Can You Pay to Make Yourself Disappear From the Internet?

Subscription data-deletion services promise to scrub your personal information from the web. Research conducted by a cybersecurity specialist suggests their impact is far more limited than the marketing implies.

As concerns about digital privacy grow, a new class of subscription services has positioned itself as a solution to a problem many people only dimly understand. For an annual or monthly fee, companies such as DeleteMe, Incogni, OneRep, Aura, Atlas Privacy, and Mozilla Monitor promise to remove your personal information from data brokers—third parties that collect, aggregate, and sell personal data.

The appeal is straightforward. Search your own name online and you may find addresses, phone numbers, relatives, and past locations presented with unsettling ease. Paying a service to make that information disappear feels like a rational response.

However, internal research conducted by one of our senior IT systems administrators, who specialises in cybersecurity and privacy architecture, paints a more complicated picture. That research, discussed in detail during an internal interview, suggests that while these services are not fraudulent, they address only a narrow slice of a much larger data ecosystem—one that continuously regenerates the very data they aim to remove.

What data-deletion services actually offer

At a technical level, data-deletion services perform a specific and limited task: they submit opt-out or deletion requests to certain companies that publicly display personal information. These companies are most often people-search services, sometimes described as digital successors to printed phone books.

People-search sites aggregate public and semi-public records such as property filings, voter registrations, court records, and utility data. They typically publish names, addresses, phone numbers, and known relatives openly, while charging for more detailed reports. Because the data is directly identifiable, many of these services will comply with deletion requests—even in jurisdictions where they are not legally required to do so.

According to the cybersecurity specialist’s analysis, this compliance is rarely altruistic. It is more commonly driven by a desire to avoid regulatory scrutiny, legal exposure, or reputational harm.

Data-deletion companies automate this process. Instead of manually locating dozens of opt-out forms and repeating requests as data reappears, customers pay a subscription for that administrative work to be handled on their behalf. In that sense, the service does what it claims to do.

What it does not do is meaningfully reduce the total amount of data being collected about an individual across the wider data economy.

Why “data broker” is a misleadingly broad term

One of the central findings of the internal research is that the phrase data broker is used far too broadly in consumer-facing marketing. In practice, it refers to several very different categories of companies with vastly different data sources, incentives, and legal constraints.

Based on the specialist’s breakdown, data brokers can be grouped into five major categories.

People-search services

These are the primary targets of data-deletion subscriptions. They deal in directly identifiable information such as names, phone numbers, addresses, and family relationships. Removal is often possible, though rarely permanent.

Marketing data brokers

Marketing brokers focus on inferred data—patterns derived from browsing habits, purchases, location signals, app usage, and media consumption. This data is typically grouped into behavioural categories rather than tied to names or addresses.

Because this information is associated with advertising identifiers, cookies, or device IDs, there is often nothing concrete to delete. Even if a company wanted to remove “your” data, it may not be able to reliably identify which data belongs to you.

Credit reporting bureaus

Experian, Equifax, and TransUnion collect financial data used to determine creditworthiness. In the United States, individuals cannot opt out of this system. Data-deletion services have no ability to affect it.

Risk-mitigation and background-check brokers

Used by employers and landlords, these brokers aggregate identity, employment, rental, and financial history. Deletion rights are limited and highly dependent on jurisdiction.

Personal health data brokers

Perhaps the least regulated category involves health-adjacent data that falls outside traditional medical privacy laws. Purchase histories for medications, search queries about symptoms, fitness tracker data, and usage data from “smart” devices can all be collected and sold without triggering healthcare privacy protections.

The cybersecurity specialist noted that data-deletion subscriptions primarily operate in the first category. The remaining four account for the majority of data collection and resale—and are largely unaffected by deletion requests.

Why deleted data almost always returns

Even when deletion is successful, it is rarely final.

Public records continue to be updated. New addresses, purchases, account registrations, and interactions generate fresh data. People-search sites regularly re-ingest this information, recreating profiles that had previously been removed.

Outside people-search services, the problem becomes structural. Marketing data brokers rely on continuous behavioural signals rather than static records. Clearing cookies or resetting advertising IDs may temporarily disrupt tracking, but new identifiers quickly take their place.

Much of this data cannot be tied back to a named individual in a way that allows for deletion. It exists as probabilistic inference rather than a personal file. That ambiguity does not prevent misuse. When inferred data is combined with breached contact lists or public social media profiles, it can be used to support highly targeted scams and social engineering campaigns.

