ROI estimator

What is identity fraud costing you?

Size your fully-loaded fraud-loss exposure and the recovery you could transfer to an insurer. Adjust the inputs to match your book.

120,000
$2,200
1.4%
$750K
Annual fraud-loss exposure
120,000 new accounts × 1.4% fraud rate = 1,680 fraudulent accounts × $2,200 avg exposure = $3.7M direct loss × 4.41 (LexisNexis True Cost of Fraud loaded-cost multiplier) = $16.3M
$16.3M
Fully-loaded, at 4.41× direct loss
Insured recovery
$16.3M exposure × 55–80% insured recovery = $9M–$13M
$9M–$13M
Est. payback
Est. premium $4.1M ÷ midpoint recovery $11M × 12 months = 4.4 mo
4.4 mo
Net annual benefit
Midpoint recovery $11M − est. premium $4.1M + prevention-spend efficiency = $7M
$7M
≈ $4.1M est. premium

Estimate only. Coverage and premium are contingent on underwriting and approval.

Methodology

How the estimate is built

Transparent assumptions, industry sources, no black box.

Direct loss

New accounts per year × estimated fraud rate × average exposure per account. The face value of fraud before the costs it drags behind it.

4.41× fully-loaded cost

Every dollar of fraud costs far more than its face value once you add fees, interest, labor, chargebacks, and remediation. We apply the LexisNexis True Cost of Fraud™ multiplier of 4.41× to reach fully-loaded exposure.

Insured recovery (55–80%)

Not all loaded exposure is insurable in every book. The estimate shows a conservative-to-optimistic recovery band on the fraud loss Instnt can underwrite.

9.3× sample premium return

On an illustrative book, recovered loss runs roughly 9.3× the premium. Your actual premium depends on underwriting — this sizes the order of magnitude, not a quote.

Sources: LexisNexis True Cost of Fraud™ Study (4.41× multiplier). Recovery band and sample premium return are illustrative and vary by institution. This tool produces an estimate only; coverage, premium, and claims are contingent on underwriting and approval, and backed by Munich Re and Swiss Re, each rated A+ (Superior) by AM Best.

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