Five ways to turbocharge your manual reviews using Ravelin's solution

With Ravelin, manual reviews are done after the customer has completed the transaction. The machine learning model scores each customer based on their every interaction on the website and will allow, prevent or send a 3D Secure challenge on every payment live as it goes through. Later, fraud analysts can view the customers to make decisions on edge cases, confirm decisions made by the model and investigate anomalies using the dashboard.

Sam works closely with our investigations team and clients to come up with solutions that help Fraud Analysts improve their ways of working. There are some lesser known - but still impactful - features that help save you time.

Previously, you would open the Ravelin dashboard, build a list using filters to select customers to view, and then need to click into each one individually to view their specific profile.

Now you can open any customer profile in the list and click the ‘Toggle customer view’ button with two arrows in the top left. This will pull the list of the customers onto the left side of your screen, with all filters from your previous search still applied. This allows you to quickly move down the list directly from the customer profile, without needing to return to the customer list and select the next customer.

There’s also a “Needs review” option so you can filter out customers who have already been reviewed.

Our new customer quick search feature allows you to search for a particular customer instantly from anywhere in the dashboard. Previously, analysts would need to navigate to the Explore section to search for a customer, and now they can do it from anywhere, anytime.

This is especially useful if you’re looking to go to a specific customer profile quickly, you can type or paste a customer’s name, email address, customer ID or phone number to reach them instantly. Simply start typing and select the customer you’re looking for in the results.

In the Ravelin dashboard, you can use Explore to segment your customers and filter the ones you’re interested in eg. new accounts, suspicious locations or unusual spending habits.

Now you can save the filters you create, so that you can come back and see customers who meet the criteria later on. Each time you create a filter you’ll see the option to “Save Filters”. When you save the filter combination you can name it and choose whether you want to save it just for yourself or for your team also. Both your team and your personal saved filters will then appear in the dropdown above your filters list.

When you open a customer profile you can click on the Locations tab to see a heatmap of the fraud hotspots, with the most fraudulent locations showing as red.

In the past, these heatmaps would only show an analyst fraud hotspots based on the data from their own business. Now, we give you the option to view fraud hotspots based on all location based fraud we’re aware of.

Finally, a small but powerful tool to save time. From the Explore section, you can open a saved list or build a new one from scratch using filters.

When you have your list open, you can sort the data by column by clicking any of the column headings. Clicking once will sort in ascending order, twice in descending order, and a third click of the same column will undo the sorting.

That completes the round-up of our 5 new hacks to save time on your manual reviews.

Stay tuned for more tips to improve your ways of working, and if you’re interested to learn more, get in touch with our team here.