As we straddle the precipice of a new year and a new decade, the next milestone in privacy legislation looms: the California Consumer Privacy Act. As California’s version of GDPR, it is the first major US privacy legislation. It will set a precedent and kick-start a domino effect for other states and may even lead to federal data privacy moves.
“Pursuing privacy” will be Street Fight’s editorial focus for the month of January. You may have noticed our monthly themes: December focused on the connected consumer, November’s focused on holiday shopping, October on local commerce verticals, and September on mapping (more on those in a bit).
Brands like Lululemon and Restoration Hardware have strong, headline-making loyalty programs with annual fees upwards of $100. But thousands of brands also have free, points-based loyalty programs — can the two coexist in a single brand?
The short answer: Yes. With shoppers’ desire for richer experiences and more valuable rewards and retailers’ need to gather data to support these desires, a blend of both premium and free loyalty is an advantageous route.
The devices around us are getting smarter. From the consumer’s perspective, that means refrigerators are sending notifications when the milk is running low, and thermostats are turning down the temperature when there’s no movement in the house. Businesses are relying on the data generated by connected devices to improve algorithms and make their existing products even smarter, but collecting and managing large volumes of data is creating a new set of challenges.
Globally, the IoT market is expected to reach $212 billion by the end of this year. With the worldwide number of IoT-connected devices projected to top 43 billion by 2023, the challenges associated with managing large amounts of data in real-time are growing at a rapid pace.
Data-driven marketing investments are growing rapidly. In the US, data spend grew almost $3 billion in the last year. Not surprisingly, the number of data-related challenges has increased as well. 2019 saw privacy regulations usher in broad changes across the ecosystem, causing widespread concerns around the future of data-driven targeting.
Ahead of the new year, we identified three key trends to look out for. These trends — as well as some proactive steps companies can take today — will set up data partners for success in 2020 and beyond.
Personalization and privacy seem inherently at odds. After all, media companies such as Facebook act like vacuum hoses for data – collecting much more than they need. That’s problematic in a world where data breaches dominate headlines nearly every week. However, where Facebook and others go low, mobile carriers can go high. In fact, mobile carriers that aim to be media companies have a huge opportunity to respect privacy while providing great personalization in their original content.
So, how can carriers take this high road — that is, deliver personalized content experiences without storing consumers’ personal information? By focusing on the device itself – leveraging local storage and client-side execution (rather than requiring server interaction) to help carriers deliver a personalized experience that is incredibly safe. This allows carriers to implement the industry-changing trend of device-centric discovery (DCD), which makes it easy for subscribers to find news/sports/entertainment/games without having to wade through multiple apps and searches. With DCD, carriers can create personalized content experiences that don’t expose subscribers’ personal data to external privacy risks, and in the process, become mobile media leaders.
For years, digital marketers have paid hand over fist in the digital gold rush for data. Instead of a tangible product, tech companies earn millions in revenue from the data they collect on previous, current, and future digital consumers. But digital marketers seeking to gobble up as much data as they can for their campaigns — while not stopping to consider the source of or methods used to collect it — are taking the wrong approach. The age-old mantra of “quality over quantity” has never been more relevant in online advertising, and marketers must quickly and fully embrace first-party data or risk their digital campaigns (and bottom lines) falling flat.
After 25 years of framing technologies by level of maturity and adoption, the Gartner Hype Cycle has finally placed location intelligence for marketing where it belongs — in the trough of disillusionment. Sounds like a lousy place to be, but it’s actually the opposite. Why? The trough of disillusionment is the stage right before the slope of enlightenment. Let me back up and explain.
It doesn’t have to be this way. There are the seeds of a new generation of open platforms and technologies aimed at evolving the platform paradigm to one of transparency, value share, and universal governance representation. Sharing value with users via data revenue share; allowing users access to insights generated about them and their peers and help to understand who is trying to engage with them and why; rev share and benefits for service providers; collaborative governance; and abolition of unilateral platform expulsion or rule changes are just several of the major changes on the table. A whole host of new open platform operating protocols is emerging.
As more and more states pass separate privacy regulations into law, we will likely see an increase of noncompliance and fines across the board. Subsequently, we might see more companies begin advocating for the US to develop its own version of GDPR at the federal level in an effort to simplify compliance for companies nationwide.
To stay ahead of the imminent data privacy regulations, companies need to establish a culture of transparency and compliance. Consumers will be more confident in businesses that offer a clear value exchange when asked to share their data, and marketers and publishers will build stronger relationships with users.
The privacy movement will have ripple effects throughout the media and advertising worlds that Street Fight covers. In fact, you could argue that privacy issues are most sensitive whenever we’re talking about content or ads that are targeted based on the user’s location. So how is the location-based media world dealing with these shifts? This is the question we’ll strive to answer throughout the month.