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Cross-Device Tracking Essential for Personalized Journeys: Criteo Study

November 8, 2017
It’s unlikely that anyone reading this newsletter needs convincing that tracking customers across channels is important. But if you’re looking for a factoid to support your opinion, how about this: 41% of desktop transactions are preceded by a click on another device. This means attribution that ignores cross-device identities is crazily inaccurate. Data comes from a Criteo analysis of billions of transactions across 5,200 retail businesses. Lots more about mobile, shopping apps, omnichannel, and hot topics.
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American Express Launches Lookalike Targeting Service

November 7, 2017
American Express has launched Amex Advance, a service that builds target marketing audiences by projecting the characteristics of Amex card holders onto similar consumers. It works by matching the Amex card holder list against lists owned by publishers, ad networks and marketing audience providers. All data is anonymized before matching and the matching itself is done by Acxiom, acting as a trusted third party. In case it’s not obvious: the point is give marketers alternatives to the data-rich targeting offered by Google, Facebook, Amazon, and other walled gardens.
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Salesforce Announces Do-It-Yourself AI Tools

November 6, 2017
I’m not sure launching an artificial intelligence-based service counts as news. But Salesforce’s Dreamforce conference kicks off today so I’ll mention that they’ve announced “myEinstein” AI services that let non-developers create predictive models and chatbots. General release is due next summer. I’ll let you decide whether it’s a good idea for thousands (millions?) of Salesforce users to deploy automated systems with little oversight. But I’m certain that Salesforce’s apparent decision to refer to all its users as “Trailblazers” is just plain silly.
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Albert AI Helps Users Understand Its Actions

November 6, 2017
Naïve users might blindly trust an artificial intelligence system, but their more knowledgeable co-workers are often frustrated by AI’s inability to explain its decisions. Albert, an AI-based marketing platform, has addressed this with features that help users understand what the system is up to. It’s a collection of reporting features, not a single explanation of why the system took a particular action. A chatbot to answer that question is definitely one I’d like.
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