User Analytics
This section will give you an idea of the key statistics of your LoginRadius app. This guide will provide insights about the multiple statistics available in the Console-->Insights tab, which represents user information about various aspects of analytics. This tab contains useful charts and analytic tools to view and measure your site's overall performance in terms of user registration and login. The information is aggregated and categorized into identity analytics and login analytics. These analytics will help improve the overall application performance and understand the user experience.
Business Use Cases
LoginRadius Customer Analytics provides essential visibility into identity-related data for companies. Here are common use cases:
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Client Onboarding Health
Monitor how actively new users log in and engage with your platform post-onboarding. -
SSO Provider Effectiveness
Evaluate which login methods users prefer to guide identity provider (IdP) integration and strategy. -
Compliance & Risk Oversight
Track blocked or deleted profiles to ensure regulatory compliance and identify security anomalies.
Key Highlights
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Identity-Focused Dashboards Track user profiles, login methods, and identity journeys — all tailored for identity data.
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Ready-to-Use Analytics No setup is needed. Insights is built into the LoginRadius Admin Console and works out of the box.
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Actionable Business Metrics Metrics Empower non-technical teams like marketing and product with real-time data to guide decisions.
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Campaign & Source Tracking Understand how login sources (e.g., Google, Facebook) perform across campaigns.
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Self-Serve for Business Teams Insights is designed for ease of use — no technical skills are required to access meaningful data.
Key Terminology
This section defines commonly used terms in LoginRadius Customer Analytics:
| Term | Definition |
|---|---|
| UID (User Identifier) | A unique identifier is assigned to each user account and linked to all user activities, authentications, and profiles. |
| Active Customers | Users who have logged in during the selected period. Example: 100 active users in the last 7 days means 100 unique users logged in. |
| AAU (Annual Active User) | A UID that performed at least one activity (e.g., login, profile update) within the past 12 months. Counted only once per UID per year, regardless of login method or frequency. |
| MAU (Monthly Active User) | A UID is active at least once in a calendar month. Tracked in the backend for reporting and billing accuracy. |
| DAU (Daily Active User) | A UID that logged in or performed an identity-related action within a single day. Used in backend systems for daily activity tracking. |
| User Profile | Represents each login method used by a user. A single UID may have multiple profiles (e.g., email, Facebook, LinkedIn). Billing and active user counts are based on UID, not the number of profiles. |
| Identity Provider (IdP) | A login method or service (e.g., Password, Google, Apple ID, Email OTP). Multiple IdPs linked to the same UID are counted as one user. |
| Provider vs. Social Provider | - Provider: Any login method configured for your site (e.g., Email, Facebook, Twitter). - Social Provider: Only those used for social login (e.g., Facebook, Twitter). |
| Billing User Count | The number of unique UIDs used for billing. Not based on the number of profiles or login attempts — ensures fair billing by avoiding duplicates. |
Analytics
The Analytics section in the LoginRadius Console provides a clear view of how users interact with your platform — from account registration and profile completion to login frequency and return behavior.
It combines identity creation metrics with login activity to give your team a unified view of user engagement. You can filter the data by timeframe, identity provider, domain, or profile type to focus on specific user segments.
You can leverage this section under the Admin Console's Insight--> Customer Analytics.The LoginRadius Console divides Customer Analytics into two focused modules:
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Identity Analytics
Insights into your user database include account status, profile creation, deletions, blocks, etc. -
Login Analytics
Analyze login behavior, top identity providers, login frequency, and distribution trends, etc.
- Identity Analytics
- Login Analytics
| Parameter | Description |
|---|---|
| Total Customer Accounts | Number of unique accounts registered on your platform. |
| Total Customer Profiles | Accounts with completed profile data like name, age, etc. |
| Blocked Profiles | Accounts temporarily disabled due to policy violations or manual actions. |
| Deleted Profiles | Accounts removed by users or administrators. |
| Total Customers Over Time | Line chart showing cumulative growth of registered accounts. |
| New Customer Accounts | Users who signed up during the selected date range. |
| New Customer Profiles | Users who completed profile details post-registration. |
| Blocked Profiles | Number of accounts blocked during the period. |
| Deleted Profiles | Number of accounts removed during the period. |
| ID Provider | Displays users' methods to register or log in, such as Email/Password, Google, Facebook, or enterprise SSO (e.g., Ping Identity, Okta). This helps optimize your login experience by identifying the most preferred methods. |
| Age Group | Shows how users are distributed across age ranges like 18–24, 25–34, 55+, and more. This is useful for tailoring content and interface design for different demographics. |
| Browser Distribution | A pie chart showing the most common browsers used to access your platform—such as Chrome, Safari, Firefox, and others. It helps ensure your front end is optimized for the most used platforms. |
| Device Usage | Indicates whether users primarily access your platform via desktop, mobile/tablet, or other devices. Useful for guiding design and feature decisions across screen sizes. |
| Region | A geographic view of user distribution. Highlights where your users are located—e.g., North America, Asia, Europe. Enables location-based customization, localization, and market focus. |
| Gender | Shows a breakdown of user gender data (if collected): Male, Female, Other, or Unknown. It can be used to support personalized experiences and inclusive design decisions. |
| Parameter | Description |
|---|---|
| Total Logins | Total number of login attempts during the selected timeframe. |
| New Logins | First-time logins during the selected timeframe. |
| Top Provider | Most frequently used identity/login method (e.g., Email, Google). |
| Site Login Distribution | Daily login activity shown in a line chart. |
| Daily Active Users | Number of unique users logging in each day. |
| Monthly Active Users | Number of unique users logging in each month. |
| ID Provider | A bar chart shows the provider's logins (e.g., Email, Google). Helps identify which login methods are most popular and may influence future UI decisions. |
| Browser Distribution | A pie chart represents each browser's percentage of logins (e.g., Chrome, Safari, Firefox).Useful for browser compatibility testing and prioritization. |
| Device | A bar chart showing how many logins originated from Desktop, Mobile/Tablet, or other devices. Helps optimize performance and design based on dominant platforms. |
| Customer Return Rate | Indicates the average number of times a user returns and logs in using a particular identity provider.Example: Email users log in on average 2.1 times during the period. Useful for understanding stickiness and login behavior. |
Best Practices
- Use filters smartly: Apply date ranges, domains, or profile types to narrow your analysis scope.
- Encourage profile completion: More detailed user data improves segmentation and reporting.
- Watch for anomalies: Unusual spikes in blocked or deleted users may signal system issues or abuse.
- Track trends regularly: Weekly or monthly check-ins help identify what’s working or needs improvement.
- Export and share: Most charts are exportable for team reporting or deeper data work.
Conclusion
LoginRadius Insight's purpose-built for business teams who need fast, actionable identity data — without relying on technical support or complex tools. Unlike SIEM platforms, which are designed for security monitoring and require technical expertise, Insights is:
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Ready to use with no setup.
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Easy for non-technical users to understand and navigate.
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Focused on identity trends, login behavior, and user journeys.
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Perfect for business use cases like campaign tracking and per-domain segmentation.
It doesn’t replace a SIEM — it complements it. While your SIEM supports security and compliance, LoginRadius Insights empowers your teams to make smarter, faster business decisions.