Fraud cost calculator
What does fraud cost you?
Enter a few numbers about your onboarding and get an estimate of your yearly fraud losses and manual review costs. Your numbers stay in your browser.
Accounts or customers you onboard each month.
Share of sign-ups that turn out to be fake, stolen or synthetic identities. Not sure? Try a few values to see the range.
Chargebacks, written-off credit, abused bonuses and the time spent cleaning up.
Share of sign-ups someone on your team checks by hand.
From opening the case to a decision.
Salary plus overhead, per hour.
CHF 540,000
in fraud losses and manual review work
Every 10% of fraud you stop at onboarding saves CHF 48,000 a year.
Every 10% fewer manual reviews saves CHF 6,000 a year.
How it's calculated
Simple maths, no hidden assumptions.
Fraud losses
Sign-ups per month × 12 × share of fraudulent sign-ups × average loss per fraudulent account.
01Manual reviews
Sign-ups per month × 12 × share sent to review × minutes per review ÷ 60 × hourly cost of a reviewer.
02What it leaves out
Regulatory fines, customers who drop out of a slow onboarding, good customers wrongly rejected, and damage to your brand. Your real cost is likely higher.
03Want to bring that number down?
We'll look at your onboarding with you and show which checks catch which kind of fraud, and where automatic decisions can replace manual reviews.
