Loyalty & rewards
Points, miles, and rewards currencies
Programs where the reported liability is driven more by accrual assumptions and expiry policy than by what members actually do.
What drives breakage here
The behavior specific to this program type
Expiry policy effects
Tier concentration
Redemption cost variance
Dormant member balances
How we analyze it
Our approach for this structure
Every step is built from your own history and reconciled to your reported position.
- 01Rebuild accrual and redemption activity per member and per earning cohort.
- 02Segment members by tier, engagement frequency, and balance band.
- 03Model expiry-driven and behavior-driven forfeiture separately.
- 04Derive redemption cost per option and weight by observed redemption mix.
- 05Convert forfeiture rates into a currency-denominated liability position.
- 06Produce sensitivity bands across engagement and expiry-policy scenarios.
Signals
When an audit is worth running
Flat accrual assumption
The liability is booked on a single redemption-rate assumption applied to all members.
Program redesign
You are changing earn, burn, or expiry rules and need the liability impact quantified first.
Large dormant base
A material share of point balances sits with members who have not transacted in years.
Engagement
Run your breakage audit
A confidential, analyst-led review of your stored-value liability — expected breakage, redemption behavior, and escheatment exposure quantified against your own data.
No engagement commitment required. Scope is confirmed before work begins.