Targeting on demographics and location both raise privacy concerns, at least for some people. InfoSum has just launched a privacy-safe planning tool that lets marketers match their own data against media audiences without exposing personal identities. Everybody wins: marketers can find which audiences best fit their needs; publishers can sell more advertising; and consumers run less risk of having personal data exposed.
Hi folks, it’s Jamie, Senior Intern at the CDP Institute’s Department of the Obvious. I didn’t understand the boss’s message asking me to write today’s newsletter – something about a moose – but I’m always happy to help. Let’s start with a salute to my counterparts at Twilio, who found that 94% of consumers are sometimes annoyed by marketing communications. That’s world-class obviousness. There was less obvious stuff about preferred channels and such, but I ignored it.
How accurate is that third party data you’re so worried about losing? This study by several academics applied three tests to data accuracy and found profiles more accurate than random guesses, but not by much – and probably not enough to compensate for the higher ad costs charged for such data.
Media mix models (MMM), originally developed in the 1960’s, have undergone a resurgence as new technologies make them easier to execute and click-based attribution becomes less credible. But evaluating MMM brings its own challenges. Australia-based Mutinex offers a vendor-neutral Open Source MMM Validation Framework which is now available for free to North American marketers and agencies.