Advertising data privacy hasn't changed in 20 years.

Google’s 2019 Data Privacy Proposal Recycles 2009 Self-Regulatory Agreement

Google’s recently proposed privacy principles are a watered-down version of the 2009 Digital Advertising Alliance’s Self-Regulatory Principles for Online Behavioral Advertising. Google’s proposal underscores how ineffective the DAA and self-regulation of data privacy has been since 2009. More of the same “talk without teeth” is a feeble attempt to head off regulation. The spirit of Google’s “new” proposal focuses on choice, control and transparency. These three tenets are fundamental to what our industry agreed to in 2009 under a self-regulatory framework. There’s nothing new in Google’s proposal. Here are the two most obvious examples: Transparency: 2009 DAA: “…deployment of multiple mechanisms for clearly disclosing and informing consumers about data collection and use practices associated with online behavioral advertising “ 2019 Google: “…users should have ​transparency​. They should be able to easily see and understand how their data is being collected and used...

This Company Built a Private Surveillance Network. We Tracked Someone With It

In a closed Facebook group for private investigators that Motherboard gained access to, multiple posts include people asking for others to run plates for them through their own access to a license plate reader system, though they did not specifically mention DRN. Company executives have previously admitted unauthorized users have gained access to the system. One legal issue with industry use of license plate data is that the Fourth Amendment does not apply to non-government entities-a private investigator, or a repo man, or an insurance company does not need a warrant to search for someone’s movements over years; they just need to pay to access the DRN system, or find someone willing to share or leverage their access, like Motherboard did. Read More:

On Roku and Amazon Fire TV, Channels Are Watching You

On Wednesday, researchers from Princeton University and the University of Chicago detailed the tracking that happens behind the scenes in over 2,000 channels on Roku and Amazon Fire TV streaming devices. They found that 89 percent of Amazon Fire TV channels and 69 percent of Roku channels contained easily spottable trackers that collected information about a viewing habits and preferences, along with unique identifiers like device serial numbers and IDs, Wi-Fi network names, and the Wi-Fi identifiers known as MAC addresses. Read More:

For publishing’s middle class, linear channels have become the gateway to the connected TV market

Linear channels on third-party streaming video services, such as Viacom’s Pluto TV, Xumo and Roku’s Roku Channel, have emerged as starter homes for mid-sized media companies in the still-nascent connected TV market. Because of the challenge in convincing viewers to install and open their own apps, mid-sized media companies are operating 24/7 streaming channels distributed on free, ad-supported TV-like services to establish footholds within connected TV. In the short term, these linear channels can generate revenue for publishers while accruing audiences that publishers can funnel to their owned-and-operated connected TV apps over the long run. Read More:

Product-User Fit Comes Before Product-Market Fit

What if you really just have a sharp understanding of the right product for the right user but still lack a sense of the greater market opportunity of all the right users? What if it remains to be seen if there is a market beyond the 200 people you’ve found who love your product?. The path from product-user fit to product-market fit is all about answering a few core questions: Who really wants this today? How many of those people are out in the wild? What else would it take in the product to turn non-users into users of our solution? What macro story must play out in the market to substantially shock market-wide demand?. Read More: