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Here’s Why FLoCs Are a Step Backwards in Data Personalization (And What to Do Instead)

Tim Glomb, VP of content and data at Cheetah Digital

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Tim Glomb, VP of content and data at Cheetah Digital.

Did you know that, according to a study by Accenture, 91% of consumers want a personalized online shopping experience?

But at the same time that buyers want personalization, they also want privacy. Consumers are growing more concerned about companies tracking their online activity across channels: The same study found that 35% of consumers said it’s “creepy” when a company send ads to social sites after a user browses its website.

To put it simply: There’s a fine line between anticipating customers’ needs and overdoing it with an invasion of online privacy.

With these concerns in mind, Google recently opted to get rid of third-party cookies in favor of a new system called Federated Learning of Cohorts, or FLoC. Instead of the cookies that often work in the background and track users as they travel from site to site across the internet, FLoC groups people together by their shared interests. This grants users a sense of anonymity online. Google, meanwhile, claims that it will still be able to offer personalization.

But that’s not possible. In fact, a FLoC-based strategy is a step backwards in data personalization.

Consumers Want a Targeted Customer Service Experience

What it comes down to is that FLoCs eschew layers of personalization in favor of broad generalizations. While users will have more privacy than they get with cookies, they’re more likely to receive inaccurate recommendations, because information about them is merely inferred.

Consumers want specificity from the brands they interact with, to improve the shopping experience. A fitting analogy is the in-store shopping experience, at least if the store has good customer service. Clients looking to buy specific items will be met by sales representatives, asked what they’re looking for, and offered solutions directly. That sort of precision and personalization is what consumers want, on a digital platform no less than in a store.

Don’t Overlook the Simple Solution

Privacy concerns have arisen in recent years largely due to those aforementioned “creepy” ad strategies. Ultimately, though, we’ve seen that customers are willing to share a little information about themselves in the interests of a better shopping experience. Think of customer surveys that offer discounts or chances to win, or consider style quizzes that help fashion-minded shoppers pinpoint exactly what they are looking for.

FLoCs are a quick fix, one that doesn’t acknowledge the core issue: Consumers want to be heard, and they want their voices to be respected. Putting them into larger groups doesn’t fulfill either of those desires.

There’s a simpler solution, though: zero-party data. A zero-party data strategy directly asks the buyer for information. This makes it clear from the start who’s gathering information and what for. Consumers understand exactly how their data is being used, allowing them to express their preferences and maintain privacy.

Zero-party data is the better solution for brands, too, because they get the chance to own their data. No longer do they have to “rent” it from third-party sites in a way that gives them no control over its use. You can do more with data you own because you can control where it’s stored and what’s done with it. Rather than lumping consumers together, you can now segment them for ad targeting on the basis of your own data points as well as deliver hyper-personalized email and SMS offers at scale.

If we want to move the needle forward in data personalization, and we do, we need to respect the customer’s wishes and change our data strategy accordingly. Zero-party data is the simplest way to acknowledge clients’ desires for privacy while ensuring that they still benefit from a customized experience.

 

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