Stout served as valuation and accounting advisor to a national online grocery retailer in connection with the calculation of the financial statement liability associated with its customer loyalty rewards program. The objective of the engagement was to estimate the amount the Company would ultimately be required to honor for outstanding customer reward points and determine the appropriate liability to record on its balance sheet under revenue recognition guidance.

The engagement involved the development of a predictive quantitative framework to estimate ultimate redemption behavior and fair value per point using transaction-level customer data. We analyzed monthly point issuance, forfeitures, and redemptions, reconstructing redemption cohorts under a first-in-first-out methodology. Multiple statistical curve-fitting techniques (including power, logarithmic, polynomial, and exponential decay functions) were evaluated to model customer redemption cadence and forecast future redemption rates. Based on goodness-of-fit metrics (R-squared, RMSE, MAE) and overfitting considerations, an exponential decay model was selected to project future redemptions and derive an ultimate redemption rate on outstanding points.

We further estimated the weighted value per point across multiple redemption tiers, incorporating utilization patterns between discount-based and gift-based redemptions and applying a tier-weighted fair value methodology. The final liability was calculated by multiplying outstanding points by the estimated value per point and the projected redemption rate, resulting in a quantified contract liability for inclusion in the Company’s financial statements.

The report and underlying methodology were reviewed and accepted by a Big Four audit firm as part of the Company’s year-end audit process. Our work provided management with a defensible, data-driven estimate of its loyalty program liability, supported by documented modeling assumptions, sensitivity considerations, and independent certification.