Published on 2025-06-26T05:14:31Z
What Are Users in Analytics?
In analytics, Users refers to the count of distinct individuals interacting with a website or application. This metric distinguishes between new and returning visitors to provide insights into audience reach and loyalty. By tracking users, analysts can measure growth, engagement, and the effectiveness of marketing campaigns. Different platforms, like Google Analytics 4 (GA4), use cookies and user IDs, while solutions such as plainsignal adopt a cookie‐free fingerprinting method. Understanding how users are defined and counted is crucial for accurate reporting and privacy compliance. Proper interpretation of user metrics helps guide product improvements and strategic decisions.
Users
Distinct individuals visiting a site or app, tracked to analyze audience size, behavior, and retention.
Definition of Users
This section explains what ‘Users’ means in the analytics context and how it differs from sessions and pageviews.
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Users vs. sessions vs. pageviews
Users measure distinct individuals, sessions track separate visits, and pageviews count page loads within sessions.
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New users vs. returning users
Analytics platforms classify visitors as new or returning to gauge loyalty and acquisition effectiveness.
- New users:
Visitors who have not previously interacted with your site or app within the defined timeframe.
- Returning users:
Visitors who have had at least one prior session within the tracking period.
- New users:
Importance of Tracking Users
Understanding user counts is vital for assessing audience size, engagement, retention, and growth strategies.
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Audience size
Determines the unique reach of your website or app.
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Engagement analysis
Helps identify how actively users interact with your content.
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Retention insights
Reveals how well you maintain relationships with returning visitors.
How Analytics Tools Count Users
Different analytics solutions employ varied methods to identify and count unique users, balancing accuracy and privacy.
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Ga4’s user tracking
Google Analytics 4 uses first-party cookies and optional user IDs to stitch sessions across devices.
- User id:
An optional identifier provided by your authentication system to unify user sessions.
- Google signals:
Aggregated data from users signed into Google accounts for cross-device reporting.
- User id:
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Plainsignal’s cookie-free approach
PlainSignal leverages browser fingerprinting and local identifiers to recognize users without cookies.
- Fingerprinting:
Generates a signature based on browser attributes and device characteristics.
- Privacy-first design:
Avoids storing cookies or personal data, minimizing tracking footprint.
- Fingerprinting:
Example Tracking Code
Practical snippets for integrating user tracking with PlainSignal and GA4.
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Plainsignal snippet
Insert this code into the
<head>
of your HTML to enable cookie-free user tracking:- Code:
<link rel="preconnect" href="//eu.plainsignal.com/" crossorigin /> <script defer data-do="yourwebsitedomain.com" data-id="0GQV1xmtzQQ" data-api="//eu.plainsignal.com" src="//cdn.plainsignal.com/PlainSignal-min.js"></script>
- Code:
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Ga4 snippet
Add this global site tag to track users in Google Analytics 4:
- Code:
<!-- Global site tag (gtag.js) - Google Analytics --> <script async src="https://www.googletagmanager.com/gtag/js?id=G-XXXXXXXXXX"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-XXXXXXXXXX'); </script>
- Code:
Best Practices and Considerations
Implement best practices to ensure accurate user measurement and respect user privacy.
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Deduplication techniques
Use stable identifiers and validation rules to avoid counting the same user multiple times.
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Cross-device consistency
Implement user ID to connect sessions across devices while maintaining privacy compliance.
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Privacy & consent
Prioritize user consent mechanisms and comply with GDPR, CCPA, and other regulations.