Would People Watch More TV If They Could Find Their Remotes?

For a broader picture of consumer behavior, we have a study from market research firm PQ Media, which found total media usage has reached seven hours per day worldwide and ten hours per day in the U.S. Mobile media are growing fastest while desktop usage is declining. But live TV still takes up more time than anything else.

TV consumption might be still higher if people didn’t spend so much time looking for lost remotes.  They’re the single most-commonly misplaced item, according to a study from tagging tech vendor Pixie. Phones, car keys, glasses, shoes(!), and wallets/purses come next. Millennials are twice as likely as Baby Boomers to lose things. It’s a surprisingly interesting study, although it probably won’t help your marketing.

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Adfresco Boasts Human-Powered Ad Marketplace

May 8, 2017

Adtech vendors keep trying to profit from industry turmoil. Ad inventory marketplace Adfresco is a good example: trading on concerns about fully-automated ad buying, they now position their service as “bringing the human aspect back to automated buying and selling”. In concrete terms, this means that publishers can post inventory options online with a link to an account executive or sales team that must be contacted to make an actual purchase. Charmingly retro. I wonder if they offer drone-based martini delivery.

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Heap Raises $27 Million to Simplify People-Based Web Analytics

May 4, 2017

And still more about people-based marketing: Heap has technology that captures Web site behaviors without setting up tracking for each event individually. As the company puts it, they “automate away the annoying parts of analytics” so people can focus on the fun stuff. Behaviors can be tied to individuals, which isn’t always the case with Web analytics. The company just raised $27 million, for total funding of $40.2 million.

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Meta Releases Lying, Offensive AI and Pretends to Be Surprised

November 23, 2022

Like trouble, bad behavior by Meta shows up whether you look for it or not.  The latest is an open-source language model that was supposed to provide reliable search results because it was trained on academic papers.  Alas, it was quickly withdrawn after reviewers found that it returned results that were grammatical and plausible but also incorrect, not to mention filled with “antisemitism, homophobia, and misogyny.”  How can this be a surprise?

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