RevenueProtect | New layout & Automated Risk

General

1. What is RevenueProtect?

RevenueProtect is Adyen’s built-in risk management toolkit that helps merchants to safeguard their business by detecting, preventing and responding to fraud. A combination of static risk rules and machine learning help merchants to make the right risk decisions and consequently fight fraud, reduce costs and increase conversion.

2. What is the difference between RevenueProtect Basic and Premium?

RevenueProtect comes with a set of risk rules that are free of charge that we refer to as Basic. This includes velocity, consistency and referral (block and trust) checks available to any merchant upon onboarding. In addition to the Basic setup, RevenueProtect Premium offers more sophisticated tools and features for an extra fee such as machine learning, ShopperDNA, case management and custom risk rules.

3. How can I find out if I am on RevenueProtect Basic or Premium?

To find out whether you are using RevenueProtect Basic or Premium, login to the Customer Area and go to the “Risk” Section. At the top of the page, see if the “RevenueProtect premium features” toggle is switched on or off. For the new layout, there will be a label with either “Basic” or “Premium” next to the profile name.

New Profile Layout

1. Why are you introducing a new layout?

As part of our ongoing efforts to constantly improve our risk management offering, we’ve redesigned the layout of the risk profile, making it easier for you to manage your risk settings in the Customer Area.

2. Will my current risk profile change because of the new layout?

We improved the user flow and the navigation across the features, but we will not apply any change to your current settings or risk rules as part of this redesign.

3. How long will the transition to the new layout take?

We expect to complete the transition to the new layout in the first half of 2022.

4. Is it possible to keep using the old layout?

Unfortunately not, all merchants will be transitioned to the new design.

Old layout

New Layout "Profile Overview"

New Layout "Manual Risk" tab

Automated Risk

1. What are the eligibility criteria for Automated Risk?

Eligibility for Automated Risk depends on the following criteria:

Adyen needs to have sufficient data on risk refusal, chargeback and false positive rates in order to determine if Automated Risk is available.
The merchant needs to have a paid RevenueProtect Premium contract.

2. How will I know if I am eligible for Automated Risk?

If you are eligible, you will be able to see a third tab under the Risk page in the Customer Area labeled as “Automated Risk” in the coming months.

3. What will happen when I switch on Automated Risk?

Many risk rules will be configured automatically, but not all of them. When you switch on Automated Risk, we disable all ShopperDNA and Velocity rules. That means these rules will be turned off, even if you had configured them previously. We also disable all Referrals, Consistency checks and External rules that have a risk score below 100. You have to re-enable these rules manually in your risk profile to continue to use them.

Automated Risk is powered by a machine learning model that focuses on minimizing the risk that a payment will result in a fraudulent chargeback. As a result of that, Automated Risk aims to optimize your authorization rate.

You can still use the rule builder to create custom rules to accept, reject, review, authenticate certain transactions to address specific business policies or logic, or to address unique risks faced by your business.

4. Can I still use manual risk rules in combination with Automated Risk?

Yes, it will still be possible to set up custom risk rules or any other rules that are currently not covered by Automated Risk.

Important: When you enable Automated Risk, the current machine learning model is trained to predict the probability of a payment resulting in a fraudulent chargeback. This means that Automated Risk does not cover zero-value auth payment requests and transactions made with payment methods that cannot be disputed, or for which disputes are handled outside Adyen's dispute flow such as PayPal. Additionally, a small number of velocity rules cannot be used in combination with Automated Risk.

If you used machine learning within RevenueProtect earlier, you may have used a different model. Reach out to your Adyen contact to find out what this means for your specific situation.

5. Can I disable Automated Risk at any time?

Yes, it is possible to disable Automated Risk at any time. Once, disabled your initial configuration and risk scores will be available again for enablement. However, we will not automatically re-enable them.

6. Do I have any insights into the risk decisions made by the machine learning model?

Yes, our machine learning solution works in a transparent way meaning it explains the reasoning behind every decision that is made by the model.

7. How can I be sure that Automated Risk performs better than my current profile?

When you enable an automated risk profile, our risk engine evaluates transactions using machine learning. Our machine learning model is trained on data points collected from the large number of payments that we process. We continuously improve the model to minimize the risk of payments resulting in fraudulent chargebacks.

We aim to provide you with the best settings for your company. You can adapt your risk appetite in the Automated Risk configuration, and you will be able to monitor risk performance and compare risk profile settings using the Customer Area.

8. Do I need to pay for the Automated Risk feature?

Yes, this feature is part of our RevenueProtect Premium product, which is available for an additional fee.

9. What is the best strategy when enabling Automated Risk?

We recommend selecting the "dynamic" option because it automatically adapts settings for each merchant account linked to the given risk profile depending on each merchant account's fraud level.

10. What risk patterns is machine learning trained on?

At the moment, our machine learning model is trained to minimize the risk that a payment will result in a fraudulent chargeback. As a result of that, Automated Risk aims to optimize your authorization rate.

Because the fraud landscape is ever changing, and new trends are emerging, we aim to continuously adapt our machine learning model to improve its performance.