Retail Ecommerce

By 2018, US online sales are expected to reach $414 billion dollars. While this upward trend is promising for Ecommerce merchants, internet fraud is also rising, with Forrester predicting fraud losses to also increase to $3.6 billion.

Precognitive leverages continuous innovation, machine learning, and decades of industry expertise to stay ahead of emerging fraud techniques, safeguarding your business and your customers.

How It Works:

Payment Fraud

Precognitive collects and analyzes a multitude of data coming from the devices being used and the activity occurring on your online properties. This combined data provides a clear picture of all the activity on your site, so at the time of transaction your system reacts–approve or decline.

We start compiling data before consumers hit the buy button, following their activity from the first page they view until to the end of their transaction. Our technology enables you to see what a consumer has been looking at when they visit your digital properties , how they navigate through your site, and how they interact with your brand.

By bridging together device and behavioral intent indicators with transactional data, we are able to provide real-time decisions that perform with high accuracy while reducing manual review rates and lost revenue due to inaccurate declines.

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Account Creation

During any online activity, there are hundreds of data points occurring simultaneously. Precognitive aggregates and analyzes device and behavioral data in real-time, understanding what’s legitimate and what’s not.

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Account Creation

During any online activity, there are hundreds of data points occurring simultaneously. Precognitive aggregates and analyzes device and behavioral data in real-time, understanding what’s legitimate and what’s not.

Learn more >>

Loyalty Account Fraud

Users typically access their loyalty accounts through a specific set of devices and locations, repeating a similar sets of actions. Prior planning via visits to your site is also typically involved, providing additional intent signals that we can identify. These traits are observed and profiled by our platform creating a contextual awareness of the consumer’s devices, behavioral patterns, and their intentions, making it simple to understand if it’s a consumer or a crook.

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