Loyalty & Rewards Fraud Detection

Your loyalty program was built to grow members. Not to catch fraud.

We find the fraud hiding in your loyalty program. Marketing owns the program. Finance tracks the budget. Your data team runs reports. Nobody's looking at behavioral fraud patterns in your rewards data — that's where we come in.

Book a 30-Min Call → See the Gap

The blind spot in your rewards program

What your program was built to do
  • →Grow members
  • →Drive engagement
  • →Increase repeat purchases
  • →Reward your best customers
What it wasn't built to catch
  • →Redemption patterns over months
  • →Coordinated account clusters
  • →Synthetic members farming points
  • →Promo abuse below every threshold
What we do
  • →Run behavioral signals against 12+ months of data
  • →Surface patterns nobody else is looking for
  • →Document findings with dollar amounts
  • →Deliver every SQL query used — nothing hidden
// Loyalty fraud across US programs
$3.1B
in stolen reward-value per year
72%
of programs have experienced fraud
4–5x
more attacks on loyalty accounts
42%
of merchants say protection is inadequate

The Fraud Signal Diagnostic

We connect to your data, run behavioral detection signals against your rewards program history, and tell you exactly what's leaking and where.

Your data never leaves your environment.

What you get

  • Behavioral signal scan across 12+ months of rewards data
  • Flagged accounts, entities, and patterns with dollar exposure
  • Every SQL query we used — glass box, nothing hidden
  • Executive summary your leadership team can act on
Scope Loyalty & rewards data
Data access Flexible — your data never leaves
Platforms Snowflake, BigQuery, Redshift, Databricks
Data depth 12–24 months
Timeline 2–3 weeks
Deliverable Exposure report + all SQL
Austin Ocampo
Founder, Antigenic Analytics

Former senior analyst on the risk and fraud team inside a Fortune 50 rewards program. I built the behavioral signals that uncovered redemption abuse, synthetic accounts, and coordinated exploitation — patterns that were invisible to every existing tool in the stack.

B.S. Econometrics & Psychology, UC Irvine. $26M+ in documented fraud exposure across prior roles.

Signal library on GitHub →

Think your program might be leaking?

30 minutes. Walk us through your rewards environment. We'll tell you if a diagnostic makes sense.

Book a Call → Email Us Instead