What “annoying tracking” usually means

“Get rid of annoying tracking 2” is about reducing the real-world effects of tracking: repeated recognition across sites, behavioral profiling, and the resulting ads or content that “follow” you. In practice, tracking systems typically combine multiple signals rather than a single magic ID.

Common building blocks include:

  • Cookies and similar storage that remember preferences or identifiers between visits.
  • Browser and device signals (for example, properties and capabilities that can be used to create a fingerprint-like profile).
  • First-party vs. third-party data flows where site operators collect your activity directly, and ad/analytics services may also collect across sites.
  • Cross-site correlation using shared infrastructure, redirects, embedded resources, or matching identifiers.

How it works, step by step

Most tracking can be understood as a loop:

  1. A website loads scripts or embedded resources from multiple providers (analytics, ads, widgets).
  2. Those providers write or read identifiers in your browser storage (cookies, local storage, or other client-side mechanisms).
  3. Providers observe events (pages viewed, clicks, scrolling, form interactions) and send them back to servers.
  4. Over time, separate visits and websites can link activity to the same browser/device/account context.
  5. Your future experience is influenced by the collected profile (recommendations, ad targeting, “you visited this before”).

Even if you block obvious third-party tracking, websites can still have first-party analytics or embedded content that behaves similarly from your perspective. That’s why the “annoying” part can persist.

Differences and limits you should expect

Reducing tracking is rarely all-or-nothing. Important limitations include:

1) Partial blocking vs. complete removal

Cookie blocking and tracker prevention can reduce identification and cross-site linking, but they may not fully stop tracking because:

  • Some data is stored in other ways than classic cookies.
  • Some tracking is server-side for logged-in accounts, where the identity is known beyond the browser.
  • Residual identifiers can still arise from browser/device characteristics.

2) Breakage and trade-offs

Stronger privacy settings can:

  • disrupt sign-in flows,
  • change site layout or preferences,
  • reduce personalization.

That doesn’t necessarily mean tracking is gone—sometimes it just means the site can’t retrieve the same context.

3) “Tracking” can be legitimate measurement

Not every measurement is intrusive or abusive. Some analytics and audience measurement can be privacy-preserving in design, while other systems focus on profiling and ad targeting. Your goal is to reduce the annoying outcomes, not to assume every measurement is identical.

Practical checks: confirm what you reduced

Use verification steps that focus on observable signals rather than assumptions.

Check 1: Browser storage and trackers

  • Open your browser’s privacy or site settings and review stored cookies and site data.
  • Look for third-party storage (or high-frequency entries from many domains) tied to ad/analytics providers.
  • After applying stricter settings, confirm whether the number and persistence of these entries decreases.

Check 2: Network activity

  • Use developer tools (Network tab) or the browser’s request inspection features.
  • When you visit a site that used to “follow you,” compare:
    • number of external domains contacted,
    • presence of known tracking endpoints,
    • repeated requests that write identifiers.

If the same categories of requests still appear, tracking may still be happening through other channels.

Check 3: Revisit the same site patterns

A practical test is to:

  • visit a site that triggers noticeable ads,
  • then repeat the visit under stricter privacy settings (or after clearing relevant data),
  • observe whether the “memory” effect becomes weaker.

Be cautious: long-term profiling and logged-in contexts may retain behavior signals.

To place “get rid of annoying tracking” in context, distinguish these related ideas:

  • Privacy controls: browser settings and permissions that limit storage and cross-site activity.
  • Identifiers: cookies, local storage, and other persistent or semi-persistent tokens that keep state.
  • Fingerprinting: deriving uniqueness from combined browser/device characteristics.
  • First-party data: tracking that occurs directly through the site you are visiting.
  • Account-based linkage: tracking that follows you because your identity is known on the server.

If you want tracking reduction to “stick,” focus on the combination of client-side restrictions and the contexts you control (logged-in sessions, cleared storage, and permissions).

A realistic conclusion

You can usually reduce annoying tracking significantly by limiting client-side storage, preventing cross-site tracking, and verifying changes with browser tools. However, expect residual tracking in certain contexts (accounts, first-party analytics, and non-cookie signals). Treat improvements as a spectrum you measure, not a guarantee.