News and Analysis
Marketers Struggle to Balance Personalization and Privacy
While consumers are increasingly coming to expect personalization in their inboxes, too much personalization can damage trust and steer customers away. Nobody wants to feel like they’re being watched, but recent surveys show consumers are also growing increasingly frustrated with marketing materials that aren’t targeted enough.
Oomiji Helps Brands “Build Their Own Walled Gardens” of Customer Data
Zero-party data, or information customers willingly provide about themselves, is gaining popularity as a way of amassing customer data at a time when privacy restrictions are making that more difficult. The platform Oomiji is betting on that trend, differentiating itself from other CDPs by helping its clients ask their customers for data (instead of relying on AI to extrapolate limited data to probabilistic segments and preferences).
Commentary
Why Your Location-Based Ad Campaign Isn’t Working (And How to Make It Better)
Many low-accuracy solutions produce horizontal location data only – location in multi-story buildings is not even a possibility. The result is that advertisers are designing campaigns with the equivalent of one hand tied behind their back, generating two-dimensional campaigns for a three-dimensional world.
What advertisers really need is the ability to reach consumers wherever they are, including the floor level in a multi-story mall, and entice them to enter the store. To achieve this, high-accuracy 3D location is needed. Fortunately, new capabilities are in place to help retailers design more effective campaigns, which will drive better results and raise consumers’ expectations to new heights (pun intended!).
The Ghost in the Machine: Google Gamifies Machine Learning
David Mihm to Mike Blumenthal: As for our Halloween topic, a spooky good SEO, Scott Hendison, tweeted a link over the weekend that I found fascinating: https://crowdsource.google.com. Even for those of us who are used to these kinds of initiatives coming from Google, it’s the most brazen public effort we’ve seen to train their machine learning algorithm via user contributions across a whole range of data types.
Mike: It is certainly brazen. There is NO attempt to bury this as an activity within some other program like their Captcha. It’s a gamification of their ML plain and simple, and if I know Google, the reward will be either insignificant or worse: a discount on some “premium product” (i.e., an ad).
The Road Ahead: What Autonomous Cars Teach Us About Marketing Automation