Facebook finally rolled out the ‘Clear History’ feature, now known as the ‘Off-Facebook Activity Tool.’ This tool will show users a summary of the apps and websites that have shared their user data with Facebook and gives users the opportunity to control what information, if any, is shared with these websites. According to Facebook, the company “won’t know which websites you visited or what you did there, and won’t use any of the data you disconnect to target ads to you on Facebook, Instagram, or Messenger.”
As advertisers, it’s important for us to understand how to prepare for the impact and to keep these updates top of mind as we move further into the second half of the year.
How do Facebook’s problems affect the rest of us? Good question. At Clever Real Estate, our effectiveness as a real estate technology company depends on our ability to connect with customers online, so we surveyed 1,139 Americans about their feelings regarding online advertising and the internet at large. Some of our findings might surprise you.
Identification is the key to relevant, timely, and cohesive cross-channel marketing that increases sales and builds brand loyalty. Do it right, and you’ll achieve the kind of truly personalized marketing of which our predecessors could only dream. Here are the major tenets of a successful, privacy-aware strategy for storing data on consumers in a multichannel landscape.
What’s at stake in the Facebook housing discrimination probe and related investigations into Google and Twitter is whether the dissemination of online content—the news, product recommendations, advertising campaigns of all kinds, and entertainment—can and should be permitted on the basis of data collected on users’ personal characteristics and past behaviors. Should organizations, in industries as varied as entertainment, apparel, tech, and education, be permitted to use evolving technology to predict whom ads should target and thus who should see the content promoting Berkeley’s MBA program, the new housing development in Long Island City, or the hip sunglasses Warby Parker will never get me to buy? How does past human behavior and long-term inequality in various groups’ access to privileged resources shape ad targeting and the technology that automates it, and can the tech industry reach beyond those limitations to open up new futures instead of capitalizing on and reinforcing historical distinctions?
The news this week of the Trump administration’s first charges filed against a major tech company is the first step on our path to finding out.
The lawsuit is big news not just for Facebook or for housing-related ads but for the digital advertising industry as a whole. That’s because it marks the first major federal attempt to use the resources of the law to curb ad targeting on the basis of racial discrimination. As interest in regulating broad tech spreads across the country and political spectrum, the lawsuit could prove a harbinger of harsher laws to come.
It’s critical for marketers to invest in the right tools and technologies to abide by data-acquisition best practices that are not only compliant with regulations but also ensure consumer trust. At Blis, we conducted a study that digs into what extent consumers are starting to see their own behaviors, and predilections, as a currency. What we found is that marketers have a prime opportunity this year to rebuild trust and transparency with consumers.
For now, I propose two major concerns—two challenges, even, for further thought—surrounding AI for the ad tech industry. The first is that the datafication of human experience that has allowed for precise ad targeting needs to be radically reconsidered, not just in terms of what can be done to obtain the consent of consumers for data collection, as the rising privacy movement has called tech companies to consider, but also in terms of what is lost and what is truly gained when the attributes of real people are transformed into consumer data. The second is that the human-machine hybrid decision-making model, while surely the best available in a hypothetical set that also includes human-only and machine-only models, will have to grapple with the bias and poor decisions of the humans who program the machines that will take on the task of regulating large platforms at scale.
The company’s data store is only two years old, but it hosts more than 100,000 segments with content from 120 data providers. The term “identity resolution” refers to how LiveRamp matches user data points such as ages, genders, locations, incomes, marital statuses, and other information to get a detailed consumer picture.
It’s never too early to be intentional about establishing and promoting the key values you want your team to emulate, says Liftoff’s CEO Mark Ellis. It provides a set of criteria against which to assess candidates from a cultural fit perspective, as well as a rationale for promoting certain employee behaviors and discouraging others.
A new industry-sponsored study of mobile advertisers and agencies offers guidance for hyperlocal marketing providers. Big brands and their agencies are increasing their mobile marketing efforts, with a keen focus on location data and social media integration. The Mobile Marketing Association recently released a report sketching out the key findings from a survey it conducted this […]
“What happens a lot of times in corporations is you find that decisions are made that can’t be questioned,” says CEO Shekar Ramen. “We don’t have any of that and we want to maintain the flat nature of our company as much as possible.”
The type of word-of-mouth marketing that once took place inside coffee shops and around water coolers has moved online, as “brand influencers” — social media users with a significant reach — play an increasingly important role for companies of all sizes. Here are six tools that companies can use to identify and target “look-alike” consumers…
Hyperlocal news publishers that depend on a targeted advertising may find some comfort this week after a Federal Court in San Jose, Calif., threw out a series of class action claims against Facebook relating to its advertising practices.