Email Behavioral Insights

Every Digital Identity Tells a Story: Are You Reading Between the Lines?

Not all fraud is obvious. Some accounts look legitimate on the surface—valid emails, clean IPs, nothing suspicious at first glance. But real users have real behaviors. Their digital identity unfolds naturally over time:

• They create an account, verify their email, and engage with your platform.
• Their email history shows steady, organic activity.
• Their interactions follow patterns that reflect genuine engagement.

Fraudsters try to mimic this, but their behavior tells a different story.

• Their email might be brand new, created just days ago, with no real history.
• They cycle through multiple addresses, signing up with variations of the same name.
• They move too fast, engaging in patterns that no real customer would follow.

AtData’s behavioral insights spot the red flags you might otherwise miss, catching suspicious activity before it turns into fraud. By tracking how an email behaves over time, how often it’s used, where it pops up, and whether its patterns make sense, you can stop bad actors in their tracks without making life harder for your real customers.

What Suspicious Behavior Looks Like, and How AtData Spots It

Fraud isn’t just about data; it’s about the patterns behind the data. AtData connects these dots to stop fraud before it starts.

• Rapid-Fire Account Creations

  A single device signs up with ten different emails in minutes. Legitimate customers don’t do that — fraudsters do.
  AtData Detects: Email velocity and platform tumbling to flag excessive sign-ups.

• Fake Accounts That Seem “Too Perfect”

  Fraudsters don’t want to stand out, so they create synthetic identities with just enough legitimacy to pass basic checks.
  AtData Detects: First activity date, longevity signals, and past engagement history.

• Unusual Activity Spikes

  A dormant account suddenly makes multiple high-value purchases in one day. Was it a holiday sale… or an account takeover?
  AtData Detects: Behavioral shifts that don’t match normal customer engagement.

Behavioral Insights in Action: Stopping Fraud Before It’s Too Late

A fraudster signs up with an email that looks legitimate. Nothing about it raises an immediate red flag.

But here’s what AtData sees:

• The email was created last week — too new to have a history.
• It’s linked to multiple sign-ups across different accounts.
• It shows rapid engagement but no organic behavior.

On its own, each detail might seem minor. Together, they reveal a high-risk identity that needs immediate attention. With AtData’s fraud prevention tools, you can:

• Flag risk in real time based on email activity and engagement signals.
• Stop fraud at the source before chargebacks, account takeovers, or synthetic identities wreak havoc.
• Reduce false positives by analyzing actual behavior instead of just static data points.

Preventing fraud should be smart, adaptable, and frictionless. With AtData, it is.

Fraudsters Can Fake Credentials, but They Can’t Fake Real Behavior

Synthetic identities, bot-driven sign-ups, and account takeovers all rely on passing surface-level security checks. But real users behave in real ways.

AtData helps you tell the difference.

Start with a fraud strategy that actually sees what’s happening behind the scenes. Stop fraud before it escalates.