Global Activity Network

Every organization sees a fraction of an identity

You know when someone creates an account, makes a purchase, opens a message, applies for a product, or interacts with your systems. You do not see the history that came before, or the activity occurring beyond your walls.

AtData does. Our global activity network processes more than 150 billion deterministic signals each month, creating longitudinal context around email identities that helps organizations understand not just whether an identity exists, but how it has behaved over time.

That broader view turns a familiar identifier into something more valuable:
A persistent signal of identity, activity, and trust.

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Your customer history starts when they meet you. Their identity history does not.

A new customer is new to your organization. They are not new to the world.

The email presented during signup may have existed for a decade, appeared consistently across established environments, and accumulated a long history of normal activity. Or it may have appeared yesterday.

Inside your own data, those identities can look identical.

Network-level intelligence makes the difference visible. By observing email identities across a broad ecosystem over time, AtData can provide context that no individual enterprise could reasonably build from its own interactions alone.

Why Email Identity

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Activity creates identity memory.

The value of the AtData network is not simply the number of events it processes. It is what those observations reveal when they accumulate around a persistent identifier.

History – How long has this identity existed?

AtData records when an email identity first appears within its observed history. That historical depth helps differentiate established identities from those with little or no prior footprint.
Signals include: Date first seen and Longevity

Activity – Is the identity still showing signs of life?

Historical existence alone does not establish current relevance. AtData continuously observes activity that can indicate whether an email remains active, providing a more current view of identity than static databases alone.
Signals include: Recent activity and engagement intelligence

Velocity – How much activity is occurring?

AtData evaluates the relative volume of activity observed around an email over time. That can help distinguish identities displaying established patterns from sudden or unusual changes in behavior.
Signal: Email velocity and anomalies

Popularity – How broadly is the identity observed?

An email seen consistently across multiple independent sources carries different context from one with a limited footprint. AtData measures the breadth of observed activity to provide another dimension of identity confidence and engagement.
Signal: Email popularity and consortium intelligence

Domain behavior – What can the infrastructure around the identity reveal?

Activity accumulates around domains as well as individual addresses. AtData uses domain-level history and behavioral intelligence to identify characteristics that may affect identity confidence, including newly emerging, temporary, disposable, or unusually behaving domains.
Related: Domain risk

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The same network revealing opportunity and risk

Growth and fraud teams often evaluate different outcomes. They are frequently evaluating the same underlying question:
What does the behavior around this identity tell us?

The network is neither a marketing dataset nor a fraud dataset. It is an identity intelligence asset whose meaning changes with the decision.

For growth

Network activity can help organizations understand which identities remain active, which audiences deserve priority, whether dormant customers are still digitally engaged, and how acquisition sources differ in quality.

Use it to improve:

• Lead prioritization
• Customer segmentation
• Reactivation
• Audience quality
• Customer-data enrichment
• Behavioral modeling

Understand Your Customers

For risk

Longitudinal activity can help distinguish identities with credible history from those displaying limited history, unusual velocity, disposable infrastructure, automation, or other patterns associated with increased risk.

Use it to improve:

• Account-opening decisions
• Synthetic-identity detection
• Promotion-abuse prevention
• Transaction risk
• Fraud models
• Manual-review strategies

Assess Identity Risk

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Context becomes more valuable as identity becomes easier to manufacture.

Names can be generated. Addresses can be obtained. Phone numbers can be provisioned. Email accounts can be created in seconds.

AI can increasingly make the resulting identity appear convincing.

What is more difficult to manufacture instantly is credible history.

Years of observed activity cannot be created at signup. A sustained digital footprint cannot simply be inserted into the past. Relationships and behavioral patterns become more informative as individual attributes become easier to replicate.

AtData’s network adds that temporal dimension.

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Scale matters because patterns rarely announce themselves once.

An isolated event may mean very little. Patterns emerge through repetition.

A newly active domain may appear innocuous to one organization. A particular identity pattern may seem unusual but inconclusive. A surge in activity may be impossible to interpret without something to compare it against.

A broad activity network creates additional context.

The objective is not to collect the most signals. It is to recognize meaningful patterns sooner, establish stronger behavioral baselines, and turn distributed observations into intelligence that improves an individual decision.

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From network observation to decision-ready signal

AtData does not require enterprises to analyze billions of network events themselves. We transform network activity into intelligence designed for existing workflows.

That can include:

• Observed intelligence

  Dates and activity associated with an identity.

• Derived signals

  Measures such as longevity, velocity, popularity, and recency.

• Model outputs

  Scores that combine multiple signals for specific growth or risk decisions.

Organizations can consume the level of intelligence appropriate to their use case through real-time APIs, batch processing, licensed data, and supported integrations.

Use the score. Use the individual signals. Use both.

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Built on persistent identity. Strengthened by Experian.

AtData has spent more than 25 years building intelligence around email as a durable digital identifier. Today, that foundation includes a global network processing more than 150 billion deterministic signals every month.

As an Experian company, AtData’s email intelligence now sits alongside one of the world’s broadest collections of identity, data, analytics, and decisioning capabilities creating new opportunities to provide deeper context across the customer lifecycle.

The combination strengthens a principle AtData has pursued from the beginning:
Better identity decisions require more than a snapshot. They require memory.

AtData + Experian

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Know more before you decide.

Your systems already know what an identity is doing with you. AtData adds the history and network context needed to understand what that activity means.