Interpreting the numbers

Subscription services often advertise impressive figures: thousands of “removals” or hundreds of “brokers covered.” The internal research suggests these figures can be misleading.

A single people-search site may list dozens of individual data points for one person—multiple email addresses, phone numbers, past residences, and relatives. Each of these may be counted as a separate removal, even when much of the information is outdated or incorrect.

In one example examined during the research, more than half of the data attributed to an individual by a single broker was demonstrably wrong. Nevertheless, each item was counted equally as a successful deletion.

By contrast, estimates suggest there are over 1,700 registered data brokers in the United States, a number constrained by limited state-level registration requirements. Globally, estimates place the number at more than 5,000. Most subscription services interact with only a small fraction of these entities.

Are these services legitimate?

From a technical and legal standpoint, the answer is yes. These companies generally perform the tasks they advertise. They are not scams in the traditional sense.

However, the cybersecurity specialist characterised their value proposition as narrow and frequently overstated. For residents of jurisdictions with strong “right to delete” laws, such services may save time by automating legally supported requests. For most consumers, they provide only partial and temporary relief.

The comparison drawn during the internal discussion was to consumer VPN services: technically functional, inexpensive to operate, heavily marketed, and unnecessary for many users. In both cases, the underlying issue—unrestricted data collection—remains untouched.

The deeper issue – data collection without constraint

The research ultimately points away from deletion and toward collection itself as the core problem.

In the United States, approximately 20 states have enacted some form of consumer privacy legislation, but none comprehensively restrict unnecessary data collection at the outset. As long as companies are permitted to collect, retain, and share vast amounts of behavioural data by default, deletion remains reactive and incomplete.

By contrast, regulations such as the European Union’s GDPR impose limits on what data can be collected in the first place. As a result, identical products often collect far less personal information in Europe than they do in the U.S.

Practical steps to reduce data exposure

While no single action can eliminate data collection entirely, the cybersecurity specialist identified several practical steps that meaningfully reduce exposure over time.

1. Manage advertising identifiers
Regularly reset or disable advertising IDs on phones and browsers. Clear cookies and site data to break persistent tracking links.

2. Reduce data at the source
Review privacy settings on major platforms and opt out of non-essential data sharing. Be cautious with smart devices that collect usage or health-related data.

3. Choose services more carefully
Free services often monetise user data aggressively. Email providers, browsers, and search engines vary significantly in how much data they collect and retain.

4. Block ads and trackers
Ad and tracker blockers reduce both data collection and the financial incentives behind it.

5. Limit public identity exposure
Avoid unnecessarily linking your real name to public-facing accounts. Review old profiles and remove personal details that can be cross-referenced.

6. Stay inconsistent and fragmented (break your patterns)

There are so many guides on the internet on this subject, so I thought I would just summarise the key strategies:

• Never use your real name unless required by law for any online account.
• Always use a different browser for each of your main tasks, such as banking, social media, etc.
• Sign up to services that offer multiple email addresses. Then use different ones for different functions.
• Use a VPN, but switch the country randomly. Also use a VPN when browsing on YouTube or using Facebook.
• When browsing YouTube, resist the temptation to click on the sidebar which suggests other videos that you might like.
• Only only privacy respecting browsers such as Brave, Librewolf, Firefox, etc.
• Never install extensions to these browsers, that offer to hide your identity.
• NEVER log into Gmail or Microsoft account unless you absolutely must and then always LOG OUT when you have finished the job that required the login. These are critical tracking identifiers that link all of your metadata.

7. Use deletion tools selectively
If you use a data-deletion service, treat it as a convenience—not a comprehensive privacy solution. Manual opt-outs can achieve similar results with time and effort.

8. Advocate for better rules
Structural change matters. Supporting stronger privacy legislation addresses the problem at its source rather than managing its symptoms.

9. Join the millions of people who are dumping MS Windows and going to Linux.

There are countless articles related to this current trend. It is never been a better time to do this. Don’t buy new PCs! Don’t leave yourself vulnerable. Don’t pay for subscriptions you don’t need.

A partial solution to a systemic problem

Paying to delete your data can remove some information from some websites for a period of time. It cannot stop new data from being generated tomorrow, inferred next week, or resurfacing next year.

As the internal research makes clear, disappearance is not something that can be purchased outright. In today’s data economy, privacy is less about one-time cleanup and more about sustained behavioural change—and, ultimately, regulatory reform.