Internet without cookies: alternatives for analyzing users

An Internet without cookies does not mean stopping measurement. It means measuring better.

For years, web analytics has relied on third-party cookies. But that model is disappearing. And it is not the end of digital marketing, but the beginning of a more solid one, based on first-party data, privacy, and technical control.

What does an Internet without cookies really mean?

An Internet without cookies mainly means that third-party cookies lose prominence. Not all cookies disappear.

The problem has never been the cookies themselves, but the reliance on unreliable external data.

What are cookies and what are they used for?

Cookies are small files that store user information. They are used to:

• Keep sessions active (login)
• Save preferences
• Personalize content
• Perform web analytics
• Manage advertising

Not all are the same. Here is the key. More info here:
👉 What are cookies? Types and how to use them

Why are third-party cookies disappearing?

Third-party cookies are falling for three reasons:

• Privacy: users demand more control
• Technology: browsers like Safari and Firefox block them
• Regulation: GDPR and ePrivacy limit their use

If you want to delve deeper, you can see our guide on
👉 GDPR and digital marketing: consent and personalization

What impact does this have on marketing and analytics?

The impact is clear:

• Less tracking between websites
• More difficulty for classic attribution
• Less complete data, but more realistic

Why are third-party cookies no longer sufficient?

Third-party cookies are no longer reliable or sustainable.

The old model was based on collecting a lot of data. The new one is based on better understanding the user.

Blocks by browsers and operating systems

Nowadays:

• Safari blocks third-party cookies by default
• Firefox applies similar restrictions
• Chrome is in the process of eliminating them

Result: traditional tracking fails more and more.

Greater regulatory requirements

Regulations like the GDPR require:

• Obtaining valid cookie consent
• Clearly explaining the use of data
• Reducing unnecessary tracking

Less data, but more need for quality

Before: more data = better
Now: better data = better decisions

What alternatives exist to analyze users without relying on cookies?

There is no single solution. Cookieless tracking combines several strategies.

First-party data: the most important asset

First-party data is the information you collect directly.

Examples:

• Forms
• Registered users
• Purchases
• Newsletter
• Behavior on your website

An online store understands a registered user better than an anonymous one with external cookies.

Cookieless analytics

Cookieless analytics is based on:

• Aggregated data
• Events
• Anonymized information

Less intrusive, more aligned with privacy.

Server-side tracking

Server-side tracking moves data collection to the server.

Benefits:

• More control over data
• Better measurement quality
• Less dependency on the browser

⚠️ Important: does not eliminate legal compliance

Conversion modeling

When everything cannot be measured, it is estimated.

Modeling uses historical data to:

• Complete missing conversions
• Improve attribution

Own identifiers and login-based data

Authenticated users = more reliable data.

Examples:

• Customer ID
• User account
• CRM

Contextual targeting and contextual analysis

In advertising, it returns to context:

• What content the user sees
• At what time
• In what environment

You don’t need to follow them across the web.

First-party data: the foundation of new digital analysis

First-party data is the new gold.

What first-party data can a company collect?

• Registrations and forms
• Purchase history
• Internal navigation
• Customer support
• Email marketing
• Surveys

How to obtain them ethically and usefully

The key is the value exchange:

• You offer content → you receive data
• Total transparency
• Informed consent

Example:

You download a guide → leave your email → enter CRM → receive personalized content.

How to connect them with CRM, analytics, and automation

The goal is a unified view of the user:

• Web + CRM
• Marketing automation
• Analytics

How to measure users and conversions in a cookie-free environment

Yes, measurement without cookies can be done.

Event-based measurement

Instead of sessions:

• Clicks
• Forms submitted
• Purchases

More useful and more accurate.

Use of aggregated data and trends

You don’t need to identify each user.

You can measure:

• Trends
• Global behaviors
• Performance by channel

More limited but more realistic attribution

There was never perfect attribution.

Now:

• Less individual precision
• More focus on global impact

KPIs that will remain key

• Conversions
• Leads
• Sales
• Engagement
• Retention
• Customer value

Metrics that change vs. metrics that remain useful

Metric	Before (with third-party cookies)	Now (Internet without cookies)
Unique users	High apparent precision	More realistic estimation
Attribution	Complete tracking between sites	Mixed and partial models
Conversions	Dependent on cookies	Events + modeling
Engagement	Secondary	Key to understanding the user
Customer value	Little worked on	Central in strategy

Tools and approaches for cookie-free analytics

Cookie-free analytics is not a specific tool, but a change of approach.

It is about measuring with less reliance on individual identifiers and more focus on aggregated data, events, and context.

Privacy-focused analytics platforms

These are solutions designed to minimize the use of personal data.

They are based on:

• Aggregated data
• Anonymization
• Without individual user identification

This allows for web analytics with privacy without relying on third-party cookies.

Traditional analytics suites adapted to the new context

Classic tools do not disappear, but evolve.

They incorporate:

• Data modeling to complete incomplete information
• Consent mode to adapt measurement according to consent
• Hybrid measurement (cookies + aggregated data + estimates)

The result is less precise analytics at the individual level, but more realistic.

Tagging and server-side measurement

Server-side tracking moves data collection from the browser to the server.

