Shopper DNA updates
We are in the process of rolling out changes to shopper DNA. If you have used shopper DNA before, see shopper DNA comparison.
Shopper DNA is a shopper network and identity analysis tool. By combining transaction data points, shopper DNA uncovers the networks that connect individual shoppers.
Requirements
Before you begin, take into account the following requirements and limitations.
| Requirement | Description |
|---|---|
| Integration type | Make sure that you have built an online payments integration, that risk is enabled, and that you have enabled premium features. |
| Customer Area roles | To view the shopper DNA page, you need the following roles:
|
| Limitations | By default, shopper details such as name, email, and IP address are masked. To view unmasked shopper details, your user must have the Merchant view PII user role. |
How shopper DNA works
Shopper DNA links transactions in clusters to identify a profile of a shopper even as they change devices, networks, and identities. This profile is dynamic and changes based on real-time data. Transactions link to a shopper profile only when they share identical identifiers.
If there is a match, the transaction is added to an existing shopper DNA profile. If there is no match, a new shopper DNA profile gets generated.
If a link is incorrect and causes over- or under-blocking, you can add shopper details to the relevant risk list in your risk profile to allow or block the next transaction that contains that shopper detail.
View shopper DNA
You can open the shopper DNA visualization in your Customer Area.
To open the shopper DNA visualization from the Payment details page, in your Customer Area:
- Select Transactions > Payments.
- Select the PSP reference of the transaction for which you want to see the shopper DNA.
- On the Payment details page, in the Shopper details widget, select See shopper DNA.
To open the shopper DNA visualization from the Case management page, in your Customer Area:
- Select Revenue & risk > Case management.
- Select the PSP reference of the case for which you want to see the shopper DNA.
- On the Case details page, in the Shopper details widget, select See shopper DNA.
The visualization is also displayed on the bottom of the Case details page.
Analyze shopper DNA
When you view shopper DNA, you see the following components:
The shopper DNA force graph
The visualization on the main canvas provides a live, expanded visualization of the shopper's network nodes and data attributes.
You can:
- Inspect nodes: hover over any node to increase its size, show the detailed tooltip, and highlight all its direct connections.
- Isolate networks: double-click a node to lock the visual highlight onto that specific attribute chain and automatically filter the payment list.
- Organize layouts: select and drag individual nodes around the canvas to re-arrange complex networks during deep-dive investigations.
To keep the canvas clean, the system automatically collapses non-linking attributes that contain more than 50 transactions of the same payment status into a single large node. For example, if there are 50 refused authorizations, these all collapse into a single node.
The Payments sidebar
The Payments sidebar tracks real-time transaction counts across the payment lifecycle. Statuses include Authorized / Settled, Refused by Issuer, Refused by Risk, Notification of Chargeback (NoF), Fraud Chargeback, Refunded, and Canceled.
To filter the graph and the payment list, select one or more of these categories.
The Attributes sidebar
The Attributes sidebar lists all verified identifiers associated with the shopper.
Shopper DNA comparison
We are upgrading the core shopper DNA infrastructure. This does not require any action on your part.
To streamline risk management workflows, the shopper DNA page now consolidates all shopper DNA views into a single, interactive graph.
Key changes
- Updated linking logic: the previous shopper DNA engine used a mix of both strong and weak identifiers to create customer profiles. The new engine only uses strong identifiers. This leads to a more consistent and more scalable shopper definition. It also ensures that the data that is used in custom rules and our machine learning models is defined in a consistent way.
- Reduce cases of overlinking: the new underlying logic reduces the chance that legitimate shoppers are incorrectly linked to fraudulent accounts.
- Increased operational efficiency: the redesigned user interface improves the visualization of why transactions are connected, reducing the time spent on investigation.
- Direct fraud management: you can block or allow specific shopper attributes directly from the shopper DNA page.