Return on Identity Calculator

Fill in the form with your data to see how a more accurate identity verification solution can impact ROI

Almost there! Please, share your details to see the results:

The total number of new customer accounts generated each year. This metric helps measure business expansion or the efficiency of systems that facilitate customer enrollment and acquisition.
The proportion of total submitted applications deemed fraudulent, based on industry standards or external reports. This percentage provides a benchmark for assessing a company's risk of fraudulent applications relative to industry norms.
In this calculation, we use 2% as a blended average of different verticals.
The percentage of fraudulent accounts identified and stopped before the adoption of a new solution. This baseline metric is used to compare fraud detection capabilities before and after the implementation of the technology.
The percentage of error-free or successful outcomes in a given process, such as fraud detection or identity verification. A higher completion rate indicates a more reliable system with fewer mistakes or inefficiencies.
The average financial impact of each fraudulent account on the business, including direct financial losses and associated costs like recovery efforts or reputational harm.
Lowered exposure to application fraud:

Adjust Desired completion rate to see the impact.

This model calculates fraud-related losses only. Learn more about Return on Identity™ Framework.

Explanation

Adjust the Desired Completion Rate to determine the optimal target for your business case.