news, Verizon Media has partnered with Catalina to combine Catalina’s retail purchase data on 236 million individuals with Verizon’s information about the online activities of the 900 million-ish people in its global ID graph.  The company announcement says the combined data will be used to measure campaign performance.  There’s no mention of using it to target ads at individuals.
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SWAN Offers Open Source Cookie Alternative

April 5, 2021
The horrifying plague of bird-themed advertising ID solutions has expanded with SWAN, a proposal for an open-source network that lets consumers consent to being tracked, drops a first party cookie with a unique ID, and then applies that consent and the cookie across many participating Web sites. The concept has backing from adtech companies including Zeta Global, 51Degrees, Open X, ENGINE Media Exchange (EMX), PubMatic, Rich Audience and Sirdata. I’d like it better if SWAN didn’t also offer SWIFT and OWID.
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80% of Companies Run Multi-Channel Campaigns But Just 10% Personalize in Real Time: Braze Report

April 2, 2021
Braze has released a Customer Engagement Index that measures brands’ sophistication across twelve competencies. One intriguing gap: while 80% of companies execute campaigns across multiple channels and 54% say they do this in a single system, just 10% personalize their communications in real time. On the other hand, 57% of companies in this Reflektion survey said they react in real time to customer behavior on their Web site.
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Marketing AI Deployment Is Still Limited But Users Have Hope: Marketing AI Institute

March 31, 2021
Switching gears: the Marketing AI Institute (no relation) reports that AI is still an aspiration for most companies: just 17% of marketers said it’s deployed widely at their company, although 80% think more than a quarter of their tasks will be automated five years from now.  Lack of training was by far the most common barrier (70%); poor technology and data were far down the list at 35% and 31%, respectively.
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