For years, digital businesses operated on a simple assumption: the more a company knows about a user, the more precisely it can tailor advertising, recommendations, pricing, and the product itself. Companies collected browsing and purchase histories, location data, contact information, search queries, and dozens of other signals, while the sheer volume of accumulated data came to be viewed almost as an asset in its own right.
Today, some companies are taking the opposite approach: collecting only the information they actually need, processing sensitive data directly on a user's device, protecting communications with end-to-end encryption, or allowing users to decide for themselves what is stored and for how long.
For some customers, these conditions are already influencing both product choice and willingness to pay. In 2026, Harvard Business Review published a dedicated analysis of privacy as a growth strategy. Researchers examined 360 corporate announcements of new or enhanced data-protection measures and evaluated their relationship to business performance rather than looking only at regulatory compliance.
In a Usercentrics and Sapio Research study of 11,000 people across seven countries, 52% of respondents said they would be willing to pay more to brands that explain more clearly how they use data in AI, with an average stated premium of 7%. At the same time, 47% had already canceled subscriptions, switched services, or reduced spending because of concerns about how companies were using their data in AI.
Privacy is increasingly becoming a feature of the product itself: a way to differentiate from competitors, strengthen trust, and reduce the amount of information a company has to store and protect.
When More Data Does Not Mean a Better Product
For years, data collection was justified by personalization: to make a more accurate recommendation, a service needed to know its users better. But additional information does not always create proportional value. At some point, another layer of data may improve the product only marginally while increasing the costs of storage, security, and compliance-as well as the potential consequences of a breach.
According to Usercentrics, 71% of respondents consider AI-powered personalization intrusive. Among users who better understand how data practices work, 53% feel comfortable with personalization, compared with just 19% among those who are less familiar with privacy issues.
Complete anonymity is not what every customer wants. For many people, something else matters more: understanding what information the company receives, why it needs it, and whether they can later change their decision.
Research published by Harvard Business Review in 2026 using data from 16,000 U.S. users found that stronger privacy protections do not necessarily reduce the amount of information people are willing to share voluntarily. When users better understand their rights and feel more control over their data, they may actually become more willing to provide information in certain situations.
In other words, a large volume of data does not automatically translate into a deep understanding of the customer. Sometimes a smaller amount of information, shared knowingly and voluntarily, can be more valuable to the business.
What Customers Actually Get from Privacy
A promise that "we care about your data" is no longer enough to distinguish a company from its competitors. Privacy matters when it is built into the product itself: when the company technically does not receive unnecessary information, deletes it once a task is complete, or allows people to use a service without disclosing their real personal details.
A Smaller Digital Footprint
U.S.-based Cloaked has built its product around the idea that users should not have to give the internet their real contact information every time. The service allows people to create alternative email addresses, phone numbers, and other identifiers, as well as remove personal information from data-broker websites.
In March 2026, the company raised $375 million in new funding. According to Cloaked figures cited by TechCrunch, the service had more than 350,000 paying customers at the time and had removed more than one billion records from data-broker platforms.
In effect, users are paying to reduce the number of places where their real personal data exists.
Private Communication
Proton offers secure email, cloud storage, calendar, VPN, password management, and other products without relying on advertising or the sale of user data. The company earns most of its revenue from paid subscriptions, while basic functionality remains free.
This business model reduces the product's dependence on monetizing user data through advertising. The customer is the source of revenue, so the company has a stronger incentive to demonstrate the value of the service than to build the most detailed possible profile of its audience.
At the same time, basic privacy protections at Proton are not locked behind a paid plan: subscriptions provide additional features while also helping fund the free, privacy-focused version of the service.
Data the Company Never Sees
Apple builds privacy into the architecture of its devices and services. Whenever possible, Apple Intelligence processes requests directly on the device. If a task requires a more powerful model, the system can send the necessary data to Private Cloud Compute. According to Apple, the server receives only the information required for that specific request; once processing is complete, the data is not retained and is not accessible to Apple itself.
This approach requires more sophisticated technical infrastructure, but it limits the amount of information the company can access. For customers, privacy is not a separate paid feature-it is part of the broader value of the product and ecosystem.
How a Business Makes Money While Collecting Less
Privacy can be built into a business model in different ways. Proton sells additional functionality within a protected environment. Cloaked makes money by helping users manage their digital identities and reduce the amount of personal information available publicly. Apple incorporates privacy into the overall value of its hardware-and-software ecosystem.
In other cases, privacy helps customers choose between products with otherwise similar functionality. For both individual and corporate buyers, factors such as data-retention terms, the provider's rights to use information, the ability to delete data, and transparency around access can all influence the decision.
A company does not necessarily have to charge a separate "privacy fee." The economic effect may appear through a higher price for the core product, lower customer churn, stronger brand trust, or greater willingness among users to share the information the company genuinely needs.
Fast Company has also highlighted the importance of clarity. A lengthy privacy policy does little to help customers understand what is actually happening to their information. Much more useful is the ability to quickly answer a few simple questions: What data is being collected? Why is it needed? Who is it shared with? And how can the user opt out of further use?
WIRED recently tested just how difficult it can be for users to exercise rights that already exist on paper. One of its journalists submitted more than 100 requests to U.S. companies for access to their own personal data. Some organizations initiated deletion instead of providing the requested information, closed accounts, or were unable to correctly carry out the procedures described in their own policies.
Against that backdrop, good service can stand out for something remarkably simple: customers do not have to spend months trying to find out what a company knows about them or how to have that information deleted.
So Should Privacy Be a Premium Service?
If freedom from tracking, secure communication, and control over personal data are available only for an additional fee, privacy becomes a privilege.
There is an important difference between a service that limits data collection by default and charges for additional functionality, and a model in which users effectively have to pay to stop excessive surveillance. It therefore makes more sense to associate premium privacy with the quality of its implementation: convenient data controls, secure infrastructure, an ad-free experience, a smaller digital footprint, and clear settings.
As AI becomes more widespread, this question is becoming increasingly practical. Digital services are gaining access to communications, documents, voice data, financial information, and personal context. The more deeply a product works with this kind of information, the more important it becomes to ask how much of it the company truly needs to see and retain.
For years, the digital market competed on the ability to collect more user data and use it more precisely for personalization. Businesses now have another way to compete: creating high-quality products while knowing less about the customer.
For some products, that may become a premium advantage in its own right.
