Identity Dashboard (Early Access)

The Identity Dashboard gives you an at-a-glance view of user identifier activity across your selected workspace. Use it to monitor active user profiles over time, including total, known, and anonymous profiles, and to see how those trends break down by input, or data source.

The dashboard highlights trends and relative changes. Use it alongside recent implementation changes and input configuration updates to diagnose the cause of spikes or drops.

Glossary

Before exploring the Identity Dashboard, it’s important to clarify the definitions of some terms and concepts related to identity resolution.

Profile

In mParticle, a profile is the consolidated record mParticle builds to represent a user and their activity over time.

Profiles are each uniquely identified by an mParticle ID (MPID), and typically include:

• Identifiers used to recognize the user (for example customer ID, email address, and device IDs)
• User attributes you collect or set (for example plan type, loyalty status, region)
• Event history associated with that user (for example app events, web events, commerce activity)

Known profile

A known profile is a user profile that has at least one known ID (or login ID) attached to it. These are identifiers that can represent the person across sessions and devices, such as:

• Email
• mParticle ID
• Customer ID
• Other login or account identifiers you send through your identity strategy

The exact list of login identifiers for your workspace depends on your selected identity priority. In practice, profiles usually become known when you identify the user after authentication or when you otherwise provide a first-party identifier.

Anonymous profile

An anonymous profile is a user profile that does not have any known user identifiers. Anonymous profiles commonly represent pre-login activity, such as browsing or app usage before a user signs in.

Active profile

An active profile is any profile that mParticle ingested at least one event for during the selected day or date range, depending on the specific graph you are viewing.

Identifier

Identifiers (sometimes called identities) are specific key-value pairs (such as email addresses, phone numbers, or customer IDs) that IDSync uses to recognize users across different devices, platform inputs, and sessions.

Input

An input (data input) is a configured data source that sends events into mParticle, such as the Web SDK, iOS SDK, Android SDK, or a server-to-server integration. Inputs are scoped per workspace.

Using the Identity Dashboard

To find the Identity Dashboard, log into your mParticle account and navigate to Customer 360 > Identity Dashboard using the left-hand navigation.

You can limit the results shown in the dashboard to a specific data input using the input selection dropdown menu at the top of the page. Either leave the selection to All Inputs to view data for all inputs, or select one or more specific inputs to view metrics for.

Data environment

Use the data environment dropdown menu to view the identity metrics for either your production or development data.

Date Range

Use the date range dropdown menu to select the time period you want to view identity metrics for. You can view metrics for the last 7, 30, 60, or 90 days (excluding the current day and previous day).

Summary

The summary section of the Identity Dashboard lists the total counts for all active profiles, known profiles, and anonymous profiles for the selected inputs, data environment, and date range.

Identity Resolution Health

This section provides metrics about the active profiles (and their associated identifiers) seen across different data inputs.

Known vs. Anonymous by Input

This chart shows the ratio of known to unknown active profiles for each data input during the selected date range.

Each bar represents one input (data source). The bar is split into two segments:

• Known: profiles that include at least one login ID, such as an email address or customer ID.
• Anonymous: profiles that don’t include any login IDs.

Use this chart to compare inputs and see which ones are accessing a higher share of anonymous profiles, which can help you identify where identifier collection may be incomplete.

Known vs. Anonymous Over Time

This chart shows how the number of total, known, and anonymous profiles changes over time for the selected date range.

The x-axis shows the date and the y-axis shows the count of profiles that were active on each date. Each line represents a different profile type:

• Total: all active profiles.
• Known: active profiles that include at least one login identifier (an identifier that can be used to recognize the user), such as an email address or customer ID.
• Anonymous: profiles that do not include any login identifiers.

Use this chart to understand how the mix of known versus anonymous profiles shifts over time and to spot sudden changes that may indicate an issue with identifier collection.

Identifier Coverage by Input

This chart shows the percentage of profiles that include each identifier, broken down by input, for the selected date range.

Each group on the x-axis represents one input (for example the Web SDK or iOS SDK). Within each group, each colored bar represents a different identifier type (for example email, customer ID, or mParticle ID). The height of each bar shows the percentage of profiles with that identifier type present that received events from the input.

Use this chart to compare how consistently each input processes key identifiers and to spot sources where identifier collection is missing or incomplete.

Profiles by Data Source Over Time

The Profiles by Data Source Over Time chart shows how many active profiles you had over time, broken down by data source, for the selected date range.

Each colored line represents one input (data source), such as a Web or iOS SDK integration or a custom feed. The x-axis shows the date, and the y-axis shows the number of active profiles seen from that data source on each day.

Use this chart to spot trends and changes in profile volume by source, such as spikes, drops, or gaps that can indicate changes in data collection or configuration.

Profile Composition

This section shows the identifiers present on your active profiles during the selected date range. Use these charts to understand which identifiers are most common, how identifier presence changes over time, and whether profiles are being seen with the identifiers you expect.

Identifier Distribution

The Identifier Distribution chart shows the total count of identifiers present on active profiles during the selected date range. An active profile is any profile with at least one event ingested during that date range. Each bar represents an identifier type (for example Email or Customer ID), and the bar length shows how many identifiers of that type are associated with the active profiles in the time window.

This chart reflects identifiers that exist on those active profiles, not only identifiers newly ingested in that period. For example, if an identifier was already associated with a profile before the selected date range, it is still counted as long as the profile is active during the selected date range.

Use this chart to see which identifiers are most common on your active profiles in the selected date range and which ones may be underrepresented.

Identifier Distribution Over Time

The Identifier Distribution Over Time chart displays the total counts of active profiles for each day within the selected date range that contain each listed identifier type. Each identifier type is represented by a different line on the graph.

Use this chart to track day-by-day changes in identifier presence on active profiles and to spot sudden shifts that align with implementation or configuration changes.