This allows:

• Reducing dependency on browser blocks
• Improving data quality
• Having more control over what is sent and how

Additionally, it facilitates more secure integrations with other tools.

Integration between analytics, CRM, and automation

This is where the real change is.

It’s no longer just about measuring visits, but about building a complete view of the user within your own ecosystem.

This implies:

• Connecting analytics with CRM
• Unifying customer, lead, and web behavior data
• Activating that data in marketing campaigns

Practical example:

A user downloads a guide → enters your CRM → interacts with emails → returns to your website → converts.

All that journey can be measured without third-party cookies if you work well with your own data.

👉 In this scenario, analytics stops being just measurement and becomes a key piece of your business strategy.

What does all this mean for your website?

The change is technical, but also strategic.

Review the banner and consent management

It must be:

• Clear
• Legal
• Consistent with your measurement

More info here:
👉 The importance of the cookie banner on websites

Audit what data you collect and why

Less scripts, more sense.

Bet on a more controlled infrastructure

This is where server virtualization comes into play:

• More control of the environment
• Better performance
• Greater security
• Ability to implement advanced tracking

Related to this:
👉 Security 2026: Zero-Trust, early detection, and compliance for your web

Improve forms and capture of own data

Less external dependency. More control.

Advantages of a more privacy-respectful analytics model

A cookie-free analytics model is not just a legal obligation. It is a strategic improvement.

When you reduce third-party dependency, you gain control, quality, and sustainability.

More user trust

Privacy and web analytics are not incompatible.

In fact, when you clearly explain what data you collect and why:

• Trust in your brand increases
• Perception of transparency improves
• It is more likely that the user will accept consent

A user who trusts your website is more likely to register, buy, or return.

More valuable own data

First-party data has less volume, but much more value.

Why?

• It is more accurate (comes from your own relationship with the user)
• It is up-to-date
• It has real context (purchases, interactions, interests)

Example:

An email obtained with consent is worth much more than ten anonymous third-party identifiers.

Better control of infrastructure and measurement

By reducing reliance on third-party cookies:

• You control what data you collect
• You decide how they are processed
• You avoid losses due to browser blocks

This is where a good technical foundation comes into play: reliable hosting, clean integrations, and more controlled environments (for example, through server virtualization).

The more control you have over your infrastructure, the more reliable your measurement is.

More sustainable long-term strategies

The digital ecosystem is moving towards:

• More regulation
• More privacy
• Less invasive tracking

Adapting now means:

• Avoiding abrupt changes in the future
• Building a stable strategy
• Not relying on solutions that may disappear

The cookie-free future is not a trend, it is the new standard.

Challenges of the Internet without cookies

This change also has costs. Ignoring them would be unrealistic.

Less individual user visibility

Without third-party cookies, it is more difficult to:

• Follow a user across different websites
• Reconstruct their entire journey
• Make perfect attribution

You lose individual detail, but gain a more honest view.

Greater technical complexity

Implementing solutions like:

• Server-side tracking
• Integrations with CRM
• Data modeling

requires:

• Technical knowledge
• Implementation time
• Sometimes, specialized support

It’s no longer enough to «put a script and that’s it».

Changes in attribution and reporting

Classic models (last click, for example) lose meaning.

Now:

• There is more incomplete data
• Estimates and models are used
• Attribution is less exact

But also more realistic: there was never perfect measurement.

Need for coordination between teams

Before, analytics was a marketing thing.

Now it involves:

• Marketing (strategy and activation)
• Legal (consent and compliance)
• Technology (implementation and data)

Cookie-free tracking is no longer an isolated decision, but a transversal one.

Frequently Asked Questions

What does an Internet without cookies mean?

It means, above all, an environment where third-party cookies lose weight or disappear as the basis for advertising and analytical tracking between websites. It does not imply the end of all cookies.

What is the difference between own cookies and third-party cookies?

Own cookies are created by the site you visit and are usually used for functions like session, preferences, or internal analytics. Third-party cookies come from external services and are widely used for advertising and cross-site tracking.

How can users be analyzed without cookies?

It can be done through first-party data, cookieless analytics, server-side tracking, aggregated data, conversion modeling, and authenticated users within the digital ecosystem itself.

What is first-party data?

It is the information that a company collects directly from its users or customers through its own website, forms, CRM, purchases, registrations, or consented interactions.

Does server-side tracking eliminate the need for consent?

No. Although it improves the technical control of measurement, it is still necessary to comply with privacy regulations and obtain consent when appropriate.

Can conversions be measured without third-party cookies?

Yes. It can be done by combining events, first-party data, statistical modeling, CRM integrations, and server-side measurement.

What advantages does a more privacy-respectful analytics have?

It provides more trust, better legal compliance, greater control over data, and a more sustainable strategy in the face of browser and regulatory changes.

What should a company do to adapt to an Internet without cookies?

Review its consent, strengthen its first-party data, update its analytics stack, evaluate server-side options, and prioritize data quality over third-party dependency.

How to prepare for a cookie-free future

Here is an actionable summary:

1. Prioritize first-party data
2. Review your analytics stack
3. Implement cookie-free measurement (events + server-side)
4. Define what data you really need
5. Connect CRM, marketing, and analytics

You don’t need more data. You need better data.